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information systems research paper ideas

39 Information Systems Dissertation Topics Ideas

As the name depicts, information systems dissertation topics revolve around the information technology sphere of organizations and industries. Information systems research topics include both primary as well as secondary levels of research studies and their complexities differ in accordance with the academic and degree levels at hand. Other Related Post Computer science dissertation topics Internet […]

Table of Contents

Best Information Systems Dissertation Topics Ideas for College Students

Given below is an extensive and enriched list of information systems thesis topics for our clients so that they go through the list and find something as per their interest and priority:

A historical analysis of information systems management: focus on the past three decades.
The role played by leadership, alignment, and planning in the domain of information systems management.
Research in information systems management: focus on post-COVID time period.
International information systems management: potential challenges and risks involved.
Information policy and international information systems management: a systematic analysis.
Information systems management and global operations: a review of the literature.
Importance of case studies and integrated projects in teaching information systems management.
A comparative analysis of practitioners and academicians in the field of information systems management.
How information technology supports businesses: the role played by information systems management.
Information systems management practices: a descriptive analysis.
Information systems management and the public sector: focus on the key issues.
Utilization of consumer internet data: ethics in information systems management.
Software development: groupware and problem-solving in a correlational analysis.
Research in the field of information systems management: focus on new innovations and ideas.
Cognition digital twins for personalized information systems of smart cities: Proof of concept
Information management systems: comparing private and public organizations in country X.
Machine learning-based diagnosis of diseases using the unfolded EEG spectra: toward an intelligent software sensor.
Relationship between information systems management and risk management systems: a comparative analysis.
Judging the IT department performance in an organization through information systems management.
Information systems management graduate school curriculums: a descriptive study.
Relationship between organizational learning and information systems management: a systematic analysis.
Quality management in the domain of information systems: a descriptive analysis.
Management of big data in developing countries of the world: a review of the literature.
Strategic information systems management: focus on the role of a balanced scorecard.
Delivery of information system: formation of a hypothetical framework.
Information quality management framework: a review of the literature.
Information systems hierarchy: a systematic analysis.
Importance of big data and business intelligence for the sustainable development in organizations: a UK-based approach.
Correlation between information systems management and risk management infrastructure to attain business risk resilience.
Effects of COVID-19 pandemic on the information systems management of X country.
Role of structured versus unstructured data in the domain of information systems management.
Business intelligence and information systems management: a review of the literature.
Effects of information systems on organizational performance: pre and post COVID analysis.
The Determinants of management information systems effectiveness in small-and medium-sized enterprises.
IT governance implementation and information systems management.
IS strategic planning and management services: a descriptive review.
Information system security at international levels: a review of the literature.
Developing a hypothetical model for measuring quality in information systems management.
The effects of information systems compatibility on firm performance following mergers and acquisitions
Implications of Knowledge Organization Systems for Health Information Exchange and Communication during the COVID-19 Pandemic

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Information Systems Research Paper Topics

An IS (Information System) is a specific system that is widely applied for accumulating, storing and processing the data to offer sufficient details. Across Information Systems, here we discuss the numerous interesting information systems research paper topics which cover the different perspective of performance analysis:

Performance Analysis of Cloud Computing Services
Focus : Depending on adaptability, productivity, accessibility and response time, assess the function of cloud services like Azure, AWS and Google Cloud especially for various financial scopes and requirements.
Evaluating Database Management Systems for High-Volume Data
Focus : In course of dealing with big data applications, contrast the performance metrics of SQL vs. NoSQL databases like data integrity mechanisms, collaborative management and query response time.
Machine Learning Algorithms in Predictive Analytics: A Performance Study
Focus : Beyond various enterprises, contrast and estimate the capability, resource allocation and authenticity of different machine learning techniques in predictive analytics programs.
Network Performance Analysis in Software-Defined Networking (SDN)
Focus : In business networks, this study emphasizes the capacity of network management, response time and productivity and includes in assessing the performance impacts of executing SDN (Software- Defined Network).
Performance Impact of Cybersecurity Measures on Information Systems
Focus : Based on resource distribution, user approachability and speed, examine various cybersecurity contexts and tools like encryption, firewalls and intrusion detection systems on how it influences the function of IS (Information Systems).
Usability and Performance Analysis of Mobile Payment Systems
Focus : On the basis of classification errors, transaction rate and safety precautions, the consumer satisfaction and system utilities of different mobile payment systems are efficiently explored.
The Role of Artificial Intelligence in Enhancing Database Performance
Focus : The database performances like data indexing, outlier detection and self-generated query optimization process are significantly enhanced through this study which involves in examining the AI (Artificial Intelligence) methods , in what way it might be deployed to enhance the database
Analyzing the Performance of Real-Time Data Processing Frameworks
Focus : While operating the large-scale data streams, this research aims to contrast the capability and expandability of real-time data processing environments like Spark Streaming, Apache Kafka and Apache Storm.
Impact of Virtualization on IT System Performance
Focus : In IT (Information Technology) systems, crucially investigate the performance compensation of utilizing virtualization technology that incorporates adaptability, operating expense and resource distribution.
Evaluating the Effectiveness of IT Service Management (ITSM) Tools in Large Organizations
Focus : Regarding the capability of IT process, client experience and supplying the services, evaluate the effects and function of ITSM tools like BMC Remedy and ServiceNow.
Blockchain Technology: A Performance and Scalability Analysis
Focus : Encompassing supply chain management, cryptocurrencies and smart contracts, the ad ability difficulties and production constraints blockchain technology is intensely analyzed in this research.
Performance Benchmarking of IoT Platforms
Focus : This research mainly highlights the collaborative feature, adaptability and dependability, the function of various IoT platforms is evaluated in organizing the data collection, refining process and device integration.
The Effect of Edge Computing on Network Performance and Latency Reduction
Focus : On the subject of IoT and mobile applications, assess the edge computing systems on how it decreases the response time and enhances the network performance as compared to conventional cloud computing models.
Analyzing the Performance of Content Delivery Networks (CDNs) in Streaming Services
Focus : In the process of providing high-capacity streaming services internationally, this research area involves contrasting the capability, authenticity and speed of diverse CDNs (Content Delivery Networks).

How to write Research Problems for Information Technology Research?

In a clear and specific format, the problem statement must be exhibited in accordance with your study which aims to contribute. For Informational Technology research, a systematic process of writing a research problem is suggested by us:

Find the Broad Area of Interest

Among the intriguing topics in the IT (Information Technology) domain, begin the process by detecting the extensive area like software development, cloud computing, AI (Artificial Intelligence), cyber security and data analytics. For specifying the certain problems or issues within the domain, this measure is very significant.

Conduct a Preliminary Literature Review

To interpret the research, what is already accomplished, detecting the gaps in literature and exploring the areas which require sufficient examination, conducting an initial literature review is very crucial. You can identify the related magazines, research papers and journals by making use of ACM Digital Library, Google Scholar and IEEE Xplore.

Identify Specific Problems or Gaps

Recognize the technological problems, gaps in literature and certain issues which are not yet resolved, depending on your literature review. It might be a specific perspective of technology which does not perform properly, the effect of evolving technology on existing IT applications or unaddressed queries.

Define the Research Problem

In an explicit, unique and attentive manner, research problems need to be presented. The declared research question must define where the problem appears, what is the main challenge and the consequences of the issues. Key requirements and dedications for this IT domain of your research require to be clarified by your problem statement with sufficient productive details.

Justify the Research Problem

Briefly describe the issue, why it is significant to solve in the research. The importance in enhancing the experience or technology, significance to the domain should be addressed. Regarding institutions, society and industry, examine its expected implications. Capability of your study might be determined by this clarification.

Ensure the Problem is Researchable

By means of data collection and analysis process, the chosen research problem ought to be something to explore. The problem must not be very extensive as well as nor to be short. Within the limitations of technical capacities, resources and time, it should be practically workable for your research.

Formulate Research Questions or Hypotheses

Extract the certain hypotheses or research questions which your research intends to contribute or investigate from the research problem. In accordance with your detected issue, the research question needs to be intensive in an obvious format.

A Sample of a Well-Defined IT Research Problem

Broad Area : Cloud Computing Security

Literature Review : In cloud frameworks, the certain problem of data vulnerabilities because of insider hazards is underexplored, even though there is an existence of numerous studies on cloud security.

Specific Problem : Considering cloud-based IT systems, the insider threats are considered as important and emerging security problems. In the process of identifying and reducing the attacks efficiently, still it has the necessity for extensive tactics.

Problem Statement : Still insider violations are unavoidable problems which might result in data vulnerabilities that harm the user’s secrecy and firm security policy, even though the adoption of cloud computing methods is getting modernized. To identify and reduce the insider hazards in cloud frameworks, this study mainly aims to detect the productive tactics.

Clarification : For the purpose of preserving the accessibility of data, reliability and morality, solving the insider attacks is very significant. This study intends to improve cloud security through advancing more productive detection and reduction tactics. Specifically for firms and individuals, it extends the reliability in cloud services.

Researchability : In simulated cloud frameworks, the problem is explorable by means of the advancement of innovative tactics, evaluation of current security algorithms and the analysis of their capacities.

Information Systems Research Paper Projects

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Information Systems Research

Foundations, Design and Theory

© 2023
Mohammed Ali 0

Salford Business School, University of Salford, Manchester, UK

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Provides a comprehensive overview of research philosophy and design in contemporary IS research
Offers a perspective on practical case studies for applying research design in contemporary IS research
Equips researchers with contemporary skills, knowledge, and techniques for contemporary IS research

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Table of contents (15 chapters)

Front matter, introduction to information systems research concepts, historical background of is research.

Mohammed Ali

Research Philosophies in Social Science and Information Systems Research

Applications of research designs in is research, contemporary is theory and methodological applications, practical applications of information systems research, methodological approaches to studying the multidisciplinary areas of is, application of research methodologies in contemporary information systems research, data collection procedures for contemporary is research, piloting and feasibility studies in is research, analysis procedures and tools for analysing contemporary information systems research, planning for the analysis phase: a framework of data analysis procedures, analytical methods used in contemporary is research, analytical tools used in information management, digital business, ict and information science, ethics and ethical procedures in information systems research, data protection, confidentiality and anonymity, ethical procedures and processes in is research, development of findings and concluding the information systems research project, writing and transferring the findings in is research projects.

research design
information management
digital business
information science
research philosophy
global issues

About this book

Authors and affiliations, about the author.

Mohammed Ali is a Lecturer in Digital Business and Information Systems and the programme lead for Business Management with Innovation and Technology at the University of Salford Business School, UK. He is a Senior Fellow of Higher Education with extensive teaching experience. His research interests fall under the socio-technical and system complexities of information systems and digital disruption and he has published widely in the area of digital transformation, digital technologies for higher education, and information systems to facilitate remote work and for managing crisis situations. He is currently involved in various academic projects that aim to promote research-informed teaching in areas such as complex issues in information systems development, systemic practice in information systems action research, sociotechnical issues in information systems adoption and digital innovation and sustainability theories.

Bibliographic Information

Book Title : Information Systems Research

Book Subtitle : Foundations, Design and Theory

Authors : Mohammed Ali

DOI : https://doi.org/10.1007/978-3-031-25470-3

Publisher : Palgrave Macmillan Cham

eBook Packages : Computer Science , Computer Science (R0)

Copyright Information : The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

Softcover ISBN : 978-3-031-25469-7 Published: 16 September 2023

eBook ISBN : 978-3-031-25470-3 Published: 15 September 2023

Edition Number : 1

Number of Pages : XXV, 256

Number of Illustrations : 7 b/w illustrations, 41 illustrations in colour

Topics : Business Information Systems , Big Data , Operations Research/Decision Theory , Business IT Infrastructure , Computer Science, general

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Viewpoint: Information systems research strategy

This article 1 , 2 has two aligned aims: (i) to espouse the value of a strategic research orientation for the Information Systems Discipline; and (ii) to facilitate such a strategic orientation by recognising the value of programmatic research and promoting the publication of such work. It commences from the viewpoint that Information Systems (IS) research benefits from being strategic at every level, from individual researcher, to research program, to research discipline and beyond. It particularly advocates for more coordinated programs of research emphasising real-world impact, while recognising that vibrant, individual-driven and small-team research within broad areas of promise, is expected to continue forming the core of the IS research ecosystem. Thus, the overarching aim is the amplification of strategic thinking in IS research – the further leveraging of an orientation natural to the JSIS community, with emphasis on research programs as a main strategic lever, and further considering how JSIS can be instrumental in this aim.

Introduction

This article is motivated by the viewpoint that Information Systems (IS) research (and all research) benefits from being strategic 3 at every level, from individual researcher, to research program, to research discipline and beyond. 4 I first argue the merits of a strategy orientation on the Information Systems discipline (the discipline level) and introduce “IS discipline (ISd) strategy” as a new theme of Strategic Information Systems (SIS) research. My focus is more specifically on ISd research strategy. An important mechanism of ISd research strategy is research programs (the program level). There are strong motivations for research to become more programmatic. Programmatic research (defined in Section ‘(E) ISd-Research Strategic Programs’) is necessarily strategic, entailing larger and longer-term investment and risk, and concomitantly, increased oversight and direction. For scope reasons, I do not focus on the potential value from individuals being strategic in their research activity (the individual level), an important topic warranting separate attention. It is hoped the discussion herein will engender a longer-term and more strategic view of IS research activity, perhaps promoting coalitions, engagement and impact.

The viewpoint proceeds as follows. I next present background to the challenges currently faced by disciplines and briefly explore their contemporary strategic context. I then introduce the notion of Information Systems discipline (ISd) research strategy, identifying five valuable levers or strategy mechanisms: A) strategy theory and its intersection with the nature of the discipline; B) strategic governance; C) strategic methods; D) strategic foci; and E) strategic programs. Having argued the value of adopting a strategy lens on ISd-research, in part four I consider possible paper submissions to JSIS and elsewhere that address any of the five ISd research strategy mechanisms, with an emphasis on strategic programs. The viewpoint concludes with discussion on contributions, limitations and future directions.

Like all disciplines, ISd faces many challenges. Changes in the Higher Education sector worldwide “ have meant a growth in the strength and number of forces acting on academic cultures ” ( Becher & Trowler, 2001, p. xiii ). In recent decades, the way in which knowledge is produced has been changing ( Gibbons et al., 1994 ) and these changes are impacting ISd. Gibbons et al. describe two modes of knowledge production: “ By contrast with traditional knowledge, which we will call Mode 1, generated within a disciplinary, primarily cognitive, context, Mode 2 knowledge is created in broader, transdisciplinary social and economic contexts .” (p.2) Manathunga and Brew (2012, p. 45) contrast Mode 1 as “ a situation where knowledge was principally defined within universities by academics within well-defined disciplinary domains ” with Mode 2 in which “ governments intervene in dictating research agendas through, for example, their funding and evaluation mechanisms requiring researchers to focus on short-term clearly defined project outcomes that have economic benefits ”, “ there is critical questioning by an informed public of the practical and ethical implications of particular discoveries and programmes ” [i] , and there are “ new triple helix linkages between universities, the state and industry ”.

In parts of the world, the shift towards Mode 2 knowledge production has been long-standing ( Trowler, 2012 ). Funding agencies such as governments are playing an important role in this shift, using drivers such as performance-based research funding systems (e.g. ERA in Australia and REF in the UK), funding models that encourage researchers to partner with industry and to achieve commercial outcomes (e.g., co-operative research centres and centres of excellence) and that emphasise research aimed at defined regional and national objectives ( Turpin & Garrett-Jones, 2000 ). While this shift has been less pronounced and less orchestrated in the U.S. and places where universities are comparatively more autonomous and less reliant on government funding ( Lepori et al., 2019 ), it is happening, and has the potential to mushroom as the world transitions to a new state post-COVID-19 5 .

The Information Systems discipline has from its inception needed to adapt rapidly to changing technologies and environments. Merali et al. (2012) consider that the discipline’s “ adaptive characteristics” and “the coexistence of stability (and relatively smooth evolution) at the meta-level with diversity and churn at lower levels suggest the kind of ambidexterity” that will allow “the co-existence of both ‘Mode 1’ research emphasising the creation of a rigorous body of knowledge and establishment of identity of the field and its researchers in academia, and ‘Mode 2’ research having a trans-disciplinary character, working across boundaries with heterogeneous stakeholders and real world problems” (p. 131).

Accelerating social and technological change ( Krishnan, 2009 ) and the de-professionalization of academia have also been impacting disciplines. De-professionalization is evidenced by the number of academics in non-tenured positions ( Mazurek, 2012 ) 6 ; by the “ the multiplicity of managerial responsibilities” being added to the workload of academics ( i.e. additional “ responsibility without power”) ( Demailly & de la Broise, 2009 ); and by “ requirements to meet externally imposed performance criteria” and “ demands to demonstrate the relevance of their work in relation to new institutional mission statements ” ( Beck & Young, 2005, p. 184 ). In 2016 with colleagues, I wrote ( Gable et al., 2016, p. 693 ), “ The challenge today is from de-professionalization, a challenge facing all academic disciplines to varying degrees. We sense a growing tension between the disciplines and institutions that seek increased allegiance from individuals in the face of increasingly demanding organizational KPIs and new directions. That strong institutional pull demands that disciplines better communicate their value proposition and reconsider opportunities for reinforcing and strengthening the values, beliefs, and codes that have underpinned IS research. This is a complex, recent, and potent development demanding further research scrutiny .” [ii]

Articles discussing the state of the Information Systems discipline are many and varied and opinions often conflict. One key debate has centered on what forms the core and scope of IS. This debate generated a series of eleven articles published in the Communications of the Association for Information Systems (CAIS) in 2003 (e.g. Alter, 2003 , Myers, 2003 ) and continues today (e.g. Petter et al., 2018 ). Another debate concerns the nature of the IS discipline; this debate is exemplified by the eight articles in CAIS in 2018 that debated whether information systems is a science (e.g. Dennis et al., 2018 , McBride, 2018 ). These are important debates, as the degree of convergence of a discipline can have political implications. “ Convergent communities are favourably placed to advance their collective interests since they know what their collective interests are, and enjoy a clear sense of unity in promoting them ” ( Becher 1989, p.160 ).

The IS discipline too is varied worldwide. From our 2006 multi-country case study of the state of the IS discipline in Pacific-Asia ( Gable, 2007 ) we observed many differences; for example, there were stark differences in levels of engagement with practice across countries surveyed. That study's theoretical framework ( Ridley, 2006 ) was partly guided by Whitley’s Theory of Scientific Change (1984a) . Scientific fields are seen as “ reputational systems of work organization and control ” ( Whitley, 1984b, p.776 ) and Whitley proposes that there is an inverse relationship between the impact of local contingencies and a discipline’s degree of professionalism and maturity. With reference to Taiwan and Singapore I wrote “ These two cases alone – where local contingencies have much influence on IS in universities, yet where IS in the universities is strong and of high status - suggest a need to revisit the theory, and cast doubt on the theoretical proposition that a mature discipline should be uniform internationally, and relatively uninfluenced by local contingencies ” ( Gable, 2007, p. 17 ).

Many disciplines have questioned whether they will continue existing, for example Sociology ( McLaughlin, 2005 ), Accounting ( Fogarty and Markarian, 2007 ), and Strategic Management ( Jarzabkowski and Whittington, 2008 ). Less apocalyptic prognosticators have over the years suggested various ways of responding and strengthening their discipline (e.g. Keith, 2000 , Kitchin and Sidaway, 2006 , Somero, 2000 , van Gigch, 1989 ). IS researchers have made several recommendations. Thatcher et al. (2018, p. 191) propose three: “ (1) adopt an entrepreneurial model of scholarship, (2) engage with practice, and (3) double down on the intertwining of the social context and IT” . Hirschheim and Klein (2012, p. 193) suggest there is a need for “ continuous effort to define and redefine IS to reflect the evolving boundaries of the field ”. Other prominent researchers have suggested there is value in re-examining current methods and understandings, for example Gregor (2018, p. 114) suggests “ there should be ongoing questioning of our epistemological foundations” . Nunamaker et al. (2017, p. 335) believe that how we conduct research can make a difference and that “ IS researchers can produce higher-impact contributions by developing long-term research programs around major real-world issues, as opposed to ad hoc projects addressing a small piece of a large problem ” [iii] . Perhaps the challenges disciplines have been facing will pale in comparison to new challenges that emerge post-COVID-19, or perhaps COVID-19 will in the main, exacerbate existing forces. 7

In summary, ISd is amidst major change due to accelerating social and technological change, de-professionalization, the inexorable shift towards Mode 2 knowledge production, and COVID-19. A variety of responses has been proposed, all of which imply value from a longer-term strategic orientation and closer proximity to practice.

Information Systems Discipline (ISd) Research Strategy

Through an archival analysis of 316 Journal of Strategic Information Systems (JSIS) research papers, from the journal’s inception through to the end 2009 ( Gable, 2010 ), I discerned a high-level three category classification of Strategic IS (SIS) research: (i) IS for strategic decision making, (ii) Strategic use of IS, and (iii) Strategies for IS issues. As implied in the preceding section, disciplines are facing challenges and discipline-level strategizing is warranted. Herein I propose a fourth category of SIS research; namely, (iv) IS Discipline Strategy. Fig. 1 depicts the relationship between these four nodes or research themes and SIS (wherein SIS is represented as one of several top-level domains of IS research). It is notable that the primary referent or focal phenomenon in (i) and (ii) is the “information system”. In (iii), the primary referent is “IS management” or the “IS function” (whether a formal or informal function; whether central or diffuse). With the addition of (iv) the fourth theme of SIS, I introduce a further primary referent, this time the “IS discipline” (ISd). Of course ISd, like other entities, may also benefit from IS for strategic decision making, strategic use of IS (e.g. the Association for Information Systems (AIS) web presence) and strategies for IS issues (e.g. information management of the AIS eLibrary), thus research in the original three categories may have direct or analogous relevance for ISd as well.

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A Strategic Information Systems (SIS) Research Taxonomy (adapted from Gable, 2010 ).

While proactive IS discipline strategizing [iv] may initially seem insular or self-serving and perhaps counter to the general conception of academe as open, collegial and cooperative, I nonetheless believe that many disciplines as traditionally constituted are under some threat and there is value in being proactive rather than passive in responding. All disciplines will benefit from pertinent reflection and positioning (many envisaged findings regarding ISd would have direct, parallel relevance and value in other disciplines).

It is important to note that representing ISd Strategy in Fig. 1 as a fourth theme exaggerates its pertinence in SIS research. This amplification of prominence serves the purposes of this article, the main of which is to promote attention to strategy in IS research. Many alternative classifications of SIS research are possible, and while the suggested four categories of SIS research are not entirely mutually exclusive, nor strictly at the same level of abstraction, they are useful (perhaps a taxonomy rather than a classification).

With reference to Fig. 1 , it is useful to attempt a single overarching research question that captures much of the research represented by each node of such a hierarchy; questions at higher levels being inherently broad, becoming more specific at lower levels (each node can be expanded into a set of underpinning sub-nodes and research questions; such a detailed research agenda was outside scope). The question being asked at the new fourth SIS node is “What is the ISd Vision and how should ISd strategize?” (Recognising that the vision today will likely be much different from 10 or even five years ago). Referring back to the original three categories (themes in Fig. 1 ) identified in ( Gable, 2010 ), in retrospect I suggest the following questions: (i) IS for Strategic Decision Making – How can IS support strategic decision making? (ii) Strategic Use of IS - How can IS be used strategically? (iii) Strategies for IS Issues - What strategies support the IS management/function? (While it is difficult to divine a sufficiently broad yet adequately focused question at the highest SIS node, I suggest “How can IS be strategic? (where IS = Information Systems, IS function, IS discipline).

While much of the discussion herein has relevance to ISd broadly, the focus of this article is on ISd-Research strategy, which is differentiated in Fig. 2 as a sub-theme of ISd strategy (other possible sub-themes might be, for example, Teaching & Learning and Professional Service – in Australia many universities evaluate academic performance in these three areas). Following I argue the relevance of five mechanisms of ISd-Research Strategy: (A) ISd-Research Strategy Theory, (B) ISd-Research Strategic Governance, (C) ISd-Research Strategic Methods, (D) ISd-Research Strategic Foci, and (E) ISd-Research Strategic Programs. The dictionary definition of mechanism serves our purposes here; “ An Instrument or process, physical or mental, by which something is done or comes into being ” ( The Free Dictionary by Farlex ). A definition more specific to this article might be “a means of being strategic”. Thus, ISd research is strategically facilitated through these mechanisms. The five mechanisms in Fig. 2 can usefully be considered as pertaining to ISd-Research Strategy practices: (A) how we define ourselves (as a discipline), (B) how we govern (as a discipline), (C) what we do (as a discipline), (D) how we do it (as a discipline), and (E) how we organise (as a discipline). I next discuss each of these five mechanisms (A) through (E) in turn, thereby also further explicating Fig. 2 .

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Information Systems Discipline (ISd) Research Strategy: a Research Taxonomy.

(A) ISd-Research Strategy Theory

There is merit in exploring relevant research strategy theory for ISd. The IS discipline can influence perceptions, conceptions and directions of IS research through theorising IS research strategy. While parallels may exist between disciplines and other entities that have been the focus of past strategy research (e.g., commercial enterprises), disciplines, and ISd more specifically, have distinctions of strategic consequence. There is thus value in critically revisiting extant strategy theory with a view to its relevance in this context. 8

In a seminal work on strategy, Mintzberg (1987) presented and discussed several interrelated definitions of strategy: a plan (a consciously intended course of action), a pattern (consistency in behaviour, whether or not intended), a position (locating the organization in the environment), and a perspective (individuals linked by common thinking and behaviour). Mintzberg particularly emphasised the significance of collective perception and action in any strategy, stating “ strategy is not just a notion of how to deal with an enemy or a set of competitors or a market … It also draws us into some of the most fundamental issues about organizations as instruments for collective perception and action ”. Thus, the process of ISd-research strategizing offers value irrespective of the outputs.

The literature on strategy as practice might also aid our understanding. Peppard et al. (2014, p.1) suggest “ In addressing strategy as practice, the focus of research is on strategy praxis, strategy practitioners and strategy practices […] – the work, workers and tools of strategy in other words .” Strategy as practice takes the view that “ we must focus on the actual practices that constitute strategy and strategizing while at the same time reflecting on our own positions, perspectives and practices as researchers ” ( Golsorkhi et al., 2010, p. 2 ). How does the discipline strategize both consciously and unconsciously (e.g. by our patterns of behaviour)? In essence, the five mechanisms of ISd-Research strategy in Fig. 2 represent research practices of the ISd.

