The impacts of multi-proximity on University-Industry collaboration toward enterprises innovation performance: A mediating role of knowledge embeddedness

The 2021 12th International Conference on E-business, Management and Economics Pub Date : 2021-07-17 DOI:10.1145/3481127.3481151

Shu Yu, L. Shen, Ming Chen

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Abstract

The purpose of this study is to explore the relative influence of multidimensional proximity to explain the innovation performance of university–industry collaboration(UIC) by investigating UIC innovation activities from eight regions in China. Specifically, we focus on the influence of geographical, cognitive, and social network proximity on the innovation performance of enterprises and examine whether knowledge embeddedness affect these relationships. The findings show that both cognitive and social network proximity have a significant positive effect on cooperative innovation performance, whereas geographical proximity does not affect innovation. In addition, proximity drawing on knowledge embeddedness encourages efficient knowledge flow and improves innovation performance. The results clarify the relationships among multidimensional proximity and knowledge embeddedness and provide theoretical guidance for innovation by real-world university–industry collaborations.

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多接近性对校企合作对企业创新绩效的影响:知识嵌入性的中介作用

本研究旨在通过对中国8个地区的校企合作创新活动的调查，探讨多维接近度对校企合作创新绩效的相对影响。具体而言，我们关注地理、认知和社会网络接近度对企业创新绩效的影响，并考察知识嵌入性是否影响这些关系。研究结果表明，认知接近性和社会网络接近性对合作创新绩效均有显著的正向影响，而地理接近性对合作创新绩效无显著影响。此外，利用知识嵌入的接近性促进了知识的有效流动，提高了创新绩效。研究结果阐明了多维接近性与知识嵌入性之间的关系，为现实世界的校企合作创新提供了理论指导。

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The 2021 12th International Conference on E-business, Management and Economics

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