The Sociotechnical Axis of Cohesion for the is Discipline: Its Historical Legacy and its Continued Relevance1
Abstract
The sociotechnical perspective is often seen as one of the foundational viewpoints—or an “axis of cohesion”— for the Information Systems (IS) discipline, contributing to both its distinctiveness and its ability to coherently expand its boundaries. However, our review of papers in the two leading IS journals from 2000 to 2016 suggests that IS research has lost sight of the discipline’s sociotechnical character—a character that was widely acknowledged at the discipline’s inception. This is a problem because an axis of cohesion can be fundamental to a discipline’s long-term vitality. In order to address this issue, we offer ways to renew the sociotechnical perspective so that it can continue to serve as a distinctive and coherent foundation for the discipline. Our hope is that the renewed sociotechnical frame for the IS discipline discussed in the paper holds potential to contribute to the enduring strength of our diverse, distinctive, yet unified discipline. It also prompts members of the discipline to think more deeply about what it means to be an IS scholar.
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The systems perspective encompasses how components interact to sustain a system.
“On the other hand, the systems perspective encompasses how components interact to sustain a system (Burton-Jones et al., 2015; Sarker et al., 2019).”
From Sustaining the Crypto Commons: A Configurational Systems Perspective on Blockchain and Cryptocurrency Governance (2024) · cites this paper as Sarker et al., 2019
Configurational perspectives align well with systems theorizing, which underscores interactions within a system and its environment, highlighting emergent properties.
“Configurational perspectives align well with systems theorizing, which underscores the interactions within a system and its environment, highlighting emergent properties (Burton-Jones et al., 2015; Sarker et al., 2019).”
From Sustaining the Crypto Commons: A Configurational Systems Perspective on Blockchain and Cryptocurrency Governance (2024) · cites this paper as Sarker et al., 2019
The sociotechnical view can serve as a guiding framework for understanding user engagement and deviant behaviours in the metaverse.
“The sociotechnical view (Sarker et al., 2019) can serve as a guiding framework for understanding user engagement and deviant behaviours in the metaverse.”
From Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (2022) · cites this paper as Sarker et al., 2019
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Interdisciplinary Conversations
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Invited Commentary—Reflections on ICT-enabled Bright Society Research
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Options for Formulating a Digital Transformation Strategy
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Floridi's Philosophy of Information and Information Ethics: Current Perspectives, Future Directions
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Protecting Privacy Against Record Linkage Disclosure: A Bounded Swapping Approach for Numeric Data
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Institutional and Sub-institutional Determinants of Change in Labour Turnover
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Crafting theory to satisfy the requirements of systems science
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Designing managerial and professional work for high performance: A sociotechnical approach
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Flipping the Context: ICT4D, the Next Grand Challenge for IS Research and Practice
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Infusing Ethical Considerations in Knowledge Management Scholarship: Toward a Research Agenda
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Special Section: Social Aspects of Sociotechnical Systems
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Shifting baselines in information systems research threaten our future relevance
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Editorial Thoughts: What and How ISR Publishes
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Desperately Seeking the Information in Information Systems Research
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The Shaping of the Scandinavian Socio-technical IS Research Tradition: Confessions of an Accomplice
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Work systems as the core of the design space for organisational design and engineering
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Balance of Trade in the Marketplace of Ideas
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Information and ontologies: Challenges in scaling knowledge for development
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Extracting Citizen Values as Inputs for Designing Citizen-Responsive Urban e-Planning Services
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Flagged first, then by citations
Cited by
Sorted by citations
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., et al. (2023) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2023.102642 · Cited by 4,584 · see citing works
Self-citationDwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., Dennehy, D., Metri, B., Buhalis, D., Cheung, C. M. K., et al. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2022.102542 · Cited by 2,753 · see citing works
Dwivedi, Y. K., Hughes, L., Kar, A. K., Baabdullah, A. M., Grover, P., Abbas, R., Andreini, D., Abumoghli, I., Barlette, Y., Bunker, D., et al. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102456 · Cited by 761 · see citing works
Self-citationManaging artificial intelligence
Berente, N., Gu, B., Recker, J., & Santhanam, R. (2021) · MIS Quarterly · doi:10.25300/misq/2021/16274 · Cited by 898 · see citing works
The Making of Data Commodities: Data Analytics as an Embedded Process
Aaltonen, A., Alaimo, C., & Kallinikos, J. (2021) · Journal of Management Information Systems · doi:10.1080/07421222.2021.1912928 · Cited by 95 · see citing works
AI Literacy - Towards Measuring Human Competency in Artificial Intelligence
Pinski, M., & Benlian, A. (2023) · Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.24251/hicss.2023.021 · Cited by 94 · see citing works
Mobilising new frontiers in digital transformation research: A problematization review
Ashrafi, A., Constantinides, P., Mehandjiev, N., & Thatcher, J. B. (2025) · Information Systems Journal · doi:10.1111/isj.12531 · Cited by 33 · see citing works
Eustress and Distress in the Context of Telework
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Raees, M., Khan, V.-J., Lykourentzou, I., & Papangelis, K. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791467 · Cited by 5 · see citing works
Ciriello, R., Mindel, V., & Mathiassen, L. (2024) · Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.24251/hicss.2024.607 · Cited by 2 · see citing works
- Authors
- Sarker, S., Chatterjee, S., Xiao, X., & Elbanna, A.
- Affiliations
- University of Virginia (US)
- University of Nevada, Las Vegas (US)
- Copenhagen Business School (DK)
- Royal Holloway University of London (GB)
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2019-09-01
- Volume
- 43
- Issue
- 3
- Pages
- 695-719
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W2967831706
- Semantic Scholar
- 3918edae4d9597e00064bd48e1d4e0b67d2766c1
- Cited by
- 576
- References
- 158
- Citations by year
- 2026: 107 · 2025: 97 · 2024: 90 · 2023: 100 · 2022: 81 · 2021: 62 · 2020: 32 · 2019: 7
- FWCI
- 91.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- MIS Quarterly (publishedVersion)
- CBS Research Portal (Copenhagen Business School) (publishedVersion)
- Journal of the Association for Information Systems (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Physical Sciences › Computer Science › Information Systems › Information Systems Education and Curriculum Development
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
- Keywords
- socio-technical approach, information systems discipline, disciplinary identity, disciplinary boundaries, disciplinary renewal
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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