摘要
为了有效解决云制造创新生态系统知识共享不通畅的问题,分析不同情况下,关键因素对创新主体策略选择的影响及演化路径。基于有限理性和利益最大化原则,运用演化博弈理论,分析云制造服务集成商与供应商在知识共享激励过程中的策略选择,得出不同参数限制条件下的演化均衡策略,并对知识共享激励这一动态合作过程进行演化稳定性分析。研究表明:(1)云制造服务集成商的知识存量转化的收益、知识共享意愿、对供应商的信任程度、激励成本越大,云制造服务供应商的知识吸收能力越大,系统越倾向于向(不激励,参与)的路径演化;(2)云制造服务供应商的知识共享成本越大,系统越倾向于向(激励,不参与)的路径演化;(3)云制造服务供应商缴纳的罚金越大,系统越倾向于向(激励,参与)的路径演化。依据以上研究结论,提出了一些提升云制造创新生态系统知识共享绩效的对策建议,为云制造创新生态系统成员间的知识共享提供了理论指导。
In the process of knowledge sharing in cloud manufacturing innovation ecosystem,while sharing knowledge with the supplier,the cloud manufacturing service integrator also hopes that the supplier can actively share its own knowledge and participate in the operation process of cloud manufacturing innovation ecosystem.Because the cloud manufacturing service supplier is affected by information asymmetry and excessive cost of knowledge sharing,it may not participate in knowledge sharing,which leads to the problem of unsmooth knowledge sharing in cloud manufacturing innovation ecosystem.In order to effectively solve the problem,the influences of key factors on innovation subject’s strategy choices and evolution paths are analyzed in different situations.Based on the principle of limited rationality and maximization of benefits,the strategy choices of cloud manufacturing service integrator and supplier are analyzed by the evolutionary game theory in the process of knowledge sharing incentive,and the evolutionary equilibrium strategies are obtained under different parameter restrictions,and the evolutionary stabilities of knowledge sharing incentive are analyzed.Finally,referring to the current situation of knowledge sharing in Haier Group’s cloud manufacturing innovation ecosystem,the dynamic evolution processes of strategy selections between cloud manufacturing service integrator and supplier are analyzed by the numerical simulation based on MATLAB software.The research shows:(1)The greater the cloud manufacturing service integrator’s transformation benefits of knowledge stock,knowledge sharing willingness,trust degree to the supplier,incentive cost,and the greater the knowledge absorption capacity of the cloud manufacturing service supplier,the more the system tends to evolve to the path of(no incentive,participation);(2)The greater the knowledge sharing cost of the cloud manufacturing service supplier,the more the system tends to evolve to the path of(incentive,no participation);(3)The greater the penalty paid by the cloud manufacturing service supplier,the more the system tends to evolve to the path of(incentive,participation).According to the above research conclusions,some countermeasures and suggestions are put forward to improve the knowledge sharing performance of cloud manufacturing innovation ecosystem,which can provide the theoretical guidance for the knowledge sharing among members of cloud manufacturing innovation ecosystem.
作者
和征
张志钊
杨小红
HE Zheng;ZHANG Zhi-zhao;YANG Xiao-hong(School of Management,Xi’an Polytechnic University,Xi’an 710048,China)
出处
《中国管理科学》
CSSCI
CSCD
北大核心
2022年第7期77-87,共11页
Chinese Journal of Management Science
基金
教育部人文社会科学研究西部和边疆地区项目(20XJA630001)
陕西省哲学社会科学重大理论与现实问题重点智库研究项目(2021ZD1011)
陕西省社科界重大理论与现实问题研究项目(2020Z394)
陕西省教育厅重点科学研究计划(新型智库项目)(20JT025)。
关键词
云制造
创新生态系统
知识共享
知识共享激励
演化博弈
cloud manufacturing
innovation ecosystem
knowledge sharing
knowledge sharing incentive
evolutionary game theory
