A guide to expert systems
Building expert systems
An overview of knowledge-acquisition and transfer
International Journal of Man-Machine Studies
Knowledge systems for business: integrating expert systems & MIS
Knowledge systems for business: integrating expert systems & MIS
Expert systems for configuration at Digital: XCON and beyond
Communications of the ACM
The rise of the expert company
The rise of the expert company
An introduction to database systems: vol. 1 (5th ed.)
An introduction to database systems: vol. 1 (5th ed.)
Building a distributed expert system capability
Managing expert systems
What we know about spreadsheet errors
Journal of End User Computing - End User Development
Embedding formal knowledge models in active documents
Communications of the ACM
Managing knowledge for strategic advantage in the virtual organisation
SIGCPR '99 Proceedings of the 1999 ACM SIGCPR conference on Computer personnel research
On the criteria to be used in decomposing systems into modules
Communications of the ACM
Knowledge management systems: issues, challenges, and benefits
Communications of the AIS
Business components: a case study of bankers trust Australia limited
Communications of the ACM
Understanding Decision Support Systems and Expert Systems
Understanding Decision Support Systems and Expert Systems
Principles of Database Systems
Principles of Database Systems
Composite Structure Design
A Software Engineering Tool for Expert System Design
IEEE Expert: Intelligent Systems and Their Applications
Expert System Development: A Retrospective View of Five Systems
IEEE Expert: Intelligent Systems and Their Applications
Intellectics and Computational Logic (to Wolfgang Bibel on the occasion of his 60th birthday)
Breaking the Knowledge Acquisition Bottleneck Through Conversational Knowledge Management
Information Resources Management Journal
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Knowledge is receiving recognition as a strategic force in organizations. Correspondingly, one form of knowledge capture and maintenance organizations are tempted to use is expert system design by end users. The chapter discusses difficulties associated with end-user development, both in terms of design quality and knowledge content. An analysis of 25 expert systems written by non-professional developers reveals significant quality and size limitations that indicate limited feasibility of end-user expert system development. Furthermore, the lack of design quality may not be easily compensated for by a "knowledge advantage" of the end users, as end users may have a performance advantage in using their knowledge, but not in "knowing" it. The chapter then offers suggestions for alternate forms of end-user oriented expert system development that considers end-user limitations and takes advantage of recent developments in information technology.