知识转移是组织持续创新和获取竞争优势的重要方式,研究多维邻近性对组织间知识转移的影响有助于创新网络中的组织科学选择创新伙伴,提升创新绩效。选取OLED产业2007-2016年的专利数据,构建了40家组织的显性、隐性知识转移网络,采用QAP分析法探究地理邻近性、技术邻近性和社会邻近性对组织间不同类型知识转移的影响。3种邻近性对组织间不同类型的知识转移作用效果存在差异,且多维邻近性之间存在交互作用。具体表现为技术邻近性、社会邻近性均正向影响组织间的显性、隐性知识转移；地理邻近性对组织间的显性、隐性知识转移没有显著影响,但是能够正向调节技术邻近性、社会邻近性对组织间隐性知识转移的影响。

Knowledge transfer is an important way for organizations to continuously innovate and gain competitive advantage. Studying the impact of multidimensional proximity on inter-organizational knowledge transfer helps organizations in innovation networks to choose innovative partners scientifically and improve innovation performance. Based on the patent data of OLED industry during 2007-2016, we build 40-organization level explicit and tacit knowledge transfer networks, and explore the impact of geographic proximity, technology proximity and social proximity on inter-organizational explicit and tacit knowledge transfer by using QAP analysis. The results show that the 3 kinds of proximities have different effects on inter-organizational explicit and tacit knowledge transfer, also there is an interaction between multidimensional proximity. Specifically, technology proximity and social proximity have significant positive effects on inter-organizational explicit and tacit knowledge transfer. Geographic proximity has an insignificant effect on inter-organizational explicit and tacit knowledge transfer, but it can positively adjust the influence of technology proximity and social proximity on inter-organization tacit knowledge transfer.

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国家自然科学“基于多Agent制造业供应链产销协同冲突协商研究”(71371018);北京市社会科学“要素异质性视角下京津冀对乡村两级医德关系的作用研究”(15JGB124)；北京市自然科学“基于技术交易数据的京津冀科技协同创新潜力挖掘”(9172002)