“Balancing Knowledge Strategy: Codification and Personalization During Product Development”,

Kumar, Ajith J and Ganesh, L S (2011) “Balancing Knowledge Strategy: Codification and Personalization During Product Development”,. Journal of Knowledge Management, 15 (1). pp. 118-135.

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Abstract

Purpose – This paper aims to understand the knowledge strategies followed by product development (PD) units in Indian manufacturing firms. Design/methodology/approach – Following literature, knowledge strategy was characterized in terms of “codification” and “personalization”. A total of 284 employees across 19 different PD units spread across India were surveyed to understand the knowledge strategies followed. Using SPSS, various statistical tests and analyses were conducted. Findings– Personalization was consistently the preferred strategy across the PD units; however, the balance of personalization and codification was not quite in the 80‐20 ratio (one strategy practised predominantly with the other in a supporting role) as suggested by some strands of previous research, and this did not have any strikingly visible negative influences on product development performance. Further, organizations do not differ as much from each other on levels of codification, as they do on personalization. Research limitations/implications – In contexts such as product development, it may be important to pursue knowledge strategies with greater equanimity compared with other contexts that previous research has highlighted. The study bears implications not only for the formulation and implementation of knowledge strategies during product development, but also for the body of enquiry into managing knowledge in organizations. Originality/value – The research contributes to a relatively less researched area in knowledge management and suggests directions for future work in the area.

Item Type:	Article
Uncontrolled Keywords:	Knowledge Management; Product Development
Subjects:	Operations Management Operations Management > Product Development/Management
Divisions:	Operations and Information Science
Depositing User:	Mr. Ramesh Kamath
Date Deposited:	17 Nov 2018 12:37
Last Modified:	02 Mar 2019 06:13
URI:	http://tapmi.informaticsglobal.com/id/eprint/409

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