The strategy as action approach has been discussed in relation to research on information systems strategy (e.g. Whittington, 2014 ) but has yet to be applied to ISd-research strategy. A novel paper that broaches ISd-research strategy theory is by Merali et al. (2012) which conceptualises the IS research domain as a complex adaptive system. The authors suggest that the field of IS research is relatively diversified and dynamic, with new topics rapidly emerging, thus the landscape of IS research is constantly changing with scholars frequently shifting attention to investigate new IS and IS phenomena. They ultimately argue that the IS domain has sufficient adaptive capacity to evolve in the emerging competitive landscape, responding to the turbulence, uncertainty and dynamism of IS research (a complex adaptive system).

Banville and Landry (1989) had an alternative view of IS research. They characterised MIS [v] as a fragmented adhocracy (which suggested a lack of strategic direction). A few years later, Hirschheim and Klein lamented “ That our current status remains a ‘fragmented adhocracy’ suggests the field may indeed be in crisis or headed for a crisis ” stating that the disconnects within the IS research community arise “ from the lack of communication among the numerous research sub-communities ” (p.254). Hirscheim and Klein recommended addressing the communication deficit through the development of a body of knowledge in information systems. Taylor et al. (2010) were more optimistic: they believed they demonstrated that “ over the 20-year period from 1986 to 2005, the discipline has shifted from fragmented adhocracy to a polycentric state, which is particularly appropriate to an applied discipline such as IS that must address the dual demands of focus and diversity in a rapidly changing technological context ” (p. 647). These dual demands have also been recognised by other IS scholars. For example, Tarafdar and Davison (2018, p. 543) envision IS as “ a flexibly stable discipline that has both (1) a consolidated deep structure (through the Single and Home Disciplinary contributions); and (2) a periphery of flux (through the Cross Disciplinary and Interdisciplinary contributions )”.

What other theory might be relevant to ISd research strategy? In light of the Hirschheim and Klein (2003) call for the development of a body of knowledge in information systems, an example might be analogizing “research knowledge assets” with knowledge assets broadly, and drawing on knowledge management theory. James (2005) usefully bridges knowledge management and strategic management in ways that lend readily to the notion of research knowledge assets. He found that “ existing knowledge assets form the basis of strategies” (p.165). Theories and strategies from other analogous spheres could be adapted and applied to IS research practice. An example might be analogizing research practices with consulting practices and borrowing from Maister (1993) to develop what I call a Research Practices Lifecycle View, which I elaborate further in later discussion on “ISd-Research Strategic Programs”.

(B) ISd-Research Strategic Governance

For our purposes, strategic governance mechanisms are simply defined as mechanisms of alignment of research practice with ISd-Research Strategy . The IS discipline has ability to influence research strategy through introducing and adjusting various governance levers [vi] . High-level examples in Fig. 2 include the Association for Information Systems ( https://aisnet.org ), doctoral consortia, and conferences. The AIS is a primary ISd-Research Strategic Governance Mechanism for many. Reverse-engineering the AIS website would yield, for example, the AIS Faculty Directory (valuable in expanding and tracking membership), the eLibrary (establishing what is in, and what is not), AISWorld Listserv (communicating core ideas), Awards & Recognitions (signalling what is valued), AIS journal viewpoints and review/fit policy e.g. JAIS/CAIS, and so on [vii] . At a more local level, using Australia as an example (being Australian, I use several Australian examples), strategic governance mechanisms include: the AAIS (the Australasian regional branch of the AIS), Australasian Conference on Information Systems (ACIS), Australian Council of Professors and Heads of Information Systems (ACPHIS), IS Heads of Discipline listserve (ISHoDs) and various initiatives of AAIS and ACPHIS. Example initiatives of AAIS and ACPHIS include their lobbying for IS representation on Australian Research Council (ARC) panels, their Journal and Conference rankings [viii] and awards (e.g. ACPHIS Best Australian IS PhD Medal), and representation in the Australian Computer Society, etc.

“Research on strategy broadly suggests that professional organizations use signalling mechanisms such as awards to direct attention to high-level priorities” ( Ghobadi & Robey, 2017, p. 360 ). Best publication awards signal the core values and priorities of the field. 9 The characteristics of papers/theses that receive awards form patterns that influence what is researched and how [ix] . For example, Ghobadi and Robey found that “ most of the award winning IS articles rate high on theory building” and suggested that this is to position IS as a “ distinct discipline” rather than one that mostly borrows theory . The discipline needs to be aware of the patterns of research that awards are solidifying and take note of evolving trends that may necessitate the development of newer more advantageous patterns [x] . Strategic action in this regard is important “ to support the continuous development of the field ” ( Ghobadi and Robey, 2017 ).

As a further example, my co-authors and I ( Gable et al., 2016 ) explored the strategic importance of doctoral consortia as an ISd-Research strategic governance mechanism. We differentiated four levels of consortia: (i) International (ICIS), (ii) Regional (e.g. PACIS), (iii) National (e.g. ACIS) and (iv) Local (e.g. the School of Information Systems Doctoral Consortium at Queensland University of Technology) and considered their relative roles and influence. We argue that “ Consortia are strategic: a centrally important mechanism for sustainment, rejuvenation and defence of the discipline” (p. 691) . Closing the article, we further wrote “ we return to the advent of the 1st ICIS Doctoral Consortium in 1980, seen against a background at that time of questioning the status of Information Systems as a legitimate academic discipline. In some sense, the adversary then was other disciplines, and their perceived higher standards of professionalism. Today there is a different adversary, and again we see the Consortium as a possible vehicle of discipline reinforcement.”

Thus, the strategic influence of existing and potential governance mechanisms is readily apparent. That said, more transformational governance is possible ( Rosemann, 2017 ).

(C) ISd-Research Strategic Methods

The IS discipline has the ability to influence the kinds of questions being asked and research being pursued through the development, promotion and endorsement of contemporary research methods. Grover and Lyytinen (2015) argue the need to “ critically examine and debate the negative impacts of the field's dominant epistemic scripts and relax them by permitting IS scholarship that more fluidly accommodates alternative forms of knowledge production .” Given the IS research phenomenon of interest (the nexus of people and technology) and our proximity to rapidly changing technology, and the dynamism and generativity of these developments, we need as a discipline to explore new and improved ways of researching ( Rai, 2018 ). Moreover, though the outputs and outcomes of strategic methods may offer potential for research broadly, they offer particular advantage to the IS discipline. This is one of several places in the viewpoint where I advocate that ISd “practice what it preaches” by deploying within ISd, research methods developed by ISd, 10 the implicit question being “What new research methods does ISd require in order to remain relevant?” Put differently, the question might be, “What new research methods would be to the advantage of ISd research?”

As an example Galliers (2011, p. 300) suggests that, what previously might have been considered opposing research traditions, “ might unite to provide a more holistic, and ultimately more edifying, research agenda: one that is inclusive of various research approaches, and thereby better able to provide fresh, and more plausible insights into the complex phenomena we study ”. Tarafdar and Davison (2018) warn of the risk of asking narrow research questions in an attempt to reduce their complexity. They observe a “ lack of multiple IS subdisciplines in a single paper [suggesting] that IS phenomena are perhaps not being investigated in their full richness and complexity, reinforcing the concern about narrowly conceptualized research questions” (p.539). More nuanced, creative and relevant questions may demand new methods.

IS is particularly well placed to progress new and strategic research methods by leveraging what we already know, have and do [xi] . I first argue there is merit in exploring the potential from employing various IS representation techniques in the redescription (or reverse engineering) of existing research methods (e.g. Zhang and Gable, 2017 , Leist and Rosemann, 2011 ). In addition to facilitating improved understanding and combining of well-trod methods, such “redescribing the old” is expected to better-inform design of new research methods, particularly those needed by IS given the dynamism of our focal research phenomena. I further subscribe to the views of March and Smith, 1995 , Venable and Baskerville, 2012 who advocate the merits of a design science research (DSR) approach to the design of new research methods: research methods here conceived as designed artifacts, and DSR originating out of IS. Thus, we see that IS is both well placed to contribute to the design of improved and new research methods and to benefit as a discipline from the adoption of such improved and new methods. 11

ISd has not been idle with innovating new methods, in example the extensive methodological thought around Design Science Research (e.g. Vaishnavi et al., 2019 ). As further example, with net-nography (an online research method originating from ethnography employed to study social interaction in digital communication), we observe a phenomenon through the very technologies that we study (thanks to a panellist here). Grover et al. (2020) discuss the dramatic shift occurring to big data research (stating 16% of papers in top IS outlets employed this approach in 2018). They offer several conjectures that suggest possible unanticipated consequences of these approaches: the implication being these approaches have not been researched adequately. Thus, while I do not advocate epistemological anarchy ( Treiblmaier et al., 2018 ), I believe much more is possible. Furthermore, the focus of the information systems discipline on new phenomena, in combination with our position straddling the sciences of the real and artificial, arguably places us in a position of strategic advantage with regard to epistemology. Put simply, if we investigate new phenomena first, then we are well placed for providing leadership in how to investigate it.

(D) ISd-Research Strategic Foci

I here suggest that an important mechanism of ISd-Research Strategy is “ISd-Research Strategic Foci”, the overarching question being “What new research foci are strategic for ISd?” The IS discipline has ability to influence the direction of research in IS through identifying, recognising and promoting promising research foci.

It is apparent that the notions of ISd-Research Strategy and ISd-Research Strategic Foci imply centrally coordinated strategizing and decision-making. While this does occur, I think increasingly (e.g. by AIS in relation to the international discipline; by ACPHIS in relation to the Australian IS discipline; by universities, faculties and schools in relation to the local IS presence), it is acknowledged that historically, developments have been more distributed and organic. Thanks to a panellist who suggested “ The history of the discipline suggests that the strategic foci (at a disciplinary level) are plastic, emergent, and to a considerable extent, responsive to changes in technology and its role and uses. Studies examining the “core of the discipline” have frequently been bottom up” and have identified changes over time. Arguably, this has affected the ability of IS researchers at various levels to articulate the strategic foci of their work and how it aligns with broader institutional or national research strategy .” Such developments have been driven by individual preferences, capabilities, efforts and circumstances, and only indirectly shaped by various governance mechanisms (e.g. doctoral consortia and conference panels, editor and reviewer feedback and other institutional and discipline-cultural influences).

Though the shift to performance-based funding systems which emphasise impact and economic benefits is anticipated to amplify efforts to centrally coordinate research activity (e.g. in Programs – to be discussed), individual-driven and small-team research within broad areas of promise is expected to continue forming the core of the research ecosystem. Such broad areas of promise, or foci, may evolve organically, inductively, from the bottom-up. Blue-sky research is acknowledged to form “ a vital part of scientific discovery ” ( Linden, 2008, p. 10 ). Alternatively, such foci might be promoted top-down, by the AIS or other authorities (international, regional or local) - promoted, but not coordinated. Many recognise that such highly distributed inductively selected research activity is foundational to science. Wu et al. (2019) analysed 65 million papers, patents and software products, spanning 1954–2014, concluding that smaller teams have tended to disrupt science and technology with new ideas and opportunities, ultimately concluding, “ both small and large teams are essential to a flourishing ecology of science and technology ”.

While, I believe that in IS individual-driven and small-team research in IS has predominated and should continue to be strongly encouraged and supported, I later argue that to achieve a flourishing ecology, we also need to promote larger, more programmatic research initiatives [xii, xiii] . I recognise that a dichotomy of small and large initiatives is coarse and accept there is value in considering more of a continuum. As suggested by one senior scholar, “ sometimes people proactively/serendipitously reach out, pool resources if working on the same topic and cumulatively build the research projects. This can be an organic and agile way of doing things rather than the traditional funding way. A combination of programmatic and individual if you will – perhaps a ‘third’ way that could capture the best of both worlds? ”

A journal too can be strategic (in fact all are at some level) and a vehicle for promoting strategic foci, and JSIS is a prime example. In the first issue of JSIS Bob Galliers reported “ In business schools around the world it is often the case that IT, IT strategy and information management are considered at best as optional topics unworthy of being included in the core programme” and “ discussion of information and IT issues is not integrated into other business topics ” ( Galliers, 1991, p. 3 ). Galliers' championing of JSIS in the late 1980s was a strategic move to address this concern and to claim related research for the IS discipline, by promoting an outlet with this focus.

In closing this section, I argue there is value in promoting strategic research foci [xiv] , as distinct from strategic research programs (to be discussed). I believe there is merit in promoting, for example, Digital Innovation as a research focus of individual researchers and small teams (important research questions demanding attention being a key motivation for a focus), while possibly in parallel orchestrating larger more programmatic oversight (e.g. a Digital Innovation research program). Further, not all research foci lend themselves to a programmatic approach or warrant the size of a program.

(E) ISd-Research Strategic Programs

I suggest that an important mechanism of ISd-Research Strategy is strategic ISd Research Programs, or “ISd-Research Strategic Programs”, the overarching question being “What research programs are strategic for ISd?” [xv, xvi] . As mentioned above, differentiating strategic programs from strategic foci highlights the possibly more proactive role of the AIS or other coalitions within the IS discipline in strategically coordinating targeted research. For my purposes herein, research programs are simply “organisations for conducting programmatic research.” I intentionally define programs broadly and loosely to encompass both less, and more formal organisations or orchestrations of research.

The notion of programmatic research is not well established. In Communication, Benoit and Holbert (2008, p. 615) suggest programmatic research “ systematically investigates an aspect of communication with a series of related studies conducted across contexts or with multiple methods .” In Education, Berninger (2009, p. 69) suggests “ Programmatic research is designed to answer questions systematically, with the results of one study informing the research questions and design of the next study in a line of research that seeks comprehensive understanding of a phenomenon .” In Management Information Systems, Martin (1995, p. 28) defines programmatic research as “ a structured plan for conducting studies systematically across the entire span of a chosen field of enquiry .” While all of these definitions overlap and complement, none explicitly addresses the extension of research strategy through to implementation in practice, with feedback, a notion we endorse and depict in Fig. 3 .

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Relevance Realisation Lifecycle Model [adapted from Moeini et al, 2019 ].

For the purposes of this paper I define programmatic research as the systematic and holistic investigation of strategically significant phenomenon through multiple coordinated and interrelated projects by a team of researchers, with the joint aims of knowledge contribution and positive impact on the world. An assumption is that programmatic research is in accord with strategy; there can never be reason to initiate research on the scale of a program that is not in accord with strategy. And though a basic-research program is conceivable, herein there is the assumed joint intention of positive impact as well as knowledge contribution. The program itself may extend to impact and outcomes or it may be extensible to impact, and what is meant by holistic must be locally defined. 12

Programmatic research demands closer interaction and cooperation amongst the program members. They rely more closely on each other’s ideas and outputs, the related ownership of which is more complex and nuanced. A program’s scale facilitates specialisation of function, which introduces complexity around the allocation of roles and rewards. The relative longevity of programs suggests the possible need to conceive of intermediate outputs and outcomes of value to the program, where the value to individuals isn’t clear and needs to be managed or orchestrated. Terms often used to differentiate programs (from projects) are larger, longer, more complex, less well defined, with more stakeholders, evolutionary, holding a systems view, exhibiting a plurality of goals, and being more strategic. More specific to research, other terms include multidisciplinary, trans -disciplinary, lifecycle-wide, and multi-paradigmatic (of course these terms do not pertain strictly to either projects or programs).

The Project Management Institute (2008, p. 9) defines a program as “ a group of related projects managed in a coordinated way to obtain benefits and control not available from managing them individually. Programs may include elements of related work outside the scope of the discrete projects in the program. A project may or may not be part of a program but a program will always have projects. ” Thus, there may be outputs/outcomes that pertain to the program but not directly to any of its component projects. This has profound implications for the planning, identification and recognition of value that derives from the research program. Clarke and Davison (2020) argue that what they call “multi-perspective research”, while feasible within individual research projects, may be more readily achieved through research programmes.

A conceptual framework I've found valuable for interrelating and accommodating diversity in programmatic research is what I refer to as a “research practices lifecycle view”. I analogize research practices with consulting practices and borrow from Maister (1993) who differentiates three types of consulting practices: the “big brains” practice which employs considerable raw brain power to solve frontier (unique, bleeding edge, new) problems; the “grey hair” practice which has prior experience of similar situations; and procedural practices which use developed procedures and systems to handle specific problems efficiently. Choo (1995) describes these as background knowledge framework, practical know-how and rule-based procedures. I loosely refer to analogous research practices as Expertise, Experience and Efficiency respectively, and suggest that these are not discrete, but rather positions on a continuum; and that practices tend to start from strong emphasis on Expertise (e.g. novel, basic research), and with the passage of time and through experience gained, move along the continuum towards Efficiency (e.g. incremental replication studies) and relatively more applied research. In a large research group, or through collaboration, such practices can co-exist and complement, with more basic research findings generating more applied, possibly practice-based testing and extension studies (perhaps extending to commercialisation). Each practice area benefits from quite different capabilities and team member motivations, thus accommodating diversity. The Research Practices Lifecycle View framework further demonstrates the value to be gained from a broader and longer-term view of research; it represents a higher level of abstraction in research design/strategy, that spans and interrelates multiple, otherwise disjoint zero-base initiatives.

Ultimately, I chose to amplify the value of programs as distinct strategic mechanisms. Such mechanisms may be higher-order and formal, for example, the AIS Bright ICT Initiative ( Lee, 2015 , Lee et al., 2018 , Lee et al., 2020 ); a key project of this initiative aimed to develop the framework for “ a new and safer Internet platform ” ( Lee, 2015, p. iii ). Programs can vary in size, scope and formality, from substantial and long-lived programs such as AVATAR (Automated Virtual Agent for Truth Assessments in Real-Time), an almost 20 year partnership of eight universities led by the University of Arizona in conjunction with more than ten Government departments ( Nunamaker et al., 2017 ), to more local research concentrations (e.g. the continuing trend in Australia towards concentrating people and resources locally – e.g. within a “Centre” – in areas of perceived strength, promise and advantage 13 ). Though I imply herein that such programs are at this stage often more implicit than explicit (and vary internationally in terms of their prevalence), it is felt that all such forms can be usefully considered under the umbrella of research programs [xvii] .

ISd-Research Strategy Publications

This viewpoint set out with two main aims: (i) to argue the importance of a strategic research orientation for the Information Systems Discipline (discipline level); and (ii) to facilitate such a strategic orientation by trumpeting the value of related research and promoting its publication. Having in Section ‘Information Systems Discipline (ISd) Research Strategy’ above addressed (i), in this section I further address (ii) aiming to partially clear-the-way 14 for manuscript submissions to JSIS and elsewhere, in attention to any node of the ISd-Research Strategy branch in Fig. 2 , but with particular emphasis on research programs (program level).

Thus, a key aim of this viewpoint is to facilitate manuscript submissions that align with any of the five mechanisms in Fig. 2 ; namely, ISd-Research Strategy … (A) theory, (B) governance, (C) methods, (D) foci, and (E) programs. Papers on (A) theory and (B) governance, though important, are anticipated to be rare, with papers on (C) strategic methods again anticipated to be occasional only. Papers arguing for a new strategic research focus (D) would entail a general call for the IS discipline to pursue research in relation to some new or emerging phenomenon of perceived consequence. The expectations of such papers and the standards for acceptance will be demanding. Such papers will tend to encompass a comprehensive review of the pertinent literature (akin to a review or curation), but rather than emphasising theory development, will include greater detail on the research agenda into the future; they should amplify discussion of potential impact and how the focus is strategic for IS [xviii] (in many ways this current paper is such an article, without the rigorous attention to the literature). Thus far in this section, having very briefly accounted for (A) through (D) of Fig. 2 , I now turn my more detailed attention to (E) Programs.

Papers arguing for a new strategic program would detail either a proposed or an in-progress program of research, evidencing to the extent possible the value of and potential from a programmatic approach. There would be strong emphasis on potential future research, as well as on how the proposed future research is strategic for the IS discipline. Note that articles explicating research Programs, much like foci articles, will often (not always) build on an established track record of work across and beyond the discipline, and perhaps parallel or subsume a curation (e.g. https://misq.org/research-curations/ ) or major structured literature review (e.g. see Rivard 2014 ), while bringing a more strategic lens to the analysis and interpretation, and having greater emphasis on strategic prescription. It is useful to differentiate explicitly the design of these larger programmatic initiatives as “research strategy” as compared to “research design” at a more individual project level. Employing this language, I consider the Tarafdar et al. (2018) suggestion for more longitudinal studies [xix] , to be a research strategy, more at the collective program level.

I am not so naïve as to assume I can here offer comprehensive guidance on what to attend to in the design and reporting of research programs [xx] . Rather I constrain my focus to engendering and promulgating the relevance of such research (here I largely equate relevance with impact which I more specifically define in the next section – ( Davison and Bjørn-Andersen, 2019 ) refer to 'societal impact'), for which purpose I draw on Moeini et al. (2019) . Their work suggests several valuable mechanisms of programmatic research including: (i) the value from adopting a multilevel view in research design (I herein usefully employ this view by differentiating between the individual/project level, the program level, and the discipline level), and (ii) the value of a longer, multi-phase view of research design from knowledge-potential-generation through to realised-impact (a more programmatic view). Though their focus is constrained to relevance, which is not the sole intent of programmatic research, the relevance intent demands a consequential and valuable longer-term, more strategic and holistic view [xxi, xxii] .

A Relevance-Centric Approach to Programmatic Research

Fig. 3 depicts the four phases of research relevance realisation differentiated by Moeini et al. (2019) (Potential > Perceived > Used > Realised). Key variations herein to that work are (i) the alternative conception of their four “dimensions” of relevance potential as “stages” of relevance-potential generation, 15 and (ii) the combining of those stages with their phases of relevance realisation in a process view including feedback loops. I believe this lifecycle view represents a more readily actionable and systematic approach to designing relevance into a larger, more strategic research program. Moreover, though the stages of relevance-Potential generation in Fig. 3 (the left-hand side) tend to be associated with research, and the latter three phases of relevance realisation (the right-hand side … Perceived, Used, Realised) tend to be associated with practice, the stages and phases can be tightly intertwined. For example, in action research or action design science research, or through other larger, longer-term more programmatic research that extends to the later phases of relevance realisation, there can be useful iteration back to earlier phases, thus the feedback loops.

My use of the term “impact” throughout this viewpoint has a different connotation from many. I am not referring to impact-factors and citations, but rather I am concerned with influence on practice and policy (societal value). However, unlike many definitions of “impact on practice and policy”, I am not solely focused on the impact of research outside of academia, as some impact frameworks are (e.g. https://re.ukri.org/research/ref-impact/ ); I also value research that impacts the practice of research. I note that the Strategic Methods node C in Fig. 2 is all about research that impacts research practice.

To more clearly position and bound their study, Moeini et al. (2019) (i) differentiate their focus on “potential practical relevance” from other conceptions of relevance, (ii) differentiate dimensions of relevance, (iii) differentiate stakeholders of relevance, and (iv) differentiate levels of analysis of relevance. These distinctions all have value in clarifying discussion on research relevance, each addressing a different question - What type (phase) of relevance realisation? Which dimension (or stage)? For whom (what goal)? And, at what level (e.g. individual project, Program, research area)? I now turn briefly to (iv) differentiating the levels of analysis of relevance.

As stated at the outset, it is my view there is value in a strategic orientation on research at every level, from individual to program to discipline and beyond. Such a multilevel view of research also recognises that the value from research can be at different levels: individual project, program, domain/field (research area); or emergent. As Moeini et al. indicate, “ while each individual article does not necessarily need to have a high potential for practical relevance … a research area needs to provide a degree of potential practical relevance”. 16 The value of some research may be more local e.g. relevant to the program but not to practice broadly. If such an intermediate output is intended, then perhaps there is a greater need to explicitly position the pertinent sub-study within the larger program. To the extent that individuals have some sense of how their individual projects are part of a larger, multilevel undertaking, they will be better placed to understand and explain the merits of their work to peers, research groups, examiners, reviewers, editors, funding bodies and so on. I believe this multilevel view of research strategy worthy of further attention.

In summary, in this section I advocate for more relevant IS research; an underutilized strategic option. I strongly endorse focusing a relevance-lens on programmatic research, my discussion further amplifying the value of the Moeini et al. (2019) phases of relevance-realisation. I believe such a lens, and approach ( Fig. 3 ) is valuable in the design and reporting of research programs. I encourage researchers to consider this view in crafting future-oriented research programs strategic for the Information Systems Discipline.

Rigour in programmatic research strategy

In the preceding section, I suggested the beginnings of a relevance-centric approach to programmatic research strategy and reporting, my aim being to partially clear-the-way for larger, more relevant, impactful and strategic research and publications. I am not alone in calling for such work. Yet the elephant-in-the-room whenever such calls are made is the unbending expectation of rigour ( i.e. the appropriate and adequate application of methods).

With regards rigour, I differentiate three possible units of analysis: the project, the program (design and execution), and reporting on the program (description and evaluation). My emphasis in this section is on rigour of reporting. I earlier differentiated projects and programs, suggesting that research project design/execution rigour has received much valuable attention, and that further such attention can be strategic for the discipline (and thus would align with node C in Fig. 2 ). In the preceding section I cautiously offered sample guidance on a relevance-centric approach to research program design (or strategy), acknowledging that research programs are large, complex and highly varied.

The question thus becomes how does one rigorously report on, or describe, and perhaps evaluate, a research program? [xxiii] Pawson (2013) recommends that such description and evaluation should be motivated by rigorous attention to the existing knowledge base and possibly by the development of a conceptual framework or platform. This part of a proposed program report, would parallel in many ways a review article, some such articles going further than others, to advocate for a research agenda. 17 To the extent that such a research agenda is new, such a review article comes very close to a research foci article, as described earlier (mechanism D in Fig. 2 ); such a research foci article promoting widespread, organic, individual projects that attend to argued areas of research need and value that are strategic for the discipline. A paper reporting on a program however, must go further, to address the coalition of resources and stakeholders, the range of constituent projects and their logic (the program “meta-logic”), and the strategic value and importance of the coalition for all stakeholders (the coalition, the discipline, the world). Moreover, while individual projects should, to the extent possible in their design and reporting, attend to outcomes, the opportunity to elaborate such potential is greater and thus essential with research program reports.

