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The Uses of Game Theory in Management Science

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  • Martin Shubik

    (Princeton University)

Abstract

Since the war, there has been a great growth in interest in the theory of organization. The size of many modern organizations has brought to the surface problems of communication and decision-making of a very different nature to those confronted by smaller groups. A large organization appears to be both quantitatively and qualitatively different from a small one. Information flows and decisions that could be comfortably handled by one "jack-of-all-trades" executive in a small organization or in a dictatorial system, where wastage may be no problem, must be broken down and handled by many specialists. In many cases they may never reach the one-man decision level but are finally acted upon by groups. The need to understand these vital processes of decision-making has impelled us to lay emphasis upon the gathering and study of information, the evaluation of goals, and the role of the individual decision-maker. The new methods of game theory appear to provide an important approach to many of the problems of decision-making. In this survey of areas of application of game theory some problems which have been completely formulated, solved, and are of immediate practical value have been discussed in Sections 4 and 5. However, for those interested in the deeper and more important long-range problems which confront the researcher in the behavioral sciences, Section 6 indicates where some of the work of yesterday has taken place and where much of the work of tomorrow must lie.

Suggested Citation

  • Martin Shubik, 1955. "The Uses of Game Theory in Management Science," Management Science, INFORMS, vol. 2(1), pages 40-54, October.
  • Handle: RePEc:inm:ormnsc:v:2:y:1955:i:1:p:40-54
    DOI: 10.1287/mnsc.2.1.40
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    Cited by:

    1. Oluwakemi T. Oreagba & Olaleke O. Ogunnaike & Oladele J. Kehinde, 2021. "Capitalizing on Game Theory for Optimal Marketing Decision in Service Industry: Evidence From Telecommunication Industry in Nigeria," SAGE Open, , vol. 11(2), pages 21582440211, June.
    2. Peiqiu Guan & Jun Zhuang, 2015. "Modeling Public–Private Partnerships in Disaster Management via Centralized and Decentralized Models," Decision Analysis, INFORMS, vol. 12(4), pages 173-189, December.
    3. Wu, H. & Parlar, M., 2011. "Games with incomplete information: A simplified exposition with inventory management applications," International Journal of Production Economics, Elsevier, vol. 133(2), pages 562-577, October.
    4. Martin Shubik, 2002. "Game Theory and Operations Research: Some Musings 50 Years Later," Operations Research, INFORMS, vol. 50(1), pages 192-196, February.
    5. Theodore T. Allen & Olivia K. Hernand & Abdullah Alomair, 2020. "Optimal Off-line Experimentation for Games," Decision Analysis, INFORMS, vol. 17(4), pages 277-298, December.
    6. Oderanti, Festus Oluseyi & De Wilde, Philippe, 2010. "Dynamics of business games with management of fuzzy rules for decision making," International Journal of Production Economics, Elsevier, vol. 128(1), pages 96-109, November.
    7. Murnighan, J. Keith & Wang, Long, 2016. "The social world as an experimental game," Organizational Behavior and Human Decision Processes, Elsevier, vol. 136(C), pages 80-94.

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