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Assessing social capital in academic research teams: a measurement instrument proposal

Author

Listed:
  • Fernando Martín-Alcázar

    (University of Cadiz)

  • Marta Ruiz-Martínez

    (University of Cadiz)

  • Gonzalo Sánchez-Gardey

    (University of Cadiz)

Abstract

The increasing importance of multidisciplinarity and scientific collaboration makes it necessary to explore the configuration and structure of relationships within researchers’ teams. The academic social capital construct can be particularly useful to conceptualize these internal ties. Nevertheless, the majority of studies in the academic context have measured social capital through social network techniques, drawing on quantitative counts of encounters to measure relationships. This approach fails to measure more qualitative and behavioural dimensions of social capital, which also need to be accounted for to fully understand relational dynamics within research teams. Considering this, the paper aims to propose and validate an instrument to measure academic social capital that combines the two approaches. First, based on the consensus opinion of an expert panel (Delphi method), a questionnaire comprising 20 items was designed and implemented. The scale was complemented with sociometric questions for assessing position and interconnectivity within the network. Second, an exploratory factor analysis technique was applied. The designed instrument was specified as a second-order model with three first-order factors (relational dimension, cognitive dimension and structural dimension) and a second-order factor (social capital). The confirmatory factorial analysis verified that the proposed model fit the sample data, showing that it could be used to reliably measure academic social capital.

Suggested Citation

  • Fernando Martín-Alcázar & Marta Ruiz-Martínez & Gonzalo Sánchez-Gardey, 2019. "Assessing social capital in academic research teams: a measurement instrument proposal," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 917-935, November.
    • Handle: RePEc:spr:scient:v:121:y:2019:i:2:d:10.1007_s11192-019-03212-x
    DOI: 10.1007/s11192-019-03212-x
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    as
    1. Jorge Rodriguez Miramontes & C. N. Gonzalez-Brambila, 2016. "The effects of external collaboration on research output in engineering," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 661-675, November.
    2. Tim Rowley & Dean Behrens & David Krackhardt, 2000. "Redundant governance structures: an analysis of structural and relational embeddedness in the steel and semiconductor industries," Strategic Management Journal, Wiley Blackwell, vol. 21(3), pages 369-386, March.
    3. Gonzalez-Brambila, Claudia N. & Veloso, Francisco M. & Krackhardt, David, 2013. "The impact of network embeddedness on research output," Research Policy, Elsevier, vol. 42(9), pages 1555-1567.
    4. Fabio Fonti & Massimo Maoret, 2016. "The direct and indirect effects of core and peripheral social capital on organizational performance," Strategic Management Journal, Wiley Blackwell, vol. 37(8), pages 1765-1786, August.
    5. 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.
    6. Jesús Rey-Rocha & María José Martín-Sempere & Belén Garzón, 2002. "Research productivity of scientists in consolidated vs. non-consolidated teams: The case of Spanish university geologists," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(1), pages 137-156, September.
    7. Kevyn Yong & Stephen J. Sauer & Elizabeth A. Mannix, 2014. "Conflict and Creativity in Interdisciplinary Teams," Post-Print hal-01025957, HAL.
    8. 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.
    9. 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.
    10. Helmut A. Abt, 2007. "The future of single-authored papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(3), pages 353-358, December.
    11. Corey C. Phelps & Ralph Heidl & Anu Wadhwa, 2012. "Networks, knowledge, and knowledge networks: A critical review and research agenda," Post-Print hal-00715591, HAL.
    12. 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.
    13. Fu-Sheng Tsai & Gayle Baugh & Shih-Chieh Fang & Julia Lin, 2014. "Contingent contingency: Knowledge heterogeneity and new product development performance revisited," Asia Pacific Journal of Management, Springer, vol. 31(1), pages 149-169, March.
    14. Porac, Joseph F. & Wade, James B. & Fischer, Harald M. & Brown, Joyce & Kanfer, Alaina & Bowker, Geoffrey, 2004. "Human capital heterogeneity, collaborative relationships, and publication patterns in a multidisciplinary scientific alliance: a comparative case study of two scientific teams," Research Policy, Elsevier, vol. 33(4), pages 661-678, May.
    15. Dorothea Jansen & Regina Görtz & Richard Heidler, 2010. "Knowledge production and the structure of collaboration networks in two scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 219-241, April.
    16. Hoekman, Jarno & Frenken, Koen & Tijssen, Robert J.W., 2010. "Research collaboration at a distance: Changing spatial patterns of scientific collaboration within Europe," Research Policy, Elsevier, vol. 39(5), pages 662-673, June.
    17. Ray Reagans & Ezra W. Zuckerman, 2001. "Networks, Diversity, and Productivity: The Social Capital of Corporate R&D Teams," Organization Science, INFORMS, vol. 12(4), pages 502-517, August.
    18. Barry Bozeman & Daniel Fay & Catherine Slade, 2013. "Research collaboration in universities and academic entrepreneurship: the-state-of-the-art," The Journal of Technology Transfer, Springer, vol. 38(1), pages 1-67, February.
    19. Mario Coccia & Barry Bozeman, 2016. "Allometric models to measure and analyze the evolution of international research collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1065-1084, September.
    20. Tiziana Casciaro & Miguel Sousa Lobo, 2015. "Affective Primacy in Intraorganizational Task Networks," Organization Science, INFORMS, vol. 26(2), pages 373-389, April.
    21. Bozeman, Barry & Corley, Elizabeth, 2004. "Scientists' collaboration strategies: implications for scientific and technical human capital," Research Policy, Elsevier, vol. 33(4), pages 599-616, May.
    22. Renzl, Birgit, 2008. "Trust in management and knowledge sharing: The mediating effects of fear and knowledge documentation," Omega, Elsevier, vol. 36(2), pages 206-220, April.
    23. 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.
    24. Fabio Fonti & Massimo Maoret, 2016. "The direct and indirect effects of core and peripheral social capital on organizational performance," Post-Print hal-01478950, HAL.
    25. Radhamany Sooryamoorthy, 2009. "Do types of collaboration change citation? Collaboration and citation patterns of South African science publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 177-193, October.
    26. 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.
    27. Claudia N. Gonzalez-Brambila, 2014. "Social capital in academia," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1609-1625, December.
    28. Henry Kaiser, 1974. "An index of factorial simplicity," Psychometrika, Springer;The Psychometric Society, vol. 39(1), pages 31-36, March.
    29. M. José Martín-Sempere & Belén Garzón-García & Jesús Rey-Rocha, 2008. "Team consolidation, social integration and scientists’ research performance: An empirical study in the Biology and Biomedicine field," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 457-482, September.
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