DocumentCode
2289442
Title
Evolution game analysis of knowledge-sharing based on organization knowledge structure
Author
Liu, Chen ; Zhang, Qing-Pu ; Shan, Wei
Author_Institution
Sch. of Manage., Harbin Inst. of Technol., Harbin, China
fYear
2009
fDate
14-16 Sept. 2009
Firstpage
1110
Lastpage
1115
Abstract
Knowledge sharing is evolutionary dynamic process within organizations. This paper use evolutionary game theory to study the dynamics of knowledge sharing. First, organization knowledge structure was analyzed according to the organization members´ knowledge sets. Based on organization knowledge structure, knowledge sharing game is classed into four types, which are intersection, disjoint, superposition, inclusion, etc. Then, the replicator dynamics of knowledge sharing is built, and evolutionary stable strategy (ESS) of knowledge-sharing are analyzed. Results show that, to achieve high-level organization knowledge-sharing, the share strategy must be ESS and the initial state of organization must be in the stable region of ESS. Organization can adjust their knowledge structure and use proper excitation methods to get a well initial state for a high level of knowledge sharing.
Keywords
evolutionary computation; game theory; knowledge management; organisational aspects; ESS; disjoint type; evolution game analysis; evolutionary dynamic process; evolutionary stable strategy; excitation method; inclusion type; intersection type; knowledge-sharing; organization knowledge structure; organization member knowledge set; replicator dynamics; superposition type; Aerodynamics; Asymptotic stability; Conference management; Electronic switching systems; Engineering management; Evolution (biology); Game theory; Knowledge engineering; Knowledge management; Technology management; evolutionary game analysis; evolutionary stable strategy; knowledge sharing; organization knowledge structure;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Engineering, 2009. ICMSE 2009. International Conference on
Conference_Location
Moscow
Print_ISBN
978-1-4244-3970-6
Electronic_ISBN
978-1-4244-3971-3
Type
conf
DOI
10.1109/ICMSE.2009.5318132
Filename
5318132
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