481-486

• Wu, Wei-Wen

For purposes of reacting to an increasingly competitive business environment, many companies emphasize the importance of knowledge management (KM), thus, it is a worthwhile project to explore and learn about KM features of high-performance companies. Discovering and describing 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 embodies data-mining techniques which enable us to discover knowledge without rigorous statistical assumptions. This paper sets out to explore KM features of high-performance companies using the rough set approach. The results show that higher performing companies generally tend to be more explicit-oriented and less tacit-oriented. They also tend to consider the dimensions involved in the KM purpose and the factors crucial for success.

• Economics and Business

• Knowledge economy
• Business management

explicit knowledge, tacit knowledge, knowledge management, performance, qualitative analysis, rough sets

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