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Exploring KM Features of High-Performance Companies.

Authors :
Wei-Wen Wu
Source :
AIP Conference Proceedings. 12/26/2007, Vol. 963 Issue 2, p1012-1015. 4p. 1 Diagram.
Publication Year :
2007

Abstract

For reacting to an increasingly rival business environment, many companies emphasize the importance of knowledge management (KM). It is a favorable way to explore and learn KM features of high-performance companies. However, finding out the critical KM features of high-performance companies is a qualitative analysis problem. To handle this kind of problem, the rough set approach is suitable because it is based on data-mining techniques to discover knowledge without rigorous statistical assumptions. Thus, this paper explored KM features of high-performance companies by using the rough set approach. The results show that high-performance companies stress the importance on both tacit and explicit knowledge, and consider that incentives and evaluations are the essentials to implementing KM. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
963
Issue :
2
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
28154329
Full Text :
https://doi.org/10.1063/1.2835910