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| 文章编号：1672-3104(2018)01-0102-10 |
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新兴技术“多核心”创新网络结构形成的影响因素研究 |
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杨春白雪1，曹兴1,2，高远1 |
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（1. 中南大学商学院，湖南长沙，410083；2. 湖南第一师范学院，湖南长沙，410205） |
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| 摘 要： 创新网络已成为新兴技术企业提高创新效率的有效方式。在新兴技术发展演化过程中，其网络结构会发生变化，创新主体在网络中的地位发生改变，一些创新主体成长为网络中的核心，呈现出“多核心”特征。通过对影响新兴技术“多核心”创新网络形成因素的分析，构建影响因素模型。实证研究发现，知识状态和认知邻近性均显著影响网络结构，知识势差对网络中心性的影响和认知邻近性对网络规模影响不显著，知识转移在知识因素对网络中心性和网络连接强度的影响过程中起中介作用。 |
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| 关键词： 知识势差；知识状态；认知邻近性；知识转移；网络结构 |
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Research on factors influencing the formation of “multi-core” innovation network of emerging technology |
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YANG Chunbaixue1, CAO Xing1,2, GAO Yuan1 |
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（1. School of Business, Central South University, Changsha 410083, China;
2. Hunan First Normal College, Changsha 410083, China） |
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| Abstract: The innovation network has become an effective way to improve the efficiency of innovation. In the process of development and evolution of new technologies, the network structure will change. The position of innovation entities in the network will make changes with some innovative entities growing into the core of the network, which will make the network show “multi-core” characteristic. By analyzing the influencing factors of the formation of “multi-core” innovation network structure of emerging technology, and by constructing the model of influencing factors, empirical study finds that both the knowledge state and cognition proximity have significant influence on network structure, and that the influences of knowledge potential on network centrality and cognitive proximity on the network scale are not significant. In addition, knowledge transfer plays an intermediary role in the influence of knowledge factor on network centrality and network connection intensity. |
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Key words: potential difference of knowledge; knowledge state; cognitive proximity; knowledge transfer; network structure |
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