Abstract
Previous studies have more often explored the impact of structural and relational characteristics of knowledge network on the enterprise’s innovation performance. However, the attribute characteristics of enterprise knowledge network also have an impact on the innovation performance of enterprises. Based on the knowledge-based view, our study tries to explore how knowledge attributes affect firm’s innovation performance, and whether the complementarity of ambidextrous learning plays an indirect role in this process. Our research results show that both the combination potential of knowledge and knowledge diversity can affect the innovation performance of enterprises, and there is a threshold of the combination potential of knowledge, beyond which the positive impact on enterprise innovation performance will be weakened. At the same time, the complementarity of ambidextrous learning plays a moderating role between the combination potential of knowledge and the positive effect of firm innovation performance, but there is no moderating effect between knowledge diversity and firm innovation performance.
Recommended Citation
Li, Xiaoli and Li, Kun, "Impact of Knowledge Network Attributes on Enterprise Innovation Performance" (2022). WHICEB 2022 Proceedings. 36.
https://aisel.aisnet.org/whiceb2022/36