Dynamic Knowledge Management Procedure Using Fuzzy Clustering

Enterprises typically achieve competitive advantage by implementing marketing strategies such as increasing quality, lowering price, innovating and providing excellent service. However, these strategies are easily imitated. Knowledge, however, is a critical invisible capital that enterprises utilize to avoid competitor imitation. Additionally, knowledge management is a variety of business process re-engineering. Therefore, constructing an effective knowledge management procedure is important in competitive environments. This study presents a novel dynamic knowledge management procedure based on fuzzy clustering. The procedural goal is to decompose an equivalence class, in which activities with similar information loading. This study also utilizes a tearing method to construct a reasonable executive ordering of activities. Decision-makers revised analytical results based on actual status and experience. An empirical case is utilized to validate the proposed approach.