Abstract

 


 



Personalization or Codification? A Marketing Perspective to Optimize Knowledge Reuse Efficiency


Kah-Hin Chai


National University of Singapore (NUS) - Department of Industrial & Systems Engineering

James Nebus


affiliation not provided to SSRN

February 23, 2011

IEEE Transactions on Engineering Management, Vol. 12, No. 1, pp. 33-51, 2012

Abstract:     
Organizations continue to struggle with low returns on knowledge management (KM) investments. This paper’s goal is to prescribe a KM strategy that maximizes organizational knowledge reuse efficiency (KRE). Knowledge reuse is defined as the totality of all knowledge transfers, from all producers to all consumers in the same organization, over all locations. Organizational inefficiencies result from individual knowledge producers and consumers having different priorities and agendas during the knowledge exchange. Furthermore, these producers’ and consumers’ priorities overlap with, but are not congruent with, the organization’s priorities to maximize knowledge reuse efficiency. By combining a marketing perspective with a marketing consumer stages process model of knowledge reuse, we develop a contingency model which prescribes the strategy which maximizes KRE. The organizational characteristics on which the model is contingent include organization size, the number of knowledge producers, consumers, these producer and consumer costs and utilities during the knowledge transfer, and the organization’s KM infrastructure costs. The prescribed approach specifies the degree to which a personalization and codification strategy should be combined to optimize KRE, contrary to some suggestions in the literature. A simulation supports that the model’s prescribed strategy is not overly sensitive to its contingency variables.

Keywords: codification, knowledge management, personalization

Accepted Paper Series


Date posted: February 24, 2012  

Suggested Citation

Chai, Kah-Hin and Nebus, James, Personalization or Codification? A Marketing Perspective to Optimize Knowledge Reuse Efficiency (February 23, 2011). IEEE Transactions on Engineering Management, Vol. 12, No. 1, pp. 33-51, 2012. Available at SSRN: http://ssrn.com/abstract=1767951

Contact Information

Kah-Hin Chai (Contact Author)
National University of Singapore (NUS) - Department of Industrial & Systems Engineering ( email )
10 Kent Ridge Crescent
Singapore, 115260
Singapore
65 6516-2250 (Phone)
65 6777-1434 (Fax)
James Nebus
affiliation not provided to SSRN
Feedback to SSRN (Beta)


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