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Impact of Funding on Scientific Output and Collaboration: A Survey of Literature

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  • Ashkan Ebadi

    (Concordia Institute for Information Systems Engineering (CIISE), Concordia University, 1515 Ste-Catherine St. West, Montreal, Quebec, Canada H3G 2W1, Canada)

  • Andrea Schiffauerova

    (Concordia Institute for Information Systems Engineering (CIISE), Concordia University, 1515 Ste-Catherine St. West, Montreal, Quebec, Canada H3G 2W1, Canada)

Abstract

This document critically reviews the papers that investigated the impact of funding on scientific output and on scientific collaboration. For the output, the focus is on the number of articles as a measure of the scientific productivity and the number of citations that a paper received as an indicator of the quality. Various methodological approaches have been adopted (e.g. bibliometrics (a set of methods to analyse the scientific literature quantitatively), statistical analysis) for this purpose. Reviewing the literature revealed that although the general assumption of the positive effect of funding on scientific development is completely (or partially) acknowledged in some studies, one can also find some contradictory results. In addition, we note that analysing the impact of funding on scientific output has attracted more attention of the researchers while investigating the impact of funding on collaboration has been only recently taken into consideration. The paper concludes by comparing the major results and methodologies of the reviewed studies while highlighting the research gaps.

Suggested Citation

  • Ashkan Ebadi & Andrea Schiffauerova, 2013. "Impact of Funding on Scientific Output and Collaboration: A Survey of Literature," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 12(04), pages 1-16.
    • Handle: RePEc:wsi:jikmxx:v:12:y:2013:i:04:n:s0219649213500378
    DOI: 10.1142/S0219649213500378
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    References listed on IDEAS

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    1. Salter, Ammon J. & Martin, Ben R., 2001. "The economic benefits of publicly funded basic research: a critical review," Research Policy, Elsevier, vol. 30(3), pages 509-532, March.
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    4. Yoshiko Okubo, 1997. "Bibliometric Indicators and Analysis of Research Systems: Methods and Examples," OECD Science, Technology and Industry Working Papers 1997/1, OECD Publishing.
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    Citations

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    Cited by:

    1. Uwe Cantner & Martin Kalthaus & Matthias Menter & Pierre Mohnen, 2023. "Global knowledge flows: characteristics, determinants, and impacts," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(5), pages 1063-1076.
    2. Holger Graf & Martin Kalthaus, 2022. "Global Knowledge Embeddedness," Jena Economics Research Papers 2022-004, Friedrich-Schiller-University Jena.
    3. Alona Zharova & Wolfgang K. Härdle & Stefan Lessmann, 2017. "Is Scientific Performance a Function of Funds?," SFB 649 Discussion Papers SFB649DP2017-028, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    4. Bárbara S. Lancho-Barrantes & Francisco J. Cantú-Ortiz, 2019. "Science in Mexico: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 499-517, February.
    5. Graf, Holger & Kalthaus, Martin, 2018. "International research networks: Determinants of country embeddedness," Research Policy, Elsevier, vol. 47(7), pages 1198-1214.
    6. Ashkan Ebadi & Andrea Schiffauerova, 2016. "iSEER: an intelligent automatic computer system for scientific evaluation of researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 477-498, May.
    7. Barbara S. Lancho-Barrantes & Hector G. Ceballos-Cancino & Francisco J. Cantu-Ortiz, 2021. "Comparing the efficiency of countries to assimilate and apply research investment," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(4), pages 1347-1369, August.
    8. Ashkan Ebadi & Andrea Schiffauerova, 2016. "How to boost scientific production? A statistical analysis of research funding and other influencing factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1093-1116, March.
    9. Davies, Benjamin & Gush, Jason & Hendy, Shaun C. & Jaffe, Adam B., 2022. "Research funding and collaboration," Research Policy, Elsevier, vol. 51(2).
    10. Ebadi, Ashkan & Schiffauerova, Andrea, 2015. "How to become an important player in scientific collaboration networks?," Journal of Informetrics, Elsevier, vol. 9(4), pages 809-825.
    11. Samuel-Soma M. Ajibade & Muhammed Basheer Jasser & David Olayemi Alebiosu & Ismail Ahmed Al- Qasem Al-Hadi & Ghassan Saleh Al-Dharhani & Farrukh Hassan & Bright Akwasi Gyamfi, 2024. "Uncovering the Dynamics in the Application of Machine learning in Computational Finance: A Bibliometric and Social Network Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 14(4), pages 299-315, July.
    12. Zharova, Alona & Härdle, Wolfgang Karl & Lessmann, Stefan, 2017. "Is scientific performance a function of funds?," SFB 649 Discussion Papers 2017-028, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    13. Fernanda Morillo, 2019. "Collaboration and impact of research in different disciplines with international funding (from the EU and other foreign sources)," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 807-823, August.

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