Impact of gender composition of academic teams on disruptive output

IF 3.4 2区 管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ming-Ze Zhang , Tang-Rong Wang , Peng-Hui Lyu , Qi-Mei Chen , Ze-Xia Li , Eric W.T. Ngai
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引用次数: 0

Abstract

Intergender collaboration is becoming increasingly common in academia. However, the impact of team gender structures on innovation remains unknown. Using data from the American Physical Society, this study applies the disruption index to measure the relationship between gender composition and innovation performance. The results show that compared with single-gender teams, moderate inter-gender collaboration has a greater potential to produce disruptive knowledge and must be adopted by scientific teams. Specifically, the types of innovation in mixed-gender teams are affected by the gender composition. If the proportion of female scholars and their participation increase in a mixed-gender team, it can positively contribute to disruptive performance. If female scientists are placed on a male-dominated team, they may function as consolidation representatives. The robustness results indicate that the conclusions also apply to male scientists. The results suggest that males and females have no significant physiological differences in innovation and that the key is to find a gender balance in collaboration. Based on the theories of similarity-attraction and cognitive diversity, the reasons for the differences between female and male scientists may be team atmosphere and their roles in collaboration. This study can serve as a reference for policymakers and funders when building teams to achieve disruptive discoveries.

学术团队的性别构成对破坏性产出的影响
跨性别合作在学术界越来越常见。然而,团队性别结构对创新的影响仍然未知。本研究利用美国物理学会的数据,采用破坏指数来衡量性别构成与创新绩效之间的关系。结果表明,与单一性别团队相比,适度的跨性别合作更有可能产生颠覆性知识,必须被科研团队采纳。具体而言,性别混合团队的创新类型受性别构成的影响。如果性别混合团队中女性学者的比例和参与度增加,就会对颠覆性绩效产生积极的促进作用。如果女性科学家被安排在一个男性占主导地位的团队中,她们可能会发挥巩固代表的作用。稳健性结果表明,这些结论也适用于男性科学家。结果表明,男性和女性在创新方面没有明显的生理差异,关键是要在合作中找到性别平衡。基于相似性吸引和认知多样性理论,造成男女科学家差异的原因可能是团队氛围和他们在合作中的角色。这项研究可为政策制定者和资助者建立团队以实现颠覆性发现提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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