Impacts of Network Embeddedness Structure on Innovation Performance

Jian Zhaoquan, Wu Zhuoshen, Liu Rong


Driven by the trend of global economic integration, informationlization and networking, the era of open innovation has arrived. Relationship network has become a new research approach of probing into the enterprises’ innovation, but the results are various. This research draws 114 samples from high-tech enterprises, utilizing structural equation modeling, aiming to explore the relationship among network embeddedness structure, knowledge sharing and innovation performance. Research results show that: (1) Enterprises’ relational embeddedness and structural embeddedness have a significant positive impact on innovation performance; (2) Knowledge sharing is the mediating variable in the path of network embeddedness structure on innovation performance. Hoping these results can enrich related theory, and also provide some practicing guidance for enterprises establishing relationship networks to improve innovation performance.


Network embeddedness structure; Relational embeddedness; Structural embeddedness; Knowledge sharing; Innovation performance

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