Knowledge management implementation: Analytic hierarchy process methodology

Abstract

The aim of this paper is to understand of Knowledge Management variables (KMVs) and to identify priority weights. It uses analytic hierarchy process (AHP) methodology to prioritize KMVs for supporting the knowledge management (KM) implementation in organizations. These KMVs are selected form the literature reviews and expert discussion. The pair wise comparisons of KMVs (usually, alternatives and attributes) can be established using a scale indicating the strength with which one KMV dominates another with respect to a higher-level KMV. This scaling process can then be translated into priority weights. The AHP can be a useful guide in the decision making process of KM implementation. It has been observed KMV 1 has high priority weights. © 2011 IEEE.