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.
Similar content being viewed by others
References
Abbasi, A., Altmann, J., & Hossain, L. (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, 5(4), 594–607.
Abt, H. A. (2007). The future of single-authored papers. Scientometrics, 73(3), 353–358.
Adler, P. S., & Kwon, S. (2002). Prospects for a new concept. The Academy of Management Review, 27(1), 17–40.
Ahuja, G. (2000). Collaboration networks, structural holes, and innovation: a longitudinal study. Administrative Science Quarterly, 45(3), 425–455.
Anderson, M. (2008). Social networks and the cognitive motivation to realize network opportunities: a study of managers’ information gathering behaviors. Journal of Organizational Behavior, 29, 51–78.
Andrews, R. (2010). Organizational social capital, structure and performance. Human Relations, 63, 583–608.
Badar, K., Hite, J. M., & Ashraf, N. (2015). Knowledge network centrality, formal rank and research performance: Evidence for curvilinear and interaction effects. Scientometrics, 105(3), 1553–1576.
Badar, K., Hite, J. M., & Badir, Y. F. (2014). The moderating roles of academic age and institutional sector on the relationship between co-authorship network centrality and academic research performance. Aslib Journal of Information Management, 66(1), 38–53.
Ben, B. (2016). How intra-organizational social capital influences employee performance. Journal of Management Development, 35(9), 1119–1133.
Bentler, P. M. (2006). EQS 6 Structural Equations Program Manual. Encino, CA: Multivariate Software Inc.
Bourdieu, P. (1985). The forms of capital. In J. G. Richardson (Ed.), Handbook of theory and research for the sociology of education (pp. 241–258). New York, NY: Greenwood Press.
Bozeman, B., & Corley, E. (2004). Scientists’ collaboration strategies: Implications for scientific and technical human capital. Research policy, 33(4), 599–616.
Bozeman, B., Fay, D., & Slade, C. P. (2013). Research collaboration in universities and academic entrepreneurship: The-state-of-the-art. The Journal of Technology Transfer, 38(1), 1–67.
Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York: Guilford Press.
Burt, R. (1992). Structural Holes: The social structure of competition. Cambridge, MA: Harvard University Press.
Casciaro, T., & Lobo, M. (2015). Affective primacy in intraorganizational task networks. Organization Science, 26(2), 373–389.
Catell, R. B. (1966). The 16 personality factor questionaire. Champaign, IL: Institute for Personality an Ability Testing.
Chen, M.-H., Chang, Y.-C., & Hung, S.-C. (2008). Social capital and creativity in R&D project teams. R&D Management, 38, 21–34.
Choi, Y. (2015). The impact of social capital on employees’ knowledge-sharing behavior: An empirical analysis of U.S. Federal Agencies. Public performance & Management Review, 39, 381–405.
Chow, W. S., & Chan, L. S. (2008). Social network, social trust and shared goals in organizational knowledge sharing. Information & Management, 45, 458–465.
Chua, A. (2002). The influence of social interaction on knowledge creation. Journal of Intellectual Capital, 3(4), 375–392.
Clopton, A. (2011). Social capital and team performance. Team Performance Management, 17(7/8), 369–381.
Coccia, M., & Bozeman, B. (2016). Allometric models to measure and analyze the evolution of international research collaboration. Scientometrics, 108, 1065–1084.
Cohen, J. (1991). Size, age and productivity of scientific and technical research groups. Scientometrics, 20(3), 395–416.
Coleman, J. (1988). Social capital in the create of human capital. American Journal of Sociology, 94, 95–120.
Coleman, J. (1990). Foundations of social capital. Cambridge: Belknap.
Cummings, J., & Kiesler, S. (2005). Collaborative research across disciplinary and organizational boundaries. Social Studies of Science, 35(5), 703–722.
Cummings, J., & Kiesler, S. (2014). Organization theory and the changing nature of science. Journal of Organization Design, 3(3), 1–16.
Curseu, P. L., Raab, J., Han, J., & Loenen, A. (2012). Educational diversity and group effectiveness: A social network perspective. Journal of Managerial Psychology, 27(6), 576–594.
Dahlander, L., & Mcfarland, D. (2013). Ties that last: Tie formation and persistence in research collaborations over time. Administrative Science Quarterly, 58(1), 69–110.
Dooley, L., & Kirk, D. (2007). University–industry collaboration. European. Journal of Innovation Management, 10(3), 316–332.
Dziuban, C. D., & Shirkey, E. C. (1974). When is a correlation matrix appropriate for factor analysis? Some decision rules. Psychological Bulletin, 81(6), 358–361.
Etzkowitz, H., & Leydesdorff, L. (1999). The future location of research and technology transfer. Journal of Technology Transfer, 24, 111–123.
