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Incentivizing research collaboration using performance-based reward systems

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  • Do Han Kim
  • Hee-Je Bak

Abstract

Despite a growing interest in research collaboration, few studies have examined the influences of policy measures on collaboration practices and on the scientific outcome of the research. By analyzing individual-level panel data of researchers in humanities and social sciences in a Korean university, the present study shows that adopting a partial discount system for the number of coauthors, which has been designed in such a way as to reward coauthored publications, could redirect researchers’ attention away from working alone to collaborating with others, as proposed by advocates of team-based incentives in principal–agent theory. In addition, the present study shows that, although collaboration was positively correlated with the impact factors of the journal and the total number of publications, the fractional count of publications, which divides the number of publications by the number of authors, showed a negative relationship with participation in collaboration.

Suggested Citation

  • Do Han Kim & Hee-Je Bak, 2017. "Incentivizing research collaboration using performance-based reward systems," Science and Public Policy, Oxford University Press, vol. 44(2), pages 186-198.
    • Handle: RePEc:oup:scippl:v:44:y:2017:i:2:p:186-198.
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    File URL: http://hdl.handle.net/10.1093/scipol/scw050
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    References listed on IDEAS

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    1. Chung, Kee H. & Cox, Raymond A.K. & Kim, Kenneth A., 2009. "On the relation between intellectual collaboration and intellectual output: Evidence from the finance academe," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 893-916, August.
    2. Liebowitz, S J & Palmer, J P, 1984. "Assessing the Relative Impacts of Economic Journals," Journal of Economic Literature, American Economic Association, vol. 22(1), pages 77-88, March.
    3. Butler, Linda, 2003. "Explaining Australia's increased share of ISI publications--the effects of a funding formula based on publication counts," Research Policy, Elsevier, vol. 32(1), pages 143-155, January.
    4. McDowell, John M & Melvin, Michael, 1983. "The Determinants of Co-Authorship: An Analysis of the Economics Literature," The Review of Economics and Statistics, MIT Press, vol. 65(1), pages 155-160, February.
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    Cited by:

    1. Marjan Cugmas & Franc Mali & Aleš Žiberna, 2020. "Scientific collaboration of researchers and organizations: a two-level blockmodeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2471-2489, December.
    2. Hugo Horta & Shihui Feng & João M. Santos, 2022. "Homophily in higher education research: a perspective based on co-authorships," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 523-543, January.

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