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The Fact-Net Model: A Problem Diagnosis Procedure

Author

Listed:
  • Hindupur V. Ramakrishna

    (Information Management Department, University of Connecticut, Storrs, Connecticut 06268)

  • Harvey J. Brightman

    (Decision Sciences Department, Georgia State University, Atlanta, Georgia 30303)

Abstract

Solving the wrong problem, or type 3 error, is often what separates the effective from the ineffective management scientist. Management scientists commit type 3 errors because they lack formal training in problem identification techniques. There are logical and rational problem identification approaches for diagnosing operational, managerial, and strategic problems. The fact-net model, a diagnostic procedure developed by the authors, is applied to a real-world, unstructured operational problem along with two other currently used methods, and the three methods are compared.

Suggested Citation

  • Hindupur V. Ramakrishna & Harvey J. Brightman, 1986. "The Fact-Net Model: A Problem Diagnosis Procedure," Interfaces, INFORMS, vol. 16(6), pages 86-94, December.
    • Handle: RePEc:inm:orinte:v:16:y:1986:i:6:p:86-94
    DOI: 10.1287/inte.16.6.86
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    Cited by:

    1. Mario COCCIA, 2017. "The Fishbone diagram to identify, systematize and analyze the sources of general purpose technologies," Journal of Social and Administrative Sciences, KSP Journals, vol. 4(4), pages 291-303, December.
    2. Mario Coccia, 2017. "General purpose technologies in dynamic systems: visual representation and analyses of complex drivers," IRCrES Working Paper 201705, CNR-IRCrES Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY - former Institute for Economic Research on Firms and Growth - Torino (TO) ITALY.

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    Keywords

    problem diagnosis;

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