Building expert systems
Knowledge-based systems for management decisions
Knowledge-based systems for management decisions
The intelligent PC: knowledge-based solutions for today's business problems
The intelligent PC: knowledge-based solutions for today's business problems
If we could do it over we'd…: learning from less-than-successful expert system projects
Journal of Systems and Software - Special issue on expert systems that failed
Early expert systems: where are they now?
MIS Quarterly
Information Processing and Management: an International Journal
Knowledge Management Case-Toolkit for the Support of ERP Modelling and Optimal Adaptation Procedure
PAKM '02 Proceedings of the 4th International Conference on Practical Aspects of Knowledge Management
Expert Systems with Applications: An International Journal
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The effective use of Information Technology (IT) to help modern companies improve service quality, financial performance, customer satisfaction and productivity is a very crucial issue nowadays. Intelligent solutions, based on Expert Systems (ES), to solve complicated practical problems in various sectors are becoming more and more widespread. However, the real success of applied expert systems in the improvement of companies' performance is being investigated by the research community. In this framework, the primary objective of this paper is to present what is important for a successful ES application in terms of quality and what kind of mistakes can be made. Our analysis is based on an empirical evaluation of three ES applications that have successfully been in industrial use for a long time and in the development of which we have been personally involved. The key findings are expressed as 14 hypotheses for a successful ES. The support of each application to the hypotheses is discussed.