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A validated expert system for decision making in corporate recovery

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  • Philip A Collier
  • Stewart A Leech
  • Nicole Clark

Abstract

This paper describes INSOLVE—an expert system for corporate recovery decisions. INSOLVE was built to understand the decision‐making processes of corporate recovery experts who deal with companies in financial difficulties. INSOLVE has been developed using a multi‐phase process similar to that widely adopted in software engineering. The expert system is described in terms of the assessment task and interpretation models of CommonKADS. The detailed results of the validation of INSOLVE with 17 experts show that it is an accurate model of human expertise in this domain. Copyright © 1999 John Wiley & Sons, Ltd.

Suggested Citation

  • Philip A Collier & Stewart A Leech & Nicole Clark, 1999. "A validated expert system for decision making in corporate recovery," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 8(2), pages 75-88, June.
    • Handle: RePEc:wly:isacfm:v:8:y:1999:i:2:p:75-88
    DOI: 10.1002/(SICI)1099-1174(199906)8:23.0.CO;2-T
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    References listed on IDEAS

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    1. Peters, James M. & Lewis, Barry L. & Dhar, Vasant, 1989. "Assessing inherent risk during audit planning: The development of a knowledge based model," Accounting, Organizations and Society, Elsevier, vol. 14(4), pages 359-378, July.
    2. Peters, Jm, 1990. "A Cognitive Computational Model Of Risk Hypothesis Generation," Journal of Accounting Research, Wiley Blackwell, vol. 28, pages 83-103.
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    Cited by:

    1. Vicky Arnold & Nicole Clark & Philip A. Collier & Stewart A. Leech & Steve G. Sutton, 2004. "Explanation provision and use in an intelligent decision aid," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 12(1), pages 5-27, January.
    2. Sutton, Steve G. & Arnold, Vicky & Collier, Phil & Leech, Stewart A., 2021. "Leveraging the synergies between design science and behavioral science research methods," International Journal of Accounting Information Systems, Elsevier, vol. 43(C).
    3. Daniel E. O'Leary, 2009. "Downloads and citations in Intelligent Systems in Accounting, Finance and Management," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 16(1‐2), pages 21-31, January.

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