Given that Research Programs tend to be large, complex and unique, any guidance here on their description, can be high-level and exemplary only. It is possible that a design science research approach may be appropriate (e.g. treating the Program as a designed artefact), or Action Design Research or Action Research 18 (e.g. evaluating Program implementation with theoretical implications). Perhaps appropriate too are evaluation research approaches, which are varied and employed widely in the evaluation of both practice- and research-based programs. While the term “Evaluation Research” implies ex post evaluation, which is perhaps characteristic of much if not most such work, anticipation of such evaluation can usefully inform ex ante program strategy and description.

In closing this section, I acknowledge merit in documenting programs at various stages, with some provisos. While I appreciate the value of documenting each stage of a program of research (proposed, in-progress, and completed) including its planning, implementation and operation, and with attention being given to predicted, intermediate or final outputs and outcomes, I anticipate that being compelling in such writing will be easier where a program has at least commenced and there is some empirical evidence of its progress. Where the program is planned, but yet to commence, its publication might be considered a form of research-in-progress. Where the program is in progress or completed, some form of program evaluation may be appropriate.

This viewpoint argues the merit of focusing a strategy lens on the Information Systems Discipline. I introduced IS Discipline (ISd) strategy as a new theme of Strategic IS (SIS) research, subsequently focusing more specifically on ISd research strategy. I have advocated the value of a strategic orientation at every level, from individual, to Program, to Discipline and beyond. Research programs in particular, can be a valuable mechanism of research strategy. Though I acknowledge variation across regions and countries (and no doubt within countries), there are strong motivations for research to become more programmatic. Programmatic research is necessarily strategic, entailing larger and longer-term investment and risk, and concomitantly, increased oversight and direction.

Careful consideration was given to the fit of this Viewpoint with JSIS. Details of that thinking are included as Appendix A (I encourage all authors of submissions to JSIS to undergo similar reflection). Ultimately though, all rationales are peripheral to the central aim of the article, which is the amplification of strategic thinking in IS research – the further leveraging of an orientation natural to the JSIS community, with emphasis on research programs as a main strategic lever, and further considering how JSIS can be instrumental in this aim.

This article is a response to the ongoing call for increased attention to relevance and impact in research (e.g., Rai, 2017a , Tarafdar et al., 2018 ). Moeini et al. (2019, p. 210) include a table of suggested “ opportunities for improving potential practical relevance” , with recommendations for authors, reviewers and journals. Table 1 lists the six recommendations that apply to journals [xxiv] . The promotion herein of research pertaining to any of the mechanisms of ISd-Research Strategy in Fig. 2 , and of programmatic research broadly, addresses much in Table 1 , perhaps with some emphasis on opportunities (1)–(4) in that table. One Senior Editor of JSIS has been explicitly advocating for (5), more linked publications. More engagement on social media (6) has admittedly only just appeared on our radar. I am with this viewpoint attuning JSIS editors, reviewers and Board members to all of these priorities.

Suggestions to Journals for Improving Potential Relevance (based on Moeini et al., 2019, p. 210 ) [xxvi, xxvii] .

In some sense this viewpoint is also a response to the Tarafdar and Davison (2018, p. 537) call for increased intra- and inter-disciplinary research in IS and to the Galliers (2003) call for trans-disciplinary/inter-disciplinary research. 19 Tarafdar and Davison suggest, amongst other things, that IS journal editors “ consider editorial policies such as sections especially devoted to the interdisciplinary contributions .” That recommendation overlaps several of the six suggestions in Table 1 [xxv] .

Tarafdar et al. (2018) , rather than focusing on kinds of research or publications, refer to kinds of researchers required to achieve impact and engagement. Specifically, they argue the need for “public intellectuals” in the Information Systems Discipline. They identify three challenges to the production of impactful research: (i) researchers don’t know how to do such work, (ii) journals lack strategies for disseminating such work, and (iii) academic leaders lack strategies and processes to encourage such work. I hope Section ‘ISd-Research Strategy Publications’ above offers some guidance on how to amplify relevance and impact in research. As regards the Tarafdar et al. (2018) second challenge, a key aim herein has been to influence traditional outlets to be more receptive to such work by both attuning them to the need and value, and exploring (if not explicating outright) criteria for the evaluation of such work. Gill and Bhattacherjee (2009) suggest journals might introduce portfolio targets. JSIS, like other journals, is keen to promote more impactful research broadly; I invite both research that is “designed for impact”, and research that while not designed for impact from the outset, offers compelling interpretation pointing to potential future impactful outputs and outcomes. I hope too that this article engenders more programmatic research as described herein, a response to the Tarafdar et al. (2018) third challenge.

I believe the article offers ideas for several potential readers. For discipline leaders, those who are integrally involved in the oversight and nurturing of the IS discipline, there is little new here; perhaps the discussion suggests a framework around which current thinking might coalesce. For research quality gate-keepers – editors, reviewers, examiners – there is a strong plea to accommodate work pertaining to any of the five mechanisms of Fig. 2 , again with particular emphasis on strategic research programs. At the same time, I am acutely aware, and have been reminded by more than one of the senior scholars, that this plea is not new, and that the obstacles are several and complex (see endnotes).

For program leaders and aspirants to research program-leadership, the article raises many more issues than it solves. That said, it offers some argument for the creation of new, and sustenance of existing research programs, and I hope points the way to important thinking needed to promote improved programmatic research. For many Deans and Heads of School, and for research administrators in universities and governments whose policies strongly influence the course and focus of research, the call herein for more impactful research and the endorsement of research programs as a vehicle, will I expect be welcome.

For individual junior researchers, I apologize for only peripheral consideration of implications. Let it suffice here to suggest that individuals should carefully consider their personal and their projects' fit within the landscape of foci and consider their possible role(s) in programs. It is never too soon to be thinking strategically about who you seek to be: what you aspire to as a researcher. This should be a question asked of every commencing PhD student. Such a strategic orientation on career is all the more important in these uncertain times. For individual seasoned researchers the single message is, consider how in the current and projected climate you align with the other levels. Of course, many seasoned researchers do these things naturally.

Limitations

The emphasis throughout the discussion herein has been on research strategy, without explicitly extending this discussion to teaching and learning strategy. One might question whether it is possible to separate ISd Research Strategy from other discipline strategy, as they are to some degree intertwined. While inattention herein to those linkages may be considered a limitation, I believe ISd research strategy is sufficiently conceptually distinct to warrant separate consideration. “ Academic legitimacy comes with the salience of the subjects studied, the strength of the results obtained, and the plasticity of the field in responding to new challenges” ( King and Lyytinen, 2006 ). That being said, much of what is discussed here has broad relevance to the full discipline. There is merit in future work extending the discourse herein and shining a light on IS teaching and learning, viewing them through a discipline strategy lens [xxviii, xxix, xxx] .

A limitation of the Relevance Realisation Lifecycle view ( Fig. 3 ) is its inattention to what should be the focus across the lifecycle. Yes, relevance, but what more specifically? Rai (2019) argues that the focus across the phases should be problem formulation (which leads to the research question), thereby increasing chances of successfully addressing the dual objectives of scholarly and broa1er impact; and avoiding type III errors (addressing problems that don't matter) ( Rai, 2017a ). He goes further ( Rai, 2017b ) to suggest ways of abstracting the immediate problem to an archetypal problem (so the immediate problem is not over-problematized) and illuminating the distinctive characteristics of the immediate problem to challenge the archetypal problem (so the archetypal problem is not under-problematized). This guidance complements well the ideas of Fig. 3 . In an 'engaged scholarship' approach, engagement with practice is through the processes of problem formulation (which leads to the research question), theory development, research design, and solution assessment. One can argue that by engaging with practice in each of these phases (and doing other things to avoid Type III errors), the dual objectives of scholarly impact and broader impact are more likely to be realized.

I must accept the article is somewhat discipline-centric, with inadequate consideration of the university perspective, universities being the main vehicle of IS discipline research. Academics are members of both a discipline and a university. 20 Disciplines establish and enforce standards of research quality and research value, and universities encourage and facilitate research that meets those standards and delivers value. Historically, the main value sought has been contribution to knowledge. A key gauge of a university researcher's worth is their aggregate contributions to knowledge that meet the discipline standards. A key gauge of a university's research worth is the aggregate of its researchers' contributions to knowledge. Disciplinary involvement promotes training and growth in research standards and methods of their achievement, as well as breadth and depth in the discipline knowledge domain (involvement in the discipline has many other benefits, such as networking with other researchers). Regardless of individual university reward systems, stature within the discipline is perhaps the academic's main credential for advancement. There is however a “new normal”. Universities and disciplines have worked in tandem for over a century and their alignment needs attention.

This article makes no claim to inventorying the extensive, excellent disciplinary strategic advice to date from within the IS discipline. Fig. 2 offers the beginnings of a framework for usefully interrelating that work. Comprehensive inventorying, and interrelating that knowledge base within a coherent framework, is useful further research. The Strategic Methods node would undoubtedly benefit from a comprehensive revisiting of the IS literature (and beyond) to inventory and harmonize to the extent possible, extant methodological thought.

Though this article does not probe the merits and costs of research program involvement for individuals (a theme in the suggested follow-on work), implicit in the arguments is a strong belief in the efficiency and effectiveness of programmatic research; I think the potential for “a larger pie” is there. What isn't obvious is “how that pie gets shared”, which opens up much complexity. I think a general limitation of this article is that it generates expectations of answers while ultimately, in the main, only raising questions. Contrary, I think, to the view of one senior scholar, the article ends up being more descriptive than prescriptive. Lastly, I acknowledge I should have paid greater heed to the Hirschheim (2008) guidelines for the critical reviewing of conceptual papers, but practical realities intervened.

Future directions

The aims of this viewpoint are to espouse the merits of focusing a strategy lens on ISd-research, to facilitate related research and to call for future research in this direction. I believe a multilevel view of research strategy has the potential to be highly revealing, and is worthy of close future research attention. Reflecting back on the mechanistic view in Fig. 2 , I lament how the figure is inexplicit regarding the levels of research implied throughout the article. The discipline-level is clear as a sub-theme (ISd-Research strategy). Programs are explicitly accounted for as a mechanism (ISd-Research programs). Individuals however are only indirectly represented through projects or foci (ISd-Research Foci), and there is no explicit indication of multi-/inter-/trans-disciplinarity beyond disciplines. Shifting to a more multilevel view, I arrived at Table 2 , which cross-references levels of research with the five strategy mechanisms from Fig. 2 .

A Research Level and Strategy Mechanism Cross-Reference.

(a) I here adopt the British spelling where I refer more specifically to programmes as a 'level' as opposed to a mechanism, these being somewhat conflated prior.

It became clear that one can usefully consider the five mechanisms at each level, from: (i) individual, to (ii) programme, to (iii) discipline, iv) to x-disciplinary research (multi-/trans-/inter-disiciplinarity); perhaps worthwhile extending further to a higher 5th level – the ecology or society of research (e.g. Kuhn, 2012 ). I note also that programs are both a mechanism and a level (where levels are in essence groupings of people as in multilevel analysis – e.g. see ( Zhang and Gable, 2017 ).

I introduce Table 2 as an afterthought and suggest much interesting and valuable research could be pursued in attention to each of its cells. Such work, in the first instance, might entail inventorying pertinent thought to date. Such effort would likely be multidisciplinary, drawing from many disciplines. Rather than elaborating the individual cells of Table 2 and its full potential for encouraging further research and interrelating extant research, I make several selective observations. First, I note that extant methodological guidance pertains primarily to the individual project level. There is particular need for methods guidance at the program level; I recognise that multi-method and mixed-method guidance has some pertinence here, but much more is required.

Second, while I suggest the nexus of the individual level and governance pertains to “how individual research is governed”, I am of the view that individual research is largely self-governed. That said, both “how individuals govern their research” and “how their research is governed” are of interest to research organisers (e.g. program leaders/administrators). As mentioned, this article gives short shrift to the individual level, as it does to projects as a mechanism. While this scoping decision has to some extent been because, that level has to date received greater attention (e.g. in terms of methods guidance and our understanding of research projects), Table 2 reveals much need and further potential for attention to the individual level (e.g. How do researchers self-govern their research strategy?).

Beyond Table 2 , other areas of valuable further research are suggested herein. As a methodology for the design and execution of both research projects and programmatic research, there is value in employing the Relevance Realisation Lifecycle Model in Fig. 3 , while reflecting on and reporting on its merits (perhaps making a methodological contribution – mechanism C in Fig. 2 ).

As suggested earlier, with the swing to Mode 2 knowledge and growing emphasis on impact and engagement, discipline-university alignment requires attention. To the extent that discipline measures of stature and value are misaligned with university research goals and reward systems, academics and administrators experience conflict and productivity is compromised (some would argue university reward systems haven't evolved in lock-step with university and society aspirations for impact, thereby further exacerbating alignment). Disciplines and ISd have lagged in establishing measures of quality and value that promote impact. Thus, there is merit in assessing this alignment. Attention to this problem has been a major aim herein. More focused attention to ISd – University alignment is warranted, as are measures of rigour that encourage impact.

Further stretching the conception of “research as practice” there may be merit in analogizing other business concepts from industry (e.g. Business Models ( Fielt, 2014 )) to disciplines and research programs. I am herein talking about value and stakeholders. If programmatic research is to be strategic, it must consider the competition and its consumers and investors. Perhaps analogous with the notion of business model is 'research strategy model' (another example of reverse-cross-fertilization). Big data/data analytics is undoubtedly disrupting traditional (explicit and implicit) research strategy models. Some would argue that much of the contemporary data-driven research is too myopic and piecemeal, suggesting value from a more programmatic view; a new research strategy model.

It was argued earlier that discipline – university alignment is in need of attention. A premise of this argument is that disciplines continue to have value. There will be those who advocate that academics sole-allegiance should be to the university; a view I believe to be short-sighted and narrow. Discipline research standards are not static; rather they are constantly evolving, with new methods needed given new research phenomenon and technologies, a key role of the disciplines being to facilitate (and subsequently enforce) the evolution of new standards in lock step with the changing context, foci and priorities. Thus, any assumption that standards are established and the disciplines have served their role is misplaced.

Consistent with the above, a senior scholar espoused the value of engaged scholarship as argued in Rai (2017a) , but qualified that view commenting, “ I would state the tension a bit differently – at least in US institutions, particularly business schools. As an applied discipline, there is a challenge to create interventions for practice, but these necessarily inhibit us from meeting the institutional demands ( e.g. , tenure requirements). The middle ground of “engaged scholarship” which involves problemitization of our research helps in this regard, but the tension remains. Juxtaposition this with the demands from federal funding agencies that create layers of investment demands on the individual to tackle broad societal, interdisciplinary problems with cross-disciplinary teams. On top of this, our journals are increasingly sensitive to enforcing some kind of disciplinary boundary (i.e., is this IS research?).”

In summary, the main contributions of this viewpoint are twofold. First, the viewpoint argues the need for the IS discipline to think strategically in order to amplify value and contribution, and to thrive. Second, this viewpoint aims to smooth-the-way for manuscript submissions to JSIS and elsewhere, in attention to any of the nodes of the IS Discipline Research Strategy branch in Fig. 2 . It is hoped that discussion herein will engender a longer-term and more strategic view of IS research activity, perhaps promoting coalitions, engagement and impact.

Disciplines, and in some sense the sector, are under threat. Though the threats are several and some nuanced, the aftermath of COVID-19 will be a quite different world; as of this writing it has been reported that rationalisation of the university sector in Australia due to constrained finances and new delivery models following from COVID-19, will entail the loss of 21,000 academic positions. It is time to revisit strategy at all levels.

Acknowledgements

The shape of ideas presented herein has been much improved through the editorial panel review process, with key new ideas introduced. Many thanks to Bob Galliers, Suzanne Rivard, Monideepa Tarafdar and Mary Tate. The literature review and clarity of the paper owes much to the assistance and input of my senior research assistant Karen Stark. I must acknowledge the significant influence on my thinking from breakfast conversations with Alison Gable. The development of ideas proposed has been much facilitated from involvement in the Australian Research Council Discovery grant DP150101022 “Towards Engineering Behavioural Research Design Systems” core team members of which include Arun Rai, Wasana Bandara, Meng Zhang and Mary Tate. Further, I am much appreciative of additional incisive feedback from senior scholars who read the paper subsequent to editorial panel acceptance, which I believe promoted important balance in several areas (though not all will agree I have achieved this).

1 This Viewpoint was invited by Bob Galliers 18 December 2015.

2 In addition to central editorial panel review, the paper was further read by several generous, senior scholars (I use the term descriptively here, though most were Senior Scholars https://aisnet.org/general/custom.asp?page=SeniorScholars ), whose additional feedback was often challenging. Their anonymous contributions are acknowledged in several places, and quotations included, mainly in endnotes (referenced using roman numerals within square brackets). I further observe that many of these comments pertain to known limitations of the paper and complexities with implementing its explicit or implicit recommendations, thereby reflecting a form of rebuttal.

3 By strategic I mean pertaining to, marked by, or important to a long-term strategy. By long-term I suggest 5+ years. I acknowledge both, that short-term and opportunistic initiatives may align with strategy, and where they do not, they may or may not be prudent given strategy.

4 … to transdisciplinary, or inter-disciplinary, or what ( Galliers, 2003 ) refers to as Fields of Study, recognising that disciplines themselves can be more or less transdisciplinary; more or less inclusive and pluralistic.

5 This article was commenced 2015 and largely completed pre-COVID-19. References to COVID-19 are last minute and few, the potential implications of COVID-19 nonetheless believed to amplify many ideas herein.

6 In addition Crimmins (2017) reports that " Bryson identified that approximately 50% of teaching is undertaken by casual academics in the UK, France, Germany and Japan ( Bryson, 2013 ), and in the US casual appointments constitute 70% of faculty teaching positions ( Kezar and Maxey, 2015 ) ".

7 The antithesis of this large viewpoint article is the incisive ( Watson et al., 2020 ) guest editorial in MISQ Executive “Practice-oriented Research Contributions in the COVID-19 Forged New Normal” which in three pages offers four trends greatly accelerated by COVID-19, a list of priority areas for CIOs, and suggestions to scholars on research questions needing rigorous attention.

8 Here we have an instance of what I might refer to as reverse-cross-fertilization, where theory for practice that originated from academe, is being mirrored back onto research practice. There are several other instances of such reverse-cross-fertilization herein.

9 For example, rigor values (what standards of rigor are valued). With regards foci priorities, thesis and conference paper awards will be more current than journal paper awards; journal articles taking longer to see publication.

10 This is not new; much valuable methodological guidance has been targeted at IS researchers (e.g., Weber, 2003 , Weber, 2012 ; Lee, 1989 ). Thus, I advocate more of the same, as well as inventorying and interrelating such effort.

11 It is acknowledged that IS has a chequered track-record adopting good methodological advice. Here again, ISd-Research Governance must play a role in advocating and maximizing access to new methods on offer.

12 Again I mention the value of balance in the IS research ecosystem; small and large initiatives; bottom-up and top-down; basic and applied. While there is clear emphasis herein on applied research, at the discipline level this should not be at the sake of basic research. To quote George Porter, “To feed applied science by starving basic science is like economizing on the foundations of a building so that it may be built higher. It is only a matter of time before the whole edifice crumbles” ( Porter, 1986, p. 16 ).

13 Two local examples of substantive research programs at my home insititution are YAWL www.yawlfoundation.org and the Centre for Future Enterprise https://www.qut.edu.au/research/centre-for-future-enterprise . YAWL (Yet Another Workflow Language) is an established research program that combines technology innovation (e.g., business process modelling language) and managerial application (e.g., knowledge of service and business process design in organizations). YAWL has produced a large body of knowledge through impactful collaboration with industry over the past two decades. YAWL has evolved bottom-up, organically. The CFE is a commencing research program, initially centrally funded by QUT commencing in early 2020. The CFE program seeks to develop knowledge that can address critical challenges facing organizations in the new digital age.

14 I say 'partially clear-the-way' as I anticipate continuing complexity in both the crafting of such papers, and with their equitable evaluation.

15 Moeini et al. (2019) go further to identify factors of relevance-potential generation associated with each of the four stages: 17 factors in total. I encourage readers to further explore the Moeini et al. (2019) 17 factors and consider their value in both near-term research design, and longer-term career and research program strategy.

16 Though I advocate a strategic orientation in research at all levels, from individual to program to discipline, our dual emphasis herein has been primarily on discipline and programs; I've given little attention to the need for individuals to be strategic in their research careers, an important topic for further discussion. Let it suffice here to suggest that individuals should carefully consider their personal, and their projects' fit within the landscape of foci and consider their possible role(s) in programs.

17 E.g. Vial’s (2019) article “Understanding digital transformation: a review and research agenda” ultimately advocates for two main streams of research into the future: (i) How dynamic capabilities contribute to digital transformation, and (ii) The strategic relevance of ethics in digital transformation.

18 Some reference is made to Action Research 'Programs' in Avison et al (2018) .

19 In fact this Viewpoint is consistent with the very first JSIS editorial ( Galliers, 1991:3 ) in which Galliers states " Recognising both the strategic importance and potential of information, [JSIS] will present papers from both the academic and business worlds which will draw attention to these key issues, and provide practical lessons in dealing with them from both state-of-the-art research and current experience. "

20 Our focus herein is on those universities having a substantive research mission. We recognize universities are not homogenous and that there are other tertiary education and private sector and semi-public institutions of relevance. In addition, universities in the U.S. and elsewhere are more autonomous than in Australia and the UK, an important consideration for the generalizability of results.

Appendix A. Article fit with JSIS

As with all submissions, careful consideration was given to the fit of this Viewpoint with JSIS. In this regard, it is useful to consider both JSIS policy on Viewpoint articles and current JSIS Scope and Aims. JSIS policy is that “All Viewpoint articles are by invitation only. Viewpoints may or may not involve empirical evidence and are often provocative or introduce an interesting new line of enquiry. Regardless, Viewpoint articles must be well-referenced and rigorous in their logic and arguments, and are subject to careful review, over multiple rounds by an appointed panel, including at least one member of the editorial team ” (JSIS Policy).

The current abridged Aims & Scope (A&S) state that JSIS “ focuses on the strategic management, business and organizational issues associated with the introduction and utilization of information systems, and considers these issues in a global context. The emphasis is on the incorporation of IT into organizations' strategic thinking, strategy alignment, organizational arrangements and management of change issues. The journal publishes research from around the world […] A transdisciplinary, critical approach/perspective is welcome .”

As stated, viewpoints “ are often provocative or introduce an interesting new line of enquiry ”. Thus the role of review with viewpoints is less to achieve unanimous agreement with the view expressed, and more to assess whether the viewpoint is provocative or interesting and “ well-referenced and rigorous in their logic and arguments ”. Second, though not specifically or solely about “ the introduction and utilisation of information systems ”, conceiving the IS discipline (ISd) as an organisational entity warranting a strategy orientation does open discussion on the strategic value of IS for ISd (with several examples alluded to). Third, this article represents IS research methods as strategic mechanisms of ISd-Research Strategy. The author subscribes to the view that methods are valued design science research artifacts and that ISd should “practice what it preaches” by deploying its own contemporary methods in the conduct of more impactful research. Fig. 3 process view of the stages and phases of research relevance realization depicts and advocates for the integration of research and practice. In this view, research methods pertain to the earlier stages of an IT value production continuum, informing later information systems.

Ultimately though, all of these arguments on fit of the article with JSIS, are peripheral to the central aim of the article, which is the amplification of strategic thinking in IS research – the further leveraging of an orientation natural to the JSIS community, with emphasis on research programs as a main strategic lever, and further considering how JSIS can be instrumental in this aim.

While the Aims & Scope of JSIS are periodically reviewed, given their centrality to the journal identity there is healthy resistance to change without strong rationale ( Gable, 2020 ). Based on arguments espoused herein, it is believed there is good fit of the article with JSIS; it is not believed the addition of ISd-Research Strategy as a fourth theme of SIS demands a change to the Aims & Scope. That said, early in my tenure as the new Editor-in-Chief of JSIS I initiated discussion on the continuing suitability of the existing Aims & Scope; that discussion is continuing.

