›› 2017, Vol. 29 ›› Issue (11): 159-170.

• 电子商务与信息管理 • 上一篇    下一篇

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

肖振红1, 刘昂1, 周文2   

  1. 1. 哈尔滨工程大学经济管理学院, 哈尔滨 150001;
    2. 国防科学技术大学信息系统与管理学院, 长沙 410003
  • 收稿日期:2016-01-15 出版日期:2017-11-28 发布日期:2017-11-25
  • 作者简介:肖振红,哈尔滨工程大学经济管理学院教授,博士生导师,博士;刘昂,哈尔滨工程大学经济管理学院博士研究生;周文,国防科学技术大学信息系统与管理学院讲师,博士。
  • 基金资助:

    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)。

Study on the Dynamic Process of RKT in MNEs from the Perspective of Network Evolutionary Game

Xiao Zhenhong1, Liu Ang1, Zhou Wen2   

  1. 1. School of Economics and Management, Harbin Engineering University, Harbin 150001;
    2. College of Information Systems and Management, National University of Defense of Technology, Changsha 410003
  • Received:2016-01-15 Online:2017-11-28 Published:2017-11-25

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。

关键词: 逆向知识转移, 跨国公司, 演化博弈, 复杂网络

Abstract:

Reverse Knowledge Transfer (RKT) is an important way for multinational enterprises (MNEs) to harvest knowledge resources from overseas host countries and sustain competitive advantage. To explore the operating mechanism about RKT, based on the dynamic process of RKT in MNEs, this paper builds a network evolutionary game model of RKT and makes simulation of dynamic process. Results prove that the transmitted signal noises have great impacts on both the adaptation and renewal of parent and subsidiaries' game strategy. There are separable characteristics about the influences on stable speed of parent and subsidiaries' positive strategies from parent and subsidiaries' unit cost and subsidiaries' endeavor cost, and there is an optimal range for the influences on stable speed of parent's positive strategies from its endeavor cost. The transmission of strategy signals among subsidiaries and the imitation of subsidiaries' strategy strongly rely on the basic network structure. There is more advantage on promoting the transmission of subsidiaries' positive strategy for a scale-free network.

Key words: reverse knowledge transfer, multinational enterprises, evolutionary game, complex network