Evaluation of Knowledge Management Levels Based on Multi Criteria Analysis

摘要

For thousands of years, humans have been discussing the meaning of knowledge, what it is to know something, and how people can generate and share new knowledge. It is interesting to consider, that despite the pervasiveness of epistemological discussions throughout history, the world of business has begun to recognize the importance of knowledge as a resource recently, and today, it is considered as a leading driving force behind any organization. Today, organizations are getting involved in more and more knowledge management (KM) activities, out of which performance of knowledge management has acquired prime importance. The performance evaluation of knowledge management is a scientific evaluation of the effectiveness of organizing knowledge management activity. In present research work, evaluation of knowledge management levels based on multi criteria analysis is proposed by the candidate. For this purpose, different Multi criteria analysis (MCA) techniques, Analytical Hierarchy Process (AHP), Simple Additive Weighting (SAW), TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), and Vi?ekriterijumsko Kompromisno Rangiranje or Compromise Ranking (VIKOR), are used for evaluation of alternatives. For the purpose hidden variable identification for a set of KM evaluation criteria, a well known multivariate technique Principal Component Analysis (PCA) is also used.