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Co-authorship networks and research impact: A social capital perspective

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  • Li, Eldon Y.
  • Liao, Chien Hsiang
  • Yen, Hsiuju Rebecca

Abstract

The impact of research work is related to a scholar's reputation and future promotions. Greater research impact not only inspires scholars to continue their research, but also increases the possibility of a larger research budget from sponsors. Given the importance of research impact, this study proposes that utilizing social capital embedded in a social structure is an effective way to achieve more research impact. The contribution of this study is to define six indicators of social capital (degree centrality, closeness centrality, betweenness centrality, prolific co-author count, team exploration, and publishing tenure) and investigate how these indicators interact and affect citations for publications. A total of 137 Information Systems scholars from the Social Science Citation Index database were selected to test the hypothesized relationships. The results show that betweenness centrality plays the most important role in taking advantage of non-redundant resources in a co-authorship network, thereby significantly affecting citations for publications. In addition, we found that prolific co-author count, team exploration, and publishing tenure all have indirect effects on citation count. Specifically, co-authoring with prolific scholars helps researchers develop centralities and, in turn, generate higher numbers of citations. Researchers with longer publishing tenure tend to have higher degree centrality. When they collaborate more with different scholars, they achieve more closeness and betweenness centralities, but risk being distrusted by prolific scholars and losing chances to co-author with them. Finally, implications of findings and recommendations for future research are discussed.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:respol:v:42:y:2013:i:9:p:1515-1530
    DOI: 10.1016/j.respol.2013.06.012
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    1. Pauline Mattsson & Patrice Laget & Anna Nilsson & Carl-Johan Sundberg, 2008. "Intra-EU vs. extra-EU scientific co-publication patterns in EU," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 555-574, June.
    2. Ali Gazni & Fereshteh Didegah, 2011. "Investigating different types of research collaboration and citation impact: a case study of Harvard University’s publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 251-265, May.
    3. Brown, Ld & Gardner, Jc, 1985. "Using Citation Analysis To Assess The Impact Of Journals And Articles On Contemporary Accounting Research (Car)," Journal of Accounting Research, Wiley Blackwell, vol. 23(1), pages 84-109.
    4. Gilsing, Victor & Nooteboom, Bart & Vanhaverbeke, Wim & Duysters, Geert & van den Oord, Ad, 2008. "Network embeddedness and the exploration of novel technologies: Technological distance, betweenness centrality and density," Research Policy, Elsevier, vol. 37(10), pages 1717-1731, December.
    5. Anton J. Nederhof, 2006. "Bibliometric monitoring of research performance in the Social Sciences and the Humanities: A Review," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(1), pages 81-100, January.
    6. Chien Hsiang Liao, 2011. "How to improve research quality? Examining the impacts of collaboration intensity and member diversity in collaboration networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 747-761, March.
    7. 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.
    8. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Solazzi, Marco, 2011. "Are researchers that collaborate more at the international level top performers? An investigation on the Italian university system," Journal of Informetrics, Elsevier, vol. 5(1), pages 204-213.
    9. 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.
    10. Haiyang Lu & Yuqiang Feng, 2009. "A measure of authors’ centrality in co-authorship networks based on the distribution of collaborative relationships," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 499-511, November.
    11. Rob Kling & Geoffrey McKim, 2000. "Not just a matter of time: Field differences and the shaping of electronic media in supporting scientific communication," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(14), pages 1306-1320.
    12. Walter, Jorge & Lechner, Christoph & Kellermanns, Franz W., 2007. "Knowledge transfer between and within alliance partners: Private versus collective benefits of social capital," Journal of Business Research, Elsevier, vol. 60(7), pages 698-710, July.
    13. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    14. Anthony F. J. Raan, 2006. "Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147 chemistry research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 491-502, June.
    15. Rinia, E. J. & van Leeuwen, Th. N. & van Vuren, H. G. & van Raan, A. F. J., 2001. "Influence of interdisciplinarity on peer-review and bibliometric evaluations in physics research," Research Policy, Elsevier, vol. 30(3), pages 357-361, March.
    16. Claes Fornell & Peter Lorange & Johan Roos, 1990. "The Cooperative Venture Formation Process: A Latent Variable Structural Modeling Approach," Management Science, INFORMS, vol. 36(10), pages 1246-1255, October.
    17. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    18. Bammer, Gabriele, 2008. "Enhancing research collaborations: Three key management challenges," Research Policy, Elsevier, vol. 37(5), pages 875-887, June.
    19. Haiyan Hou & Hildrun Kretschmer & Zeyuan Liu, 2008. "The structure of scientific collaboration networks in Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 189-202, May.
    20. Marta A. Geletkanycz & Brian K. Boyd & Sydney Finkelstein, 2001. "The strategic value of CEO external directorate networks: implications for CEO compensation," Strategic Management Journal, Wiley Blackwell, vol. 22(9), pages 889-898, September.
    21. Gu, Zhaoyang & Wu, Joanna Shuang, 2003. "Earnings skewness and analyst forecast bias," Journal of Accounting and Economics, Elsevier, vol. 35(1), pages 5-29, April.
    22. 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.
    23. Ding, Ying, 2011. "Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks," Journal of Informetrics, Elsevier, vol. 5(1), pages 187-203.
    24. He, Bing & Ding, Ying & Yan, Erjia, 2012. "Mining patterns of author orders in scientific publications," Journal of Informetrics, Elsevier, vol. 6(3), pages 359-367.
    25. Erjia Yan & Ying Ding, 2009. "Applying centrality measures to impact analysis: A coauthorship network analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(10), pages 2107-2118, October.
    26. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    27. K.C. Garg & P. Padhi, 2001. "A study of collaboration in laser science and technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(2), pages 415-427, June.
    28. Loet Leydesdorff, 2007. "Betweenness centrality as an indicator of the interdisciplinarity of scientific journals," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(9), pages 1303-1319, July.
    29. Bing He & Ying Ding & Chaoqun Ni, 2011. "Mining enriched contextual information of scientific collaboration: A meso perspective," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(5), pages 831-845, May.
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