Document Type : Original Article
Authors
1
Ph.D. in Industrial Management, Department of Management, College of Humanities, Hamedan Branch, Islamic Azad University, Hamedan, Iran. responsible author
2
Master of Business Administration, Department of Management, College of Humanities, Tehran Branch, Payam Noor University, Tehran, Iran
3
Ph.D. student in Industrial Engineering, Department of Industrial Engineering, Faculty of Industrial Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran.
4
Ph.D. student in Industrial Engineering, Department of Industrial Engineering, Faculty of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
Abstract
Today, knowledge is a competitive source and military power for the defense industry and one of the most important needs of defensive organizations to maintain national security in the country and defend borders is to have a Knowledge Management (KM) performance measurement model. The purpose of this study is to provide a causal model for measuring KM performance in one of the defensive organizations. Based on an in-depth review of previous studies and adjustment of defensive experts' opinions, indicators related to measuring the KM performance were extracted, and then, the constructions of the proposed model were determined using exploratory factor analysis and confirmatory factor analysis techniques. Finally, the causal relationships of the research model constructs were investigated using the structural equation modeling technique. The findings revealed that the four main criteria were identified and verified, namely "knowledge quality", "knowledge utility", "knowledge innovation" and "defensive results". Causal relationships between model criteria are also significant. This study could develop literature on KM performance measurement in defensive organizations. The obtained results could be utilized by policymakers and senior managers of defensive organizations to evaluate KM performance and improve the productivity of defensive projects.
Keywords