Multi-agent modeling and simulation on knowledge sharing within innovation network members - 文章详情页

作者：

Ruan, Guoxiang (Ruan, Guoxiang.) | Ruan, Pingnan (Ruan, Pingnan.) (学者：阮平南)

收录：

EI Scopus

摘要：

The　efficient　knowledge　sharing　is　the　key　element　for　innovation　network＇s　success.　The　strategies　are　classified　as　＇sharing＇,　＇no-sharing＇　and　＇retaliation＇,　and　the　game　model　of　knowledge　sharing　is　set　up　in　terms　of　the　evolutionary　game　theory.　The　simulation　model　is　constructed　with　the　Netlogo　software　platform,　with　which　the　evolutionary　game　equilibrium　status　of　knowledge　sharing　is　analyzed　according　to　different　payoff　value.　The　thesis　helps　to　analyze　the　strategy　choice　and　governance　mechanisms　of　knowledge　sharing　of　innovation　network　members.　©　2012　ISSN　2185-2766.

关键词：

Computer simulation Game theory Knowledge management

作者机构：

[ 1 ] [Ruan, Guoxiang]School of Management, Shandong Institute of Business and Technology, No. 191 BinHai Zhong Road, Yantai 264005, China
[ 2 ] [Ruan, Pingnan]School of Economy and Management, Beijing University of Technology, No. 100, PingLeYuan Road, Beijing 100124, China

通讯作者信息：

电子邮件地址：

ruanguoxiang@yahoo.cn

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