Knowledge management implementation: modelling the variables

R. Kant and M.D. Singh

International Journal of Innovation and Learning, 2009, vol. 6, issue 3, 342-361

Abstract: The purpose of this paper is to present an approach to Knowledge Management (KM) implementation in organisations by understanding the dynamics between the various Knowledge Management Variables (KMVs). Using Interpretive Structural Modelling (ISM), the research presents a hierarchy-based model and the mutual relationships among the KMVs. The research shows that there is a group of KMVs that have a high driving power and low dependence power that require maximum attention and are of strategic importance, while another group consists of those KMVs which have a high dependence power and low driving power. A key finding of this research is that leadership is the main driver for KM implementation.

Keywords: driving power; dependence power; interpretive structural modelling; ISM; innovation; knowledge management implementation; knowledge management variables; KMVs; learning. (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (1)

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