Comments from senior scholars

[i] A related senior scholar comment was “ This seems like an interpretation of Gibbons et al which I’d see as view of Mode 2 which is more rigid (e.g. government involvement) which may or may not be what Gibbons et al mean when they say Mode 2 .” I recognise not all Mode 2 research is dependent on government intervention. As suggested by another senior scholar, “ Individual academic researchers from different disciplines can come together to work on a project of mutual and interdisciplinary interest, irrespective of government pressure (or lack thereof)”
[ii] An anonymous senior scholar contrarily wrote, “ the issue for US universities is ‘money’ – where does it come from given that students from overseas are drying up, funding from government is declining, and the competition from a myriad of sources for student dollars is increasing at a rapid rate. ” Yet, I don't see these views as divergent. Universities will seek to rationalise, through cost-cutting and further leveraging existing resources (mainly people), while also promoting new sources of revenue (e.g. collaborative research income).
[iii] One senior scholar commented “ Possibly, but what is missing here is indeed the individual perspective. Why would individual researchers want to conform to such a process [long-term research programs]? How does it help their careers? Their cvs? I know that you don’t plan to deal with the individual perspective in this article, but individual authors/researchers will simply ignore any policies that they don’t like.”
[iv] One senior scholar questioned whether a discipline can be an actor; can have agency. “ I would think of discipline almost like a religion. So let’s take Christianity as the “discipline”. Churches are certainly actors as are various church ministers/staff and individual church members (and for Catholics, the papacy). But does it make sense to talk of Christianity as an actor and strategize at the level of Christianity itself? Well, in fact, some might say “yes”. Christianity (or Judaism or Islam, whatever) needs a coherent identity guided by mission (similar to strategy, I suppose) to maintain its influence in the world, some would argue. So maybe one can see a religion, or a discipline, as an actual entity with an identity. My own analogy is making me think that perhaps I was wrong in my dismissal of the IS discipline as an actor. AIS is certainly an actor, as are senior scholars and EICs even the Editorial boards. These are representatives of the discipline in the same way that the papal institution, for example, is a representation of Catholicism (it is not actually the embodiment of it because the faith preceded the institution much like IS research preceded AIS and the journals etc.). So yes for me the question really gets to – is the discipline (or a religion) an actor that needs a strategy/mission or is the discipline some nebulous concept used to describe various individuals and organizations that are connected by a shared identity/mission.”
[v] While I agree with the senior scholar who observed “MIS and IS research are not necessarily the same thing […] IS research in 2020 and IS research in 1989 are not the same thing ”, I am not here attempting to theoretically define IS research, but rather simply highlighting the value from such efforts.
[vi] One senior scholar commented, “ Here again you have the ‘Mintzberg’ issue whether ISd research strategy is planned or emerging – I think very much the latter. I also do not see how the field of IS could be ‘governed by any type of governor’. It is clearly liberalistic, but of course there are (and I very much think there should be) influences from funding agencies.”
[vii] One senior scholar wrote, “ Is this a reverse engineering of a strategy, or a simple summary of activities and outcomes hoping to find a pattern leading to an (implicit) strategy?”
[viii] Vidgen et al. (2019) discuss the importance of journal ranking lists saying, “Journal lists are a yet stronger and more potent form of strategic signalling in research. Organizations, such as the Financial Times, signal which journals matter, for example, through the FT50, and business schools in turn enrol these lists in order to communicate [research] values and priorities to their academic staff .“
[ix] A senior scholar wrote, “ Sounds more like an inductive strategy development, ie authors can still pick their directions and an entity selects best examples to communicate what is desired .”
[x] One senior scholar wrote, “ If we thought our research mattered, ICIS would be the premier outlet. If we do find anything of relevance, our journals take years to publish it and practice has moved on.”
[xi] A senior scholar wrote, “ Is this sufficient? Do these methods help us to develop artefacts in the speed needed? To deal with new scales of empirical evidence? To understand the co-existence of theory and data-inferred insights?”
[xii] To which one senior scholar commented, “ I can accept the legitimacy of this argument, but … most IS researchers don’t particularly care whether the ecology is flourishing or not.”
[xiii] A senior scholar wrote, “ Isn’t this exactly where strategy is needed? A discipline has the strategic option to collectively focus on grand challenges (eg, medicine) or value a more democratic, bottom-up growth of the research portfolio. Not making a clear statement of which of these options is valued is probably a sign of a lack of strategy, and maybe a sign of where ISd is in terms of its stategizing, or lack of?”
[xiv] A senior scholar asked “ Who would decide what these should be?” As mentioned earlier, these directions are often shaped by a range of governance mechanisms and gatekeepers at various levels (e.g. Editors, reviewers, examiners, grant proposal panel members …). They are sometimes more overtly advocated (e.g. this article being a case in point). In the main, historically, they have emerged bottom-up (see 2 nd footnote prior).
[xv] Another senior scholar commented “ The section […] advocates for research programs (which I agree with), but leaves open the question of where these programs should come from? They could be advocated through funding centers, professional associations (like AIS), institutional structures (like research centers in the US) or just through individual agency. While the paper indicates that all programs are good…. there are tradeoffs that can make certain sources of these programs as counterproductive. There has to be a blending of societal importance, resources, value systems and incentive systems for research programs to work .”
[xvi] A further senior scholar commented, “A top down approach to drive research strategy in a discipline, whilst a noble pursuit perhaps, I think it is a bit of an 'oxymoron'. Ultimately research is driven by problems in a changing world and any research program not plugged properly in the world is doomed i.e. a bottom up view is a key to success (how to reconcile with the nobleness of a top down view- frankly, I am not sure, but I think this is a challenge for research administrators who hold purses, and perhaps to chief editors, and research leaders at various levels..).”
[xvii] A senior scholar commented, “ I wonder how difficult it would be to set up such programmes? Who would initiate them? Who would give them ‘credibility’? How would we ‘enforce’ compliance?”
[xviii] A senior scholar commented “ I was SE for […] and I found it difficult to get reviewers to review such papers. They didn’t follow the ‘traditional’ template and hence there was difficulty in getting ‘serious’ reviews. I even wrote an article on how to undertake a critical review of such papers. But it is not an easy fix .”
[xix] To which one senior scholar commented, “ I support this, but such studies take time and given tenure and promotion clocks, I find researchers don’t embark on such projects .”
[xx] A senior scholar commented, “ I have tried to publish articles that might change the field. For example, we argued we should balance the attention given to explanatory science by some attention to intervention science so we go beyond theories based on associations found in data to field tests of a theory’s efficacy. This and other challenges to the status quo failed. Though, when I present these views the response is positive. People know we have a problem but there is no external force compelling change.”
[xxi] One senior scholar commented, “ I personally find it unethical, if research is not driven by some type of relationship to ‘contribution of ‘societal value’. This is something we have forgotten and neglected in our frantic race for publishing more and getting a higher h-index … Without contribution to attainment of societal values, the ISd field does not have any meaning, and should be eradicated .”
[xxii] One senior scholar wrote, “ Quite simply, an applied field that does not produce applicable knowledge in a timely manner is failing society .”
[xxiii] One senior scholar commented, “ I think ‘rigor’ is problematic because of the way the field views ‘rigor’ […] I firmly believe this is the root of most of the problem. Rigor is too narrowly conceived.”
[xxiv] A senior scholar – “ Most people will agree with Table 1 , but few will do anything to make it happen.”
[xxv] A senior scholar commented, “ I like the “opening up” of JSIS to introspective work that advances the discipline. Proposal of new research programs has traditionally been handled organically (i.e., borrowed theory like TRA creates TAM which then creates a platform for incremental research) or initiated through special issues that are usually aligned with emergent phenomena. So, in advocating papers that develop new foci and research programs, it is important to provide some idea of scope. For instance, is a call for papers on a new phenomenon (e.g. domestic robots) the type of papers that JSIS would like to attract? Is a research program at the level of design science vs. behavior science vs. economics (which could fundamentally change the nature of the discipline itself) or should it be more narrowly scoped? ”
[xxvi] One senior scholar commented, “ I am a bit concerned by the aggressive push toward practice as described in Table 1, if it comes at the cost of theory. In fact, theory bashing has now become fashionable in our field, with many articles (e.g., Dennis, Hirschheim, special issue in JIT) arguing against theory. This has emboldened big data research that take data sets and applies sophisticated analytics to predict very tactical corporate questions (since the data is low level digital trace data). These papers often don’t even make the pretence of theorizing…and usually address questions that companies (with their data and analytical resources) can do better. I think this is dangerous for our field – we need to improve our theorizing and engage with practice – but not abdicate theory altogether ”.
[xxvii] One senior scholar commented, “ I shifted my approach towards tackling problems that mattered for CIOs or society with the goal of producing applicable knowledge. This view is somewhat echoed in Table 1, except I think many articles should be about implications for practitioners rather than a perfunctory afterthought section at the end of the paper. Creating applicable knowledge should dominate the research question, design, and findings. Maybe we could add a paragraph on implications for theory.”
[xxviii] One senior scholar wrote “ I am on board with what is suggested but also mindful that our relevance is linked to our enrolments and our linkages with the broader institutional environment to ensure our enrolments. I think the simple equation is ‘No enrolments, no research’, so it might be worth mentioning that somewhere in the article ... [with reference to Figure 1] I think one area that AIS should link to are accreditation agencies (AACSB, Seoul Accord etc.) to ensure that our research continues to get reflected in what is taught … AIS should also have linkages with various bodies such as SFIA that develop ‘bodies of knowledge’ that include IS-related content.”
[xxix] They went on to comment “While there can be no disagreement with this claim, I think a broader source of legitimacy for disciplines is the number of students enrolled in the discipline.
Strategically, as a discipline, we also need to pay attention to how we can ensure a continuing increase in enrolments in our discipline … We have seen often enough in business schools that when enrolments in IS drop, hiring of junior faculty drops. When faced with such an existential crisis, it is difficult to see how we can expect commitment to programmatic research … The reality is that over 90% of revenue for business schools comes from teaching. Undergraduate teaching in a majority of business schools contributes a bulk of this revenue. With the continuing casualisation of teaching, esp undergraduate teaching, it is easy to see how the discipline could go into a downward spiral.
[xxx] And … “I think that there are a couple of strategic linkages with our institutional environment that we need to work on as a discipline. One is with accreditation bodies (esp AACSB, EQUIS and AMBA) to ensure that the coverage of IS/digital issues continues to increase in what is expected by these bodies of business school graduates ... The other linkage is with bodies such as the Seoul Accord and SFIA to ensure that we continue to have a say in how the IS curriculum evolves to reflect our research programmes … Perhaps, this is something the AIS should aim for, if it is not already doing so.
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130 Information Technology Research Topics And Quick Writing Prompts

The field of information technology is one of the most recent developments of the 21st century. Scholars argue that we are living in a technological age. Despite this buzz, however, many students still find it challenging to compose an information technology research topic.

Nonetheless, we are here to show you the way and lead you accordingly. Let us explore professional topics in information technology together then.

Quality Information Technology Topics For Research Paper

The effects of Artificial Intelligence on complex and tedious tasks
Discuss the development of computational & synthetic biology in research
What are the limitations to the study of computer architecture in colleges?
Discuss the evolution of animation, computer graphics, and game science
Critically analyze how computing is contributing to the development
What are the emerging fields of study in computer data science?
How to manage data in the age of the 5G technology
The impact of human-computer interaction on innovations
How is machine learning exposing students to more recent opportunities in life?
Evaluate molecular information systems and their role in biotechnology
How information technology has contributed to natural language processing
What are the latest developments in programming languages and software engineering
Analyze emerging opportunities in the field of Robotics

College Research Paper Topics in Information Technology

The rising security and privacy concerns with technological advancements
What are the considerations when setting up systems and networking?
Discuss the theory of computation and its contribution to information technology
Why is ubiquitous computing attracting fewer students?
The role of wireless and sensor systems in making the world a safe place
Reasons, why cloud computing has helped save on space and efficiency
Why are most computer students comprised of the male?
Discuss the essence of amorphous computing in the 21st century
How has biomedical mining impacted the health sector?
Can cyborgs relate well with the man?
How neural networking is making brain surgery a swift process
The role of swarm intelligence in collaboration and brainstorming
How are companies maximizing the use of Big Data?

List of Topics For Research Paper in Information Technology

Discuss how the Internet of Things is transforming how people conduct their activities
Challenges to software-defined networking
How are marketers and promoters taking up software as a service?
The role of augmented reality and virtual reality in healthcare systems
How intelligent apps are making life easier for man
The role of information technology in detecting fake news and malicious viral content
Long term effects of a technologically oriented world
Technological advancements that made it possible for the SpaceX shuttle to land on the International Space Station
How technology is making learning more practical and student-centered
What role has technology played in the spread of world pandemics?
How are governments able to shut down the Internet for their countries during particular events?
Does social media make the world a global village or a divided universe?
Discuss the implications of technological globalization

Unique Information Technology Research Topics

Discuss the areas of life which have been least exploited using technology
What are the considerations for setting up an educational curriculum on computer technology?
Compare and contrast between different computer processing powers
Why is Random Access Memory so crucial to the functioning of a computer?
Should computer as a subject be mandatory for all students in college?
How information technology has helped keep the world together during the quarantine period
Discuss why most hackers manage to break firewalls of banks
Are automated teller machine cards a safe way of keeping your bank details?
Why should every institution incorporate automated systems in its functions?
Who is more intelligent than the other? Man or Computer systems?
How is NASA implementing the use of Information technology to explore space?
The impact of automated message replies on smartphones.
Do mobile phones contain radiations that cause cancer?

IT Research Topics For High School Students

How does natural language processing compare with machine learning?
What is the role of virtual reality in the entertainment industry?
Discuss the application of computer vision technology in autonomous cars
How have CCTVs assisted in keeping the world safe?
Effects of phishing and spying on relationships
Why cyber espionage is on the rise in the face of the 5G technology
Compare and contrast between content-based recommendation vs. collaborative filtering
Evaluate the interconnection between the Internet of things and artificial intelligence
Analyze the amount of data generated from the Internet of things in devices
Ethical and legal implications of various technological practices
How technology has contributed to the formation of Genetically Modified Organisms
Describe in detail the vaccine development process
Why nanotechnology may be the only hope left in treating HIV

Hot Topics in IT

How companies can incorporate information technologies in their policy management systems
The role of IT in enhancing service delivery in customer care centers
How IT has made advertising more appealing and authentic to the consumer
Discuss the innovation of the Next Generation education systems
Why are there fewer Information Technology colleges and universities in developing countries?
Discuss WIFI connectivity in developed countries
What are the considerations when purchasing a Bandwidth Monitor?
How to create an effective Clinic Management System for intensive care
Factors that necessitate the development of an Enterprise Level System Information Management
Is it possible to develop fully functional Intelligent Car Transportation Systems?
Why the world should adopt E-Waste Management systems ASAP
Discuss the impact of weather and climate on internet strength and connectivity
The role of advanced information technologies preserving classified documents

Interesting Information Technology Topics

Human resource information management systems in large organizations
Evaluate the effectiveness of online enterprise resource planning
A critical analysis of object tracking using radial function networks
How has Bluetooth mobile phone technology developed over time?
Ethical challenges arising from new media information technologies
How the computer has developed over the last decade
The role of social media in enhancing communication strategies
Why new media technologies have made physical newspapers obsolete
The impact of the Internet of news sourcing, production, distribution, and sharing
Discuss the structures of various communication structures
How social media is making ads easily accessible
The impact of social networking sites on personal contact
Discuss the latest content marketing ideas in the wake of information technology

Topics Related To Information Technology

The impact of media exposure to adolescents and teenagers
How mass media is slowly but surely taking over the place of personal socialization
How to use the Internet and interactive media as advertising tools
Discuss the trends in music marketing in a digital world
The use of hype in new media technologies
The impact of using YouTube and video blogs in communication messages
Discuss the challenges that are arising as a result of new media technologies
How to build trustful relationships in virtual communication channels
Why it is impossible to maintain privacy in social media
Reasons why cyberbullying continues to persist in various communication technologies
The change in interpersonal communication with the invention of information technology
Is the future of information technologies right?
Discuss how sensationalism is persisting in the wake of new media technologies

Research Proposal Topics in Information Technology

Is it possible to live in a world without social media?
The impact of mass media on morality and decency in the 21st century
Advantages and disadvantages of renewable energy sources
How effective is hydrogen power over others?
An overview of renewable energy technologies
The impact of robots in improving food safety
How are drones useful in keeping large acres of land secure?
The impact of 3D printing on the practice of medicine
The effectiveness of having robots in infectious disease units
The impact of hydroponic farming
How to improve disease control using technology
Eliminating poisonous substances in food using technology
The effectiveness of robotic surgeries

Hot Topics in Computer Science

Distinguish between virtual reality and human perception
How are the inventions in the field of computer science transforming the world
Evaluate the effectiveness of high-dimensional data modeling
Limitations to the field of computer science
Are colleges and universities producing competent computer scientists?
How ethical hacking has turned out to be worse
The essence of having specialized banking systems
What is the most effective security measure: A serial code or fingerprint?
The development of programming languages
The effect of computational thinking on science
Is it possible to eliminate stalking?
Ways of improving patent rights for technological innovations
An overview of the different types of software security

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Information Systems Research Topics for MS PhD

Information systems research topic ideas for ms, or ph.d. degree.

I am sharing with you some of the research topics regarding Information Systems that you can choose for your research proposal for the thesis work of MS, or Ph.D. Degree.

