Evaluating Effective Factors of Implementing Knowledge Management Based on FAHP Method

Abstract

Knowledge management is very important factor for organization success in present competitive world. Because implementation of knowledge management is always influenced by various factors, identification and taxonomy of these factors have positive effects on successful implementation of knowledge management. In this paper fuzzy analytical hierarchy process (FAHP) method is exploited as a means of key effective factors evaluation methodology to prioritize and organize factors faced in knowledge management processes. Key knowledge management factors are studied for 33 knowledge-based organizations in Iran that identifies 3 general dimensions affecting knowledge management (human, technology and organization). Then expert qualitative judgments about these factors are acquired. Translating these judgments to fuzzy numbers and using them as an input to FAHP, key effective factors are then ranked and prioritized by FAHP in order to focus on important factors that influence on knowledge management implementation successfully.