Falk-Krzesinski, H. J., Contractor, N., Fiore, S. M., Hall, K. L., Kane, C., & Keyton J. et al. (2011). Mapping a research agenda for the science of team science. Research Evaluation, 20(2), 145–158.
Fonti, F., & Maoret, M. (2016). The direct and indirect effects of core and peripheral social capital on organizational performance. Strategic Management Journal, 37, 1765–1786.
Gonzalez-Brambila, C. (2014). Social capital in academia. Scientometrics, 101, 1609–1625.
Gonzalez-Brambila, C., Veloso, F., & Krackhardt, D. (2013). The impact of network embeddedness on research output. Research Policy, 42, 1555–1567.
Granovetter, M. (1973). The strength of weak ties. American Journal of Sociology, 78(6), 1360–1380.
Hau, Y., Kim, B., Lee, H., & Kim, Y.-G. (2013). The effects of individual motivations and social capital on employees’ tacit and explicit knowledge sharing intentions. International Journal of Information Management, 33, 356–366.
Hoekman, J., Frenken, K., & Tijssen, R. (2010). Research collaboration at a distance: Changing spatial patterns of scientific collaboration within Europe. Research Policy, 39, 662–673.
Hooper, D., Coughlan, J., & Muller, M. (2008). Structural equation modelling: guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53–60.
Horwitz, S., & Horwitz, I. (2007). The effects of team diversity on team outcomes: A meta-analytic review of team demography. Journal of Management, 33, 987–1015.
Hu, L., & Bentler, P. (1999). Cut off criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modelling, 6(1), 1–55.
Hu, L., & Randel, A. (2014). Knowledge sharing in teams: Social capital, extrinsic incentives, and team innovation. Group and Organization Management, 39(2), 213–243.
Huysman, M., & Wulf, V. (2006). IT to support knowledge sharing in communities, toward a social capital analysis. Journal of information technology, 21, 40–51.
Jansen, D., Von Goertz, R., & Heidler, R. (2010). Knowledge production and the structure of collaboration networks in two scientific fields. Scientometrics, 83(1), 219–241.
Kaiser, H. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31–36.
Landeta, J. (2006). Current validity of the Delphi method in social sciences. Technological Forecasting and Social Change, 73, 467–482.
Lee, S., & Bozeman, B. (2005). The impact of research collaboration on scientific productivity. Social studies of science, 35(5), 673–702.
Lewicki, R. J., & Bunker, B. B. (1996). Developing and maintaining trust in work relationships. Trust in organizations: Frontiers of theory and research, 114, 139.
Li, E., Liao, C., & Yen, H. (2013). Co-authorship networks and research impact: A social capital perspective. Reseacrh Policy, 42, 1515–1530.
Lin, N. (2001). Social capital: A theory of social structure and action. Cambridge, MA: Cambridge University Press.
Martín-Sempere, M., Garzón-García, B., & Rey-Rocha, J. (2008). Team consolidation, social integration and scientists’ research performance: An empirical study in the Biology and Biomedicine field. Scientometrics, 76(3), 457–482.
Nahapiet, J., & Ghoshal, S. (1998). Social capital, intellectual capital, and the organizational advantage. Academy of Management Review, 23(2), 242–266.
Okoli, C., & Pawlowski, S. (2004). The Delphi method as a research tool: An example, design considerations and applications. Information & Management, 42, 15–29.
Payne, G., Moore, C., Griffis, S., & Autry, C. (2011). Multilevel challenges and opportunities in social capital research. Journal of Management, 37(2), 491–520.
Perianes-Rodriguez, A., & Olmeda-Gómez, C. (2010). Detecting, identifying and visualizing research groups in co-authorship networks. Scientometrics, 82, 307–319.
Perry-Smith, J., & Vincent, L. H. (2008). The benefits and liabilities of multidisciplinary commercialization teams: how professional composition and social networks influence team processes. In G. D. Libecap & M. C. Thursby (Eds.), Technological innovation: generating economic results. Advances in the study of entrepreneurship, innovation & economic growth (Vol. 18, pp. 35–60). Oxford: Elsevier JAI.
Phelps, C., Heidl, R., & Wadhwa, A. (2012). Knowledge, networks, and knowledge networks: A review and research agenda. Journal of Management, 38(4), 1115–1166.
Porac, J., Wade, J., Fischer, H., Brown, J., Kanfer, A., & Bowker, G. (2004). Human capital heterogeneity, collaborative relationships, and publication patterns in a multidisciplinary scientific alliance: A comparative case study of two scientific teams. Research Policy, 33, 661–678.
Reagans, R., & McEvily, B. (2003). Network structure and knowledge transfer: The effects of cohesion and range. Administrative Science Quarterly, 48, 240–267.
Reagans, R., & Zuckerman, E. (2001). Networks, diversity, and productivity: The social capital of corporate R&D teams. Organization Science, 12(4), 502.
