Knowledge management performance evaluation based on ANP

Knowledge management is considered as a critical process in organizations. With the scope of this paper, 4 first-level indices and 16 second-level indices were chosen to construct a knowledge management evaluation index system on the basis of research both domestic and international on knowledge management. A new appraisal method - analytic network process (ANP) has been adopted to model a multi-criteria knowledge management performance evaluation feedback system. Theoretical foundations and application processes of ANP were discussed and dependence and feedback among indices were analyzed. The result of ANP model for the index system was obtained with super decisions software solution. ANP can solve problems with dependent indices effectively rather than analytic hierarchy process (AHP).