A survey on blockchain for information systems management and security
The perils and promises of big data research in information systems
A novel Dual-Blockchained structure for contract-theoretic LoRa-based information systems
A novel decision-making approach based on three-way decisions in fuzzy information systems
Review and critique of the information systems development project failure literature: An argument for exploring information systems development project distress
Product decision-making information systems, real-time big data analytics, and deep learning-enabled smart process planning in sustainable industry 4.0
Blockchain-based privacy-preserving remote data integrity checking scheme for IoT information systems
Human resource information systems
The role of three-dimensional geographic information systems in subsurface characterization for hydrogeological applications
Cognition digital twins for personalized information systems of smart cities: Proof of concept
Trust in Management Information Systems (MIS) A Theoretical Model
Exploring the characteristics and utilisation of Farm Management Information Systems (FMIS) in Germany
Managing risk in information systems
Data science: developing theoretical contributions in information systems via text analytics
The Determinants of management information systems effectiveness in small-and medium-sized enterprises
Accounting information systems: controls and processes
Weaponizing information systems for political disruption: The actor, lever, effects, and response taxonomy (ALERT)
A systematic review of social media acceptance from the perspective of educational and information systems theories and models
End-user participation in health information systems (HIS) development: Physicians’ and nurses’ experiences
Financial Management Information Systems and accounting policies retention in Brazil
A common attribute reduction form for information systems
… quality factors matter in enhancing the perceived benefits of online health information sites? Application of the updated DeLone and McLean Information Systems …
Geographic information systems (GIS) for disaster management
Enabling supply chain analytics for enterprise information systems: a topic modelling literature review and future research agenda
A Systematic Review of Empirical Affordance studies: Recommendations for Affordance Research in Information Systems.
Applying Team-Based Learning in Online Introductory Information Systems Courses
Complexity and Information Systems Rsearch in the Emerging Digital World
Public health informatics and information systems
Analyzing the location of city logistics centers in Istanbul by integrating Geographic Information Systems with Binary Particle Swarm Optimization algorithm
Understanding the challenges associated with the use of data from routine health information systems in low-and middle-income countries: A systematic review
Integration of the Dimensions of Computerized Health Information Systems and Their Role in Improving Administrative Performance in Al-Shifa Medical Complex
Accounting information systems in the blockchain era
Continuous transition from model-driven prototype to full-size real-world enterprise information systems
On the Use of Qualitative Comparative Analysis in Information Systems Research-A Critical Review
Implementation of business intelligence considering the role of information systems integration and enterprise resource planning
Utilizing chemometrics and geographical information systems to evaluate spatial and temporal variations of coastal water quality
Optimizing data quality of pharmaceutical information systems in public health care in resource limited settings
The impact of Public Sector Scorecard adoption on the effectiveness of accounting information systems towards the sustainable performance in Public Sector
The role of information systems in decision-making and public policy making
Analysis of barriers to the deployment of health information systems: A stakeholder perspective
Reengineering of Information Systems toward Classical-Quantum Systems.
Safe use of hospital information systems: an evaluation model based on a sociotechnical perspective
Organizational information security management for sustainable information systems: An unethical employee information security behavior perspective
Organization of a virtual enterprise in information systems
Twenty‐five years of the Information Systems Journal: A bibliometric and ontological overview
Green Information Systems Refraction for Corporate Ecological Responsibility Reflection in ICT Based Firms: Explicating Technology Organization Environment …
A Data Analytics Framework for Smart Asthma Management Based on Remote Health Information Systems with Bluetooth-Enabled Personal Inhalers.
Utilisation of hospital information systems for medical research in Saudi Arabia: A mixed-method exploration of the views of healthcare and IT professionals involved in …
Unconstrained design: Improving multitasking with in-vehicle information systems through enhanced situation awareness
The architecture of computer hardware, systems software, and networking: An information technology approach
Covid-19 pandemic and suicide in France: An opportunity to improve information systems
Information Technology and Systems: Proceedings of ICITS 2020
Risk Management in Information Technology
The effects of information systems compatibility on firm performance following mergers and acquisitions
Information Systems Students’ Impressions on Learning Modeling Enterprise Architectures
Drivers of intentions to use healthcare information systems among health and care professionals
Vulnerability and protection of business management systems: threats and challenges
Development of algorithm for analysis of sound fragments in medical information systems
A framework for validating information systems research based on a pluralist account of truth and correctness
Use of ontology learning in information system integration: a literature survey
Conceptmap: A conceptual approach for formulating user preferences in large information spaces
An Analysis of Point of Sales (POS) Information Systems in SMEswith The Black Box Testing and PIECES Method
Design principles for the General Data Protection Regulation (GDPR): A formal concept analysis and its evaluation
Virtually in this together–how web-conferencing systems enabled a new virtual togetherness during the COVID-19 crisis
Roadmap to strengthen global mental health systems to tackle the impact of the COVID-19 pandemic
Information and Communication Infrastructures in Modern Wide-Area Systems
Cyber-Physical Systems: a multi-criteria assessment for Internet-of-Things (IoT) systems
On the declarative paradigm in hybrid business process representations: A conceptual framework and a systematic literature study
Compact and high-performance vortex mode sorter for multi-dimensional multiplexed fiber communication systems
A modeling method for systematic architecture reconstruction of microservice-based software systems
Decision support systems for agriculture 4.0: Survey and challenges
Blockchain adoption from an interorganizational systems perspective–a mixed-methods approach
Exploiting chemistry and molecular systems for quantum information science
Information Technology Governance: Reflections on the Past and Future Directions
The price of fairness-A framework to explore trade-offs in algorithmic fairness
Shared Ledger Accounting—Implementing the Economic Exchange Pattern
Implications of Knowledge Organization Systems for Health Information Exchange and Communication during the COVID-19 Pandemic
Using secondary data to tell a new story: A cautionary tale in health information technology research
Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making
Integration of new information in memory: new insights from a complementary learning systems perspective
What drives unverified information sharing and cyberchondria during the COVID-19 pandemic?
The rise of human machines: How cognitive computing systems challenge assumptions of user-system interaction
Community-diversified influence maximization in social networks
Electronic religious programs on islamic subjects on the example of the sanctuary of Al-Hakim Al-Termizi
An incremental attribute reduction approach based on knowledge granularity for incomplete decision systems
Unpacking the difference between digital transformation and IT-enabled organizational transformation
Information scrambling at finite temperature in local quantum systems
Auditing cloud-based blockchain accounting systems
Eye-tracking-based classification of information search behavior using machine learning: evidence from experiments in physical shops and virtual reality shopping …
Uncertain information and linear systems
Maritime reporting systems
Evaluating E-learning systems success: An empirical study
Information freshness in cache updating systems
Business models shifts: Impact of Covid-19
A trustworthiness-based vehicular recruitment scheme for information collections in distributed networked systems
Medical information retrieval systems for e-Health care records using fuzzy based machine learning model
On the reliability of test collections for evaluating systems of different types
Global health crises are also information crises: A call to action
Review of compact computational spectral information acquisition systems
A pre-filtering approach for incorporating contextual information into deep learning based recommender systems
Mapping county-level mobility pattern changes in the United States in response to COVID-19
Banana Classification Using Deep Learning
Information technology elements for optical systems of identification of autonomous underwater vehicles
Time-efficient target tags information collection in large-scale RFID systems
Blockchain and the united nations sustainable development goals: towards an agenda for is research
Infrastructural sovereignty over agreement and transaction data (‘metadata’) in an open network-model for multilateral sharing of sensitive data
Are high-performing health systems resilient against the COVID-19 epidemic?
The search for smartness in working, living and organising: beyond the ‘Technomagic’
Covert communications without channel state information at receiver in IoT systems
Hypertext: from text to expertext
JSON: Data model and query languages
Introduction to ultra-wideband radar systems
Machine learning based diagnosis of diseases using the unfolded EEG spectra: towards an intelligent software sensor
A review of research relevant to the emerging industry trends: Industry 4.0, IoT, blockchain, and business analytics
Principles of construction of systems for diagnosing the energy equipment
Editorial reflections: Lockdowns, slow downs, and some introductions
Containing COVID-19 through physical distancing: the impact of real-time crowding information
Evaluating content novelty in recommender systems
Smart city model based on systems theory
Type of Grapefruit Classification Using Deep Learning
Information technology audit quality: an investigation of the impact of individual and organizational factors
Directions for professional social matching systems
Conceptual approach to building a digital twin of the production system
New information technologies in the estimation of stationary modes of the third type systems
RF systems design for simultaneous wireless information and power transfer (SWIPT) in automation and transportation
Capturing the complexity of gamification elements: a holistic approach for analysing existing and deriving novel gamification designs
Optimal site selection for solar photovoltaic (PV) power plants using GIS and AHP: A case study of Malatya Province, Turkey
Mining association rules for anomaly detection in dynamic process runtime behavior and explaining the root cause to users
Eight grand challenges in socio-environmental systems modeling
Future integrated mobility-energy systems: A modeling perspective
A novel framework to evaluate innovation value proposition for smart product–service systems
Diagnostic Systems For Energy Equipments
Utilising neutrosophic theory to solve transition difficulties of IoT-based enterprises
Towards smart farming: Systems, frameworks and exploitation of multiple sources
Measuring Resilience of Human–Spatial Systems to Disasters: Framework Combining Spatial-Network Analysis and Fisher Information
Age of information for multicast transmission with fixed and random deadlines in IoT systems
The role of personality and linguistic patterns in discriminating between fake news spreaders and fact checkers
Mapping the incidence of the COVID-19 hotspot in Iran–Implications for Travellers
How farmers shape cultural landscapes. Dealing with information in farm systems (Vallès County, Catalonia, 1860)
An overview of clinical decision support systems: benefits, risks, and strategies for success
Will the COVID-19 pandemic change waste generation and composition?: The need for more real-time waste management data and systems thinking
Digital Systems and New Challenges of Financial Management–FinTech, XBRL, Blockchain and Cryptocurrencies
Identity asymmetries: An experimental investigation of social identity and information exchange in multiteam systems
How enterprises adopt agile forms of organizational design: a multiple-case study
Acceptance of text-mining systems: The signaling role of information quality
Improving health care management in hospitals through a productivity dashboard
The construction of smart city information system based on the Internet of Things and cloud computing
Foundations of cryptoeconomic systems
Information distribution in multi-robot systems: Utility-based evaluation model
Dew computing architecture for cyber-physical systems and IoT
The port as a set of socio-technical systems: A multi-organisational view
IOS drivers of manufacturer-supplier flexibility and manufacturer agility
A secure authenticated and key exchange scheme for fog computing
Information and communication technologies in tourism
The effect of customer lifestyle patterns on the use of mobile banking applications in Jordan
Human identification for activities of daily living: A deep transfer learning approach
The geography of transport systems
Virtual reality
Technical provision of diagnostic systems
The contribution of systems science to Industry 4.0
Peers matter: The moderating role of social influence on information security policy compliance
On the age of information in internet of things systems with correlated devices
A survey on knowledge graph-based recommender systems
How corporate social responsibility activities influence employer reputation: The role of social media capability
A dual systems model of online impulse buying
Explanatory and predictive model of the adoption of P2P payment systems
Public Health Informatics: An Introduction
Principles of ties of internal control and management accounting systems at the enterprises of black metallurgy
Pivot-based approximate k-NN similarity joins for big high-dimensional data
Classifying nuts types using convolutional neural network
Enabling the analysis of personality aspects in recommender systems
Transparency and accountability in AI decision support: Explaining and visualizing convolutional neural networks for text information
Cornac: A Comparative Framework for Multimodal Recommender Systems
Trust information network in social Internet of things using trust-aware recommender systems
The Role of KM in Enhancing AI Algorithms and Systems
Towards a characterisation of smart systems: A systematic literature review
Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life
Output and regulated output synchronization of heterogeneous multi-agent systems: A scale-free protocol design using no information about communication network …
Secure lightweight password authenticated key exchange for heterogeneous wireless sensor networks
How voluntary information sharing systems form: Evidence from a us commercial credit bureau
Designing multistage search systems to support the information seeking process
Recent Advances in Flexible and Stretchable Sensing Systems: From the Perspective of System Integration
Integrating geospatial technologies and unmanned aircraft systems into the grower’s disease management toolbox
A development framework for decision support systems in high-performance sport
Information resource orchestration during the COVID-19 pandemic: A study of community lockdowns in China
IoT Data Management—Security Aspects of Information Linkage in IoT Systems
Task recommendation in crowdsourcing systems: A bibliometric analysis
Survey on various conversational systems
The Role Of Blockchain As A Security Support For Student Profiles In Technology Education Systems
Reliability bounds for multi-state systems by fusing multiple sources of imprecise information
On the design of output information-based sliding mode controllers for switched descriptor systems: Linear sliding variable approach
The pinar del río geography and connected photovoltaic systems to grid
Challenges and future directions of computational advertising measurement systems
Fisher information and Shannon entropy calculations for two-electron systems
TAMING COMPLEXITY IN SEARCH MATCHING: TWO-SIDED RECOMMENDER SYSTEMS ON DIGITAL PLATFORMS.
An extensive study on the evolution of context-aware personalized travel recommender systems
Clustering and self-organization in small-scale natural and artificial systems
Establishing smart service systems is a challenge: a case study on pitfalls and implications
Designing, developing, and deploying artificial intelligence systems: Lessons from and for the public sector
The negative skycube
Towards digital engineering: the advent of digital systems engineering
An Integrated model of continuous intention to use of google classroom
Port Community Systems: A structured literature review
Working towards a multimedia learning environment: experiences in the classroom
Large-scale question tagging via joint question-topic embedding learning
Skills, Certifications, or Degrees: What Companies Demand for Entry-Level Cybersecurity Jobs.
Geographic objects with indeterminate boundaries
Recent advances and challenges in task-oriented dialog systems
Industry 4.0 integration with socio-technical systems theory: A systematic review and proposed theoretical model
Diagnosis of arthritis using adaptive hierarchical Mamdani fuzzy type-1 expert system
Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system
Cybernetic Approach to Developing Resilient Systems: Concept, Models and Application
Factors that affect accounting information system success and its implication on accounting information quality
Reconciliation of privacy with preventive cybersecurity: The bright internet approach
How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research
A survey on conversational recommender systems
A human-in-the-loop manufacturing control architecture for the next generation of production systems
Dynamic representations in networked neural systems
Cognitive twins for supporting decision-makings of Internet of Things systems
Challenges in building intelligent open-domain dialog systems
Organizational and environmental influences in the adoption of computer-assisted audit tools and techniques (CAATTs) by audit firms in Malaysia
Mutual clustering on comparative texts via heterogeneous information networks
Smart production systems drivers for business process management improvement
Real time dataset generation framework for intrusion detection systems in IoT
COVID-19 pandemic: Shifting digital transformation to a high-speed gear
Design Theory Indeterminacy: What is it, how can it be reduced, and why did the polar bear drown?
A cloud-based platform for the non-invasive management of coronary artery disease
A practical GIS-based hazard assessment framework for water quality in stormwater systems
An affordance perspective of team collaboration and enforced working from home during COVID-19
Health Information Systems, 2008
Applications and Datasets for Superpixel Techniques: A Survey
An ECDSA Approach to Access Control in Knowledge Management Systems Using Blockchain
What makes a review a reliable rating in recommender systems?
Revocation Mechanisms for Academic Certificates Stored on a Blockchain
Context-Aware Recommendations Based on Deep Learning Frameworks
Towards automating the synthesis of chatbots for conversational model query
A hierarchical model to evaluate the quality of web-based e-learning systems
Blockchain technology-enabled supply chain systems and supply chain performance: a resource-based view
Analyzing Cryptocurrencies
Estimation-action-reflection: Towards deep interaction between conversational and recommender systems
Recommender systems and their ethical challenges
Advanced Database systems
Towards predictive maintenance for flexible manufacturing using FIWARE
Automated continuous noninvasive ward monitoring: validation of measurement systems is the real challenge
Digital nomads
An Algorithm to Select an Energy-Efficient Sever for an Application Process in a Cluster of Servers
Evolution and revolution: Personality research for the coming world of robots, artificial intelligence, and autonomous systems
Considering random factors in modeling complex microeconomic systems
Discrete event-driven model predictive control for real-time work-in-process optimization in serial production systems
Challenges to transforming unconventional social media data into actionable knowledge for public health systems during disasters
An analysis of learners’ intentions toward virtual reality online learning systems: a case study in Taiwan
Techno-unreliability: a pilot study in the field
Learning relational fractals for deep knowledge graph embedding in online social networks
A novel approach towards using big data and IoT for improving the efficiency of m-health systems
Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies
State machine based human-bot conversation model and services
Contributions of scale: what we stand to gain from Indigenous and local inclusion in climate and health monitoring and surveillance systems
Intelligent knowledge lakes: The age of artificial intelligence and big data
Learning management systems: a review of the research methodology literature in Australia and China
Performance Analysis of Machine Learning Algorithms for Cervical Cancer Detection
Privacy in Dynamical Systems
Prominence and engagement: Different mechanisms regulating continuance and contribution in online communities
Evaluation of views regarding pharmacy information management systems implementation and systemic issues in community pharmacies
A critical look at theories in design science research
What affects usage satisfaction in mobile payments? Modelling user generated content to develop the “digital service usage satisfaction model”
A survey on empathetic dialogue systems
Method of constructing explanations for recommender systems based on the temporal dynamics of user preferences
How Foreign and Domestic Firms Differ in Leveraging IT-enabled Supply Chain Information Integration in BOP Markets: The Role of Supplier and Client …
… trial of an information technology enhanced peer-integrated collaborative care intervention versus enhanced usual care for us trauma care systems: clinical …
From responsive to adaptive and interactive materials and materials systems: A roadmap
A multi-dimensional model of Enterprise Resource Planning critical success factors
A minimum centre distance rule activation method for extended belief rule-based classification systems
A fuzzy-based system for assessment of available edge computing resources in a cloud-fog-edge SDN-VANETs architecture
Advances in smart environment monitoring systems using iot and sensors
Understanding the apparent superiority of over-sampling through an analysis of local information for class-imbalanced data
About trust in the information systems on the basis of internet-based technologies
Cyber-physical production systems retrofitting in context of industry 4.0
Distributed maximum correntropy filtering for stochastic nonlinear systems under deception attacks
Adaptive rule adaptation in unstructured and dynamic environments
Systems thinking: A review and bibliometric analysis
Introduction to unmanned aircraft systems
Recent advances and opportunities for improving critical realism-based case study research in IS
Data analytics in higher education: an integrated view
Governance by Other Means: Rankings as Regulatory Systems
Codifying Interdisciplinary Design Knowledge through Patterns–The Case of Smart Personal Assistants
Critical factors in information technology capability for enhancing firm’s environmental performance: case of Indonesian ICT sector
A Model Management Platform for Industry 4.0–Enabling Management of Machine Learning Models in Manufacturing Environments
Compact polarizers for satellite information systems
Combining multicriteria decision analysis and GIS to assess vulnerability within a protected area: An objective methodology for managing complex and fragile systems
Contextualizing the effective use of social media network for collaborative learning: An affordance perspective
Explaining the link between technostress and technology addiction for social networking sites: A study of distraction as a coping behavior
Design of an Inclusive Financial Privacy Index (INF-PIE): A Financial Privacy and Digital Financial Inclusion Perspective
Applying a systematic literature review and content analysis method to analyse open source developers’ forking motivation interpretation, categories and …
Satellite communications systems: systems, techniques and technology
TOPSIS method for developing supplier selection with probabilistic linguistic information
The role of information technology in organization and management in tourism
Big data analytics in healthcare: a systematic literature review
Configuration Optimization and Channel Estimation in Hybrid Beamforming mmWave Systems With Channel Support Side Information
High-Capacity Robust Image Steganography via Adversarial Network.
Does Tailoring Gamified Educational Systems Matter? The Impact on Students’ Flow Experience
Soft systems methodology
Computer Tools for Energy Systems
Customer loyalty improves the effectiveness of recommender systems based on complex network
Assessment of workforce systems preferences/skills based on Employment domain
Efficient NTRU lattice-based certificateless signature scheme for medical cyber-physical systems
Market drivers of sustainability and sustainability learning capabilities: The moderating role of sustainability control systems
Fedfast: Going beyond average for faster training of federated recommender systems
Sustainability management control systems in higher education institutions from measurement to management
Understanding user trust in artificial intelligence‐based educational systems: Evidence from China
Feature selection using genetic algorithms for the generation of a recognition and classification of children activities model using environmental sound
Attributes reductions of bipolar fuzzy relation decision systems
Basic classes in conceptual modeling: theory and practical guidelines
Dynamic-sos: An approach for the simulation of systems-of-systems dynamic architectures
A novel software engineering approach toward using machine learning for improving the efficiency of health systems
Emergent properties of foveated perceptual systems
Fuzzy model estimation of the risk factors impact on the target of promotion of the software product
A real-time data-driven collaborative mechanism in fixed-position assembly systems for smart manufacturing
Ontologies as nested facet systems for human–data interaction
Incorporating rainwater harvesting systems in Iran’s potable water-saving scheme by using a GIS-simulation based decision support system
Digital storytelling and blockchain as pedagogy and technology to support the development of an inclusive smart learning ecosystem
… of everyday life–How COVID-19 pandemic transformed the basic education of the young generation and why information management research should care?
Teaching programming to the post-millennial generation: Pedagogic considerations for an IS course
Uncertainty in information system development: Causes, effects, and coping mechanisms
An effective training scheme for deep neural network in edge computing enabled Internet of medical things (IoMT) systems
Bureaucracy as a lens for analyzing and designing algorithmic systems
Strictly linear light cones in long-range interacting systems of arbitrary dimensions
Self-sovereign identity in a globalized world: Credentials-based identity systems as a driver for economic inclusion
How Much Method-in-Use Matters? A Case Study of Agile and Waterfall Software Projects and Their Design Routine Variation
Underground channel model for visible light wireless communication based on neural networks
Enhancing the classification of social media opinions by optimizing the structural information
Web Scraping with HTML DOM Method for Data Collection of Scientific Articles from Google Scholar
Robotic process mining: vision and challenges
High-performance work systems, innovation and knowledge sharing
A systematic analysis of the optimization of computerized physician order entry and clinical decision support systems: a qualitative study in English hospitals
Software systems from smart city vendors
Information Processing, Information Networking, Cognitive Apparatuses and Sentient Software Systems
WAx: An integrated conceptual framework for the analysis of cyber-socio-technical systems
On data lake architectures and metadata management
Interactive planning support systems with citizens: Lessons learned from renewable energy planning in the Netherlands
Professional identity and the adoption of learning management systems
Towards Anticipatory Information Systems and Action: Notes on Early Warning and Early Action in East Africa
Perception and prediction of intention to use online banking systems: An empirical study using extended TAM
Automated verbal autopsy: from research to routine use in civil registration and vital statistics systems
Adaptive event-triggered control for unknown second-order nonlinear multiagent systems
Resource awareness in unmanned aerial vehicle-assisted mobile-edge computing systems
Improved covering-based collaborative filtering for new users’ personalized recommendations
A new model for the selection of information technology project in a neutrosophic environment
Experience versus expectation: Farmers’ perceptions of smart farming technologies for cropping systems across Europe
Agility and the role of project—Internal control systems for innovation project performance
Introducing systems approaches
Decreasing the problematic use of an information system: An empirical investigation of smartphone game players
Off-policy learning in two-stage recommender systems
Efficient neural matrix factorization without sampling for recommendation
Application of k-means clustering algorithm for determination of fire-prone areas utilizing hotspots in West Kalimantan Province
Sentiment word co-occurrence and knowledge pair feature extraction based LDA short text clustering algorithm
Smart contract invocation protocol (SCIP): A protocol for the uniform integration of heterogeneous blockchain smart contracts
Monetizing Online Content: Digital Paywall Design and Configuration
Adaptive systems for internet-delivered psychological treatments
STFT cluster analysis for DC pulsed load monitoring and fault detection on naval shipboard power systems
A decade of NeuroIS research: progress, challenges, and future directions
Examining the channel choice of experience-oriented customers in Omni-Channel retailing
On the ability of virtual agents to decrease cognitive load: an experimental study
Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems
Recursive coupled projection algorithms for multivariable output-error-like systems with coloured noises
A dynamic deep-learning-based virtual edge node placement scheme for edge cloud systems in mobile environment
Dbkwik: extracting and integrating knowledge from thousands of wikis
The determinants of digital payment systems’ acceptance under cultural orientation differences: The case of uncertainty avoidance
Energy systems for climate change mitigation: A systematic review
Helpfulness prediction for online reviews with explicit content-rating interaction
Do advanced information technologies produce equitable government responses in coproduction: an examination of 311 systems in 15 US cities
The future (s) of digital agriculture and sustainable food systems: An analysis of high-level policy documents
A brief history of intelligent decision support systems
Trainable communication systems: Concepts and prototype
A survey of state-of-the-art approaches for emotion recognition in text
Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience
Autonomous litter surveying and human activity monitoring for governance intelligence in coastal eco-cyber-physical systems
Students’ perceptions on learning management systems of Arabic learning through blended learning model
Information technology–based tracing strategy in response to COVID-19 in South Korea—privacy controversies
On privacy of dynamical systems: An optimal probabilistic mapping approach
Analysis of Malware Impact on Network Traffic using Behavior-based Detection Technique
Game-based learning and gamification to improve skills in early years education
Developing Design Principles for Digital Platforms: An Agent-Based Modeling Approach
Processes, benefits, and challenges for adoption of blockchain technologies in food supply chains: a thematic analysis
Neural Fuzzy Based Intelligent Systems and
How agile software development methods reduce work exhaustion: Insights on role perceptions and organizational skills
Establishment of critical success factors for implementation of product lifecycle management systems
The ethical, legal and social implications of using artificial intelligence systems in breast cancer care
The ethical balance of using smart information systems for promoting the United Nations’ sustainable development goals. Sustainability 12: 4826
Quantum Information
Assessing the effectiveness of rural credit policy on the adoption of integrated crop-livestock systems in Brazil
Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and …
Problem-based learning and process modeling in teaching information systems
Semantics for Cyber-Physical Systems: A cross-domain perspective
Measuring User Perspectives on Website Conference Using System Usability Scale
A comprehensive review on indoor air quality monitoring systems for enhanced public health
Business process monitoring on blockchains: Potentials and challenges
A systematic literature review of sparsity issues in recommender systems
Special Issue Editorial–Accumulation and Evolution of Design Knowledge in Design Science Research: A Journey Through Time and Space
Ethics in telehealth: Comparison between guidelines and practice-based experience-the case for learning health systems
Machine learning in business process monitoring: A comparison of deep learning and classical approaches used for outcome prediction
PADS Arsenal: a database of prokaryotic defense systems related genes
A variational autoencoder solution for road traffic forecasting systems: Missing data imputation, dimension reduction, model selection and anomaly detection
Feedback driven improvement of data preparation pipelines
IoT ecosystem: A survey on devices, gateways, operating systems, middleware and communication
Digital transformation and the new logics of business process management
Detecting fraudulent accounts on blockchain: A supervised approach
Quarry: a user-centered big data integration platform
A theoretical framework for the evaluation of massive digital participation systems in urban planning
Gamifying knowledge sharing in humanitarian organisations: a design science journey
Massive access for future wireless communication systems
A systematic review of Community Engagement (CE) in Disaster Early Warning Systems (EWSs)
Anomaly detection in cyber-physical systems using machine learning
RFR-DLVT: a hybrid method for real-time face recognition using deep learning and visual tracking
Characterizing the propagation of situational information in social media during covid-19 epidemic: A case study on weibo
Moving beyond the direct impact of using CRM systems on frontline employees’ service performance: The mediating role of adaptive behaviour
A critical interpretive synthesis of the roles of midwives in health systems
Smart monitoring and controlling of government policies using social media and cloud computing
Advances in smart antenna systems for wireless communication
CAD for Control Systems
Diagnosis support systems for rare diseases: a scoping review
Agents and multi-agent systems as actor-networks
Quaternion Markov Splicing Detection for Color Images Based on Quaternion Discrete Cosine Transform
The effect of perceived similarity in dominance on customer self-disclosure to chatbots in conversational commerce
Developing web-based support systems for predicting poor-performing students using educational data mining techniques
A fuzzy performance evaluation model for government websites based on language property and balanced score card
An affective response model for understanding the acceptance of mobile payment systems
The impact of control styles and control modes on individual-level outcomes: a first test of the integrated IS project control theory
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?
Joint transmit and reflective beamforming design for IRS-assisted multiuser MISO SWIPT systems
Drought risk to agricultural systems in Zimbabwe: A spatial analysis of hazard, exposure, and vulnerability
Dynamical systems and neural networks
A personal data store approach for recommender systems: enhancing privacy without sacrificing accuracy
A participatory approach based on stochastic optimization for the spatial allocation of Sustainable Urban Drainage Systems for rainwater harvesting.
Keeping Community in the Loop: Understanding Wikipedia Stakeholder Values for Machine Learning-Based Systems
The SOTA approach to engineering collective adaptive systems
Assessing risks of biases in cognitive decision support systems
An enhanced design of sparse autoencoder for latent features extraction based on trigonometric simplexes for network intrusion detection systems
A survey on methods for the safety assurance of machine learning based systems
Cloud-based in-memory columnar database architecture for continuous audit analytics
(Re) considering the concept of literature review reproducibility
Practice Makes Perfect: Lesson Learned from Five Years of Trial and Error Building Context-Aware Systems
Safety assurance mechanisms of collaborative robotic systems in manufacturing
Geographical landslide early warning systems
What Does PISA Tell Us About Performance of Education Systems?
On Using Physical Based Intrusion Detection in SCADA Systems
Digital innovation dynamics influence on organisational adoption: the case of cloud computing services
Bitcoin investment: a mixed methods study of investment motivations
Understanding the role of ICT and study circles in enabling economic opportunities: Lessons learned from an educational project in Kenya
Value cocreation for service innovation: Examining the relationships between service innovativeness, customer participation, and mobile app performance
An alumni assessment of MIS related job skill importance and skill gaps
Leveraging semantic and lexical matching to improve the recall of document retrieval systems: A hybrid approach
The Cyber Threats Analysis for Web Applications Security in Industry 4.0
Smart contracts for blockchain-based reputation systems: A systematic literature review
A survey of recent methods on deriving topics from Twitter: algorithm to evaluation
Modelling and predicting student’s academic performance using classification data mining techniques
The Role of National Health Information Systems in the Response to COVID-19
Epizootogical geo-information systems IOP Conf
Mapping and Geographic Information Systems (GIS)
Empowering MSMEs in the digital economy: role of accounting information systems
Regional Office for the Western Pacific. Developing Health Management Information Systems: A Practical Guide for Developing Countries. Manila: WHO …
Virtual Assistance in Any Context
Bayesian differential programming for robust systems identification under uncertainty
Distributed set-membership filtering for nonlinear systems subject to round-robin protocol and stochastic communication protocol over sensor networks
A literature review on question answering techniques, paradigms and systems
Architecture of the Security Access System for Information on the State of the Automatic Control Systems of Aircraft
Internal control systems and operating performance: Evidence from small and medium enterprises (SMEs) in Ondo state
Contact-tracing apps and alienation in the age of COVID-19
Quantum information processing with space-division multiplexing optical fibres
Evaluation of Gamification in E-Learning Systems for Elementary School Students
On the use of hierarchical fuzzy inference systems (HFIS) in expert-based landslide susceptibility mapping: the central part of the Rif Mountains (Morocco)
Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook
Blackboard systems for cognitive audition
Double-spending analysis of bitcoin
Performance degradation prediction of mechanical equipment based on optimized multi-kernel relevant vector machine and fuzzy information granulation
Do drones have a realistic place in a pandemic fight for delivering medical supplies in healthcare systems problems
Curiosity from the perspective of systems neuroscience
Vision statement: Interactive materials—Drivers of future robotic systems
Corecube: Core decomposition in multilayer graphs
Homomorphic encryption of supervisory control systems using automata
Indoor air quality monitoring systems for enhanced living environments: A review toward sustainable smart cities
Surprise: A python library for recommender systems
Consensus of multi-agent systems via fully distributed event-triggered control
Information-theoretic aspects of neural networks
How do interruptions affect user contributions on social commerce?
Identifying at-risk students based on the phased prediction model
Zero-Forcing Oriented Power Minimization for Multi-Cell MISO-NOMA Systems: A Joint User Grouping, Beamforming, and Power Control Perspective
Associations between two athlete monitoring systems used to quantify external training loads in basketball players
Topic modeling: a comprehensive review
Geometrical bounds of the irreversibility in Markovian systems
Sediment information on natural and anthropogenic-induced change of connected water systems in Chagan Lake, North China
BD-VTE: a novel baseline data based verifiable trust evaluation scheme for smart network systems
Cooperative CC–CV Charging of Supercapacitors Using Multicharger Systems
ECG monitoring systems: Review, architecture, processes, and key challenges
Estimating network effects in two-sided markets
Auditing news curation systems: A case study examining algorithmic and editorial logic in apple news
Extended dissipative sliding mode control for nonlinear networked control systems via event-triggered mechanism with random uncertain measurement
Enhancing transport properties in interconnected systems without altering their structure
Semi-automatic Eye Movement-Controlled Wheelchair Using Low-Cost Embedded System
Novel efficient RNN and LSTM-like architectures: Recurrent and gated broad learning systems and their applications for text classification
A survey of neural networks usage for intrusion detection systems
The development of stationary battery storage systems in Germany–A market review
Deep reinforcement learning for intelligent transportation systems: A survey
Code analysis for intelligent cyber systems: A data-driven approach
Smart management energy systems in industry 4.0
Trustworthiness in industrial IoT systems based on artificial intelligence
A grant-free random access scheme for M2M communication in massive MIMO systems
Responding to COVID-19: the UW medicine information technology services experience
Kypo4industry: A testbed for teaching cybersecurity of industrial control systems
Urban systems and the role of big data
Adjusting to epidemic-induced telework: empirical insights from teleworkers in France
GAN-driven personalized spatial-temporal private data sharing in cyber-physical social systems
A novel framework for backstepping-based control of discrete-time strict-feedback nonlinear systems with multiplicative noises
Blocksim: An extensible simulation tool for blockchain systems
Modeling and verification method for an early evaluation of Systems of Systems interactions
Path prediction in IoT systems through Markov Chain algorithm
6G wireless communication systems: Applications, requirements, technologies, challenges, and research directions
Multiple writer retrieval systems based on language independent dissimilarity learning
District energy systems: Challenges and new tools for planning and evaluation
Framework for managing the COVID-19 infodemic: methods and results of an online, crowdsourced WHO technical consultation
From panopticon to heautopticon: A new form of surveillance introduced by quantified‐self practices
Assessing Novelty and Systems Thinking in Conceptual Models of Technological Systems
A many-objective optimization WSN energy balance model
Blockchain-based identity management systems: A review
Performance Evaluation of Snort and Suricata Intrusion Detection Systems on Ubuntu Server
Author’s approach to the topological modeling of parallel computing systems
A comparative analysis of tax systems in Russia and Germany
Machine learning force fields and coarse-grained variables in molecular dynamics: application to materials and biological systems
Coordination and management of cloud, fog and edge resources in SDN-VANETs using fuzzy logic: a comparison study for two fuzzy-based systems
Fuzzy test model for performance evaluation matrix of service operating systems
Deep context modeling for multi-turn response selection in dialogue systems
An expert system gap analysis and empirical triangulation of individual differences, interventions, and information technology applications in alertness of railroad …
Application of intelligent multi agent based systems for E-healthcare security
Hidden fuzzy information: Requirement specification and measurement of project provider performance using the best worst method
Photoferroelectric Thin Films for Flexible Systems by a Three‐in‐One Solution‐Based Approach
A cloud-edge based data security architecture for sharing and analysing cyber threat information
Adaptive Observer-Based Output Regulation of Multiagent Systems With Communication Constraints
A fault diagnosis method for power transmission networks based on spiking neural P systems with self-updating rules considering biological apoptosis …
Understanding massively multiplayer online role‐playing game addiction: A hedonic management perspective
Interoperability and integration testing methods for IoT systems: A systematic mapping study
Proxy tasks and subjective measures can be misleading in evaluating explainable ai systems
Emptransfo: A multi-head transformer architecture for creating empathetic dialog systems
The case of performance variability on dragonfly-based systems
IT reliability and its influence on the results of controlling: comparative analysis of organizations functioning in Poland and Switzerland
Worker stress in the age of mobile technology: The combined effects of perceived interruption overload and worker control
Fair Outlier Detection
Evaluation framework for smart disaster response systems in uncertainty environment
Distributed bipartite tracking consensus of nonlinear multi-agent systems with quantized communication
A decentralized artificial immune system for solution selection in cyber–physical systems
I am Me: Brain systems integrate and segregate to establish a multidimensional sense of self
Impacts of COVID-19 on agricultural and food systems worldwide and on progress to the sustainable development goals
Resource-efficient neural networks for embedded systems
COVID-19: challenges to GIS with big data
Transparency in complex computational systems
Practical synchronization in networks of nonlinear heterogeneous agents with application to power systems
A framework for sustainable contact tracing and exposure investigation for large health systems
Cyber-physical systems research and education in 2030: Scenarios and strategies
Web-based digital twin modeling and remote control of cyber-physical production systems
Efficiency creep and shadow innovation: enacting ambidextrous IT Governance in the public sector
Performance Based Planning of complex urban social-ecological systems: The quest for sustainability through the promotion of resilience
Anomaly detection in smart homes using bayesian networks
Improving recommender systems using co-appearing and semantically correlated user interests
Security policies and implementation issues
Identification of instantaneous anomalies in general aviation operations using energy metrics
Reinforcement learning in sustainable energy and electric systems: A survey
Cultural influence on e-government development
Thermodynamic resources in continuous-variable quantum systems
Physical safety and cyber security analysis of multi-agent systems: A survey of recent advances
Quantum vs. classical information: operator negativity as a probe of scrambling
Dynamical and thermodynamical approaches to open quantum systems
Brain-inspired systems: A transdisciplinary exploration on cognitive cybernetics, humanity, and systems science toward autonomous artificial intelligence
Using semantic markup to boost context awareness for assistive systems
Authoritarianism, outbreaks, and information politics
Towards dynamic dependable systems through evidence-based continuous certification
Technologies and systems to improve mobility of visually impaired people: a state of the art
Clinical managers’ identity at the crossroad of multiple institutional logics in it innovation: The case study of a health care organization in England
Multi-agent direct current systems using renewable energy sources and hydrogen fuel cells
Interpretable confidence measures for decision support systems
Nonstationary control for TS fuzzy Markovian switching systems with variable quantization density
Mitigating the intrusive effects of smart home assistants by using anthropomorphic design features: A multimethod investigation
AoI-optimal joint sampling and updating for wireless powered communication systems
Machine learning based decision making for time varying systems: parameter estimation and performance optimization
A case study of agile software development for safety-Critical systems projects
The phishing funnel model: A design artifact to predict user susceptibility to phishing websites
Online display advertising markets: A literature review and future directions
Future prospects of information warfare and particularly psychological operations
Attacking machine learning systems
What is the relationship among positive emotions, sense of presence, and ease of interaction in virtual reality systems? An on-site evaluation of a commercial virtual …
Quantum computer systems for scientific discovery
Lizards in the Street! Introducing Cybersecurity Awareness in a Digital Literacy Context.
From microbial communities to distributed computing systems
Autonomous systems in anesthesia: Where do we stand in 2020? A narrative review
Balancing health privacy, health information exchange, and research in the context of the COVID-19 pandemic
Editor’s comments: The COVID-19 pandemic: Building resilience with IS research
Scenario-based development of intelligent transportation systems for road freight transport in Germany
Simulation in the design and operation of manufacturing systems: state of the art and new trends
Understanding adversarial attacks on deep learning based medical image analysis systems
Management of distributed energy systems on the basis of optimization methods and expert approaches
Breaking into the curriculum: The impact of information technology on schooling
Hybrid quantum systems with circuit quantum electrodynamics
The effects of high performance work systems in employees’ service-oriented OCB
Entanglement in indistinguishable particle systems
Integrated deep learning method for workload and resource prediction in cloud systems
Training or Synergizing? Complex Systems Principles Change the Understanding of Sport Processes
Intelligent forecasting with machine learning trading systems in chaotic intraday Bitcoin market
Effect of ground surface interpolation methods on the accuracy of forest attribute modelling using unmanned aerial systems-based digital aerial photogrammetry
The food systems in the era of the coronavirus (COVID-19) pandemic crisis
A qualitative content analysis of nurses’ comfort and employment of workarounds with electronic documentation systems in home care practice
From lurkers to workers: predicting voluntary contribution and community welfare
Formation-containment control of multi-robot systems under a stochastic sampling mechanism
Orbital angular momentum holography for high-security encryption
Using requirement-functional-logical-physical models to support early assembly process planning for complex aircraft systems integration
A flood risk assessment framework for interdependent infrastructure systems in coastal environments
Deepmaker: A multi-objective optimization framework for deep neural networks in embedded systems
A Framework for Risk Assessment in Collaborative Networks to Promote Sustainable Systems in Innovation Ecosystems
A survey on adversarial recommender systems: from attack/defense strategies to generative adversarial networks
Logistics Optimization of Agricultural Products Supply to the European Union Based on Modeling by Petri Nets
Perceived control and perceived risk in self-service technology recovery
Multisensorial generative and descriptive self-awareness models for autonomous systems
Distributed fusion filter for nonlinear multi-sensor systems with correlated noises
Improving the security of internet of things using cryptographic algorithms: A case of smart irrigation systems
Self-optimizing machining systems
EARL—Embodied agent-based robot control systems modelling language
MAMBA: A multi-armed bandit framework for beam tracking in millimeter-wave systems
Digital transformation of business ecosystems: Evidence from the Korean pop industry
Health care service delivery based on the Internet of things: A systematic and comprehensive study
A Genetic algorithm for multi-objective reconfiguration of balanced and unbalanced distribution systems in fuzzy framework
Selection of intermediate routes for secure data communication systems using graph theory application and grey wolf optimisation algorithm in MANETs
New closed-loop insulin systems
Realization of AI-enhanced industrial automation systems using intelligent Digital Twins
Shadow systems in assessment: how supervisors make progress decisions in practice
TREC-COVID: rationale and structure of an information retrieval shared task for COVID-19
Data driven approach to risk management and decision support for dynamic positioning systems
Enterprise systems in transition economies: research landscape and framework for socioeconomic development
Tensors and compositionality in neural systems
Towards byzantine-resilient learning in decentralized systems
Compositional systems: overview and applications
Electrical Systems and Mechatronics
Separable multi‐innovation stochastic gradient estimation algorithm for the nonlinear dynamic responses of systems
Object detection with low capacity GPU systems using improved faster R-CNN
Teaching Software Engineering for Al-Enabled Systems
Introduction to the Theory of Radiopolarimetric Navigation Systems
Spatial disparities in coronavirus incidence and mortality in the United States: an ecological analysis as of May 2020
The neural and computational systems of social learning
Sample complexity of kalman filtering for unknown systems
Modeling and assessing cyber resilience of smart grid using Bayesian network-based approach: a system of systems problem
Systems of neutrosophic linear equations
Performance-Driven Analysis for an Adaptive Car-Navigation Service on HPC Systems
Early warning systems in biosecurity; translating risk into action in predictive systems for invasive alien species
Internet of things in sustainable energy systems
A polynomial-membership-function approach for stability analysis of fuzzy systems
Designing for ambient UX: design framework for managing user experience within cyber-physical systems
NNV: The neural network verification tool for deep neural networks and learning-enabled cyber-physical systems
Big Spatiotemporal Data Analytics: A research and innovation frontier
Navigating the gender structure in information technology: How does this affect the experiences and behaviours of women?
Water electrolysers with closed and open electrochemical systems
A Generic Network Compression Framework for Sequential Recommender Systems
Indoor positioning and wayfinding systems: a survey
Improve three-dimensional point localization accuracy in stereo vision systems using a novel camera calibration method
Mapping with unmanned aerial vehicles systems: A Case Study of Nevsehir Haci Bektas Veli University Campus
An overview of perception and decision-making in autonomous systems in the era of learning
Work design in future industrial production: Transforming towards cyber-physical systems
Security in Telehealth Systems From a Software Engineering Viewpoint: A Systematic Mapping Study
Applying process mining and semantic reasoning for process model customisation in healthcare
The mediating influence of smartwatch identity on deep use and innovative individual performance
An infrastructure for embedded systems using task scheduling
Geographic information research: Bridging the Atlantic
Method towards discovering potential opportunity information during cross-organisational business processes using role identification analysis within complex social …
An optimization approach for deployment of intelligent transportation systems wrong-way driving countermeasures
Extensions of prioritized weighted aggregation operators for decision-making under complex q-rung orthopair fuzzy information
Automated guided vehicle systems, state-of-the-art control algorithms and techniques
Developing theory through integrating human and machine pattern recognition
Multi-dimensional well-being associated with economic dependence on ecosystem services in deltaic social-ecological systems of Bangladesh
Architecture and Security of SCADA Systems: A Review
Black-box control for linear dynamical systems
Biologically Inspired Visual System Architecture for Object Recognition in Autonomous Systems
Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model
Security modelling and formal verification of survivability properties: Application to cyber–physical systems
Influence function based data poisoning attacks to top-n recommender systems
Memory-based continuous event-triggered control for networked TS fuzzy systems against cyber-attacks
Rational Mutual Interactions in Ternary Systems Enable High‐Performance Organic Solar Cells
Augmenting the algorithm: Emerging human-in-the-loop work configurations
Information radiation in BCFT models of black holes
Learning to localize: A 3D CNN approach to user positioning in massive MIMO-OFDM systems
Anesthetic management using multiple closed-loop systems and delayed neurocognitive recovery: a randomized controlled trial
Many Exciplex Systems Exhibit Organic Long‐Persistent Luminescence
Identification and categorization of factors affecting duration of post-disaster reconstruction of interdependent transportation systems
Singularity-free fixed-time fuzzy control for robotic systems with user-defined performance
Integration of digital twin and deep learning in cyber‐physical systems: towards smart manufacturing
HRM systems and employee affective commitment: the role of employee gender
Resilience for smart water systems
Architectural Models Enabled Dynamic Optimization for System-of-Systems Evolution
An effective method of systems requirement optimization based on genetic algorithms
Monitoring of farm-level antimicrobial use to guide stewardship: overview of existing systems and analysis of key components and processes
Using a ‘rich picture’to facilitate systems thinking in research coproduction
Deep reinforcement learning for the real time control of stormwater systems
Systems-based strategies to consider treatment costs in clinical practice
Vibrational mono-/bi-resonance and wave propagation in FitzHugh–Nagumo neural systems under electromagnetic induction
Digital twins in smart farming
Improved depth resolution and depth-of-field in temporal integral imaging systems through non-uniform and curved time-lens array
A blockchain use case in food distribution: Do you know where your food has been?
Determinants of cloud ERP adoption in Jordan: an exploratory study
The progress of multi-omics technologies: determining function in lactic acid bacteria using a systems level approach
Towards high performance living manufacturing systems-A new convergence between biology and engineering
Enterprise architecture implementation as interpersonal connection: Building support and commitment
Political communication on social media: A tale of hyperactive users and bias in recommender systems
PEtab—Interoperable specification of parameter estimation problems in systems biology
Architecting business process maps
An elliptic curve cryptography based enhanced anonymous authentication protocol for wearable health monitoring systems
Highly-scalable traffic management of autonomous industrial transportation systems
Healthcare informatics and analytics in big data
Real-time incident prediction for online service systems
IoT-based smart irrigation systems: An overview on the recent trends on sensors and IoT systems for irrigation in precision agriculture
Fault-tolerant GNSS/SINS/DVL/CNS integrated navigation and positioning mechanism based on adaptive information sharing factors
Criticality evaluation to support maintenance management of manufacturing systems
Metamodelling in the information field
A Study of Accelerometer and Gyroscope Measurements in Physical Life-Log Activities Detection Systems
Coronavirus infections reported by ProMED, february 2000–january 2020
Digital healthcare: The only solution for better healthcare during COVID-19 pandemic?
Putting Teacher Evaluation Systems on the Map: An Overview of State’s Teacher Evaluation Systems Post-Every Student Succeeds Act.
The role of surrogate models in the development of digital twins of dynamic systems
Investigating potential factors associated with gender discrimination in collaborative recommender systems
New results on stabilization analysis for fuzzy semi-Markov jump chaotic systems with state quantized sampled-data controller
Detecting semantic bugs in autopilot software by classifying anomalous variables
Probabilistic framework to evaluate the resilience of engineering systems using Bayesian and dynamic Bayesian networks
Blockchain and machine learning for communications and networking systems
Advancing remote healthcare using humanoid and affective systems
Memory-event-trigger-based secure control of cloud-aided active suspension systems against deception attacks
Pollution potential and causative hydrogeochemical processes in unconfined aquifer systems in a typical urban setting: emphasis on recharge and discharge …
Data impact analysis in business processes
Coherence of accounting systems: transcendence of content and immunity of purpose
Sensor technologies for fall detection systems: A review
The combination of e-bike-sharing and demand-responsive transport systems in rural areas: A case study of Velenje
Convexified contextual optimization for on-the-fly control of smooth systems
Low-complexity channel estimation for circular and noncircular signals in virtual MIMO vehicle communication systems
Bipartite consensus for networked robotic systems with quantized-data interactions
Recursive parameter estimation methods and convergence analysis for a special class of nonlinear systems
L₁ control of positive semi-Markov jump systems with state delay
Brief survey on attack detection methods for cyber-physical systems
Information disclosure structure in supply chains with rental service platforms in the blockchain technology era
Extracting maritime traffic networks from AIS data using evolutionary algorithm
A time and energy saving-based frame adjustment strategy (TES-FAS) tag identification algorithm for UHF RFID systems
Automated systems for perioperative goal-directed hemodynamic therapy
Optimal estimation of low-rank factors via feature level data fusion of multiplex signal systems
The impact of COVID‐19 on food systems, safety, and security—a symposium report
Policy-driven neural response generation for knowledge-grounded dialogue systems
Event-based fault-tolerant control for networked control systems applied to aircraft engine system
Cyberphysical systems in the smart city: challenges and future trends for strategic research
High-power portable terahertz laser systems
Flourishing Systems Re-envisioning Infrastructure as a Platform for Human Flourishing
Event-triggered adaptive fuzzy control for stochastic nonlinear systems with unmeasured states and unknown backlash-like hysteresis
Self-testing of quantum systems: a review
Synthesizing Systems Biology Knowledge from Omics Using Genome‐Scale Models
Effective construction of classifiers with the k-NN method supported by a concept ontology
Towards a framework for capturing interpretability of hierarchical fuzzy systems-a participatory design approach
Trade-offs in online advertising: Advertising effectiveness and annoyance dynamics across the purchase funnel
Factors propelling the adoption of internet banking: the role of e-customer service, website design, brand image and customer satisfaction
MAPCAST: an Adaptive Control Approach using Predictive Analytics for Energy Balance in Micro-Grid Systems
Scalable reinforcement learning of localized policies for multi-agent networked systems
Spatial sparsity based secure transmission strategy for massive MIMO systems against simultaneous jamming and eavesdropping
Clustering-aided multi-view classification: A case study on Android malware detection
Analyzing situational awareness through public opinion to predict adoption of social distancing amid pandemic COVID‐19
Amino acids in freshwater food webs: Assessing their variability among taxa, trophic levels, and systems
How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems
Integration of building service systems in architectural design.
Detailed Assessment of Embodied Carbon of HVAC Systems for a New Office Building Based on BIM
A risk perception analysis on the use of electronic payment systems by young adult
Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic
Improving the performance of process discovery algorithms by instance selection
3D digital impression systems compared with traditional techniques in dentistry: A recent data systematic review
Information technology law
Combating COVID-19—The role of robotics in managing public health and infectious diseases
A survey on filtering issues for two-dimensional systems: Advances and challenges
Performance evaluation for manufacturing systems under control-limit maintenance policy
6G and beyond: The future of wireless communications systems
Models for the development of multi-level gas supply systems
Security control of cyber-physical switched systems under round-robin protocol: input-to-state stability in probability
A compilation of UAV applications for precision agriculture
Hybrid Reciprocal Recommender Systems: Integrating Item-to-User Principles in Reciprocal Recommendation
The need to reconcile concepts that characterize systems facing threats
Torque and rotational speed sensor based on resistance and capacitive grating for rotational shaft of mechanical systems
The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases
Big data and business analytics: A research agenda for realizing business value
Extended dissipativity asynchronous static output feedback control of Markov jump systems
Markov blankets, information geometry and stochastic thermodynamics
Football-specific validity of TRACAB’s optical video tracking systems
An approach based on mutually informed neural networks to optimize the generalization capabilities of decision support systems developed for heart failure prediction
Performance limits for fingerprinting-based indoor optical communication positioning systems exploiting multipath reflections
Akhmedjanov Karimjon Normative and methodological regulation of internal audit in the Republic of Uzbekistan
Disturbance-observer based consensus of linear multi-agent systems with exogenous disturbance under intermittent communication
LIMITS: Lightweight machine learning for IoT systems with resource limitations
Network device workload prediction: A data mining challenge at knowledge pit
Performance optimization of IoT based biological systems using deep learning
Spatial-temporal data-driven service recommendation with privacy-preservation
Stochastic Transceiver Optimization in Multi-Tags Symbiotic Radio Systems
Industrial cyber-physical systems-based cloud IoT edge for federated heterogeneous distillation
Industry 4.0 and the human factor–A systems framework and analysis methodology for successful development
Intelligent traffic control for autonomous vehicle systems based on machine learning
Dynamic pilot allocation scheme for joint user grouping and alliance game in massive MIMO systems
Comparing rapid scoring systems in mortality prediction of critically ill patients with novel coronavirus disease
Innovative IT use and innovating with IT: A study of the motivational antecedents of two different types of innovative behaviors
Joint multi-innovation recursive extended least squares parameter and state estimation for a class of state-space systems
Achievable rate optimization for MIMO systems with reconfigurable intelligent surfaces
Principles and practice of management
Probing effective wetting in subsurface systems
Structural Systems Theory: an overview of the last 15 years
Multidisciplinary and multifidelity framework for evaluating system-of-systems capabilities of unmanned aircraft
CSI feedback overhead reduction for 5g massive mimo systems
Channel estimation for extremely large-scale massive MIMO systems
Learning systems: Managing uncertainty in the new normal of COVID-19
Smart Collaborative Balancing for Dependable Network Components in Cyber-Physical Systems
State Machine Fault Protection Architecture for Aerospace Vehicle Guidance, Navigation, and Control
Optimizing ontology alignment in vector space
Intelligent and connected cyber-physical systems: A perspective from connected autonomous vehicles
Do‐it‐yourself closed‐loop systems for people living with type 1 diabetes
Development of a novel tool to support engagement with continuous glucose monitoring systems and optimize outcomes
BLCS: Brain-like based distributed control security in cyber physical systems
Speckle denoising techniques in imaging systems
Secure transmission designs for NOMA systems against internal and external eavesdropping
Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control
Learning paradigms for communication and computing technologies in IoT systems
Thermodynamic uncertainty relation for general open quantum systems
Big Data analytics and Computational Intelligence for Cyber–Physical Systems: Recent trends and state of the art applications
Gait-based identification for elderly users in wearable healthcare systems
Coronavirus Disease 2019 (COVID-19): Interim Guidance for Emergency Medical Services (EMS) Systems and 911 Public Safety Answering Points (PSAPs) for …
Cyber-Physical Systems and Reliability Issues
Prediction of users’ professional profile in moocs only by utilising learners’ written texts
A roadmap to integrate astrocytes into Systems Neuroscience
COVID-19 and dengue, co-epidemics in Ecuador and other countries in Latin America: pushing strained health care systems over the edge
Actual issues of electronic commerce development in the republic of Uzbekistan
Thoughts on Using Systems Thinking to Develop Chemistry Students’ Professional Skills
Omics in systems biology: Current progress and future outlook
Robust beamforming design for intelligent reflecting surface aided MISO communication systems
Automated License Plate Recognition using Existing University Infrastructure and Different Camera Angles
Public budgeting systems
Fuzzy adaptive finite-time fault-tolerant control for strict-feedback nonlinear systems
Volt-VAR-Pressure Optimization of Integrated Energy Systems with Hydrogen Injection
Tracking urban geo-topics based on dynamic topic model
Detection of probe flow anomalies using information entropy and random forest method
Exploring the rhetoric of international professional communication: An agenda for teachers and researchers
A synergic framework for cyber-physical production systems in the context of Industry 4.0 and beyond
Electronic medical record systems: Decision support examination framework for individual, security and privacy concerns using multi-perspective analysis
Self-assembled extended π-systems for sensing and security applications
River toxicity assessment using molecular biosensors: Heavy metal contamination in the Turag-Balu-Buriganga river systems, Dhaka, Bangladesh
A novel adaptive fuzzy control for output constrained stochastic non-strict feedback nonlinear systems
Assessment Modeling: Fundamental Pre-training Tasks for Interactive Educational Systems
Fault detection for uncertain LPV systems using probabilistic set-membership parity relation
Information scrambling and loschmidt echo
Event-triggered fuzzy bipartite tracking control for network systems based on distributed reduced-order observers (revised manuscript of TFS-2019-1049)
Students’ use of learning management systems and desired e-learning experiences: are they ready for next generation digital learning environments?
Theoretical and experimental possibilities to set up some sensors systems involved in active safety process
Hyperparameter optimization in CNN for learning-centered emotion recognition for intelligent tutoring systems
Diet: Lightweight language understanding for dialogue systems
Clarify the physical process for fractional dynamical systems
Enterprise system lifecycle-wide innovation
Coverage, probability of SNR gain, and DOR analysis of RIS-aided communication systems
Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model
Neurobiology of systems memory consolidation
Use of apps in the COVID-19 response and the loss of privacy protection
Using the Systems Engineering Initiative for Patient Safety (SEIPS) model to describe critical care nursing during the SARS‐CoV‐2 pandemic (2020)
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?
Robust finite-time fault-tolerant control for networked control systems with random delays: A Markovian jump system approach
Quantifying the impacts of climate change and extreme climate events on energy systems
Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization
A prospect theory-based QUALIFLEX for uncertain linguistic Z-number multi-criteria decision-making with unknown weight information
IBM Q Experience as a versatile experimental testbed for simulating open quantum systems
From smart farming towards agriculture 5.0: A review on crop data management
Optimal control in partially observable complex social systems
Determinant Factors’ Impact on Managerial Performance through Management Accounting Systems in Indonesia
Q (λ) learning-based dynamic route guidance algorithm for overhead hoist transport systems in semiconductor fabs
On course, but not there yet: Enterprise architecture conformance and benefits in systems development
Robust machine learning systems: Challenges, current trends, perspectives, and the road ahead
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
Securing internet of medical things systems: limitations, issues and recommendations
Bridging entanglement dynamics and chaos in semiclassical systems
A survey of IoT applications in blockchain systems: Architecture, consensus, and traffic modeling
Compositional cyber-physical systems modeling
Photocatalytic and photoelectrochemical systems: similarities and differences
Modelling net-zero emissions energy systems requires a change in approach
Augmenting traffic signal control systems for urban road networks with connected vehicles

