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创新网络组织间知识转移影响因素元分析
引用本文:阮平南,栾梦雪,魏云凤,刘晓燕.创新网络组织间知识转移影响因素元分析[J].科技进步与对策,2019,36(18):7-14.
作者姓名:阮平南  栾梦雪  魏云凤  刘晓燕
作者单位:北京工业大学 经济与管理学院;北京工业大学 城市交通学院,北京,100124
基金项目:国家社会科学基金重点项目(17AGL009);北京市自然科学基金项目(9172002,9174029)
摘    要:为梳理创新网络组织间知识转移影响因素并从中识别关键因素,从知识特性、组织主体属性、组织间关系特征和网络结构特征等多维度出发,构建创新网络组织间知识转移影响因素模型,运用元分析方法对国内外2003-2018年80篇实证研究文献进行整合分析。结果显示:创新网络组织间知识转移阻碍因素有知识复杂性、内隐性、组织距离和知识距离,组织距离的阻碍作用最为显著;促进因素有转移意愿、转移能力、接受意愿、吸收能力、关系强度、信任、沟通、网络规模、中心性和结构洞,其中结构洞的促进作用效果最强;地理距离的影响不显著,但地理集聚因素在吸收能力、接受意愿、知识距离、关系强度、信任、网络规模和网络中心性与创新网络知识转移的关系中具有显著调节作用,并且知识距离的双重作用得到解释。

关 键 词:创新网络  组织间知识转移  影响因素  元分析
收稿时间:2019-03-27

The Influencing Factors of Knowledge Transfer in Innovation Network: A Meta-Analysis
Ruan Pingnan,Luan Mengxue,Wei Yunfeng,Liu Xiaoyan.The Influencing Factors of Knowledge Transfer in Innovation Network: A Meta-Analysis[J].Science & Technology Progress and Policy,2019,36(18):7-14.
Authors:Ruan Pingnan  Luan Mengxue  Wei Yunfeng  Liu Xiaoyan
Institution:(1.College of Economy and Management,Beijing University of Technology;2.College of Metropolitan Transportation,Beijing University of Technology,Beijing 100124,China)
Abstract:In order to sort out the influencing factors of inter-organizational knowledge transfer in innovation network and identify the key factors, this study constructed a model of influencing factors of inter-organizational knowledge transfer in innovation network based on the multi-dimensional factors such as knowledge characteristics, organizational characteristics, binary relationship characteristics and network structure characteristics, also synthesized 80 domestic and foreign related empirical studies using the meta-analysis technology. The results have shown that: First, the obstacles to knowledge transfer in innovation network organizations are: knowledge complexity, knowledge tacitness, organizational distance and knowledge distance, among which the organizational distance has the most significant hindrance. Second, the contributing factors are: willingness to transfer and accept, transfer ability, absorptive capacity, relationship strength, trust, communication, network scale, centrality and structural hole, among which structural holes have the greatest effect. Third, the influence of geographical distance has no significant influence on the inter-organizational knowledge transfer in innovation network. However, geographical concentration has a significant regulatory role in the relationship between the factors such as knowledge complexity, absorptive capacity, willingness to accept, knowledge distance, relationship strength, trust, network scale, centrality and knowledge transfer, among which the dual role of knowledge distance has been explained.
Keywords:Innovation Networks  Inter-Organizational Knowledge Transfer  Influencing Factors  Meta-Analysis  
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