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Management of reengineering knowledge: AI‐based approaches

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  • Daniel E. O'Leary

Abstract

Knowledge about ‘best practices’ for reengineering can be critical to a firm's ability to evolve and respond to competition. As a result, this paper addresses the issue of how to manage reengineering knowledge. Multiple forms of knowledge representation are adapted to address two primary issues: When and what should a firm reengineer? Four different knowledge‐based models and prototypes are developed to illustrate capture of particular types of reengineering knowledge. The prototypes are used to draw inferences about issues in knowledge management and to illustrate feasibility. Distribution of best practices reengineering knowledge can then be accomplished using knowledge servers or making software and knowledge bases available to download off the world wide web. Copyright © 2000 John Wiley & Sons, Ltd.

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  • Daniel E. O'Leary, 2000. "Management of reengineering knowledge: AI‐based approaches," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 9(2), pages 107-118, June.
    • Handle: RePEc:wly:isacfm:v:9:y:2000:i:2:p:107-118
    DOI: 10.1002/1099-1174(200006)9:23.0.CO;2-J
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    References listed on IDEAS

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    1. Hammer, Michael & Champy, James, 1993. "Reengineering the corporation: A manifesto for business revolution," Business Horizons, Elsevier, vol. 36(5), pages 90-91.
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