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| The Influencing Factors of Knowledge Transfer in Innovation Network: A Meta-Analysis |
| Ruan Pingnan1,Luan Mengxue1,Wei Yunfeng2,Liu Xiaoyan1 |
| （1.College of Economy and Management，Beijing University of Technology；2.College of Metropolitan Transportation，Beijing University of Technology，Beijing 100124，China） |
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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.
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Received: 27 March 2019
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