Regressions using the control function method.

Previous studies have primarily investigated scientists’ direct impact on technological performance. Expanding on this, the study explores the nuanced ways and timing through which scientists influence team-level technological performance. By integrating knowledge-based and network dynamics theories, the study establishes and assesses membership turnover as a significant mediator of the science–technological performance process. Furthermore, it investigates the moderating effects of team internationalization and coreness on the mediation effects. Employing an unbalanced panel dataset from Huawei and Intel from 2000 to 2022, the study applied the Tobit and Negative Binomial models and conducted robustness tests for data analysis. The findings support the indirect influence of scientists within an invention team on the quantity and quality of inventions through membership turnover. Moreover, team internationalization diminishes the relationship between membership turnover and the quantity and quality of inventions, thereby impairing scientists’ indirect effects on technological performance through membership turnover. Team coreness enhances the relationship between membership turnover and the quantity and quality of inventions, strengthening the indirect impact of scientists on these dimensions through membership turnover.

过往研究主要聚焦于科学家对技术绩效的直接影响。本研究在此基础上，深入探讨科学家影响团队层面技术绩效的精细路径与作用时机。本研究整合知识基础理论与网络动态理论，构建并验证了成员流动作为科学-技术绩效传导过程中的重要中介变量。此外，本研究还考察了团队国际化程度与团队核心度对该中介效应的调节作用。本研究采用2000年至2022年华为（Huawei）与英特尔（Intel）的非平衡面板数据集，运用Tobit模型与负二项（Negative Binomial）模型开展数据分析，并进行了稳健性检验。研究结果证实，发明团队中的科学家可通过成员流动，对发明成果的数量与质量产生间接影响。此外，团队国际化程度会削弱成员流动与发明成果数量、质量之间的关联，进而削弱科学家通过成员流动对技术绩效产生的间接影响。团队核心度则会强化成员流动与发明成果数量、质量之间的关联，从而增强科学家通过成员流动对上述两个维度产生的间接影响。