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Knowledge convergence and organization innovation: the moderating role of relational embeddedness
Scientometrics ( IF 3.9 ) Pub Date : 2020-09-02 , DOI: 10.1007/s11192-020-03684-2
Na Liu , Jianqi Mao , Jiancheng Guan

Knowledge convergence is an important means of innovation. The study aims to explore how knowledge convergence influences innovation performance at an organizational level. Furthermore, we address the moderating role of network relational embeddedness on the innovation deriving from knowledge convergence. Our empirical analyses adopting negative binomial regression models employ patent counts and patent citations from the nanotechnology field. The findings reveal that the scientific intensity in the convergence between scientific knowledge and technological knowledge has an inverted U-shaped influence on innovation performance and that this association is flattened in organizations with high network relational diversity. Also, we find that the technological scope in convergence of technological knowledge self has an inverted U-shaped influence on innovation performance and that this association is steepened in organizations with high network relational strength. Our findings add understandings of knowledge convergence on organization innovation and also have important practical and political implications.

中文翻译:

知识融合与组织创新:关系嵌入的调节作用

知识融合是创新的重要手段。该研究旨在探索知识融合如何影响组织层面的创新绩效。此外,我们解决了网络关系嵌入对源自知识融合的创新的调节作用。我们采用负二项式回归模型的实证分析采用了纳米技术领域的专利计数和专利引用。研究结果表明,科学知识和技术知识融合的科学强度对创新绩效具有倒 U 形影响,并且这种关联在网络关系多样性高的组织中趋于平缓。还,我们发现技术知识自我收敛的技术范围对创新绩效具有倒U形影响,并且这种关联在具有高网络关系强度的组织中变得更加陡峭。我们的发现增加了对组织创新知识融合的理解,并且还具有重要的实践和政治意义。
更新日期:2020-09-02
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