Using Knowledge Management Processes in order to Prioritize Organizations by Fuzzy TOPSIS method; with a Case Study

Abstract

Nowadays, knowledge management has become a key element of knowledge-based organizations activities. These companies attempt to effectively and efficiently use of their intellectual investments and knowledge resources in order to achieve strategic objectives executing various knowledge management projects. This research is done to Prioritize organizations based on knowledge management processes. Therefore, in first step, the general model of knowledge comprised 4 processes of knowledge creation, knowledge storage, knowledge sharing and application of knowledge, are selected and they were weighted by the experts regards. The statistical population of this research was the chief and middle managers of the companies and a questionnaire was used to collect information. Then Fuzzy TOPSIS, one of multi criteria decision making algorithms was applied to Prioritize automotive part manufacturing companies. The results of prioritizing the organizations through Fuzzy TOPSIS model revealed that PeymanSanat company has the first rank in the field of knowledge management processes with the similarity indicator of 0.5975, and sensitivity analysis revealed the knowledge preservation and knowledge creation are the most effective factors.