Discovering KM Features of High-Performance Companies
نویسنده
چکیده
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. Key-words: Explicit knowledge, Tacit knowledge, Knowledge management, Performance, Qualitative analysis, Rough sets
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