REDUCING RISK IN THE ENTERPRISE - Proposal for a Hybrid Audit Expert System

Susan Clemmons, Kenneth Henry

2005

Abstract

This paper theorizes the use of a hybrid expert system to support a complete audit of financial statements for an enterprise. The expert system proposed would support the audit process by using two types of artificial intelligence technologies: case-based reasoning and fuzzy logic technologies. The case base and automated reasoning recommendations would give the auditing firm another insight on the audit. Unlike previous audit expert systems, this system is intended to focus broadly on an enterprise’s entire financial statement audit process; it combines a case based knowledge representation with fuzzy logic processing. The attempt at capturing a wide domain is necessary to support organizational decision-making. Focusing on narrow decision points within an audit process limits the users and usefulness of the system.

References

  1. Bailey, A. D., K. Hackenbrack, et al. (1987). "Artificial Intelligence, Cognitive Science and Computational Modeling in Auditing Research: A Research Approach." Journal of Information Systems (Spring): 20-40.
  2. Concepts, C. o. B. A. (1973). A Statement of Basic Auditing Concepts. Sarasota, FL, American Accounting Association.
  3. Fetter, R. B. and C. McMillan (1987). Business Expert Systems. Homewood, Illinois, Irwin.
  4. Giarratano, J. and G. Riley (1998). Expert Systems Principles and Programming. Boston, PWS Publishing Company.
  5. Hayes-Roth, F., D. A. Waterman, et al. (1983). Building Expert Systems. Reading Mass, Addision-Wesley Publishing Company.
  6. Kesh, S. (1995). "Case Based Reasoning." Journal of Systems Management: 14-19.
  7. Lenard, M. J., P. Alam, et al. (2001). "Decision-Making Capabilities of a Hybrid System Applied to the Auditor's Going Concern Assessment." International Journal of Intelligent Systems in Accounting, Finance, and Management 10: 1-24.
  8. Nolan, J. R. (1998). "An expert fuzzy classification system for supporting the grading of student writing samples." Expert Systems with Applications 15: 59- 68.
  9. Turban, E. (1988). Decision Support and Expert Systems. New York, Macmillan Publishing Company.
  10. Turban, E. (1992). Expert Systems and Applied Artificial Intelligence. New York, New York, Macmillan Publishing Company.
  11. Wong, B. K. and J. A. Monaco (1995). "Expert System Applications in business: A review and analysis of the literature (1977-1993)." Information and Management 29: 141-152.
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Paper Citation


in Harvard Style

Clemmons S. and Henry K. (2005). REDUCING RISK IN THE ENTERPRISE - Proposal for a Hybrid Audit Expert System . In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-19-8, pages 260-266. DOI: 10.5220/0002540702600266


in Bibtex Style

@conference{iceis05,
author={Susan Clemmons and Kenneth Henry},
title={REDUCING RISK IN THE ENTERPRISE - Proposal for a Hybrid Audit Expert System},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2005},
pages={260-266},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002540702600266},
isbn={972-8865-19-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - REDUCING RISK IN THE ENTERPRISE - Proposal for a Hybrid Audit Expert System
SN - 972-8865-19-8
AU - Clemmons S.
AU - Henry K.
PY - 2005
SP - 260
EP - 266
DO - 10.5220/0002540702600266