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A Program for Research on Management Information Systems


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  • Richard O. Mason

    (University of California, Los Angeles)

  • Ian I. Mitroff

    (University of Pittsburgh)

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    An information system consists of, at least, a PERSON of a certain PSYCHOLOGICAL TYPE who faces a PROBLEM within some ORGANIZATIONAL CONTEXT for which he needs EVIDENCE to arrive at a solution, where the evidence is made available through some MODE OF PRESENTATION. This defines the key variables comprising a Management Information System (MIS). It is argued that most research and development to date on MIS has assumed only one underlying psychological type, one class of problem types, one or two methods of generating evidence, and, finally, one mode of presentation. Other states are suggested for all these key variables. The result is the outline of a systematic research program on MIS.

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    Bibliographic Info

    Article provided by INFORMS in its journal Management Science.

    Volume (Year): 19 (1973)
    Issue (Month): 5 (January)
    Pages: 475-487

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    Handle: RePEc:inm:ormnsc:v:19:y:1973:i:5:p:475-487

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    Cited by:
    1. Lazhar El Orf & Eric Tort, 2006. "Une synthèse des travaux sur les systèmes d'information comptables en France : état des lieux et pistes de recherche," Post-Print halshs-00548123, HAL.
    2. Carine Luangsay-Catelin & Rajaa Roybier, 2012. "Influence des technologies de l’information sur la performance d’une organisation publique - Influence of Information technologies on public organization performance," Working Papers CREGO 1120701, Université de Bourgogne - CREGO EA7317 Centre de recherches en gestion des organisations.
    3. Denis Travaillé & Christine Marsal, 2007. "Automatisation des tableaux de bord et cohérence du contrôle de gestion:à propos de deux cas," Working Papers CREGO 1070602, Université de Bourgogne - CREGO EA7317 Centre de recherches en gestion des organisations.
    4. Berthon, Pierre R. & Pitt, Leyland F. & Morris, Michael H., 1998. "The Impact of Individual and Organizational Factors on Problem Perception: Theory and Empirical Evidence from the Marketing-Technical Dyad," Journal of Business Research, Elsevier, vol. 42(1), pages 25-38, May.
    5. Eom, Sean B., 1998. "Relationships between the decision support system subspecialities and reference disciplines: An empirical investigation," European Journal of Operational Research, Elsevier, vol. 104(1), pages 31-45, January.
    6. Mauldin, Elaine G. & Ruchala, Linda V., 1999. "Towards a meta-theory of accounting information systems," Accounting, Organizations and Society, Elsevier, vol. 24(4), pages 317-331, May.
    7. 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.
    8. Denis Travaillé & Christine Marsal, 2007. "Automatisation des tableaux de bord et cohérence des comportements," Post-Print halshs-00534794, HAL.
    9. Montazemi, A. R. & Gupta, K. M., 1997. "On the effectiveness of cognitive feedback from an interface agent," Omega, Elsevier, vol. 25(6), pages 643-658, December.
    10. Takeda, Hirotoshi & Cuellar, Michael & Vidgen, Richard & Truex, Duane, 2011. "Networks of innovation in IS research: an exploration of the relationship between co-authorship networks and H-family indices," Economics Papers from University Paris Dauphine 123456789/8792, Paris Dauphine University.
    11. Denis Travaillé & Christine Marsal, 2007. "Automation of dashboards and the coherence of organizations: paradoxes and ambiguities based on two particular case studies," Working Papers CREGO 1070601, Université de Bourgogne - CREGO EA7317 Centre de recherches en gestion des organisations.
    12. Blonk, H. van der, 1996. "Rethinking the concept of information systems," Serie Research Memoranda 0020, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    13. Bernard Fallery, 2001. "Nouvelles technologies et travail du dirigeant," Post-Print hal-00777741, HAL.


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