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From outcomes to process: evidence for a new approach to research impact assessment

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  • Stevie Upton
  • Paul Vallance
  • John Goddard

Abstract

This article reports evidence from two studies conducted in nine British universities into individual academic and institutional perspectives on research impact. We analyse our findings in the context of global developments in performance measurement. Mechanisms for assessing the quality of research and associated knowledge exchange serve a dual purpose: used retrospectively, they enable public funding agencies to hold universities to account for the monies they have received and, looking forward, they allow those same agencies to incentivize desired activities or outcomes. Whilst existing mechanisms offer seemingly attractive, albeit contested, ways of pursuing the former, we particularly question their effectiveness in achieving the latter goal. We observe among our respondents a wide variety of intended impacts and mechanisms for pursuing them, and argue that this renders any monitoring and reward system based on achieved outcomes prone to complexity and lack of comprehensiveness. By contrast, a high level of consistency in motivations—across institutions and disciplines—points to a focus on the process of knowledge exchange as a far more effective driver. We identify a key role for university managers in fostering academic engagement in knowledge exchange. Ultimately, however, we conclude that effective incentivization is likely to depend on the replacement of impact-based evaluations with a new, process-based approach.

Suggested Citation

  • Stevie Upton & