| Abstract: |
The development of knowledge management systems (KMS) demands that knowledge be obtained, shared and regulated by individuals and knowledge-sharing organizational systems, such as knowledge repositories. People-Finder systems, a type of knowledge repository, attempt to manage knowledge by pointing to experts possessing speci®c knowledge within an organization. Details about such systems implemented at several organizations such as Hewlett±Packard, National Security Agency and Microsoft are presented. Insights, challenges and future development plans gained through the development of a People-Finder are discussed. Finally, concluding remarks about the role of arti®cial intelligence in the development of People-Finder KMS and automating the process of pro®le maintenance are discussed. q 2000 Elsevier Science B.V. All rights reserved.
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