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Information Retrieval Research Topics for MS PhD
information visualization Research Topics Ideas [MS PhD]
Wireless Systems Research Topics ideas for MS PhD
Power Systems Research Topics Ideas for MS/PhD
Information Systems topics for presentation
Syllabus and MCQs of PPSC INFORMATION OFFICER IN INFORMATION & CULTURE DEPARTMENT

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78 MIS Topics for Presentations and Essays

🏆 best management information systems project ideas, 🎓 interesting topics related to information systems, ✅ simple & easy mis assignment topics.

Samsung Company’s Management Information System The scope of Management Information System is defined as, “The combination of human and computer based resources that results in the collection, storage, retrieval, communication and use of data for the purpose of efficient management […]
Management Information Systems: Making Strategic Decisions The company will create a model of the relationship between all the pieces of information in the group. In this regard, the organization employs MISs in order to complete and integrate a series of elements […] We will write a custom essay specifically for you by our professional experts 808 writers online Learn More
Management Information Systems Types: Functions and Importance A TPS is vital in managing the system resources as it maintains a pool of operating resources that are used in transaction processing, application program loading, and acquiring and releasing storage.
The Role of Management Information System (MIS) in Business The diagram below shows the relationship between the departments and underpins how the manual system which is used to conduct the primary and secondary activities within the departments is related to the performance of each […]
Management Information Systems Analysis and Design The progress of this project will be based on a simple definition of a management information system which would be: a computer based system that provides flexible and speedy access to accurate data.
ABC Company Management Information System Increasing the presence of the firm’s products to specific segments of clients provides the customers with seamless shopping experience in the business’s physical and online stores.
Management Information Systems Benefits in Business This has helped this firm to achieve competitive advantage in the market because it is always aware of the needs of its customers. To manage this threat, ABC has discounted and differentiated its products in […]
Management Information Systems and E-Government In the developing countries, it has been of much surprise to notice that, the failures of e-government project, is a problem that is real and much practical.
Management Information System: Cisco Systems Prior to the implementation of the ERP system, the company’s systems were on the brink of failure. The management of the company understood the need for the company to shift to a new ERP system.
Management Information Systems in Organizational Performance The information system has enabled the organisation to solve problems like inappropriate use of time, increased expenditure, and customer dissatisfaction. Management information system is an important tool that can be used to shift the cost […]
Management Information System Implementation in the Bank This conforms to the first principle of change in which a person is adjusted via a change in the system that they work in.
Management Information Systems: Socio-Technical Aspect Software: This component stands for programs that are used to operate the MIS, manage data, search and cipher through logs, and other related activities.
Health Management Information Systems: Impact on the Technology Implementation Since the beginning of the information systems implementation, the vast majority of spheres have adopted some cutting-edge technologies to increase the effectiveness of their working process.
Management Information Systems (MIS) The advances in the evolution of devices and the achievement of a new stage of development critically impacts MIS and creates the basis for the emergence of multiple changes towards the achievement of better outcomes […]
Chalhoub Group: Management Information Systems This presentation will focus on one organization in UAE, highlighting how its improved IS/IT systems have helped it register massive profits.
Healthcare Management Information Systems: Working Principles For instance, the ministry of health uses the network to disseminate health information to people in all regions and also globally.
Healthcare Management Information Systems: An Evaluation In this perspective, the Chief Information Officer survey therefore becomes important for the Health Management Information System industry because it assist health institutions to project current and future informational and technological needs, not mentioning the […]
Accounting and Management Information Systems This article is a discussion of the results obtained by Mangiuc in an empirical study that involved both local and foreign companies in Romania.
Management Information Systems: Primis Online System at McGraw Hill This paper focuses on the analysis, design and system development elements applied by the Primis team in deployment of the online system at McGraw Hill.
Imperial Tobacco. Management Information System – Competitive Forces This means that the management at Imperial Tobacco needs to develop products that can compete with the new products for them to maintain their position in the market.
Management Information Systems: Ethics and Career Path The second one is the group of skills necessary to vivificate information, and the last one is meant to reason in a proper.
Management Information System and Outsourcing According to these critics, there is a need for some of the currently outsourced services to be performed in the home country.
“Management Information Systems” by James O’Brien and George M. Marakas This is a network or sub-network with a high speed that interconnects different types of data storage devices that have associated data servers on behalf of a larger network of users. Through this, data can […]
Management Information Systems and Its Impacts As thus, it is the obligation of the employees so see to it that they acquire the necessary knowledge and skills; otherwise, they will be washed out of the company system.
Management Information Systems: Efficiency and Collaboration In addition, it is important to stress out that Microsoft Access allows a more flexible retrieval of data even when the volume of data gets high.
Fly Dubai Company’s Management Information Systems Data from the company’s website and its associated pilot training website outline the main sources of primary information. Identity refers to the ease that websites explain the nature, history, and values of a company.
Relevant Decision Making: Management Information Systems in Organizations In this respect, managers are likely to make wrong decisions, especially, if they are unaware of the inaccuracy of the information provided by the system.
Management Information System and Strategic Performance According to his assumption, the higher the demographic diversity in top management team, the greater the contribution of accounting system to strategic performance.
Management Information Systems in Corporate Institutions With the invention of personal computers and other information technology tools, the companies had to develop a proper information technology system that would handle the work of the organization and reduce the errors that were […]
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IvyPanda. (2023, November 30). 78 MIS Topics for Presentations and Essays. https://ivypanda.com/essays/topic/management-information-systems-essay-topics/

"78 MIS Topics for Presentations and Essays." IvyPanda , 30 Nov. 2023, ivypanda.com/essays/topic/management-information-systems-essay-topics/.

