IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v127y2022i12d10.1007_s11192-022-04285-x.html
   My bibliography  Save this article

Size of science team at university and internal co-publications: science policy implications

Author

Listed:
  • Hamid Bouabid

    (Mohammed V University of Rabat)

  • Hind Achachi

    (Ibn Tofail University)

Abstract

Scientific collaboration within a science team (unit, group, etc.) has been under scrutiny. Recently, science of team science has emerged to use science for deep understanding of the ways researchers jointly perform science to increase their team’s performance. This article analyses internal scientific outputs with respect to the size of university’s science team. The objective is to examine the science policy motive that is, if the team size increases, by encouraging academics to gather in larger teams, then their outputs increase. The method of the contrapositive of this conditional statement is adopted. Thus, 120 accredited teams, composed of about 1500 academics in four universities in Morocco, were analyzed using a cross-matrix of members’ co-publications, an intra-collaboration index, Lorenz curve of both internal co-publications and sole-publications, with respect to team’s size. Our findings show that internal co-publications and sole ones are higher for small size teams and that the Lorenz distributions of these two indicators are unequal in favor of small size teams. We discuss the implications of our findings for science policy, beyond size, such as the output- instead of input-based perspective to form a team, time requirement to build a collaborative team, inter- and intra-disciplinarity oriented research, team directorship, etc.

