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Team Size, Research Variety, and Research Performance: Do Coauthors’ Coauthors Matter?

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  • Zhu, Nibing
  • Liu, Chang
  • Yang, Zhilin

Abstract

Despite team-based works having been dominant in scientific production, little is known about the relationships between team size and research performance in cross-domain research contexts. Drawn from a collaboration network of 114,577 scholars, we first investigate the relationships between team size and both research productivity and impact. In the first-degree network (i.e., a network that consists of the focal author, the coauthors, and the connections among the nodes), productivity is positively associated with team size, while team size and research impact exhibit an inverted-U shaped relationship. In the second-degree network (i.e., a network that consists of the focal author, the coauthors, the coauthors’ coauthors, and the connections among the nodes), both research productivity and impact suggest an inverted-U shaped relationship with the team size of second-degree connections. We also find that research variety exerts a moderating effect on the relationships between team size and research performance. With the increase in research variety, the curvilinear relationship between first-degree team size and research productivity steepens, whereas the inverted-U shaped relationship between first-degree team size and research impact first flattens and then displays a U-shaped relationship. In the second-degree network, team size exerts little influence on research productivity when research variety is extremely small, and such an effect becomes inverted-U shaped when research variety increases. The turning point for the inverted-U shaped relationship between second-degree team size and research impact continues to shift to the left and down as research variety increases.

Suggested Citation

  • Zhu, Nibing & Liu, Chang & Yang, Zhilin, 2021. "Team Size, Research Variety, and Research Performance: Do Coauthors’ Coauthors Matter?," Journal of Informetrics, Elsevier, vol. 15(4).
    • Handle: RePEc:eee:infome:v:15:y:2021:i:4:s1751157721000766
    DOI: 10.1016/j.joi.2021.101205
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    References listed on IDEAS