IvyPanda . (2023) '78 MIS Topics for Presentations and Essays'. 30 November.

IvyPanda . 2023. "78 MIS Topics for Presentations and Essays." November 30, 2023. https://ivypanda.com/essays/topic/management-information-systems-essay-topics/.

1. IvyPanda . "78 MIS Topics for Presentations and Essays." November 30, 2023. https://ivypanda.com/essays/topic/management-information-systems-essay-topics/.

Bibliography

IvyPanda . "78 MIS Topics for Presentations and Essays." November 30, 2023. https://ivypanda.com/essays/topic/management-information-systems-essay-topics/.

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Research: How Ratings Systems Shape User Behavior in the Gig Economy

Arne De Keyser,
Christophe Lembregts,
Jeroen Schepers

A study reveals surprising differences between displaying an average score or individual reviews.

Platform providers typically display ratings information to the user in two ways. Incremental rating systems, employed by platforms like TaskRabbit and Airbnb, offer a detailed view by listing and often providing insights into every individual review score. Averaged rating systems, used by platforms such as Uber, Lyft, and DoorDash, present an overall score that aggregates all individual ratings. Over a series of nine experiments, researchers found that the way low ratings are communicated shapes user experience and behavior in a number of ways. Their findings offer implications for companies choosing between incremental or average ratings systems.

Rating systems, integral to the platform economy, profoundly influence human behavior and choice. Platforms like Uber, Airbnb, Turo, and Upwork rely on these systems not just as reflections of past performance, but as proactive tools for ensuring quality and encouraging proper conduct on both sides of a transaction from service providers (such as drivers and hosts) and users (like riders and guests).

AK Arne De Keyser is a professor of marketing at EDHEC Business School. His research focuses on customer experience, frontline service technologies, and circular services.
CL Christophe Lembregts is an associate professor of marketing at RSM Erasmus University. His research focuses on facilitating informed decision-making by investigating responses to quantitative information.
JS Jeroen Schepers is an associate professor of frontline service and innovation at Eindhoven University of Technology. His research centers on frontline employees, artificial intelligence, and service robots.

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University News

Cutting-edge computing the focus of researcher’s $600,000 National Science Foundation award

Published April 16, 2024

Cutting-edge computing focus of UL Lafayette researcher Najafi's $600,000 National Science Foundation award

Traditional computing faces a critical bottleneck hindering its evolution toward more efficient and powerful systems. Dr. Hassan Najafi, an assistant professor in UL Lafayette’s School of Computing and Informatics and a leading expert in computational science, developed an innovative solution poised to reshape the landscape of computing as we know it.

Najafi recently received one of the National Science Foundation’s most prestigious awards – the Faculty Early Career Development Award. This award acknowledges a faculty member’s potential as a researcher and a teacher. As part of the award, Najafi will receive a nearly $600,000 grant over several years to fund his research on conventional computing systems and improvements to these systems. Conventional computing systems struggle with the costly and time-consuming transfer of data between memory and processing units. This inefficiency not only drains energy but also hampers processing speed, particularly in data-driven applications. Termed the "Von Neumann bottleneck," this limitation stifles the potential development of groundbreaking computational systems.

Enter In-Memory Computation (IMC), also known as Processing in Memory (PIM). This paradigm shift offers a promising solution to the data movement dilemma. However, the reliability issues inherent in emerging memory devices pose significant challenges, often leading to computation errors.

To address these challenges, Najafi’s research proposes combining the strengths of Unary Computing (UC) – an emerging paradigm offering simplicity in executing complex operations and high immunity to noise – with IMC to form UCoM, a groundbreaking framework for implementing UC in memory.

“UCoM boasts unparalleled performance, energy efficiency, and robustness across various tasks. Its highly parallel nature scales seamlessly with computation size, supporting a wide array of essential arithmetic operations entirely in memory,” said Najafi. “UCoM promises substantially higher performance and significantly lower energy consumption compared to conventional computing systems.”

Moreover, this project extends its impact beyond technical innovation. The project includes a comprehensive educational and outreach plan, engaging students from diverse backgrounds in emerging computing technologies. It aims to train the next generation of computational scientists while disseminating project outcomes for free public access. Furthermore, partnerships with industry stakeholders seek to commercialize these innovations, driving real-world impact and adoption.

“Dr. Najafi’s research including UCoM represents a significant step towards the realization of high-performance computing systems with brain-like efficiency and power. By embedding unary computing in memory, this groundbreaking framework heralds a new era of energy efficient and fast computational systems,” said Dr. Azmy Ackleh, dean of the Ray P. Authement College of Sciences.

Najafi is the 10th recipient of the prestigious CAREER award in the College of Sciences. Ackleh noted this demonstrates the college’s continued success in recruiting high-caliber faculty and its contributions to making the University a Research 1 top-tier university. Only 3% of public and private institutions in the United States have earned this designation by the Carnegie Classification of Institutions of Higher Education.

The NSF is an independent federal agency. It provides funds for nearly a quarter of all federally supported research American colleges and universities conduct. NSF first presented the CAREER Award in 1995. Photo caption: Dr. Hassan Najafi, assistant professor in UL Lafayette’s School of Computing and Informatics and recipient of the National Science Foundation’s prestigious Faculty Early Career Development Award. Courtesy photo

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Open access
Published: 16 April 2024

Using a priority setting exercise to identify priorities for guidelines on newborn and child health in South Africa, Malawi, and Nigeria

Solange Durão ORCID: orcid.org/0000-0001-7028-2638 1 ,
Emmanuel Effa 2 ,
Nyanyiwe Mbeye 3 ,
Mashudu Mthethwa 2 ,
Michael McCaul 4 ,
Celeste Naude 4 ,
Amanda Brand 4 ,
Ntombifuthi Blose 1 ,
Denny Mabetha 1 ,
Moriam Chibuzor 2 ,
Dachi Arikpo 2 ,
Roselyn Chipojola 3 ,
Gertrude Kunje 3 ,
Per Olav Vandvik 5 , 6 ,
Ekpereonne Esu 2 ,
Simon Lewin 7 &
Tamara Kredo 2 , 4

Health Research Policy and Systems volume 22 , Article number: 48 ( 2024 ) Cite this article

Metrics details

Sub-Saharan Africa is the region with the highest under-five mortality rate globally. Child healthcare decisions should be based on rigorously developed evidence-informed guidelines. The Global Evidence, Local Adaptation (GELA) project is enhancing capacity to use global research to develop locally relevant guidelines for newborn and child health in South Africa (SA), Malawi, and Nigeria. The first step in this process was to identify national priorities for newborn and child health guideline development, and this paper describes our approach.

We followed a good practice method for priority setting, including stakeholder engagement, online priority setting surveys and consensus meetings, conducted separately in South Africa, Malawi and Nigeria. We established national Steering Groups (SG), comprising 10–13 members representing government, academia, and other stakeholders, identified through existing contacts and references, who helped prioritise initial topics identified by research teams and oversaw the process. Various stakeholders were consulted via online surveys to rate the importance of topics, with results informing consensus meetings with SGs where final priority topics were agreed.

Based on survey results, nine, 10 and 11 topics were identified in SA, Malawi, and Nigeria respectively, which informed consensus meetings. Through voting and discussion within meetings, and further engagement after the meetings, the top three priority topics were identified in each country. In SA, the topics concerned anemia prevention in infants and young children and post-discharge support for caregivers of preterm and LBW babies. In Malawi, they focused on enteral nutrition in critically ill children, diagnosis of childhood cancers in the community, and caring for neonates. In Nigeria, the topics focused on identifying pre-eclampsia in the community, hand hygiene compliance to prevent infections, and enteral nutrition for LBW and preterm infants.

Conclusions

Through dynamic and iterative stakeholder engagement, we identified three priority topics for guideline development on newborn and child health in SA, Malawi and Nigeria. Topics were specific to contexts, with no overlap, which highlights the importance of contextualised priority setting as well as of the relationships with key decisionmakers who help define the priorities.

Peer Review reports

Globally, more than half of all deaths in children and youth in 2019 were among children under 5 years [ 1 ]. It is estimated that there are 5.2 million deaths among under-fives each year, with Sub-Saharan Africa (SSA) having the highest mortality rate [ 2 ]. Most countries in SSA are not on track to meet maternal and child health targets set by Sustainable Development Goal 3 to ‘ensure healthy lives and promote wellbeing’, specifically the target of 25 or fewer deaths per 1000 live births [ 1 ]. As of December 2021, under-five mortality rates were reported as 113.8, 38.6 and 32.2 deaths per 1000 live births for Nigeria, Malawi and South Africa respectively [ 3 ]. Factors accounting for regional disparities in child mortality rates include poverty, socioeconomic inequities, poor health systems, and poor nutrition, with disease outbreaks adding substantially to the burden [ 4 ].

Addressing these issues requires an evidence-informed approach to ensure that scarce resources are used effectively and efficiently, avoid harm, maximise benefits, and improve healthcare delivery and outcomes [ 5 , 6 , 7 ]. Evidence-informed practices have been growing in SSA [ 5 ], and include the use of recommendations from clinical practice guidelines that are intended to optimise patient care or public health practice [ 8 ]. Guidelines bridge the gap between research evidence and practice and are recognised as important quality-improvement tools that aim to standardise care, inform funding decisions, and improve access to care, amongst others.

The development of evidence-informed, trustworthy guidelines from scratch—also known as de novo guideline development—is a resource-intensive and time-consuming process [ 9 ]. However, guideline developers can adopt or adapt existing recommendations from guidelines developed in other settings, to make the process more efficient while maintaining transparency and minimising waste and duplication [ 10 , 11 , 12 , 13 ]. For example, the World Health Organisation (WHO) produces high-quality global-level guidelines, which may be adopted and implemented in a member country or, alternatively, adapted for that context. Guidelines can be adopted when there is no need to change the recommendation, the evidence base, or how it is implemented in a local setting while considering factors such as cost, workforce, health systems, management options and access to care [ 10 ]. They can also be adapted when there is a need to modify a guideline(s) or recommendation(s) produced in one cultural and organisational setting for application in a different context [ 10 ]. However, adaptation of such guidelines to national contexts is often not well described [ 14 ]. An evaluation of experiences of guideline adaptation across WHO regions found that adaptation is understood and implemented in a variety of ways across countries [ 15 ].

Furthermore, reporting of guidelines in the African context is usually below global standards, specifically regarding their rigor of development. Kredo and colleagues reviewed Southern African Development Community (SADC) guidelines on five specific diseases published between 2003 and 2010 and besides poor reporting they found that guidelines needed broader stakeholder involvement and greater transparency [ 16 ]. Scoping reviews of newborn and child health guidelines in South Africa, Malawi and Nigeria published between 2017 and 2022 and of pre-hospital clinical guidance in sub-Saharan Africa found that the methods and reporting of the identified guidelines do not adhere to global standards [ 17 , 18 ].

In terms of priority setting processes for guideline development in African settings, little information is available. A scoping review of studies describing prioritization exercises published up to July 2019 did not identify any studies from African countries, with most studies being from Europe [ 19 ]. There is thus room for strengthening and supporting guideline development and adaptation in SSA, including the initial priority setting for those guidelines.

The Global Evidence, Local Adaptation (GELA) project focuses on addressing some of these gaps, including improving guideline development processes in SSA. The project aims to maximise the impact of research on poverty-related diseases by enhancing decision makers’ and researchers' capacity to use global research, including existing high-quality global guidelines, to develop locally relevant guidelines for newborn and child health in three sub-Saharan Africa countries: South Africa (SA), Malawi and Nigeria. The first step of this project was to identify priorities for newborn and child health guideline development in each country, and this paper aims to describe our approach.

Priority setting methods

Priority setting is an important step in guideline development [ 9 ]. It enables the identification of the most important issues through an iterative, inclusive and explicit process [ 7 , 20 ], and ensures efficient resource use by identifying topics for which guidelines are truly needed [ 19 , 21 ].

A variety of methods and approaches for priority setting for research and for guidelines have been used in the literature but there is no existing gold standard method for priority setting [ 19 , 22 ]. Researchers have analysed priority setting exercises and proposed good practice principles that can be followed during such exercises [ 22 , 23 ]. These principles, or elements, of priority setting are linked to the different stages in the process: pre-prioritisation, prioritisation, and post-prioritisation stages, as described in Fig. 1 [ 19 , 22 , 23 , 24 , 25 ]. In the pre-prioritisation stage, they include (i) involving internal and external stakeholders in the decision-making process, (ii) use of an explicit and transparent process, (iii) information management, (iv) consideration of values and context in which the priorities are being set, including those of stakeholders, staff and patients, and (v) planning for implementation, i.e. planning for translation of the priorities into practice. In the prioritization stage they include (i) using relevant criteria to identify priorities and (ii) choosing a method to decide on priorities, which could be consensus-based, such as the 3D Combined Approach Matrix (CAM), or metric-based approaches, such as the Child Health and Nutrition Research Initiative (CHNRI) approach [ 26 ]. In the post-prioritisation phase, they include (i) an evaluation of the priority setting process, and (sii) putting in place mechanisms for reviewing decisions.

Elements of each priority setting stage (adapted from El-Harakeh 2020, Jo 2015, Sibbald 2009, Tong 2019, Viergever 2010)

We followed good practice priority setting method, as described above. Our approach included a pre-prioritisation stage to identify potential priority topics through stakeholder engagement and review of the literature, and a prioritisation stage for consultation and finalisation of the priority topics through online surveys and consensus meetings, using specific criteria (Fig. 2 ). Country teams were responsible for implementing each step in their respective countries and any differences in the process due to practical or other factors within the three countries were captured as part of the documentation of the process.

Overview of priority setting approach overview

Pre-prioritization

Stakeholder identification and engagement.

We engaged with two different pre-specified groups. The first were the members of the Guideline steering group set up in each GELA project country. Up to 13 individuals were identified and invited to participate from the relevant national departments or ministries of health, professional associations, country-level WHO offices, and any other individuals suggested by these bodies in each country. They were identified through existing contacts of the researcher team within national departments of health responsible for guideline development and working within newborn and child health area, with whom they had worked before. These individuals then also made suggestions of other members from other stakeholder groups such as academia, non-governmental organisations, etc., who worked in the field of newborn and child health. The steering group provided initial suggestions of priority topics, made the final decisions regarding which to prioritise, and provided general oversight and technical advice on the in-country implementation of the project.

The second stakeholder group was broader and included individuals or organisations who are involved, can affect or are affected by national decisions or actions related to priority topics in the field of newborn or child health in sub-Saharan Africa [ 27 , 28 ]. These included policymakers, guideline developers, health professionals, civil society representatives, patient advocacy groups as well as WHO Afro representatives, specifically those linked to potential priority topics identified. To identify them, we carried out a stakeholder mapping exercise, which included reviewing secondary data, such as existing guidance and publications and searching the websites of ministries of health, relevant professional associations, universities, NGOs and civil society groups. The national GELA Guideline Steering group members also made suggestions. This process was guided by the stakeholder power-interest matrix where those who have the most influence, and capacity to change practice for impact were prioritised and invited [ 29 ]. Participants were invited, via email, to complete a priority setting survey.

Identifying a long list of topics

We generated an initial long list of potential priority topics through (i) reviewing existing and planned WHO guidelines on newborn and child health, from which potential topics were extracted based on existing recommendations; (ii) consulting with the GELA guideline Steering Group; and (iii) reviewing the disease burden/technical data related to newborn and child health in each country, which was identified through targeted literature searches. WHO guidelines were used as a starting point as these are prepared following rigorous methods and are intended for implementation across the various member countries. Potential topics were organised according to the disease/condition being addressed and the type of intervention (e.g., diagnosis, prevention, treatment, or rehabilitation), and were collated into a spreadsheet or word document.

Prioritization stage

Online survey.

The potential topics identified in the first phase were included in online surveys with stakeholders. We first user-tested the survey among the GELA project team to ensure it was readable and understandable. We then invited all identified stakeholders, via email, to complete the survey developed using REDCap [ 30 ]. In Nigeria, the survey invitation was also circulated via WhatsApp to specific stakeholders. In the invitation emails, we also asked stakeholders to forward the email to any colleagues that may have an interest in the topic.

The landing page of the survey provided information about the study’s purpose, that it was a collaboration with the national department/ministries of health, what we were asking participants to do, and a link for more details about the GELA project, after which participants were required to provide consent before they could complete the survey. The survey asked respondents to rate the listed topics according to five criteria (Box 1 ) using a 6-point Likert scale (6—very critical and 1—not important at all) [ 22 , 31 ]. The criteria used were identified through a survey conducted with the GELA research team in which they rated the top five criteria of 22 criteria for priority setting for guidelines identified by El Harakeh et al. [ 32 ]. An explanation for each criterion was provided in the survey. Originally, we had intended that stakeholders would rate each topic according to each criterion, but we asked instead that they consider the five criteria as a whole when rating a topic. We decided that this approach was less onerous for survey respondents and less likely to lead to poor response rates. Topics rated as being of ‘critical importance’ and ‘very critical importance’ were selected for presentation at the consensus meetings with the Steering Group. The first part of the survey also collected demographic information such as type of stakeholders, what they are primarily practicing as and for how many years, the percentage of time spent in patient care, and the type of institution they are primarily based at.

The surveys remained open for 3–4 weeks. Reminder emails were sent to those who were originally invited to participate, once in SA and Malawi, and weekly in Nigeria. As we could not track emails forwarded to others, due to the anonymity setting of the survey, it was not possible to remind those who had been invited in this manner.

Box 1. Criteria used in the priority setting process

Health burden—whether there is a high impact of the health problem/condition in the country as measured by financial cost, mortality, morbidity, or other indicators (e.g. QALYs, DALYs)

Urgency—whether there is an urgent need to address the issue or practice gap

Absence of guidance—whether there are no up-to-date existing guidelines addressing the specific topic and the topic would fit into existing national guideline development processes and priorities

Impact on health outcomes—whether a recommendation on the topic would have a beneficial impact on health outcomes in the country

Feasibility of intervention implementation—whether a guideline/recommendation addressing the topic would be feasible to implement in the national context (i.e. if this is through recognised guideline development bodies

Steering Group consensus meeting

Each country convened a meeting of their Guideline Steering Group to identify the final top three priority topics for guideline development. The number of topics per country was based on the number of recommendations that could be addressed in each country over the broader project period given the resources available. The moderator was a member of the research team and guided the meetings and discussions. This meeting was online in South Africa, and in-person in Malawi and Nigeria. We adopted a modified Nominal Group Technique [ 33 ] to achieve consensus, including five steps:

Step 1: the research team presented a summary of how the topics for the online survey were identified, which included consultation with the same steering group, as well as the results of the survey, including the summary of the topics that were rated as critically and very critically important, which needed further prioritisation.

Step 2: With the help of the moderator the group discussed each topic to ensure that all members understood them in the same way, and we elicited their thoughts on the ratings from the survey.

Step 3: The steering group members were asked to vote, anonymously, on the topics rated as critical or very critical in the survey using a Zoom poll (South Africa) or manually using post-its (Malawi). In Nigeria, the steering group decided to reach consensus through discussion to ensure full ownership of the resulting topics by every member of the group In South Africa only one round of voting was done as the members felt there was sufficient consensus after that. When voting, members ranked the importance of each topic on a six-point Likert scale against the same five criteria used in the online survey.

Step 4: The moderator summarised the results of the voting using bar charts to visualise the rating frequency distribution [ 34 ]. The variations for ratings observed were discussed among the group, including potential explanations before another round of voting, in cases where this took place.

Step 5: Consensus on the top three topics was reached. It was originally anticipated that at the end of this meeting three priority topics—formulated as questions in Population, Intervention, Comparator, and Outcomes (PICO) format—would have been identified for the next stages of the GELA project. However, the topics identified were broad, and further scoping of the literature and existing guidelines were needed to unpack and refine them. Several subsequent meetings with the Steering Groups were therefore needed in each country to present this scoping and finalise the three priority PICO questions per country.

Data management and analysis

Data were exported from the REDCap data management software, cleaned, and analysed using R studio [ 35 ] or STATA 12 [ 36 ]. Simple descriptive statistics were used during the analysis. Median and interquartile ranges (IQRs) were used to rank the topics, which were presented graphically and tabulated in descending order from very critically important to not important at all. Frequencies and proportions were used to describe categorical data. Response rates and missing data were noted. The data were considered as missing at random.

Pre-prioritisation

The members identified and invited to join the Steering Group in each country are described in Table 1 .

Stakeholder mapping identified a range of stakeholders for the survey, including 78 in South Africa, 31 in Malawi, and 40 in Nigeria (Table 2 ). In South Africa, there was greater representation from researchers/academics and health professionals; in Malawi from policymakers and researchers/academics; and in Nigeria from policymakers and professional associations, most of whom were academics.

Initial list of topics

In South Africa and Nigeria, the initial lists of topics identified were very long; over 65 topics, across 14 broad topic areas in South Africa, and 51 topics in Nigeria. Through engagement and input from the respective Steering Group members and other experts—via virtual meetings or email—the lists were narrowed down. The survey in South Africa included 14 topics across six conditions, in Nigeria 27 topics across 10 conditions, and in Malawi 30 topics across eight conditions (Table 3 ). Aside from undernutrition, which was a broad topic included in the surveys of all three countries, there was very little overlap in topics across all the countries. Pneumonia/acute respiratory infection and tuberculosis were common to Malawi and Nigeria, and schistosomiasis was common to South Africa and Malawi.

Prioritisation

All the stakeholders described in Table 2 were invited to complete the online survey via email. In Nigeria, WhatsApp messages were also sent to representatives of professional groups (paediatricians, Obstetricians, neonatologists), who then shared on their groups. The surveys were open for approximately three to four weeks at the end of 2022: 10 October to 8 November in South Africa; 7 to 25 November in Malawi; and 10 November to 3 December in Nigeria. Whereas in South Africa and Malawi fewer people accessed the survey compared to the number of people invited (38/78 in SA, 23/61 in Malawi), in Nigeria a greater number of people accessed it (78/57). However, a similar percentage of those that accessed the survey fully completed it (66% in SA, 70% in Malawi, and 68% in Nigeria). Some respondents completed the first part of the survey, i.e. demographic characteristics, but not the section where they were required to rate the importance of the topics. These respondents were not included in the analysis.

Overall, most respondents were health professionals (81%) and had between 5 and 20 years of experience in practice (63%) (Table 4 ). About a third of participants spent more than 75%, or between 50 and 75%, of their time in direct patient care. Most participants were primarily based at a teaching hospital (41%), and at a hospital (17%) or university (16%).

In SA, nine of 14 topics were rated as critically important , five were rated as very important , and no topic was rated as very critically important (Tables 5 , 6 , 7 ). In Malawi, 10/30 topics were rated as very critically important , 14 as critically important , five as very important , and one as important . In Nigeria, 11/27 topics were rated as very critically important , 13 were rated as critically important , one as very important , one as important and one as not important . The topics that were taken through to the discussion with the Steering Groups included all the critically important topics in South Africa, and all the very critically important topics in Malawi and Nigeria. Individual ratings for each topic included in the survey of each country are presented in the Additional file 1 : Fig. S1–S3.

Some survey respondents suggested additional topics. In South Africa 12/25 people suggested an additional 21 topics, six of 16 respondents in Malawi suggested an additional 15 topics, and 30 of 53 respondents in Nigeria suggested an additional 63 topics. In general, there was little overlap in the additional topics suggested and none were taken up as potential priorities across the countries.

Consensus meeting with Steering Groups

The main consensus meetings were held between November and December 2022 across the three countries. These were attended by members of the SG and research teams in each country. Additional individuals who joined the main Steering Group meetings included observers ( n = 2), the Malawi and Nigeria project leads ( n = 2) at the South African meeting, the project coordinator (TK) in Malawi, and a representative from the Department of Health Planning, Research and Statistics in Nigeria.

After the presentation of the results of the online survey (Step 1) and discussion about the top-rated topics (Step 2) (Table 5 ), facilitated by the moderator, the Steering Group members voted to identify the top three topics (Step 3). In South Africa, one round of voting indicated some consensus; of seven people who voted, three topics were rated as critically or very critically important by most people, and three topics were not rated by any member as critical/very critical . After further discussion on the results of the voting (Step 4), four topics were prioritized (Step 5). Figure 3 describes what took place in each step. In Malawi, although 10 top-rated topics were presented, the Steering Group members derived 10 new topics from topic 1 and 9, and these were the topics voted on. Two rounds of voting were done, after which three topics were identified. In Nigeria, the Steering Group agreed to reach decisions on topics by consensus. After extensive deliberations, considering the prevalence of health problems in neonates and the primary causes of these, they decided on four priority topics to consider.

Flow diagram of the steps in the modified Nominal Group Technique

Across all three countries, the topics selected by the end of the consensus meeting were very broad, i.e., each one encompassed many potential questions and was not yet sufficiently specific for a guideline process (i.e., in the Population, Intervention, Comparator, Outcomes—PICO format). Therefore, research teams had to do further work to unpack and refine these. To clarify the PICO questions linked to each topic, the teams compared existing national guidance on prioritised topics with recommendations in relevant WHO guidelines and other global guidance; this allowed identification of gaps in national guidance that the project could address. In Malawi, the team also consulted with experts in the field. This process resulted in seven potential PICO questions in South Africa, six in Malawi, and four in Nigeria. These were presented to the Steering Groups in additional meetings and via email communication, several rounds of which were required before final PICO questions were identified (Table 8 ). The final topics were also discussed with stakeholders responsible for developing and implementing national guidance, to clarify whether they linked to national priorities and whether they could fit within existing guideline development processes and infrastructure. Only topics that fit these conditions were taken through to the next stage of the project, the development of recommendations.

