Copyright © 2001 Elsevier Science Ltd. All rights reserved.
Expert systems for knowledge management: crossing the chasm between information processing and sense making
Available online 15 January 2001.
Abstract
Based on insights from research in information systems, information science, business strategy and organization science, this paper develops the bases for advancing the paradigm of AI and expert systems technologies to account for two related issues: (a) dynamic radical discontinuous change impacting organizational performance; and (b) human sense-making processes that can complement the machine learning capabilities for designing and implementing more effective knowledge management systems.
Author Keywords: Expert systems; Artificial intelligence; Knowledge management; Information systems; Information science; Business strategy; Discontinuous change; Sense making; Information processing
Article Outline
- 1. Introduction
- 2. State of related research and practice in AI and expert systems
- 3. Changing dynamics of organizational sustainability and performance
- 4. Transition from information processing to sense making
- 5. Implications of the contrast
- 6. Sense-making bases of human action and performance
- 7. Personal constructivist bases of sense making
- 8. Conclusion and issues for future research
- References
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