Abstract
In the knowledge-based economy, the survival and growth of the engineering industries depends upon the knowledge management (KM). In the present environment, KS is the corner stone of the KM. Some variables hinder KS in the industries are known as knowledge sharing barriers (KSBs). The objective of this paper is to identify and recognize the critical KSBs and their mutual influences in the industries. The interpretive structural modeling (ISM) methodology has been used to develop hierarchy of the identified KSBs evolving their mutual relationships. Identified KSBs at the root of the hierarchy (called driving KSBs) and at the top of the hierarchy (called dependent KSBs). It is observed that two KSBs namely “lack of top management commitment” and “KM is not well understood” have highest driving power. Therefore, these KSBs require serious attention by the managers in the engineering industries. The study concludes with discussion and managerial implications.
Paper version not known (
Free)
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call