Abstract: It is well-documented that the relational embeddedness of inventor networks plays a vital role in innovation performance. However, most existing literature focuses on how relational resource allocation influences innovation from a static perspective. The understanding of network dynamics, especially relationship between relational dynamics and innovation remains limited. Additionally, little attention has been paid to the further unpacking of different innovation dimensions. To address these gaps, this paper draws on the social resource theory and the innovative combination perspective, further distinguishing between innovation novelty and innovation performance as separate dimensions of innovation performance. It explores how network dynamics, specifically ties added, ties lost, and relational embeddedness dynamics, influence both innovation novelty and impact. Utilizing U.S. pharmaceutical patents data, it employs negative binomial regression to test the hypotheses. The findings indicate that ties added are positively associated with both innovation novelty and impact. The ties lost are negatively related to both innovation novelty and impact. The relational embeddedness dynamics could enhance novelty while impeding impact. In summary, this paper not only scrutinizes the dual effects of relational embeddedness dynamics on individual innovation, but also provides specific suggestions for managers to enhance the novelty or impact of research and development output.

Key words:  inventor networks, relational embeddedness, network dynamics, novelty, impact

摘要： 尽管已有研究探讨了研发合作网络关系嵌入性对创新绩效的影响，但大多以静态网络范式侧重于探究关系资源配置的作用机制，而对动态网络范式的关注相对不足，且为数不多关系动态性的研究存在不一致的观点，缺乏对创新绩效不同维度的进一步解构。鉴于此，基于社会资源理论和创新组合观，将研发人员创新绩效区分为新颖性与影响力，探究研发合作网络中边的增加、边的减少以及关系动态性对创新新颖性与影响力的作用。运用美国医药行业专利数据，负二项回归结果表明：边的增加对创新新颖性与影响力均产生正向影响；边的减少对创新新颖性与影响力均具有负向作用；关系动态性对新颖性产生正向影响，但对影响力具有负向作用。研究结论验证了关系嵌入性动态演化对研发人员创新绩效的双重效应，为组织管理者提高创新产出的新颖性或影响力提供了针对性建议。

关键词: 研发合作网络, 关系嵌入性, 动态演化, 新颖性, 影响力