| 创新网络中基于结派行为的企业创新能力评价 |
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| 引用本文： | 赵炎,孟庆时.创新网络中基于结派行为的企业创新能力评价[J].科研管理,2014,35(7):35-43. |
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| 作者姓名： | 赵炎 孟庆时 |
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| 作者单位： | 上海大学管理学院, 上海大学创新与知识管理研究中心, 上海 200444 |
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| 基金项目： | 国家自然科学基金:集群与联盟:复杂创新网络中企业嵌入与动态抉择的中国实证(基金编号:71003069;起止时间:2011.1-2013.12);上海市教育委员会科研创新项目:知识密集型服务业的集群创新系统的复杂性:基于中国的实证研究(项目编号:10YZ23,起止时间:2010.1-2012.12) |
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| 摘 要： | 对于创新网络的研究多从网络整体或企业个体网络的角度出发,较少关注企业结派行为所形成的网络子群结构对企业创新能力的影响。本文基于中国11个高科技行业的联盟数据,使用派系过滤算法和负二项回归模型研究了创新网络中企业结派行为对高科技企业创新能力的影响。研究发现:对于不同规模的网络子群,子群内部联系密度和子群间的联系数量对企业创新能力影响不同,规模小或者结构较简单的子群内企业比子群外的企业创新能力更高,并且具有跨子群联系的企业创新能力较高;规模较大的子群间的联系反而不能提高企业创新能力;同时,网络中的子群数量越多,即企业结派行为越频繁,对网络中企业创新能力的促进作用越大。本研究考虑到了企业子群结构以及子群间的重叠特性,有助于揭示创新网络中企业结派行为的特点,增强对创新网络结构的了解,并为评价和提高我国高科技产业的企业创新能力提供借鉴。
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| 关 键 词： | 高科技行业 创新网络 结派行为 创新能力评价 |
Evaluation of enterprise innovative capability based on cohesive behaviors in inter-firm innovation network |
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| Zhao Yan,Meng Qingshi.Evaluation of enterprise innovative capability based on cohesive behaviors in inter-firm innovation network[J].Science Research Management,2014,35(7):35-43. |
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| Authors: | Zhao Yan Meng Qingshi |
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| Institution: | School of Management, Shanghai University, Research Center for Innovation and Knowledge Management, Shanghai University, Shanghai 200444, China |
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| Abstract: | Studies on innovation network mainly focus on the whole network or the firms' individual network, there are few studies on the influence of network subgroups formed by the cohesive behaviors on enterprise innovation capability. The inter-firm innovation networks of 11 high-tech industries in China are built based on alliances data and clique percolation algorithm and negative binomial regression model are applied to study the impact of the enterprise's cohesive behaviors on the innovation capacity of high-tech enterprises. It is found that for firms in small or simple subgroups, internal link density of subgroups and the number of the links between subgroups affect the enterprise's innovative capability positively. But for firms in big or complex subgroups, these characteristics of subgroups have no promoting effect to firms. Meanwhile, the number of subgroups, indicating the frequency of firms' cohesive behaviors, affects the enterprise's innovative capability positively. By taking the subgroup structures at middle level of innovation network into consideration, the results are helpful to uncover the characters of cohesive behaviors in innovation network, enhance the comprehension of innovation network structures and provide references for evaluating and improving enterprise innovative capability of high-tech industries in China. |
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| Keywords: | high-tech industry innovation network cohesive behavior evaluation of innovative capability |
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