Knowledge management implementation: modelling the variables
by R. Kant, M.D. Singh
International Journal of Innovation and Learning (IJIL), Vol. 6, No. 3, 2009

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.

Online publication date: Tue, 17-Feb-2009

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Innovation and Learning (IJIL):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com