An Assessment of the Contingency Theory of Management Information Systems
Abstract
:This paper explores the use of contingency theory in the field of Management Information Systems (MIS). The development of contingency theory in MIS is compared to the development of organization theory. The assumptions of fit, performance as a dependent variable, rational actors, and a deterministic model in both organizational research and MIS research are critiqued. The dominant influence of contingency theory is demonstrated through a review of empirical studies published in JMIS and MIS Quarterly. Of the 177 articles during the period studied, 59 percent were empirical and over 70 percent of these were judged to follow a contingency model. Based on our assessment of this research, we conclude that research in MIS has been hampered by the use of a naive meta-theory, conflicting empirical results with low explained variance, ill-defined concepts of performance and fit, and a narrow perspective of researchers. We give some recommendations for improving the theoretical basis of MIS, including advocating more subjectivist, less functional, and less deterministic research approaches. We also suggest a wider selection of methodologies including qualitative case studies, longitudinal studies, and ethnographic approaches. Finally, we conclude that significantly more theory-building is required in defining the MIS construct.
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Past studies have found that the size of the interaction effect was generally small in most empirical studies, and that an effect size of 0.02 is regarded as an optimistic interaction effect.
“Past studies have found that the size of the interaction effect was generally small in most empirical studies (Chin et al. 2003; Weill and Olson 1989) and that an effect size of 0.02 is regarded as an optimistic interaction effect (Aguinis 2004).”
From Trust, Satisfaction, and Online Repurchase Intention: The Moderating Role of Perceived Effectiveness of E-Commerce Institutional Mechanisms1 (2014) · cites this paper as Weill and Olson 1989
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Human Resource Information Systems: A Current Assessment
DeSanctis, G. (1986) · MIS Quarterly · doi:10.2307/248875 · Cited by 281 · see citing works
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Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003) · Information Systems Research · doi:10.1287/isre.14.2.189.16018 · Cited by 6,479 · see citing works
Fang, Y., Qureshi, I., Sun, H., McCole, P., Ramsey, E., & Lim, K. H. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.2.04 · Cited by 770 · see citing works
Lu, B., Wang, Z., & Zhang, S. (2021) · Information & Management · doi:10.1016/j.im.2021.103504 · Cited by 96 · see citing works
Exemplary Works on Information Systems Research
Whitman, M. E., & Woszczynski, A. B. (2011) · The Handbook of Information Systems Research · doi:10.4018/978-1-59140-144-5.ch001 · Cited by 1 · see citing works
- Authors
- Weill, P., & Olson, M. H.
- Affiliations
- The University of Melbourne (AU)
- Venue
- Journal of Management Information Systems
- Publisher
- Informa UK Limited
- Published
- 1989-06
- Volume
- 6
- Issue
- 1
- Pages
- 59-86
- ISSN
- 0742-1222 (ISSN-L)
- 1557-928X
- OpenAlex
- W1755842991
- Cited by
- 351
- References
- 1
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 6 · 2023: 10 · 2022: 5 · 2021: 15 · 2020: 7 · 2019: 17 · 2018: 6 · 2017: 12 · 2016: 11 · 2015: 13 · 2014: 23 · 2013: 24 · 2012: 27
- FWCI
- 11.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Management Information Systems (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Management Theory and Practice
- Keywords
- contingency theory, management information systems, organizational theory, research assumptions, deterministic models, metatheory, theory development, research methodology, MIS Quarterly
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