Optimal research team composition: data envelopment analysis of Fermilab experiments

Slobodan Perović (), Sandro Radovanović, Vlasta Sikimić and Andrea Berber
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Slobodan Perović: University of Belgrade
Sandro Radovanović: University of Belgrade
Vlasta Sikimić: Technische Universität Wien
Andrea Berber: University of Belgrade

Scientometrics, 2016, vol. 108, issue 1, No 5, 83-111

Abstract: Abstract We employ data envelopment analysis on a series of experiments performed in Fermilab, one of the major high-energy physics laboratories in the world, in order to test their efficiency (as measured by publication and citation rates) in terms of variations of team size, number of teams per experiment, and completion time. We present the results and analyze them, focusing in particular on inherent connections between quantitative team composition and diversity, and discuss them in relation to other factors contributing to scientific production in a wider sense. Our results concur with the results of other studies across the sciences showing that smaller research teams are more productive, and with the conjecture on curvilinear dependence of team size and efficiency.

Keywords: Social epistemology of science; Team size; Team diversity; Data envelopment analysis; High energy physics; Fermilab (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11192-016-1947-9

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