网络演化博弈视角下的跨国公司逆向知识转移动态过程研究

发布时间：2018-05-16 05:53

本文选题：逆向知识转移 + 跨国公司　；参考：《管理评论》2017年11期

【摘要】：逆向知识转移是跨国公司获取海外东道国知识资源、维持竞争优势的重要途径。为了探索逆向知识转移的运行机制和过程规律,针对跨国公司中母子公司之间逆向知识转移的动态过程,构建跨国公司逆向知识转移动态过程的网络演化博弈模型,并对跨国公司逆向知识转移的动态过程进行仿真分析。研究结果表明,博弈策略的信号传递噪音对母子公司博弈策略的采纳和更新均具有重要影响;母子公司单位成本以及子公司努力成本对母子公司积极策略稳态实现速度的影响均具有可分离特征,而母公司努力成本的影响存在最优区间;子公司之间博弈策略的信号传递和策略的模仿强烈依赖于作为载体的网络结构,无标度网络结构更有利于促成积极策略的传递扩散。
[Abstract]:Reverse knowledge transfer is an important way for multinational corporations to acquire knowledge resources and maintain competitive advantage. In order to explore the operation mechanism and process law of reverse knowledge transfer, the network evolutionary game model of reverse knowledge transfer dynamic process of multinational corporations is constructed according to the dynamic process of reverse knowledge transfer between parent and subsidiary companies. The dynamic process of reverse knowledge transfer in multinational corporations is simulated and analyzed. The results show that the signal transmission noise of the game strategy has an important influence on the adoption and updating of the game strategy of the parent-subsidiary company. The influence of unit cost and effort cost of parent company on the steady state realization speed of positive strategy of parent company has the characteristics of separability, while the influence of parent company effort cost has the optimal range. The signaling and imitation of game strategies among subsidiaries depend strongly on the network structure as a carrier, and scale-free network structure is more conducive to the diffusion of positive strategies.
【作者单位】：哈尔滨工程大学经济管理学院;国防科学技术大学信息系统与管理学院;
【基金】：国家自然科学基金项目(71403066;71302028) 黑龙江省自然科学基金项目(G201026) 黑龙江省博士后基金项目(LBH-Z08222)
【分类号】：F224.32;F276.7

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