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Modeling the Metrics of Individual, Organizational and Technological Knowledge Sharing Barriers: An Analytical Network Process Approach
Abstract
In today's knowledge-based business, knowledge is the only source of competitive advantage for engineering industries. Knowledge sharing plays an important role in the success of knowledge management (KM). Knowledge sharing barriers (KSBs) become obstacles for KM to achieve the goals of the industries. In this paper, three categories of KSBs have been identified such as individual, organizational and technological. The main purpose of this research is to measure the effectiveness of individual, organizational and technological KSBs by the application of an analytical network process (ANP) framework which helps to the managers for taking decision to enhance the successful knowledge sharing in the engineering industries. An ANP framework has been developed with the help of identified determinants, dimensions and enablers to evaluate alternatives such as individual, organizational and technological KSBs. Results indicate that the organizational KSBs have the maximum effect on knowledge sharing followed by technological and individual KSBs.
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