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Understanding scientific communities: a social network approach to collaborations in Talent Management research

Author

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  • Liliana Arroyo Moliner

    (ESADE Business & Law School)

  • Eva Gallardo-Gallardo

    (Universitat Politècnica de Catalunya-Barcelona Tech)

  • Pedro Gallo de Puelles

    (University of Barcelona)

Abstract

Research on talent management (TM) is an emerging field of study and little is known about the connections among authors in this research community. This paper aims at disclosing the dynamics in TM research by offering a detailed picture of its evolving collaboration networks. By means of social network analysis (SNA), we both show and explain the extent of collaboration, taking articles’ co-authorship as an indicator of collaboration. We graphically display how the network builds up throughout time, which has allowed us to examine its main structural characteristics. We analyze the contribution of individual researchers and identify key players in the research network and their characteristics. The co-authorship network is composed by loose and low-density collaborations, mainly consisting in two big components and surrounded by scattered and weak relationships. Two main research perspectives are built and consolidated through time, but they are missing the richness of exchanging ideas among different views. Our results complement recent studies on the dynamics of TM research by offering evidence on how and why collaboration among researchers shapes the current debates on the field. Some basic hypothesis about network indicators are also tested and provide further evidence for the SNA advancement. The findings can be of value in the design of strategies that might improve both system and individual performance.

Suggested Citation

  • Liliana Arroyo Moliner & Eva Gallardo-Gallardo & Pedro Gallo de Puelles, 2017. "Understanding scientific communities: a social network approach to collaborations in Talent Management research," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1439-1462, December.
    • Handle: RePEc:spr:scient:v:113:y:2017:i:3:d:10.1007_s11192-017-2537-1
    DOI: 10.1007/s11192-017-2537-1
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    as
    1. Saša Batistič & Robert Kaše, 2015. "The organizational socialization field fragmentation: a bibliometric review," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 121-146, July.
    2. Mark R. Costa & Jian Qin & Sarah Bratt, 2016. "Emergence of collaboration networks around large scale data repositories: a study of the genomics community using GenBank," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 21-40, July.
    3. Abbasi, Alireza & Hossain, Liaquat & Leydesdorff, Loet, 2012. "Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks," Journal of Informetrics, Elsevier, vol. 6(3), pages 403-412.
    4. Theresa Velden & Carl Lagoze, 2013. "The extraction of community structures from publication networks to support ethnographic observations of field differences in scientific communication," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(12), pages 2405-2427, December.
    5. Abbasi, Alireza & Altmann, Jörn & Hossain, Liaquat, 2011. "Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures," Journal of Informetrics, Elsevier, vol. 5(4), pages 594-607.
    6. Arduini, Davide & Zanfei, Antonello, 2014. "An overview of scholarly research on public e-services? A meta-analysis of the literature," Telecommunications Policy, Elsevier, vol. 38(5), pages 476-495.
    7. Loet Leydesdorff & Liwen Vaughan, 2006. "Co‐occurrence matrices and their applications in information science: Extending ACA to the Web environment," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(12), pages 1616-1628, October.
    8. Perc, Matjaž, 2010. "Growth and structure of Slovenia’s scientific collaboration network," Journal of Informetrics, Elsevier, vol. 4(4), pages 475-482.
    9. Nikias Sarafoglou & Jean Paelinck, 2008. "On diffusion of ideas in the academic world: the case of spatial econometrics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(2), pages 487-500, June.
    10. Wolfgang Glänzel & Cornelius de Lange, 2002. "A distributional approach to multinationality measures of international scientific collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(1), pages 75-89, April.
    11. Peng Liu & Haoxiang Xia, 2015. "Structure and evolution of co-authorship network in an interdisciplinary research field," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 101-134, April.
    12. Francisco José Acedo & Carmen Barroso & Cristóbal Casanueva & José Luis Galán, 2006. "Co‐Authorship in Management and Organizational Studies: An Empirical and Network Analysis," Journal of Management Studies, Wiley Blackwell, vol. 43(5), pages 957-983, July.
    13. Theresa Velden & Carl Lagoze, 2013. "The extraction of community structures from publication networks to support ethnographic observations of field differences in scientific communication," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(12), pages 2405-2427, December.
    14. Grit Laudel, 2002. "What do we measure by co-authorships?," Research Evaluation, Oxford University Press, vol. 11(1), pages 3-15, April.
    15. Dorte Henriksen, 2016. "The rise in co-authorship in the social sciences (1980–2013)," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 455-476, May.
    16. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    17. Antonio Perianes-Rodríguez & Carlos Olmeda-Gómez & Félix Moya-Anegón, 2010. "Detecting, identifying and visualizing research groups in co-authorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 307-319, February.
    18. Luka Kronegger & Franc Mali & Anuška Ferligoj & Patrick Doreian, 2012. "Collaboration structures in Slovenian scientific communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 631-647, February.
    19. Theresa Velden & Asif-ul Haque & Carl Lagoze, 2010. "A new approach to analyzing patterns of collaboration in co-authorship networks: mesoscopic analysis and interpretation," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 219-242, October.
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    Cited by:

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    2. Gregorio González-Alcaide & Héctor Pinargote & José M. Ramos, 2020. "From cut-points to key players in co-authorship networks: a case study in ventilator-associated pneumonia research," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 707-733, May.
    3. Jingbei Wang & Naiding Yang, 2019. "Dynamics of collaboration network community and exploratory innovation: the moderation of knowledge networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 1067-1084, November.
    4. Tian, Yunpei & Li, Gang & Mao, Jin, 2023. "Predicting the evolution of scientific communities by interpretable machine learning approaches," Journal of Informetrics, Elsevier, vol. 17(2).
    5. José Alberto Molina & David Iñiguez & Gonzalo Ruiz & Alfonso Tarancón, 2018. "The Nobel Prize in Economics: individual or collective merits?," Boston College Working Papers in Economics 966, Boston College Department of Economics.

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