基于网络演化博弈的互动创新社区用户知识共享行为影响因素研究

2021-04-02 12:08:33李从东黄浩张帆顺
现代情报 2021年4期

李从东 黄浩 张帆顺

收稿日期:2020-08-02

基金项目:国家自然科学基金项目“基于动态语义X列表互动知识空间的产品持续创新模型及其优化、应用”(项目编号:71672074);广东省自然科学基金项目“B2C模式下闭环选址-库存集成优化模型研究”(项目编号:2019A1515010045);广州市创新领军团队项目“面向‘电商-工业联动物流智能多级管控的运作服务平台研究及应用”(项目编号:201909010006) 。

作者简介:李从东(1962-),男,教授,博士,研究方向:产品互动创新、知识管理、工业工程等。张帆顺(1994-),男,博士研究生,研究方向:产品互动创新、应急管理。

通讯作者:黄浩(1997-),男,硕士研究生,研究方向:知识管理。

摘要:[目的/意义]为辨析网络演化博弈视角下互动创新社区用户知识共享行为影响因素以促进社区用户间的知识共享行为。[方法/过程]在传统演化博弈理论与网络演化博弈理论的基础之上,分别构建互动創新社区知识共享模型,通过计算与仿真,对比两种方法下社区知识共享的演化结果,分析社区用户知识共享行为的影响因素。[结果/结论]研究发现,利用传统演化博弈方法与网络演化博弈方法得到的互动创新社区演化均衡点并不一致;协同收益、社区奖励与知识共享成本对互动创新社区知识共享演化深度有显著影响;社区网络规模与知识共享风险对互动创新社区知识共享演化速度有显著影响。

关键词:互动创新社区;知识共享;社区网络;网络演化博弈

DOI:10.3969/j.issn.1008-0821.2021.04.005

〔中图分类号〕G203;G252〔文献标识码〕A〔文章编号〕1008-0821(2021)04-0036-10

Research on Influencing Factors of Knowledge Sharing Behavior of Open

Innovation Community Users Based on Network Evolutionary Game Theory

Li Congdong1,2Huang Hao1*Zhang Fanshun1

(1.School of Management,Jinan University,Guangzhou 510632,China;

2.Institute of Physical Internet,Jinan University,Zhuhai 519070,China)

Abstract:[Purpose/Significance]This paper aims to analyze the influencing factors of knowledge sharing behavior of open innovation community users from the perspective of network evolutionary game,and to promote knowledge sharing behavior among users.[Method/Process]The knowledge sharing model of open innovation community was developed based on the theory of traditional evolutionary game and network evolutionary game.Through calculation and simulation,the evolution results of knowledge sharing under the two methods were compared,and the influencing factors of knowledge sharing behavior of community users were analyzed.[Result/Conclusion]The paper found that the evolutionary equilibrium point obtained by the traditional evolutionary game method and the network evolutionary game method was inconsistent.Synergy revenue,community reward and the cost of knowledge sharing had a significant impact on the evolution depth of knowledge sharing in communities.The scale of the community and the risk of knowledge sharing had a significant impact on the evolution speed of knowledge sharing in communities.

Key words:open innovation community;knowledge sharing;community network;network evolutionary game

不同于传统的知识共享渠道,互动创新社区利用互联网交互、开放、共享等特性,将具有共同爱好和目标的个体聚集在一起,使大家可以在一个平等、开放的网络空间中进行知识的沟通和共享[1]。……

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