Please use this identifier to cite or link to this item: https://doi.org/10.1108/JKM-04-2013-0127
Title: Balancing codification and personalization for knowledge reuse: A Markov decision process approach
Authors: Liu, H.
Chai, K.-H. 
Nebus, J.F.
Keywords: Cost/benefit analysis
Decision making
Knowledge management
Knowledge reuse
Knowledge sharing
Markov decision process
Modelling
Issue Date: 2013
Citation: Liu, H., Chai, K.-H., Nebus, J.F. (2013). Balancing codification and personalization for knowledge reuse: A Markov decision process approach. Journal of Knowledge Management 17 (5) : 755-772. ScholarBank@NUS Repository. https://doi.org/10.1108/JKM-04-2013-0127
Abstract: Purpose: This paper aims to provide a systematic framework for organizations to analyze their knowledge reuse processes, and balance codification and personalization within their knowledge strategy according to cost/benefit analysis. Design/methodology/approach: This paper divides knowledge reuse process into a sequence of five stages, and accordingly analyzes costs/benefits under codification and personalization strategies. Markov decision process, a mathematical framework for multi-stage decision-making, is employed to optimize a mixed strategy for knowledge reuse processes within an organization. Findings: Organizations need to consider factors such as the number of reusable knowledge items, reuse patterns, and intra-organizational interest alignment which are critical to determine their optimal mix between codification and personalization. Companies should determine a knowledge strategy based on their knowledge reuse contexts instead of following success cases blindly. Research limitations/implications: This paper presents an illustrative example to show how this framework might be applied by an organization. However, the validity and reliability of strategic decision-making also depends on the accuracy of the model's parameter values. Firms can adopt many methods as surveys, Delphi method, to determine the parameter values. Practical implications: The proposed framework offers an opportunity for firms to gain insights by setting the model's parameters to their own reuse contexts/characteristics and conducting what-if analysis. Originality/value: This paper proposes a formal framework for analyzing knowledge reuse processes and offers organizations guidelines about decision-making of knowledge strategies. © Emerald Group Publishing Limited.
Source Title: Journal of Knowledge Management
URI: http://scholarbank.nus.edu.sg/handle/10635/67712
ISSN: 13673270
DOI: 10.1108/JKM-04-2013-0127
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