2024
DOI: 10.5465/amle.2021.0063
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An Ivory Tower of Babel? The Impact of Size and Diversity of Teams on Research Performance in Business Schools

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Cited by 2 publications
(5 citation statements)
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“…In the second set of analyses, we extracted all bibliometric information on authorship and citations for all articles published in JMS in the same period and examined econometrically the variables that were associated with performance (i.e., using citation counts as a proxy). We used binomial regression estimation since we were dealing with both count data and overdispersion (Krammer, 2009; Krammer and Dahlin, 2023). Following prior studies in this vein, we have included a large batch of controls to ensure the robustness of our results.…”
Section: Quantitative and Qualitative Analysis Of Jms Contentmentioning
confidence: 99%
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“…In the second set of analyses, we extracted all bibliometric information on authorship and citations for all articles published in JMS in the same period and examined econometrically the variables that were associated with performance (i.e., using citation counts as a proxy). We used binomial regression estimation since we were dealing with both count data and overdispersion (Krammer, 2009; Krammer and Dahlin, 2023). Following prior studies in this vein, we have included a large batch of controls to ensure the robustness of our results.…”
Section: Quantitative and Qualitative Analysis Of Jms Contentmentioning
confidence: 99%
“…Given the continuous proliferation of business schools around the world (Hawawini, 2016) and the increasing emphasis on research performance (Krammer and Dahlin, 2023), particularly in terms of top publications (Aguinis et al, 2020) and interdisciplinarity (Ryan and Neumann, 2013), we would expect that scholarly contributions to JMS would originate from an increasingly diverse group of regions and countries, target an increasing range of issues/topics, and often cross disciplinary boundaries. Hence, in this context, we have several research aims:…”
Section: Introductionmentioning
confidence: 99%
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