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Optimal research team composition: data envelopment analysis of Fermilab experiments

Author

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  • Slobodan Perović

    (University of Belgrade)

  • Sandro Radovanović

    (University of Belgrade)

  • Vlasta Sikimić

    (Technische Universität Wien)

  • Andrea Berber

    (University of Belgrade)

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.

Suggested Citation

  • Slobodan Perović & Sandro Radovanović & Vlasta Sikimić & Andrea Berber, 2016. "Optimal research team composition: data envelopment analysis of Fermilab experiments," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 83-111, July.
  • Handle: RePEc:spr:scient:v:108:y:2016:i:1:d:10.1007_s11192-016-1947-9
    DOI: 10.1007/s11192-016-1947-9
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    References listed on IDEAS

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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, December.
    2. Andrea Bonaccorsi & Cinzia Daraio, 2005. "Exploring size and agglomeration effects on public research productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 63(1), pages 87-120, March.
    3. Finn Valentin & Maria Theresa Norn & Lars Alkaersig, 2016. "Orientations and outcome of interdisciplinary research: the case of research behaviour in translational medical science," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 67-90, January.
    4. Karen A. Bantel & Susan E. Jackson, 1989. "Top management and innovations in banking: Does the composition of the top team make a difference?," Strategic Management Journal, Wiley Blackwell, vol. 10(S1), pages 107-124, June.
    5. Carillo, Maria Rosaria & Papagni, Erasmo & Sapio, Alessandro, 2013. "Do collaborations enhance the high-quality output of scientific institutions? Evidence from the Italian Research Assessment Exercise," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 47(C), pages 25-36.
    6. Jian Wang & Bart Thijs & Wolfgang Glänzel, 2015. "Interdisciplinarity and Impact: Distinct Effects of Variety, Balance, and Disparity," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-18, May.
    7. Carayol, Nicolas & Matt, Mireille, 2006. "Individual and collective determinants of academic scientists' productivity," Information Economics and Policy, Elsevier, vol. 18(1), pages 55-72, March.
    8. Nicolas Carayol & Mireille Matt, 2004. "Does research organization influence academic production ?," Post-Print hal-00279014, HAL.
    9. Michael H. MacRoberts & Barbara R. MacRoberts, 1989. "Problems of citation analysis: A critical review," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 40(5), pages 342-349, September.
    10. Olson, Bradley J. & Bao, Yongjian & Parayitam, Satyanarayana, 2007. "Strategic decision making within Chinese firms: The effects of cognitive diversity and trust on decision outcomes," Journal of World Business, Elsevier, vol. 42(1), pages 35-46, March.
    11. René Wal & Anke Fischer & Mick Marquiss & Steve Redpath & Sarah Wanless, 2009. "Is bigger necessarily better for environmental research?," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 317-322, February.
    12. Hugo Horta & T Austin Lacy, 2011. "How does size matter for science? Exploring the effects of research unit size on academics' scientific productivity and information exchange behaviors," Science and Public Policy, Oxford University Press, vol. 38(6), pages 449-460, July.
    13. James H. Fowler & Dag W. Aksnes, 2007. "Does self-citation pay?," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(3), pages 427-437, September.
    14. Carayol, Nicolas & Matt, Mireille, 2004. "Does research organization influence academic production?: Laboratory level evidence from a large European university," Research Policy, Elsevier, vol. 33(8), pages 1081-1102, October.
    15. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    16. Benedetto Torrisi, 2014. "A multidimensional approach to academic productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 755-783, June.
    17. Alireza Abbasi & Liaquat Hossain & Shahadat Uddin & Kim J. R. Rasmussen, 2011. "Evolutionary dynamics of scientific collaboration networks: multi-levels and cross-time analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 687-710, November.
    18. Heinze, Thomas & Shapira, Philip & Rogers, Juan D. & Senker, Jacqueline M., 2009. "Organizational and institutional influences on creativity in scientific research," Research Policy, Elsevier, vol. 38(4), pages 610-623, May.
    19. Martin, Ben R. & Irvine, John, 1984. "CERN: Past performance and future prospects : I. CERN's position in world high-energy physics," Research Policy, Elsevier, vol. 13(4), pages 183-210, August.
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    3. Xiangyu Guo & Canhui Deng & Dan Wang & Xu Du & Jiali Li & Bowen Wan, 2021. "International Comparison of the Efficiency of Agricultural Science, Technology, and Innovation: A Case Study of G20 Countries," Sustainability, MDPI, vol. 13(5), pages 1-16, March.

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