Modeling the Metrics of Individual, Organisational and Technological Knowledge Sharing Barriers: An Analytical Network Process Approach

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, organisational and technological. The main purpose of this research is to measure the effectiveness of individual, organisational and technological KSBs which helps the managers for taking decision to enhance the successful knowledge sharing strategy in the engineering industries. In this paper, an analytical network process (ANP) framework has been developed with the help of identified determinants, dimensions and enablers to evaluate the effectiveness of alternatives such as individual, organisational and technological KSBs. As per evaluation, the organisational KSBs have the maximum effect on knowledge sharing followed by technological and individual KSBs.