Please use this identifier to cite or link to this item: https://doi.org/10.1108/JKM-04-2013-0127
DC FieldValue
dc.titleBalancing codification and personalization for knowledge reuse: A Markov decision process approach
dc.contributor.authorLiu, H.
dc.contributor.authorChai, K.-H.
dc.contributor.authorNebus, J.F.
dc.date.accessioned2014-06-18T04:53:58Z
dc.date.available2014-06-18T04:53:58Z
dc.date.issued2013
dc.identifier.citationLiu, 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
dc.identifier.issn13673270
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/67712
dc.description.abstractPurpose: 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1108/JKM-04-2013-0127
dc.sourceScopus
dc.subjectCost/benefit analysis
dc.subjectDecision making
dc.subjectKnowledge management
dc.subjectKnowledge reuse
dc.subjectKnowledge sharing
dc.subjectMarkov decision process
dc.subjectModelling
dc.typeArticle
dc.contributor.departmentDIVISION OF ENGINEERING AND TECH MGT
dc.description.doi10.1108/JKM-04-2013-0127
dc.description.sourcetitleJournal of Knowledge Management
dc.description.volume17
dc.description.issue5
dc.description.page755-772
dc.identifier.isiut000326313800008
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

16
checked on Aug 24, 2019

WEB OF SCIENCETM
Citations

14
checked on Aug 16, 2019

Page view(s)

87
checked on Aug 18, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.