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    1. Adams, James D. & Black, Grant C. & Clemmons, J. Roger & Stephan, Paula E., 2005. "Scientific teams and institutional collaborations: Evidence from U.S. universities, 1981-1999," Research Policy, Elsevier, vol. 34(3), pages 259-285, April.
    2. Dean Keith Simonton, 2013. "Scientific genius is extinct," Nature, Nature, vol. 493(7434), pages 602-602, January.
    3. Benjamin F. Jones, 2009. "The Burden of Knowledge and the "Death of the Renaissance Man": Is Innovation Getting Harder?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(1), pages 283-317.
    4. Lingfei Wu & Dashun Wang & James A. Evans, 2019. "Large teams develop and small teams disrupt science and technology," Nature, Nature, vol. 566(7744), pages 378-382, February.
    5. Gomes-Casseres, Benjamin & Hagedoorn, John & Jaffe, Adam B., 2006. "Do alliances promote knowledge flows?," Journal of Financial Economics, Elsevier, vol. 80(1), pages 5-33, April.
    6. Kamal Badar & Julie M. Hite & Naeem Ashraf, 2015. "Knowledge network centrality, formal rank and research performance: evidence for curvilinear and interaction effects," Post-Print hal-02945454, HAL.
    7. Vincent Larivière & Yves Gingras & Cassidy R. Sugimoto & Andrew Tsou, 2015. "Team size matters: Collaboration and scientific impact since 1900," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(7), pages 1323-1332, July.
    8. Davide Nicolini & Jeanne Mengis & Jacky Swan, 2012. "Understanding the Role of Objects in Cross-Disciplinary Collaboration," Organization Science, INFORMS, vol. 23(3), pages 612-629, June.
    9. Dovev Lavie & Israel Drori, 2012. "Collaborating for Knowledge Creation and Application: The Case of Nanotechnology Research Programs," Organization Science, INFORMS, vol. 23(3), pages 704-724, June.
    10. Vasileiadou, Eleftheria & Vliegenthart, Rens, 2009. "Research productivity in the era of the internet revisited," Research Policy, Elsevier, vol. 38(8), pages 1260-1268, October.
    11. Li, Eldon Y. & Liao, Chien Hsiang & Yen, Hsiuju Rebecca, 2013. "Co-authorship networks and research impact: A social capital perspective," Research Policy, Elsevier, vol. 42(9), pages 1515-1530.
    12. Noriko Hara & Paul Solomon & Seung‐Lye Kim & Diane H. Sonnenwald, 2003. "An emerging view of scientific collaboration: Scientists' perspectives on collaboration and factors that impact collaboration," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(10), pages 952-965, August.
    13. Richard Van Noorden, 2015. "Interdisciplinary research by the numbers," Nature, Nature, vol. 525(7569), pages 306-307, September.
    14. Kamal Badar & Julie M. Hite & Naeem Ashraf, 2015. "Knowledge network centrality, formal rank and research performance: evidence for curvilinear and interaction effects," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1553-1576, December.
    15. M. Bordons & M. A. Zulueta & F. Romero & S. Barrigón, 1999. "Measuring interdisciplinary collaboration within a university: The effects of the multidisciplinary research programme," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 383-398, November.
    16. Janardhanan, Niranjan S. & Lewis, Kyle & Reger, Rhonda K. & Stevens, Cynthia K., 2020. "Getting to know you: motivating cross-understanding for improved team and individual performance," LSE Research Online Documents on Economics 101239, London School of Economics and Political Science, LSE Library.
    17. Franceschet, Massimo & Costantini, Antonio, 2010. "The effect of scholar collaboration on impact and quality of academic papers," Journal of Informetrics, Elsevier, vol. 4(4), pages 540-553.
    18. Jiang, Ling (Alice) & Zhu, Nibing & Yang, Zhilin & Xu, Shen & Jun, Minjoon, 2018. "The relationships between distance factors and international collaborative research outcomes: A bibliometric examination," Journal of Informetrics, Elsevier, vol. 12(3), pages 618-630.
    19. Vincent Larivière & Rodrigo Costas, 2016. "How Many Is Too Many? On the Relationship between Research Productivity and Impact," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-10, September.
    20. Abramo, Giovanni & D’Angelo, Andrea Ciriaco & Murgia, Gianluca, 2017. "The relationship among research productivity, research collaboration, and their determinants," Journal of Informetrics, Elsevier, vol. 11(4), pages 1016-1030.
    21. Chen, Kaihua & Zhang, Yi & Zhu, Guilong & Mu, Rongping, 2020. "Do research institutes benefit from their network positions in research collaboration networks with industries or/and universities?," Technovation, Elsevier, vol. 94.
    22. Schilling, Melissa A. & Green, Elad, 2011. "Recombinant search and breakthrough idea generation: An analysis of high impact papers in the social sciences," Research Policy, Elsevier, vol. 40(10), pages 1321-1331.
    23. Jian Wang, 2013. "Citation time window choice for research impact evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 851-872, March.
    24. Lee, You-Na & Walsh, John P. & Wang, Jian, 2015. "Creativity in scientific teams: Unpacking novelty and impact," Research Policy, Elsevier, vol. 44(3), pages 684-697.
    25. Andrew Mao & Winter Mason & Siddharth Suri & Duncan J Watts, 2016. "An Experimental Study of Team Size and Performance on a Complex Task," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-22, April.
    26. Niranjan S. Janardhanan & Kyle Lewis & Rhonda K. Reger & Cynthia K. Stevens, 2020. "Getting to Know You: Motivating Cross-Understanding for Improved Team and Individual Performance," Organization Science, INFORMS, vol. 31(1), pages 103-118, January.
    27. Mohammad Ahmadpoor & Benjamin F. Jones, 2019. "Decoding team and individual impact in science and invention," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(28), pages 13885-13890, July.
    28. Ynalvez, Marcus Antonius & Shrum, Wesley M., 2011. "Professional networks, scientific collaboration, and publication productivity in resource-constrained research institutions in a developing country," Research Policy, Elsevier, vol. 40(2), pages 204-216, March.
    29. Marian-Gabriel Hâncean & Matjaž Perc & Jürgen Lerner, 2021. "The coauthorship networks of the most productive European researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 201-224, January.
    30. Belkhouja, Mustapha & Yoon, Hyungseok (David), 2018. "How does openness influence the impact of a scholar’s research? An analysis of business scholars’ citations over their careers," Research Policy, Elsevier, vol. 47(10), pages 2037-2047.
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