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作 者:王嘉杰 王焘 孙建军[1,2] Wang Jiajie;Wang Tao;Sun Jianjun(Laboratory of Data Intelligence and Interdisciplinary Innovation,Nanjing University,Nanjing 210023;School of Information Management,Nanjing University,Nanjing 210023)
机构地区:[1]南京大学数据智能与交叉创新实验室,南京210023 [2]南京大学信息管理学院,南京210023
出 处:《情报学报》2025年第1期35-47,共13页Journal of the China Society for Scientific and Technical Information
基 金:国家社会科学基金重大项目“前沿交叉领域识别与融合创新路径与预测方法研究”(23&ZD225)。
摘 要:技术人员流动及其对团队创新绩效的影响受到学界的广泛关注。然而,技术人员的知识如何通过流动与新团队知识网络进行耦合,进而影响新团队的探索式创新和利用式创新水平,学界对此鲜有研究。本文以从欧洲专利局全球专利统计数据库中提取的108468条技术人员流动数据作为研究样本,从知识耦合角度测度技术人员与新团队之间的知识互补与知识替代水平,利用负二项回归模型实证分析技术人员与新团队的知识互补和知识替代对团队探索式创新与利用式创新水平的影响机制,探究团队知识广度的调节作用。研究结果显示:(1)技术人员与新团队间的知识互补与团队探索式创新呈正相关,而与团队利用式创新呈负相关;(2)知识替代与团队利用式创新呈正相关,与团队探索式创新呈负相关;(3)团队知识广度能够减弱知识替代对团队利用式创新的正向关系,增强其他相关影响。本文在理论上加深了人才流动研究关于知识转移驱动创新机制的理解。在实践层面,本文为人才流动、团队创新协作及相关政策制定提供了新的见解,可为人才中心和创新高地建设提供参考。The mobility of inventors and the resultant impact on team innovation performance have garnered significant attention in academia.However,limited research exists on how inventors’knowledge integrates with new team knowledge networks and how this coupling affects exploratory and exploitative innovation.Using a sample of 108,468 inventor mobility cases from the European Patent Office’s global patent database,this study measures the levels of knowledge complementarity and substitutability between inventors and new teams from the perspective of knowledge coupling.Using a negative binomial regression model,the results posit that(1)knowledge complementarity between inventors and new teams positively correlated with team exploratory innovation but negatively correlated with exploitative innovation;(2)knowledge substitutability positively correlated with exploitative innovation and negatively correlated with exploratory innovation;and(3)team knowledge breadth weakens the positive relationship between knowledge substitutability and team exploitative innovation while enhancing other related effects.These findings advance theoretical understanding of the innovation mechanisms underpinning knowledge transfer through talent mobility and offer practical insights into inventor mobility,team innovation collaboration,and related policy formulations,providing a reference for the development of talent hubs and innovation ecosystems.
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