Renzl, B. (2008). Trust in management and knowledge sharing: The mediating effects of fear and knowledge documentation. Omega, 36, 206–220.
Rey-Rocha, J., Martín-Sempere, M. J., & Garzón, B. (2002). Research productivity of scientists in consolidated vs. non-consolidated teams: The case of Spanish university geologists. Scientometrics, 55(1), 137–156.
Rey-Rocha, J., Garzón-García, B., & Martín-Sempere, M. J. (2006). Scientists’ performance and consolidation of research teams in Biology and Biomedicine at the Spanish Council for Scientific Research. Scientometrics, 69(2), 183–212.
Rice, E., & Yoshioka-Maxwell, A. (2015). Social network analysis as a toolkit for the science of social work. Journal of the Society for Social Work and Research, 6(3), 369–383.
Rodriguez, J., & Gonzalez-Brambila, C. N. (2016). The effects of external collaboration on research output in engineering. Scientometrics, 109, 661–675.
Rowley, T., Behrens, D., & Krackhardt, D. (2000). Redundant governance structures: An analysis of structural and relational embeddeness in the steel and semiconductor industries. Strategic Management Journal, 21, 369–386.
Sooryamoorthy, R. (2009). Do types of collaboration change citation? Collaboration and citation patterns of South African science publications. Scientometrics, 81(1), 177–193.
Tang, G., Chen, Y., Jiang, Y., Paillé, P., & Jia, J. (2018). Green human resource management practices: Scale development and validity. Asia Pacific Journal of Human Resources, 56, 31–55.
Tsai, F.-S., Baugh, G. S., Fang, S.-C., & Lin, J. L. (2014). Contingent contingency: Knowledge heterogeneity and new product development performance revisited. Asia Pacific Journal of Management, 31, 149–169.
Tsai, W., & Ghoshal, S. (1998). Social capital and value creation: The role of intrafirm networks. Academy of Management Journal, 41(4), 464.
Turkey, D. (2009). Measuring corporate social responsibility: A scale development study. Journal of Business Ethics, 84, 411–427.
Uzzi, B. (1996). Embeddedness and economic performance: The network effect. American Sociological Review, 61, 674–698.
Vabø, A., & Alvsvåg, A., Kyvik, S., & Reymert, I., (2016). The establishment of formal research groups in higher education institutions. Nordic Journal of Studies in Educational Policy, 2016(2–3), 33896.
Van den Hoff, B., & Huysman, M. (2009). Managing knowledge sharing: Emergent and engineering approaches. Information & Management, 46, 1–8.
Van Knippenberg, D., De Dreu, C. K. W., & Homan, A. C. (2004). Work group diversity and group performance: An integrative model and research agenda. Journal of Applied Psychology, 89, 1008–1022.
Wagner, C. L., & Fernandez-Gimenez, M. E. (2009). Effects of community-based collaborative group characteristics on social capital. Environmental management, 44(4), 632–645.
Xiao, Z., & Tsui, A. (2007). When brokers may not work: The cultural contingency of social capital in chinese high-tech firms. Administrative Science Quartely, 52, 1–31.
Yen, Y., Tseng, J., & Wang, H. (2015). The effect of internal social capital on knowledge sharing. Knowledge Management Research & Practice, 3(2), 214–224.
Yiu, D., & Lau, C.-M. (2008). Corporate entrepreneurship resources capital configuration in emerging market firms. Entrepreneurship: Theory and Practice, 32, 37–57.
Yong, K., Sauer, S., & Mannix, E. (2014). Conflict and creativity in interdisciplinary teams. Small Group Research, 45(3), 266–289.
Zheng, W. (2010). A social capital perspective of innovation from individuals to nations: Where is empirical literature directing us? International Journal of Management Reviews, 12, 151–183.
Acknowledgements
Authors are ordered alphabetically. This study has benefited from financing from the Research Project ECO2014-56580-R of the Spanish Ministry of Economy and Competitively, the Research Projects P12-SEJ-1810; P12-ASEJ-1618 from the Andalusian Government (Spain) and PR2016-018 (Research Projects University of Cadiz).
Author information
Authors and Affiliations
Corresponding author
Appendix: Questionnaire of social capital
Appendix: Questionnaire of social capital
The aim of our research is to build a scale for measuring social capital. We request that you give us your opinion on a series of questions related to your activity as a researcher belonged to a research team. It will take no more than 5 min. All the data you provide us will be treated in an aggregated and anonymous way, with strictly academic objectives, so your answers will be completely confidential.
Rights and permissions
About this article
Cite this article
Martín-Alcázar, F., Ruiz-Martínez, M. & Sánchez-Gardey, G. Assessing social capital in academic research teams: a measurement instrument proposal. Scientometrics 121, 917–935 (2019). https://doi.org/10.1007/s11192-019-03212-x
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11192-019-03212-x