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An Ivory Tower of Babel? The Impact of Size and Diversity of Teams on Research Performance in Business Schools
University of Surrey, UK.
Mälardalen University, School of Business, Society and Engineering, Industrial Economics and Organisation.ORCID iD: 0000-0003-0826-7052
2024 (English)In: Academy of Management Learning & Education, ISSN 1537-260X, E-ISSN 1944-9585, Vol. 23, no 2, p. 214-245Article in journal (Refereed) Published
Abstract [en]

Despite the prevalence of teams in research, there is a lack of a good understanding of how their size and diversity affects their performance. We develop a theoretical framework that distinguishes two dimensions of research performance for an academic paper: impact (i.e., subsequent citations) and prestige (i.e., ranking of the journal where research is published). We propose that, while larger teams will enhance linearly the impact of research, they will affect its prestige in a nonlinear fashion. We further contend that these effects will be moderated by knowledge and international diversity of the teams. We test these hypotheses using bibliometric data between 1990 and 2020 on more than 1.4 million papers and 18 million citation counts across 22 subfields in management. Our results confirm significant benefits for research impact from both team size and diversity, but also highlight drawbacks when teams become very large and heterogeneous. Moreover, we find a nonlinear positive effect of team size on research prestige that can be offset only by high levels of knowledge diversity. These findings are robust to a variety of proxies, controls, and estimation techniques, including instrumental variables and propensity score matching. We discuss practical implications for stimulating research performance in business schools.

Place, publisher, year, edition, pages
2024. Vol. 23, no 2, p. 214-245
National Category
Business Administration
Research subject
Industrial Economics and Organisations
Identifiers
URN: urn:nbn:se:mdh:diva-64628DOI: 10.5465/amle.2021.0063ISI: 001286010000002Scopus ID: 2-s2.0-85197882086OAI: oai:DiVA.org:mdh-64628DiVA, id: diva2:1808248
Available from: 2023-10-30 Created: 2023-10-30 Last updated: 2024-12-05

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Dahlin, Peter

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