Technological recombinant strategy and breakthrough innovation of team: The moderating role of science linkage

IF 3.4 2区 管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Informetrics Pub Date : 2024-11-18 DOI:10.1016/j.joi.2024.101613
Tao Wang, Jiajie Wang, Jing Shi, Jianjun Sun, Lele Kang
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Abstract

Why can some knowledge production activities help teams achieve significant innovation breakthroughs while others go unnoticed? Technological recombinant is considered an important way for teams to gain an innovative edge in the era of big science. However, few empirical studies have revealed the role of differentiated technological recombinant strategies in team breakthrough innovation. This study develops an approach to identify technical teams from the full-domain cooperation network and investigates the differentiated impact of technological recombinant creation and reuse strategies on team breakthrough innovation, considering the moderating role of science linkage. Using biopharmaceutical patent data from 2000 to 2019 and building empirical models to estimate, the study reveals that both recombinant strategies distinctly affect technological novelty and impact, while science linkage enhancing these effects. By elucidating the nuanced roles of technological recombinant strategies in team-based breakthrough innovations, this study offers targeted guidance for optimizing innovation processes within organizations.
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技术重组战略与团队的突破性创新:科学联系的调节作用
为什么有的知识生产活动能帮助团队实现重大创新突破,而有的却无人问津?技术重组被认为是大科学时代团队获得创新优势的重要途径。然而,很少有实证研究揭示差异化技术重组策略在团队突破创新中的作用。本研究开发了一种从全领域合作网络中识别技术团队的方法,并考虑到科学联系的调节作用,研究了技术重组创造和重复使用策略对团队突破性创新的差异化影响。研究利用 2000 年至 2019 年的生物制药专利数据并建立实证模型进行估算,发现两种重组策略都会对技术新颖性和影响力产生明显影响,而科学联系则会增强这些影响。通过阐明技术重组策略在基于团队的突破性创新中的细微作用,本研究为优化组织内的创新流程提供了有针对性的指导。
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来源期刊
Journal of Informetrics
Journal of Informetrics Social Sciences-Library and Information Sciences
CiteScore
6.40
自引率
16.20%
发文量
95
期刊介绍: Journal of Informetrics (JOI) publishes rigorous high-quality research on quantitative aspects of information science. The main focus of the journal is on topics in bibliometrics, scientometrics, webometrics, patentometrics, altmetrics and research evaluation. Contributions studying informetric problems using methods from other quantitative fields, such as mathematics, statistics, computer science, economics and econometrics, and network science, are especially encouraged. JOI publishes both theoretical and empirical work. In general, case studies, for instance a bibliometric analysis focusing on a specific research field or a specific country, are not considered suitable for publication in JOI, unless they contain innovative methodological elements.
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