IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v112y2017i2d10.1007_s11192-017-2412-0.html
   My bibliography  Save this article

Contradicting incentives for research collaboration

Author

Listed:
  • Charlotte Wien

    (Syddansk Universitet)

  • Bertil F. Dorch

    (Syddansk Universitet)

  • Asger Væring Larsen

    (Syddansk Universitet)

Abstract

This study describes the Danish publication award system (BFI), investigates whether its built-in incentives have had an effect on publication behavior at the University of Southern Denmark, and discusses the possible future implications on researcher incentives should universities wish to measure BFI on the individual level. We analyzed publication data from the university CRIS system (Pure) and from SciVal. Several studies indicate that co-authored scholarly journal articles attract more citations than single author articles. The reason for this are not clear, however, research collaboration across institutions and countries is commonly accepted in the research community and among university managements as one way of increasing the researcher’s and institution’s reputation and impact. The BFI system is designed to award scholarly publication activity at Danish universities, especially publication in international journals of high status. However, we find that the built-in incentives leave the researcher and his or her institution with a dilemma: If the researchers optimize their performance by forming author groups with external collaborators, the optimal way of doing so for the researchers is not the optimal way seen from the perspective of the university. Our analysis shows that the typical article has 6.5 authors, two of which are internal, and that this has remained stable since the introduction of the BFI. However, there is variation across the disciplines. While ‘the Arts and Humanities’ and ‘the Social Sciences’ seem to compose author groups in a way which does not optimize the performance of the institution, both ‘Health’ and ‘the Natural Sciences’ seem to optimize according to criteria other than those specified in the BFI.

Suggested Citation

  • Charlotte Wien & Bertil F. Dorch & Asger Væring Larsen, 2017. "Contradicting incentives for research collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 903-915, August.
  • Handle: RePEc:spr:scient:v:112:y:2017:i:2:d:10.1007_s11192-017-2412-0
    DOI: 10.1007/s11192-017-2412-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-017-2412-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-017-2412-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sei‐Ching Joanna Sin, 2011. "International coauthorship and citation impact: A bibliometric study of six LIS journals, 1980–2008," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(9), pages 1770-1783, September.
    2. Vladimir Pislyakov & Elena Shukshina, 2014. "Measuring excellence in Russia: Highly cited papers, leading institutions, patterns of national and international collaboration," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(11), pages 2321-2330, November.
    3. 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.
    4. Fredrik Niclas Piro & Dag W. Aksnes & Kristoffer Rørstad, 2013. "A macro analysis of productivity differences across fields: Challenges in the measurement of scientific publishing," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 307-320, February.
    5. Christoph Bartneck & Jun Hu, 2010. "The fruits of collaboration in a multidisciplinary field," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 41-52, October.
    6. Sei-Ching Joanna Sin, 2011. "International coauthorship and citation impact: A bibliometric study of six LIS journals, 1980–2008," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(9), pages 1770-1783, September.
    7. Kjetil K. Haugen & Frode E. Sandnes, 2016. "The new Norwegian incentive system for publication: from bad to worse," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1299-1306, November.
    8. Fredrik Niclas Piro & Dag W. Aksnes & Kristoffer Rørstad, 2013. "A macro analysis of productivity differences across fields: Challenges in the measurement of scientific publishing," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(2), pages 307-320, February.
    9. Dag W Aksnes, 2003. "Characteristics of highly cited papers," Research Evaluation, Oxford University Press, vol. 12(3), pages 159-170, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Daniella Bayle Deutz & Thea Marie Drachen & Dorte Drongstrup & Niels Opstrup & Charlotte Wien, 2021. "Quantitative quality: a study on how performance-based measures may change the publication patterns of Danish researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3303-3320, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tian Yu & Guang Yu & Peng-Yu Li & Liang Wang, 2014. "Citation impact prediction for scientific papers using stepwise regression analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1233-1252, November.
    2. Mingyang Wang & Zhenyu Wang & Guangsheng Chen, 2019. "Which can better predict the future success of articles? Bibliometric indices or alternative metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1575-1595, June.
    3. Maksym Polyakov & Serhiy Polyakov & Md Sayed Iftekhar, 2017. "Does academic collaboration equally benefit impact of research across topics? The case of agricultural, resource, environmental and ecological economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1385-1405, December.
    4. Iman Tahamtan & Askar Safipour Afshar & Khadijeh Ahamdzadeh, 2016. "Factors affecting number of citations: a comprehensive review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1195-1225, June.
    5. Thelwall, Mike & Wilson, Paul, 2014. "Regression for citation data: An evaluation of different methods," Journal of Informetrics, Elsevier, vol. 8(4), pages 963-971.
    6. Liu, Qiuling & Guo, Lei & Sun, Yiping & Ren, Linlin & Wang, Xinhua & Han, Xiaohui, 2024. "Do scholars' collaborative tendencies impact the quality of their publications? A generalized propensity score matching analysis," Journal of Informetrics, Elsevier, vol. 18(1).
    7. Hongquan Shen & Juan Xie & Jiang Li & Ying Cheng, 2021. "The correlation between scientific collaboration and citation count at the paper level: a meta-analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3443-3470, April.
    8. Cristina Arhiliuc & Raf Guns, 2023. "Disciplinary collaboration rates in the social sciences and humanities: what is the influence of classification type?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3419-3436, June.
    9. Rabishankar Giri & Sabuj Kumar Chaudhuri, 2021. "Ranking journals through the lens of active visibility," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2189-2208, March.
    10. Gad Yair & Keith Goldstein & Nir Rotem & Anthony J. Olejniczak, 2022. "The three cultures in American science: publication productivity in physics, history and economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 2967-2980, June.
    11. Hyeonchae Yang & Woo-Sung Jung, 2015. "A strategic management approach for Korean public research institutes based on bibliometric investigation," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1437-1464, July.
    12. Tamara Krajna & Jelka Petrak, 2019. "Croatian Highly Cited Papers," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 17(3-B), pages 684-696.
    13. Abramo, Giovanni & Aksnes, Dag W. & D’Angelo, Ciriaco Andrea, 2020. "Comparison of research performance of Italian and Norwegian professors and universities," Journal of Informetrics, Elsevier, vol. 14(2).
    14. Sven Helmer & David B. Blumenthal & Kathrin Paschen, 2020. "What is meaningful research and how should we measure it?," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 153-169, October.
    15. Elizabeth S. Vieira & Jorge Cerdeira, 2022. "The integration of African countries in international research networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1995-2021, April.
    16. Marek Kwiek, 2018. "High research productivity in vertically undifferentiated higher education systems: Who are the top performers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 415-462, April.
    17. A. Velez-Estevez & P. García-Sánchez & J. A. Moral-Munoz & M. J. Cobo, 2022. "Why do papers from international collaborations get more citations? A bibliometric analysis of Library and Information Science papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7517-7555, December.
    18. Chakresh Kumar Singh & Demival Vasques Filho & Shivakumar Jolad & Dion R. J. O’Neale, 2020. "Evolution of interdependent co-authorship and citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 385-404, October.
    19. Frode Eika Sandnes, 2021. "A bibliometric study of human–computer interaction research activity in the Nordic-Baltic Eight countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4733-4767, June.
    20. Dongqing Lyu & Kaile Gong & Xuanmin Ruan & Ying Cheng & Jiang Li, 2021. "Does research collaboration influence the “disruption” of articles? Evidence from neurosciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 287-303, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:112:y:2017:i:2:d:10.1007_s11192-017-2412-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.