Suggested Citation

  • Hamid Bouabid & Hind Achachi, 2022. "Size of science team at university and internal co-publications: science policy implications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6993-7013, December.
  • Handle: RePEc:spr:scient:v:127:y:2022:i:12:d:10.1007_s11192-022-04285-x
    DOI: 10.1007/s11192-022-04285-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-022-04285-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-022-04285-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2011. "Evaluating research: from informed peer review to bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 499-514, June.
    2. Jha, Yamini & Welch, Eric W., 2010. "Relational mechanisms governing multifaceted collaborative behavior of academic scientists in six fields of science and engineering," Research Policy, Elsevier, vol. 39(9), pages 1174-1184, November.
    3. Jeremy Birnholtz & Shion Guha & Y. Connie Yuan & Geri Gay & Caren Heller, 2013. "Cross‐campus collaboration: A scientometric and network case study of publication activity across two campuses of a single institution," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(1), pages 162-172, January.
    4. 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.
    5. Staša Milojević, 2010. "Modes of collaboration in modern science: Beyond power laws and preferential attachment," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(7), pages 1410-1423, July.
    6. 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.
    7. Nick Haslam & Lauren Ban & Leah Kaufmann & Stephen Loughnan & Kim Peters & Jennifer Whelan & Sam Wilson, 2008. "What makes an article influential? Predicting impact in social and personality psychology," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(1), pages 169-185, July.
    8. Staša Milojević, 2010. "Modes of collaboration in modern science: Beyond power laws and preferential attachment," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(7), pages 1410-1423, July.
    9. Jeremy Birnholtz & Shion Guha & Y. Connie Yuan & Geri Gay & Caren Heller, 2013. "Cross-campus collaboration: A scientometric and network case study of publication activity across two campuses of a single institution," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 162-172, January.
    10. Walsh, John P. & Lee, You-Na & Tang, Li, 2019. "Pathogenic organization in science: Division of labor and retractions," Research Policy, Elsevier, vol. 48(2), pages 444-461.
    11. 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.
    12. Torben Schubert, 2014. "Are there scale economies in scientific production? On the topic of locally increasing returns to scale," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 393-408, May.
    13. Grit Laudel, 2002. "What do we measure by co-authorships?," Research Evaluation, Oxford University Press, vol. 11(1), pages 3-15, April.
    14. Maaike Verbree & Edwin Horlings & Peter Groenewegen & Inge Weijden & Peter Besselaar, 2015. "Organizational factors influencing scholarly performance: a multivariate study of biomedical research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 25-49, January.
    15. Louis-Michel Lebeau & Marie-Claude Laframboise & Vincent Larivière & Yves Gingras, 2008. "The effect of university–industry collaboration on the scientific impact of publications: the Canadian case, 1980–2005," Research Evaluation, Oxford University Press, vol. 17(3), pages 227-232, September.
    16. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    17. Olle Persson & Wolfgang Glänzel & Rickard Danell, 2004. "Inflationary bibliometric values: The role of scientific collaboration and the need for relative indicators in evaluative studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 421-432, August.
    18. Yuxian Liu & Yishan Wu & Sandra Rousseau & Ronald Rousseau, 2020. "Reflections on and a short review of the science of team science," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 937-950, November.
    19. Wang, Jian & Hicks, Diana, 2015. "Scientific teams: Self-assembly, fluidness, and interdependence," Journal of Informetrics, Elsevier, vol. 9(1), pages 197-207.
    20. Seongkyoon Jeong & Jae Young Choi, 2015. "Collaborative research for academic knowledge creation: How team characteristics, motivation, and processes influence research impact," Science and Public Policy, Oxford University Press, vol. 42(4), pages 460-473.
    21. Nicolas Carayol & Mireille Matt, 2006. "Individual and Collective Determinants of Academic Scientists' Productivity," Post-Print hal-00279197, HAL.
    22. Per O. Seglen & Dag W. Aksnes, 2000. "Scientific Productivity and Group Size: A Bibliometric Analysis of Norwegian Microbiological Research," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(1), pages 125-143, August.
    23. Defazio, Daniela & Lockett, Andy & Wright, Mike, 2009. "Funding incentives, collaborative dynamics and scientific productivity: Evidence from the EU framework program," Research Policy, Elsevier, vol. 38(2), pages 293-305, March.
    24. Andrea Bonaccorsi & Cinzia Daraio & Léopold Simar, 2006. "Advanced indicators of productivity of universitiesAn application of robust nonparametric methods to Italian data," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(2), pages 389-410, February.
    25. 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.
    26. María Bordons & Javier Aparicio & Rodrigo Costas, 2013. "Heterogeneity of collaboration and its relationship with research impact in a biomedical field," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 443-466, August.
    27. Hamid Bouabid, 2014. "Science and technology metrics for research policy evaluation: some insights from a Moroccan experience," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 899-915, October.
    28. Jesús Rey-Rocha & Belén Garzón-García & M. José Martín-Sempere, 2006. "Scientists' performance and consolidation of research teams in Biology and Biomedicine at the Spanish Council for Scientific Research," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(2), pages 183-212, November.
    29. Smith, Thomas Bryan & Vacca, Raffaele & Krenz, Till & McCarty, Christopher, 2021. "Great minds think alike, or do they often differ? Research topic overlap and the formation of scientific teams," Journal of Informetrics, Elsevier, vol. 15(1).
    30. Tasso Brandt & Torben Schubert, 2013. "Is the university model an organizational necessity? Scale and agglomeration effects in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 541-565, February.
    31. Hannes Toivanen & Branco Ponomariov, 2011. "African regional innovation systems: bibliometric analysis of research collaboration patterns 2005–2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 471-493, August.
    32. Alberto Pepe & Marko A. Rodriguez, 2010. "Collaboration in sensor network research: an in-depth longitudinal analysis of assortative mixing patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 687-701, September.
    33. Domenico De Stefano & Giuseppe Giordano & Maria Vitale, 2011. "Issues in the analysis of co-authorship networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 1091-1107, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Belén Álvarez-Bornstein & Adrián A. Díaz-Faes & María Bordons, 2019. "What characterises funded biomedical research? Evidence from a basic and a clinical domain," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 805-825, May.
    2. J. Sylvan Katz & Guillermo Armando Ronda-Pupo, 2019. "Cooperation, scale-invariance and complex innovation systems: a generalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 1045-1065, November.
    3. Chao Lu & Yingyi Zhang & Yong‐Yeol Ahn & Ying Ding & Chenwei Zhang & Dandan Ma, 2020. "Co‐contributorship network and division of labor in individual scientific collaborations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(10), pages 1162-1178, October.
    4. Miloš Savić & Mirjana Ivanović & Bojana Dimić Surla, 2017. "Analysis of intra-institutional research collaboration: a case of a Serbian faculty of sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 195-216, January.
    5. Gómez-Ferri, Javier & González-Alcaide, Gregorio & LLopis-Goig, Ramón, 2019. "Measuring dissatisfaction with coauthorship: An empirical approach based on the researchers’ perception," Journal of Informetrics, Elsevier, vol. 13(4).
    6. Maki Kato & Asao Ando, 2013. "The relationship between research performance and international collaboration in chemistry," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 535-553, December.
    7. Andrea Bonaccorsi & Cinzia Daraio & Leopold Simar, 2014. "Efficiency and economies of scale and scope in European universities. A directional distance approach," DIAG Technical Reports 2014-08, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    8. Andrea Fronzetti Colladon & Ciriaco Andrea D’Angelo & Peter A. Gloor, 2020. "Predicting the future success of scientific publications through social network and semantic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 357-377, July.
    9. Chin-Chang Tsai & Elizabeth A. Corley & Barry Bozeman, 2016. "Collaboration experiences across scientific disciplines and cohorts," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 505-529, August.
    10. Cimenler, Oguz & Reeves, Kingsley A. & Skvoretz, John, 2014. "A regression analysis of researchers’ social network metrics on their citation performance in a college of engineering," Journal of Informetrics, Elsevier, vol. 8(3), pages 667-682.
    11. Ding, Ying, 2011. "Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks," Journal of Informetrics, Elsevier, vol. 5(1), pages 187-203.
    12. Sabrina J. Mayer & Justus M. K. Rathmann, 2018. "How does research productivity relate to gender? Analyzing gender differences for multiple publication dimensions," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1663-1693, December.
    13. Corsini, Alberto & Pezzoni, Michele, 2023. "Does grant funding foster research impact? Evidence from France," Journal of Informetrics, Elsevier, vol. 17(4).
    14. Önder, Ali Sina & Schweitzer, Sascha & Yilmazkuday, Hakan, 2021. "Specialization, field distance, and quality in economists’ collaborations," Journal of Informetrics, Elsevier, vol. 15(4).
    15. Svein Kyvik & Ingvild Reymert, 2017. "Research collaboration in groups and networks: differences across academic fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 951-967, November.
    16. Rodrigo Costas & María Bordons, 2011. "Do age and professional rank influence the order of authorship in scientific publications? Some evidence from a micro-level perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 145-161, July.
    17. Mehdi Rhaiem & Nabil Amara, 2020. "Determinants of research efficiency in Canadian business schools: evidence from scholar-level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 53-99, October.
    18. Peter van den Besselaar & Ulf Sandström, 2016. "Gender differences in research performance and its impact on careers: a longitudinal case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 143-162, January.
    19. Thomas Bolli & Jörg Schläpfer, 2015. "Job mobility, peer effects, and research productivity in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 629-650, September.
    20. María Bordons & Borja González-Albo & Javier Aparicio & Luz Moreno, 2015. "The influence of R&D intensity of countries on the impact of international collaborative research: evidence from Spain," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1385-1400, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:127:y:2022:i:12:d:10.1007_s11192-022-04285-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.