We conducted a priority setting exercise to identify topics and inform new guideline development addressing gaps in newborn and child health in South Africa, Malawi, and Nigeria. In each country, the process included engagements with national Steering Groups comprising representatives of various national-level organisations, multi-stakeholder online surveys, and consensus meetings. At the end of the process three priority PICO questions were identified in each country. In South Africa, the topics concerned anemia prevention in infants and young children through iron supplementation and multiple micronutrient powders, and post-discharge support for caregivers of preterm and LBW babies. In Malawi, they focused on enteral nutrition in critically ill children, diagnosis of childhood cancers in the community, and caring for neonates. In Nigeria, the topics focused on identifying pre-eclampsia in the community, hand hygiene compliance to prevent infections, and enteral nutrition for LBW and preterm infants.

The topics identified are informing the next stages of the GELA project, which include a systematic guideline adaptation process, including scoping existing guidelines or systematic reviews addressing the topics, conducting evidence synthesis where necessary, and convening of guideline panels to make recommendations linked to some or all of the priority PICO questions in the three countries [ 10 ]. Through this process we are aiming to highlight best practice methods for guideline development, including priority setting with the involvement of relevant stakeholders through a transparent and systematic process, and through ensuring the guidelines are developed following rigorous methods and clear and transparent reporting.

The priorities identified at the end of the process had limited overlap across the three countries. This highlights the importance of contextualised priority setting processes, one of the good practice principles of priority setting [ 23 ]. Although contextualised priority setting is important because contextual factors drive the needs and the gaps in healthcare delivery and implementation in different countries, there can also be common priorities and issues. Therefore, countries with similar priorities could draw on existing work at a global or country level, for adaptation into their context, to prevent any regional system fragmentation.

Some of the topics included in the online survey were broad, which made it difficult to identify the questions in required format for a guideline question (PICO) at the end of the main expert consensus meetings. This required substantial work to refine the topics, as well as additional meetings with the Steering Groups, which delayed the finalisation of priority topics and the next steps of the project that depended on priority topics being identified. Ideally, the topics included in the survey should have been more specific. Otherwise, some of the work to clarify the top-rated topics identified through the survey could have been done before the Steering Group consensus meeting, to ensure better efficiency. Future priority setting should also consider more frequent meetings with national Steering Groups advising on topics, given the iterative nature of the process. The process may have been more efficient and easier if the starting point had been a narrower topic area, rather than covering all of newborn and child health.

Although this project aimed to identify priority topics in PICO format that would lead to one recommendation, this may not have been clear to all stakeholders involved. In some cases, stakeholders identified topics that were broad in nature and that would lend themselves for a full guideline encompassing different recommendation. This should be better clarified at the start of the process, when engaging with the stakeholders.

We noted better response rates to the online survey where emails inviting stakeholders to participate in the survey were from a recognised institutional address, and supplemented with WhatsApp communication, a method increasingly recognised as valuable for sharing digital health information [ 37 ].

In some cases, certain Steering Group members tended to dominate the consensus discussions. Management of stakeholder input during these meetings is a critical required skill for successfully gathering everyone’s views. In a study done to prioritise childhood cancer supportive care topics for the development of guidelines, Loeffen and colleagues chose to do a Delphi survey as one of the strengths of this method is the lack of face-to-face meetings to prevent dominant voices being introduced [ 38 ].

Strengths and limitations

We followed a good practice method for priority setting including stakeholder engagement and using an explicit process [ 23 ]. We convened Steering Groups with representatives from relevant national decision-makers to advise on the project and topics, working in close collaboration with Departments of Health, aiming to ensure the project addresses national priorities that could fill a gap in national guidelines and guideline development processes. The online survey facilitated engagement with a broader range of stakeholders, to ensure broad representation of views and perspectives. Furthermore, the guideline development groups that would be identified in the next stage of the project to review the evidence and develop recommendations for each of the identified questions would ensure representation of key stakeholders. We also used specific criteria to rate the importance of topics, which were derived from the literature and which also received input to ensure they were understandable and relevant.

Our study had a few limitations. The response rates to surveys were poor, and could perhaps have been improved if they had remained open for longer. We sent reminder emails to those participants we had invited to complete the survey, but it was not possible to do this for others who may have received the link from others. We did not include patients or carers in the survey; research suggests that their perspectives may differ regarding what treatment decisions are important [ 39 , 40 ]. We did, however, include civil society groups which provided perspectives that consider equity and patient and caregiver perspectives.

Through an explicit process, including stakeholder engagement, reviewing of existing global guidelines and burden of disease, and online surveys we identified three priority questions each in South Africa, Malawi and Nigeria for guidelines addressing newborn and child health. We found that the process was not linear but rather iterative in nature, requiring several engagements with stakeholders to help finalise the topics, as well as managing the conflicting priorities of different groups of stakeholders. Our experience highlights the importance of contextualised priority setting, as shown by the limited overlap in topics prioritised across the three countries, as well as of the relationships with key decisionmakers, who help define the priorities.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

Global Evidence Local Adaptation

Non-governmental organisation

Non-profit organisation

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Acknowledgements

Carron Finnan, SAMRC corporate communications for the design of Figs. 1 and 2 .

The members of the steering groups in each country.

This project is funded as part of the EDCTP2 programme supported by the European Union (grant number RIA2020S-3303-GELA). The funder had no role in the design of the study, or in the collection, analysis, and interpretation of data, or in writing the manuscript.

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Evidence Informed Decision-Making Centre, Department of Community and Environmental Health, School of Global and Public Health, Kamuzu University of Health Sciences, Blantyre, Malawi

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SD, EEf, NM, MMt, MMc, TK, RC, GK, POV, and SL were involved in the conception and design of the study. SD, EE, MC, DA, EEs, DM, NB, GK, RC were involved with data acquisition or analysis. SD, EE, CN, AB, MMc, MC, DA, EEs, NB, and SL were involved in interpreting the findings. All authors contributed to drafting the manuscript or revising it critically and approved the final manuscript to be published.

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This study has been approved in the three countries in which it is taking place. In South Africa the study was approved by the SAMRC Human Research Ethics Committee on 19 July 2022 (protocol ID EC011-6/2022). In Nigeria, the study was approved by the National Health Research Ethics Committee (Approval Number NHREC/01/01/2007-30/06/2022). In Malawi, the study was approved by the College of Medicine Research and Ethics Committee (COMREC) (number P.06/22/3665).

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Additional file1: figure s1..

Rating of importance of survey topics in South Africa. Figure S2. Rating of importance of Malawi survey topics. Figure S3. Rating of importance of the topics included in the Nigeria survey.

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Durão, S., Effa, E., Mbeye, N. et al. Using a priority setting exercise to identify priorities for guidelines on newborn and child health in South Africa, Malawi, and Nigeria. Health Res Policy Sys 22 , 48 (2024). https://doi.org/10.1186/s12961-024-01133-7

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Two key brain systems are central to psychosis, Stanford Medicine-led study finds

When the brain has trouble filtering incoming information and predicting what’s likely to happen, psychosis can result, Stanford Medicine-led research shows.

April 11, 2024 - By Erin Digitale

People with psychosis have trouble filtering relevant information (mesh funnel) and predicting rewarding events (broken crystal ball), creating a complex inner world. Emily Moskal

Inside the brains of people with psychosis, two key systems are malfunctioning: a “filter” that directs attention toward important external events and internal thoughts, and a “predictor” composed of pathways that anticipate rewards.

Dysfunction of these systems makes it difficult to know what’s real, manifesting as hallucinations and delusions.

The findings come from a Stanford Medicine-led study , published April 11 in Molecular Psychiatry , that used brain scan data from children, teens and young adults with psychosis. The results confirm an existing theory of how breaks with reality occur.

“This work provides a good model for understanding the development and progression of schizophrenia, which is a challenging problem,” said lead author Kaustubh Supekar , PhD, clinical associate professor of psychiatry and behavioral sciences.

The findings, observed in individuals with a rare genetic disease called 22q11.2 deletion syndrome who experience psychosis as well as in those with psychosis of unknown origin, advance scientists’ understanding of the underlying brain mechanisms and theoretical frameworks related to psychosis.

During psychosis, patients experience hallucinations, such as hearing voices, and hold delusional beliefs, such as thinking that people who are not real exist. Psychosis can occur on its own and isa hallmark of certain serious mental illnesses, including bipolar disorder and schizophrenia. Schizophrenia is also characterized by social withdrawal, disorganized thinking and speech, and a reduction in energy and motivation.

It is challenging to study how schizophrenia begins in the brain. The condition usually emerges in teens or young adults, most of whom soon begin taking antipsychotic medications to ease their symptoms. When researchers analyze brain scans from people with established schizophrenia, they cannot distinguish the effects of the disease from the effects of the medications. They also do not know how schizophrenia changes the brain as the disease progresses.

To get an early view of the disease process, the Stanford Medicine team studied young people aged 6 to 39 with 22q11.2 deletion syndrome, a genetic condition with a 30% risk for psychosis, schizophrenia or both.

Kaustubh Supekar

Brain function in 22q11.2 patients who have psychosis is similar to that in people with psychosis of unknown origin, they found. And these brain patterns matched what the researchers had previously theorized was generating psychosis symptoms.

“The brain patterns we identified support our theoretical models of how cognitive control systems malfunction in psychosis,” said senior study author Vinod Menon , PhD, the Rachael L. and Walter F. Nichols, MD, Professor; a professor of psychiatry and behavioral sciences; and director of the Stanford Cognitive and Systems Neuroscience Laboratory .

Thoughts that are not linked to reality can capture the brain’s cognitive control networks, he said. “This process derails the normal functioning of cognitive control, allowing intrusive thoughts to dominate, culminating in symptoms we recognize as psychosis.”

Cerebral sorting

Normally, the brain’s cognitive filtering system — aka the salience network — works behind the scenes to selectively direct our attention to important internal thoughts and external events. With its help, we can dismiss irrational thoughts and unimportant events and focus on what’s real and meaningful to us, such as paying attention to traffic so we avoid a collision.

The ventral striatum, a small brain region, and associated brain pathways driven by dopamine, play an important role in predicting what will be rewarding or important.

For the study, the researchers assembled as much functional MRI brain-scan data as possible from young people with 22q11.2 deletion syndrome, totaling 101 individuals scanned at three different universities. (The study also included brain scans from several comparison groups without 22q11.2 deletion syndrome: 120 people with early idiopathic psychosis, 101 people with autism, 123 with attention deficit/hyperactivity disorder and 411 healthy controls.)

The genetic condition, characterized by deletion of part of the 22nd chromosome, affects 1 in every 2,000 to 4,000 people. In addition to the 30% risk of schizophrenia or psychosis, people with the syndrome can also have autism or attention deficit hyperactivity disorder, which is why these conditions were included in the comparison groups.

The researchers used a type of machine learning algorithm called a spatiotemporal deep neural network to characterize patterns of brain function in all patients with 22q11.2 deletion syndrome compared with healthy subjects. With a cohort of patients whose brains were scanned at the University of California, Los Angeles, they developed an algorithmic model that distinguished brain scans from people with 22q11.2 deletion syndrome versus those without it. The model predicted the syndrome with greater than 94% accuracy. They validated the model in additional groups of people with or without the genetic syndrome who had received brain scans at UC Davis and Pontificia Universidad Católica de Chile, showing that in these independent groups, the model sorted brain scans with 84% to 90% accuracy.

The researchers then used the model to investigate which brain features play the biggest role in psychosis. Prior studies of psychosis had not given consistent results, likely because their sample sizes were too small.

Vinod Menon

Comparing brain scans from 22q11.2 deletion syndrome patients who had and did not have psychosis, the researchers showed that the brain areas contributing most to psychosis are the anterior insula (a key part of the salience network or “filter”) and the ventral striatum (the “reward predictor”); this was true for different cohorts of patients.

In comparing the brain features of people with 22q11.2 deletion syndrome and psychosis against people with psychosis of unknown origin, the model found significant overlap, indicating that these brain features are characteristic of psychosis in general.

A second mathematical model, trained to distinguish all subjects with 22q11.2 deletion syndrome and psychosis from those who have the genetic syndrome but without psychosis, selected brain scans from people with idiopathic psychosis with 77.5% accuracy, again supporting the idea that the brain’s filtering and predicting centers are key to psychosis.

Furthermore, this model was specific to psychosis: It could not classify people with idiopathic autism or ADHD.

“It was quite exciting to trace our steps back to our initial question — ‘What are the dysfunctional brain systems in schizophrenia?’ — and to discover similar patterns in this context,” Menon said. “At the neural level, the characteristics differentiating individuals with psychosis in 22q11.2 deletion syndrome are mirroring the pathways we’ve pinpointed in schizophrenia. This parallel reinforces our understanding of psychosis as a condition with identifiable and consistent brain signatures.” However, these brain signatures were not seen in people with the genetic syndrome but no psychosis, holding clues to future directions for research, he added.

Applications for treatment or prevention

In addition to supporting the scientists’ theory about how psychosis occurs, the findings have implications for understanding the condition — and possibly preventing it.

“One of my goals is to prevent or delay development of schizophrenia,” Supekar said. The fact that the new findings are consistent with the team’s prior research on which brain centers contribute most to schizophrenia in adults suggests there may be a way to prevent it, he said. “In schizophrenia, by the time of diagnosis, a lot of damage has already occurred in the brain, and it can be very difficult to change the course of the disease.”

“What we saw is that, early on, functional interactions among brain regions within the same brain systems are abnormal,” he added. “The abnormalities do not start when you are in your 20s; they are evident even when you are 7 or 8.”

Our discoveries underscore the importance of approaching people with psychosis with compassion.

The researchers plan to use existing treatments, such as transcranial magnetic stimulation or focused ultrasound, targeted at these brain centers in young people at risk of psychosis, such as those with 22q11.2 deletion syndrome or with two parents who have schizophrenia, to see if they prevent or delay the onset of the condition or lessen symptoms once they appear.

The results also suggest that using functional MRI to monitor brain activity at the key centers could help scientists investigate how existing antipsychotic medications are working.

Although it’s still puzzling why someone becomes untethered from reality — given how risky it seems for one’s well-being — the “how” is now understandable, Supekar said. “From a mechanistic point of view, it makes sense,” he said.

“Our discoveries underscore the importance of approaching people with psychosis with compassion,” Menon said, adding that his team hopes their work not only advances scientific understanding but also inspires a cultural shift toward empathy and support for those experiencing psychosis.

“I recently had the privilege of engaging with individuals from our department’s early psychosis treatment group,” he said. “Their message was a clear and powerful: ‘We share more similarities than differences. Like anyone, we experience our own highs and lows.’ Their words were a heartfelt appeal for greater empathy and understanding toward those living with this condition. It was a call to view psychosis through a lens of empathy and solidarity.”

Researchers contributed to the study from UCLA, Clinica Alemana Universidad del Desarrollo, Pontificia Universidad Católica de Chile, the University of Oxford and UC Davis.

The study was funded by the Stanford Maternal and Child Health Research Institute’s Uytengsu-Hamilton 22q11 Neuropsychiatry Research Program, FONDEYCT (the National Fund for Scientific and Technological Development of the government of Chile), ANID-Chile (the Chilean National Agency for Research and Development) and the U.S. National Institutes of Health (grants AG072114, MH121069, MH085953 and MH101779).

About Stanford Medicine

Stanford Medicine is an integrated academic health system comprising the Stanford School of Medicine and adult and pediatric health care delivery systems. Together, they harness the full potential of biomedicine through collaborative research, education and clinical care for patients. For more information, please visit med.stanford.edu .

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Human odorant receptor for characteristic petrol note of Riesling wines identified

by Gisela Olias, Leibniz Institute for Food Systems Biology

Climate change does not stop at grapevines. Too much sun means that the bouquet of German Riesling wines becomes dominated by a petrol note (some) customers do not appreciate. A research team from the Leibniz Institute for Food Systems Biology at the Technical University of Munich has identified the human odorant receptor responsible for the perception of this special aroma. Their paper is published in the Journal of Agricultural and Food Chemistry .

The grapevine (Vitis vinifera) is one of the most economically important fruit plants, with Riesling being one of the classic grape varieties. The bouquet of this white wine is characterized by floral, fruity and honey-like nuances, accompanied by a more or less pronounced petrol note.

The latter is due to an odorant with the chemical name 1,1,6-trimethyl-1,2-dihydronaphthalene (TDN). Low and moderate concentrations of this odorant contribute to the complexity of the wine bouquet. However, wines with higher levels are often rejected by local consumers.

Increased sun exposure intensifies the petrol note

Compared to German Riesling, Riesling wines from South Africa or Australia generally have significantly higher concentrations of the aroma compound. The reason for this appears to be the higher UV exposure of the grapes in the southern hemisphere, which leads to increased carotenoid production in the plants. Like pigments in human skin , these natural colorants serve as sun protection, but at the same time are molecular precursors of the odorant TDN.

Studies have determined an odor detection threshold of TDN between approx. 2 and 20 micrograms per liter. Its odor quality is reminiscent of petroleum and kerosene. A human odorant receptor for this compound, however, was previously unknown. As the research team led by Dietmar Krautwurst has now shown for the first time, it is the odorant receptor OR8H1.

Receptor with a specific recognition profile

The team identified the odorant receptor using bidirectional receptor screenings. Using a cellular test system, they examined which of a total of 766 human odorant receptor variants react to the petroleum note. The OR8H1 receptor was the only one to respond to physiologically significant concentrations of the kerosene-like odorant. The team then investigated whether the identified receptor also reacted to other food-relevant odorants. Of the 180 substances tested, only seven, predominantly aromatic compounds, were able to significantly activate the receptor.

"The recognition spectrum of receptor OR8H1 is therefore very specific. Moreover, it complements the spectrum of another odorant receptor that recognizes a very broad range of food-relevant odorants," reports first author Franziska Haag.

Principal investigator Dietmar Krautwurst adds, "Our new findings help us to better understand the molecular mechanisms that contribute to our perception of foods as distinguishable odor objects, for example the complex bouquet of a wine."

The researchers assume that a deeper understanding of the molecular background of odorant perception will lead to the development of new sensor technologies for food aromas in the long term. These could then be used for quality control purposes of not only the petrol note in wines, but also the occurrence of (off) flavors in other foods.

About 1,1,6-trimethyl-1,2-dihydronaphthalene (TDN)

The TDN concentration in wine increases during bottle aging due to the conversion of carotenoid precursors contained in the grapes or must. The amount of precursors depends on viticultural practices such as defoliation of the grapes, soil fertilization, irrigation and the selection of grape clones.

Apart from this, higher temperatures and intense sunlight help to increase the formation of the odorous substance that smells of petrol. The yeast strains and the choice of bottle closures also influence the concentration of odorants in the wine . Storage conditions, especially elevated temperatures, have been shown to accelerate the formation of TDN.

The typical content of TDN in European Riesling wines is usually between 1 and 50 micrograms per liter, while in Australian wines it can reach up to 250 micrograms per liter and more.

Journal information: Journal of Agricultural and Food Chemistry

Provided by Leibniz Institute for Food Systems Biology

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IMAGES

Information Systems Research Template
Information Systems Research Template
(PDF) Organizational Context in Information Systems Research
Information Systems Research Framework [9] The main concept is that
Tips For How To Write A Scientific Research Paper
Information Systems Research Framework, adapted from [17]

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CAiSE'2018 Keynote: Information Systems in the Digital Age

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39 Best Information Systems Dissertation Topics Ideas
Strategic information systems management: focus on the role of a balanced scorecard. Delivery of information system: formation of a hypothetical framework. Information quality management framework: a review of the literature. Information systems hierarchy: a systematic analysis. Importance of big data and business intelligence for the ...
Information Systems Research
Information Systems Research is a peer-reviewed journal that seeks to publish the best research in the information systems discipline. INFORMS.org; Certified Analytics Professional ... ISR has issued a call for papers for a special issue on Analytical Creativity. ScholarOne will be open to submissions beginning on January 2, 2024.
Information Systems Research
Information Systems Research (ISR) is a leading peer-reviewed, international journal focusing on theory, research, and intellectual development for information systems in organizations, institutions, the economy, and society. It is dedicated to furthering knowledge in the application of information technologies to human organizations and their management and, more broadly, to improving ...
Submission Guidelines
Research Articles are full-length papers that seek to theoretically and/or empirically examine significant information systems phenomena. Appropriate submissions should offer a contribution that is sufficiently original and significant so as to warrant a full-length article for the authors to develop and present their argument.
Information Systems Research Paper Ideas
An IS (Information System) is a specific system that is widely applied for accumulating, storing and processing the data to offer sufficient details. Across Information Systems, here we discuss the numerous interesting information systems research paper topics which cover the different perspective of performance analysis:
Artificial intelligence in information systems research: A systematic
Despite the heightened interest in AI (Watson, 2017), it is claimed that there is a noticeable absence of theoretically-grounded research on how organisations should develop their digital business strategies incorporating AI to create business (Mikalef, Bourab, Lekakosb, & Krogstiea, 2019).We investigate this claim and identify gaps in AI research conducted by IS scholars.
Current Issue
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Information Systems Research: Foundations, Design and Theory
Mohammed Ali is a Lecturer in Digital Business and Information Systems and the programme lead for Business Management with Innovation and Technology at the University of Salford Business School, UK.He is a Senior Fellow of Higher Education with extensive teaching experience. His research interests fall under the socio-technical and system complexities of information systems and digital ...
Information Systems
Databases: Their Creation, Management and Utilization. Information systems are the software and hardware systems that support data-intensive applications. The journal Information Systems publishes articles concerning the design and implementation of languages, data models, process models, algorithms, software and hardware for information systems.
Communications of the Association for Information Systems
The majority of meta-analysis projects code papers based on a combination of two or more of the following four dimensions: research topic, research model, research methodology, and paradigmatic research approach. For example, Claver, González, and Llopis (2000) study the research topics and research methodology in IS research.
PDF "Next-Generation Information Systems Research Methods"
Call for Papers for a Special Issue of the Journal of Information Technology on: "Next-Generation Information Systems Research Methods" Special Issue Editors: Ivo Blohm, University of St. Gallen - Switzerland ([email protected], corresponding) Susanna Ho, Australian National University - Australia
Viewpoint: Information systems research strategy
Information Systems Discipline (ISd) Research Strategy. Through an archival analysis of 316 Journal of Strategic Information Systems (JSIS) research papers, from the journal's inception through to the end 2009 (Gable, 2010), I discerned a high-level three category classification of Strategic IS (SIS) research: (i) IS for strategic decision making, (ii) Strategic use of IS, and (iii ...
Information systems security research agenda: Exploring the gap between
Topic modeling of Information Systems Security research between 1990 and 2020. • Delphi study of CISOs to rank order important Information Systems Security concerns. • Explores the gap between what practitioners consider to be important and what researchers are currently studying. • Develop a research agenda in Information Systems Security.
130 Top-Notch Information Technology Research Topics
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Information Systems Research Topics for MS PhD
Information Systems Research Topic ideas for MS, or Ph.D. Degree. I am sharing with you some of the research topics regarding Information Systems that you can choose for your research proposal for the thesis work of MS, or Ph.D. Degree. A survey on blockchain for information systems management and security. The perils and promises of big data ...
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Management Information Systems Research: A Topic Modeling Based
14 Information Systems Research 331 6105 18.44 40 15 Opsearch 330 1293 3.92 15 Abbreviations: P, publication count; C, citation count; ACP, average citations per publication; h, h- index.
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Samsung Company's Management Information System. The scope of Management Information System is defined as, "The combination of human and computer based resources that results in the collection, storage, retrieval, communication and use of data for the purpose of efficient management […] Management Information Systems: Making Strategic ...
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Research papers rely on other people's writing as a foundation to create new ideas, but you can't just use someone else's words. That's why paraphrasing is an essential writing technique for academic writing.. Paraphrasing rewrites another person's ideas, evidence, or opinions in your own words.With proper attribution, paraphrasing helps you expand on another's work and back up ...
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Information Systems Research
Editorial Statement Information Systems Research (ISR) is an author-friendly peer-reviewed journal that seeks to publish the best research in the information systems discipline.Its mission is to advance knowledge about the effective and efficient utilization of information technology by individuals, groups, organizations, society, and nations for the improvement of economic and social welfare.
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Traditional computing faces a critical bottleneck hindering its evolution toward more efficient and powerful systems. Dr. Hassan Najafi, an assistant professor in UL Lafayette's School of Computing and Informatics and a leading expert in computational science, developed an innovative solution poised to reshape the landscape of computing as we know it.
Using a priority setting exercise to identify priorities for guidelines
We followed good practice priority setting method, as described above. Our approach included a pre-prioritisation stage to identify potential priority topics through stakeholder engagement and review of the literature, and a prioritisation stage for consultation and finalisation of the priority topics through online surveys and consensus meetings, using specific criteria (Fig. 2).
Two key brain systems are central to psychosis, Stanford Medicine-led
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Human odorant receptor for characteristic petrol note of Riesling wines
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Information Systems Research

Salford Business School, University of Salford, Manchester, UK

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Table of contents (15 chapters)

Research Philosophies in Social Science and Information Systems Research

About this book

Bibliographic Information

Viewpoint: Information systems research strategy

Introduction

Information Systems Discipline (ISd) Research Strategy

(A) ISd-Research Strategy Theory

(B) ISd-Research Strategic Governance

(C) ISd-Research Strategic Methods

(D) ISd-Research Strategic Foci

(E) ISd-Research Strategic Programs

ISd-Research Strategy Publications

A Relevance-Centric Approach to Programmatic Research

Rigour in programmatic research strategy

Limitations

Future directions

Acknowledgements

Appendix A. Article fit with JSIS

Comments from senior scholars

130 Information Technology Research Topics And Quick Writing Prompts

Quality Information Technology Topics For Research Paper

College Research Paper Topics in Information Technology

List of Topics For Research Paper in Information Technology

Unique Information Technology Research Topics

IT Research Topics For High School Students

Hot Topics in IT

Interesting Information Technology Topics

Topics Related To Information Technology

Research Proposal Topics in Information Technology

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78 MIS Topics for Presentations and Essays

Research: How Ratings Systems Shape User Behavior in the Gig Economy

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Cutting-edge computing the focus of researcher’s $600,000 National Science Foundation award

Using a priority setting exercise to identify priorities for guidelines on newborn and child health in South Africa, Malawi, and Nigeria

Conclusions

Priority setting methods

Pre-prioritization

Identifying a long list of topics

Prioritization stage

Box 1. Criteria used in the priority setting process

Steering Group consensus meeting

Data management and analysis

Pre-prioritisation

Initial list of topics

Prioritisation

Consensus meeting with Steering Groups

Strengths and limitations

Availability of data and materials

Abbreviations

Acknowledgements

Author information

Contributions

Corresponding author

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