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Decision Making

Editor

Listed:
  • Bell,David E.
  • Raiffa,Howard
  • Tversky,Amos

Abstract

The analysis of decision making under uncertainty has again become a major focus of interest. This volume presents contributions from leading specialists in different fields and provides a summary and synthesis of work in this area. It is based on a conference held at the Harvard Business School. The book brings together the different approaches to decision making - normative, descriptive, and prescriptive - which largely correspond to different disciplinary interests. Mathematicians have concentrated on rational procedures for decision making - how people should make decisions. Psychologists have examined how poeple do make decisions, and how far their behaviour is compatible with any rational model. Operations researchers study the application of decision models to actual problems. Throughout, the aim is to present the current state of research and its application and also to show how the different disciplinary approaches can inform one another and thus lay the foundations for the integrated analysis of decision making. The book will be of interest to researchers, teachers - for use as background reading for a decision theory course - students, and consultants and others involved in the practical application of the analysis of decision making. It will be of interest to specialists and students in statistics, mathematics, economics, psychology and the behavioural sciences, operations research, and management science.

Suggested Citation

  • Bell,David E. & Raiffa,Howard & Tversky,Amos (ed.), 1989. "Decision Making," Cambridge Books, Cambridge University Press, number 9780521368513.
    • Handle: RePEc:cup:cbooks:9780521368513
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    Citations

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    Cited by:

    1. Eric Bonabeau & Andrej Sobkowski & Guy Theraulaz & Jean-Louis Deneubourg, 1998. "Adaptive Task Allocation Inspired by a Model of Division of Labor in Social Insects," Working Papers 98-01-004, Santa Fe Institute.
    2. Sterman, John & Booth Sweeney, Linda, 2003. "Cloudy Skies: Assessing Public Understanding of Global Warming," Working papers 4361-02, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    3. Forgas, Joseph P. & George, Jennifer M., 2001. "Affective Influences on Judgments and Behavior in Organizations: An Information Processing Perspective," Organizational Behavior and Human Decision Processes, Elsevier, vol. 86(1), pages 3-34, September.
    4. Bhargava, Vivek & Brooks, Robert, 2002. "Exploration of the role of expectations in foreign exchange risk management," Journal of Multinational Financial Management, Elsevier, vol. 12(2), pages 171-189, April.
    5. John R. Hamman & George Loewenstein & Roberto A. Weber, 2010. "Self-Interest through Delegation: An Additional Rationale for the Principal-Agent Relationship," American Economic Review, American Economic Association, vol. 100(4), pages 1826-1846, September.
    6. Kropff, M. J. & Teng, P. S. & Rabbinge, R., 1995. "The challenge of linking pest and crop models," Agricultural Systems, Elsevier, vol. 49(4), pages 413-434.
    7. Sterman, John & Booth Sweeney, Linda, 2002. "Cloudy Skies: Assessing Public Understanding of Global Warming," Working papers 4361-02, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    8. Carlson, John G. & Yao, Andrew C., 1996. "A visually interactive expert system for a distribution center environment," International Journal of Production Economics, Elsevier, vol. 45(1-3), pages 101-109, August.

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