Modeling of Knowledge Management Technologies: An ISM Approach

Abstract

In the knowledge-driven economy, knowledge becomes the only source to enhance the productivity of industries. Knowledge drives strategies and strategies drive Knowledge Management (KM). KM is a tool to capture the useful knowledge to translate it into actionable form of the organization by effective sharing and reuse. Smooth knowledge flow and its sharing is the backbone of KM. Technologies play an important role to enhance effective Knowledge Sharing (KS) within the industry. Therefore, it is important to identify and recognize KMTechnologies (KMTs) in the industries to enhance smooth sharing of tacit as well as explicit knowledge. In this study, 24 KMTs have been identified as basic facilitators of KS and KM. Interpretive Structural Modeling (ISM) has been used to evolve mutual relationships among the KMTs. Identification of KMTs at the root of the hierarchy (called driving KMTs) and those at the top of the hierarchy (called dependent KMTs) is the main aim of this research. The hierarchy of the KMTs obtained from ISM model will assist the senior managers to integrate them according to their driving power to improve the effectiveness of KM.

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