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Computer Support of Groups: Theory-Based Models for GDSS Research

Author

Listed:
  • V. Srinivasan Rao

    (Department of Management Information Systems, Faculty of Commerce, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Y8)

  • Sirkka L. Jarvenpaa

    (Department of Management Science and Information Systems, College of Business, University of Texas at Austin, Austin, Texas 78712)

Abstract

Empirical research in the area of computer support of groups is characterized by inconsistent results across studies. This paper attempts to reconcile the inconsistencies by linking the ad hoc reasoning in the studies to existing theories of communication, minority influence and human information processing. Contingency models are then presented based on the theories discussed. The paper concludes by discussing the linkages between the current work and other recently published integrations of empirical GDSS research and theories of GDSS.

Suggested Citation

  • V. Srinivasan Rao & Sirkka L. Jarvenpaa, 1991. "Computer Support of Groups: Theory-Based Models for GDSS Research," Management Science, INFORMS, vol. 37(10), pages 1347-1362, October.
    • Handle: RePEc:inm:ormnsc:v:37:y:1991:i:10:p:1347-1362
    DOI: 10.1287/mnsc.37.10.1347
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    Citations

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    Cited by:

    1. Michael Parent & R. Brent Gallupe, 2001. "The Role of Leadership in Group Support Systems Failure," Group Decision and Negotiation, Springer, vol. 10(5), pages 405-422, September.
    2. Viju Raghupathi & Raquel Benbunan-Fich, 2020. "A Social Capital Perspective on Computer-Mediated Group Communication and Performance: An Empirical Study," Group Decision and Negotiation, Springer, vol. 29(4), pages 747-801, August.
    3. Dubey, Rameshwar & Bryde, David J. & Dwivedi, Yogesh K. & Graham, Gary & Foropon, Cyril, 2022. "Impact of artificial intelligence-driven big data analytics culture on agility and resilience in humanitarian supply chain: A practice-based view," International Journal of Production Economics, Elsevier, vol. 250(C).
    4. Ann Davey & David Olson, 1998. "Multiple Criteria Decision Making Models in Group Decision Support," Group Decision and Negotiation, Springer, vol. 7(1), pages 55-75, January.
    5. Jackie Rees & Gary J. Koehler, 2002. "An Evolutionary Approach to Group Decision Making," INFORMS Journal on Computing, INFORMS, vol. 14(3), pages 278-292, August.
    6. Airani, Rajeev & Karande, Kiran, 2022. "How social media effects shape sentiments along the twitter journey?A Bayesian network approach," Journal of Business Research, Elsevier, vol. 142(C), pages 988-997.
    7. Russell Haines & Jill Hough & Lan Cao & Douglas Haines, 2014. "Anonymity in Computer-Mediated Communication: More Contrarian Ideas with Less Influence," Group Decision and Negotiation, Springer, vol. 23(4), pages 765-786, July.
    8. Gwendolyn L. Kolfschoten & Bruce A. Reinig, 2013. "Introduction to the Special Issue: “Cognitive Perspectives on Group Decision and Negotiation”," Group Decision and Negotiation, Springer, vol. 22(5), pages 867-872, September.
    9. Utpal Bose & David B. Paradice, 1999. "The Effects of Integrating Cognitive Feedback and Multi-attribute Utility-Based Multicriteria Decision-Making Methods in GDSS," Group Decision and Negotiation, Springer, vol. 8(2), pages 157-182, March.
    10. Mi, Hwang, 1998. "Did Task Type Matter in the Use of Decision Room GSS? A Critical Review and a Meta-analysis," Omega, Elsevier, vol. 26(1), pages 1-15, February.
    11. Rajiv D. Banker & Robert J. Kauffman, 2004. "50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science," Management Science, INFORMS, vol. 50(3), pages 281-298, March.
    12. Fred Niederman & John Bryson, 1998. "Influence of Computer-Based Meeting Support on Process and Outcomes for a Divisional Coordinating Group," Group Decision and Negotiation, Springer, vol. 7(4), pages 293-325, July.

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