The interaction of inter-organizational diversity and team size, and the scientific impact of papers

IF 7.4 1区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Information Processing & Management Pub Date : 2024-08-06 DOI:10.1016/j.ipm.2024.103851
Hyoung Sun Yoo , Ye Lim Jung , June Young Lee , Chul Lee
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Abstract

Large teams are known to be more likely to publish highly cited papers, while small teams are known to be better at publishing highly disruptive papers. However, there is a lack of adequate theoretical understanding of the mechanisms by which scientific collaboration among researchers is related to the scientific impact of their papers. We investigated the mechanisms more closely by focusing on the interaction of inter-organizational diversity and team size in the process of team formation and knowledge dissemination. We analyzed 12,010,102 Web of Science papers and examined how inter-organizational diversity is associated with the relationship of team size with disruption and citations. As a result, we found that not only small teams, but also large teams with great inter-organizational diversity were able to disrupt science and technology effectively. We also found that large teams with greater inter-organizational diversity were more likely to produce highly cited papers. Our findings are robust and consistently observed regardless of publication year, team size, the number of references, and the degree of multidisciplinarity. These results have significant implications for researchers in selecting collaborators to achieve greater impact and for improving the qualitative efficiency of public research investments.

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组织间多样性与团队规模的相互作用以及论文的科学影响力
众所周知,大团队更有可能发表高引用率的论文,而小团队则更擅长发表高颠覆性的论文。然而,对于科研人员之间的科研合作与其论文的科学影响力之间的关系机制,我们还缺乏足够的理论认识。我们通过关注团队组建和知识传播过程中组织间多样性和团队规模的相互作用,对这一机制进行了更深入的研究。我们分析了12,010,102篇Web of Science论文,研究了组织间多样性与团队规模与干扰和引用之间的关系。结果我们发现,不仅小团队,而且组织间多样性强的大团队都能有效地颠覆科学技术。我们还发现,组织间多样性更强的大型团队更有可能产生高引用率的论文。无论论文发表年份、团队规模、参考文献数量和多学科程度如何,我们的研究结果都是稳健的,并能持续观察到。这些结果对研究人员选择合作者以产生更大影响以及提高公共研究投资的质量效率具有重要意义。
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来源期刊
Information Processing & Management
Information Processing & Management 工程技术-计算机:信息系统
CiteScore
17.00
自引率
11.60%
发文量
276
审稿时长
39 days
期刊介绍: Information Processing and Management is dedicated to publishing cutting-edge original research at the convergence of computing and information science. Our scope encompasses theory, methods, and applications across various domains, including advertising, business, health, information science, information technology marketing, and social computing. We aim to cater to the interests of both primary researchers and practitioners by offering an effective platform for the timely dissemination of advanced and topical issues in this interdisciplinary field. The journal places particular emphasis on original research articles, research survey articles, research method articles, and articles addressing critical applications of research. Join us in advancing knowledge and innovation at the intersection of computing and information science.
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