loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06)
A Decision Model for Benchmarking Knowledge Management Practices
Sydney Australia
November 28-December 01
ISBN: 0-7695-2731-0
Hepu Deng, RMIT University, Australia
This paper presents a decision model for benchmarking and evaluating organizational knowledge management (KM) practices. Linguistic variables approximated by fuzzy numbers are used for adequately handling the subjectiveness and imprecision of the evaluation process. Pairwise comparison is adopted in the evaluation process for greatly reducing the cognitive burden of the decision maker. A fuzzy multicriteria analysis algorithm is developed for generating an overall ranking of all the organizations regarding their KM practices. As a result, the relative performance of organizations in managing their knowledge can be properly assessed, and effective decisions can be made for further improving their KM practices. An empirical study in evaluating the KM practices at Victorian local governments in Australia is presented for demonstrating the applicability of the proposed decision model in real situations.
Citation:
Hepu Deng, "A Decision Model for Benchmarking Knowledge Management Practices," cimca, pp.233, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.