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Cognitive Process as a Basis for MIS and DSS Design

Author

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  • Arkalgud Ramaprasad

    (Department of Management, Southern Illinois University, Carbondale, Illinois 62901)

Abstract

Cognitive process research can provide specific, operational guidelines for MIS/DSS design by delineating the specific influences on managers' cognitive processes in sensing, formulating, and solving problems. The paper integrates some of the considerable body of literature on these processes in the framework of Piaget's model to illustrate the type of guidelines cognitive process research can provide. It also delineates three topical areas for future research: (a) Choice of Logico-Mathematical-Structures (LMSs), (b) Development of LMSs, and (c) Application/Attribution of LMSs to sense, formulate and solve problems, and describes how research in these areas can help improve the effectiveness of MIS/DSS.

Suggested Citation

  • Arkalgud Ramaprasad, 1987. "Cognitive Process as a Basis for MIS and DSS Design," Management Science, INFORMS, vol. 33(2), pages 139-148, February.
    • Handle: RePEc:inm:ormnsc:v:33:y:1987:i:2:p:139-148
    DOI: 10.1287/mnsc.33.2.139
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    Citations

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    Cited by:

    1. Binbasioglu, Meral, 1995. "Key features for model building decision support systems," European Journal of Operational Research, Elsevier, vol. 82(3), pages 422-437, May.
    2. Norese, Maria Franca, 1995. "MACRAME: A problem formulation and model structuring assistant in multiactorial contexts," European Journal of Operational Research, Elsevier, vol. 84(1), pages 25-34, July.
    3. Kayande, U. & de Bruyn, A. & Lilien, G.L. & Rangaswamy, A. & van Bruggen, G.H., 2006. "How Feedback Can Improve Managerial Evaluations of Model-based Marketing Decision Support Systems," ERIM Report Series Research in Management ERS-2006-039-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. S. D. Sreeganga & Ajay Chandra & Arkalgud Ramaprasad, 2021. "Ontological Analysis of COVID-19 Vaccine Roll out Strategies: A Comparison of India and the United States of America," IJERPH, MDPI, vol. 18(14), pages 1-18, July.
    5. Monica J. Garfield & Nolan J. Taylor & Alan R. Dennis & John W. Satzinger, 2001. "Research Report: Modifying Paradigms—Individual Differences, Creativity Techniques, and Exposure to Ideas in Group Idea Generation," Information Systems Research, INFORMS, vol. 12(3), pages 322-333, September.
    6. Gelderman, M., 1995. "Factors affecting the success of management support systems: analysis and meta-analysis," Serie Research Memoranda 0020, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    7. Thomas J. Housel & Waymond Rodgers, 1994. "A Multi‐Stage Model of Decision Bias: Implications for Expert Systems," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 3(3), pages 165-186, August.
    8. 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.
    9. Alicia Núñez & S. D. Sreeganga & Arkalgud Ramaprasad, 2021. "Access to Healthcare during COVID-19," IJERPH, MDPI, vol. 18(6), pages 1-12, March.
    10. Ujwal Kayande & Arnaud De Bruyn & Gary L. Lilien & Arvind Rangaswamy & Gerrit H. van Bruggen, 2009. "How Incorporating Feedback Mechanisms in a DSS Affects DSS Evaluations," Information Systems Research, INFORMS, vol. 20(4), pages 527-546, December.

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    Keywords

    MIS/DSS design; cognitive processes;

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