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作 者:王海花[1] 龚燕燕 李雅洁[1] 李树杰 Wang Haihua;Gong Yanyan;Li Yajie;Li Shujie(School of Management,Shanghai University,Shanghai 200444,China)
机构地区:[1]上海大学管理学院,上海200444
出 处:《科研管理》2024年第11期78-88,共11页Science Research Management
基 金:国家社会科学基金重大项目:“聚焦关键核心技术突破的国家创新体系研究”(21&ZD130,2021.12—2025.12);国家社会科学基金后期资助项目:“数字化与创新绩效的关系研究”(21FGLB024,2021.10—2024.10)。
摘 要:突破性创新是企业跳出技术引进和模仿性创新“惯性”的重要途径,对我国实现高水平科技自立自强也具有重要意义。基于知识基础观,从知识重组视角出发,创新性地将发明人-知识二模网形成的多重网络纳入一个研究框架,探究二模网特征与突破性创新的内在作用机制和外在边界条件。并以2000—2021年间半导体行业上市企业为研究对象,采用负二项回归方法进行实证分析。研究发现:发明人知识多样性对突破性创新具有正向影响,知识独特性对突破性创新具有负向影响;企业知识重组创造能力在发明人-知识二模网特征和突破性创新之间起到部分中介作用;发明人网络结构洞效率负向调节发明人知识多样性对知识重组创造能力的正向作用,但正向调节知识重组创造能力的中介作用;知识网络结构洞效率同时负向调节知识独特性对知识重组创造能力的负向作用和知识重组创造能力的中介作用。研究结论揭示了多重网络嵌入对突破性创新的影响机制,为企业提高突破性创新绩效提供有价值的参考。The exploration of breakthrough innovation is vital for enterprises to overcome the inertia created by reliance on technological import and imitation.This effort is essential for China to become self-reliant in advanced science and technology sectors.This study,based on the knowledge-based view and utilizing a knowledge recombination perspective,integrated creatively multiple networks from inventor-knowledge bipartite graphs into a singular framework.It explored how the characteristics of these bipartite networks influence breakthrough innovation,with an empirical analysis conducted using negative binomial regression on data from publicly listed semiconductor firms from 2000 to 2021.The results of the negative binomial regression revealed that inventor knowledge diversity positively affects breakthrough innovation while knowledge uniqueness negatively affects it.Enterprises'knowledge recombination capability plays a partial mediating role between inventor-knowledge two-mode network characteristics and breakthrough innovation.The structural hole efficiency of the inventor network negatively moderates the positive effect of inventor knowledge diversity,but positively moderates the mediating role of knowledge recombination capability.The structural hole efficiency in the knowledge network lessens both the negative impact of knowledge uniqueness on recombination capability and its mediation effect.The findings have revealed multiple network embedding mechanisms for breakthrough innovation,and will provide valuable insights to help enterprises enhance their breakthrough innovation.
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