基于网络演化博弈的产学研知识协同研究
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摘要
提升产学研知识协同效应是产学研合作的主要目标。产学研合作中各主体之间存在的复杂关系可以用网络环境进行描述,针对该过程建立了产学研知识协同的网络演化博弈模型,进而以移动通信产业的519项产学研合作专利数据为基础建立了该模型的实例,并通过仿真分析了产学研知识协同创新过程中奖惩力度、收益分配比例、知识势差以及产学研合作网络结构等参数对产学研知识协同效应的影响。研究表明:通过改变相关参数的大小,可以使产学研合作主体改变知识协同策略,从而提升整体产学研网络知识协同效应。
The primary goal of Industry-University-Research Institute cooperation is to enhance the knowledge collaborative effect.The complex relationship between the various subjects in the cooperation can be described in the network environment,so the networked evolutionary game on knowledge collaboration is constructed.Based on 519 patents data of IUR cooperation in mobile communications industry,an example of the model is established.Through simulation,we analyze the roles of the factors on improving the knowledge collaborative effect.These factors include the power of rewards and punishments,income distribution proportion,potential difference on stock of knowledge and the cooperation network structure.Then,we find that changing the value of the relevant parameters,the agents of IUR cooperation can change their knowledge collaborative strategies so as to enhance the knowledge collaborative effect of the whole IUR network.
The primary goal of Industry-University-Research Institute cooperation is to enhance the knowledge collaborative effect.The complex relationship between the various subjects in the cooperation can be described in the network environment,so the networked evolutionary game on knowledge collaboration is constructed.Based on 519 patents data of IUR cooperation in mobile communications industry,an example of the model is established.Through simulation,we analyze the roles of the factors on improving the knowledge collaborative effect.These factors include the power of rewards and punishments,income distribution proportion,potential difference on stock of knowledge and the cooperation network structure.Then,we find that changing the value of the relevant parameters,the agents of IUR cooperation can change their knowledge collaborative strategies so as to enhance the knowledge collaborative effect of the whole IUR network.
引文
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[2]Koschatzky K.Networking and Knowledge Transfer Between Research and Industry in Transition Countries:Empirical Evidence from the Slovenian Innovation System[J].Journal of Technology Transfer,2002,27(1).
[3]李立群,王礼力.知识资源、组织氛围与农业企业经营绩效关系研究[J].统计与信息论坛,2014,29(5).
[4]Yong S L.Technology Transfer and the Research University:A Search for the Boundaries of University-industry Collaboration[J].Research Policy,1996,25(6).
[5]黄菁菁.产学研协同创新效率及其影响因素研究[J].软科学,2017,31(5).
[6]殷辉,陈劲,谢芳.开放式创新下产学合作的演化博弈分析[J].情报杂志,2012,31(9).
[7]雷宏振,王刚.研发联盟企业间知识共享的演化博弈分析[J].现代情报,2013,33(11).
[8]聂峰英,黄夔.基于演化博弈的企业价值链协同知识创新研究[J].现代情报,2015,35(1).
[9]朱桂龙,彭有福.产学研合作创新网络组织模式及其运作机制研究[J].软科学,2003,17(4).
[10]徐莹莹,綦良群.基于复杂网络演化博弈的企业集群低碳技术创新扩散研究[J].中国人口·资源与环境,2016,26(8).
[11]张宏娟,范如国.基于复杂网络演化博弈的传统产业集群低碳演化模型研究[J].中国管理科学,2014,22(12).
[12]Hagedoorn J,Cloodt M.Measuring Innovative Performance:Is There an Advantage in Using Multiple Indicators[J].Research Policy,2003,32(8).
[13]Huallacháin B O,Lee D S.Urban Centers and Networks of Co-invention in American Biotechnology[J].Annals of Regional Science,2014,52(3).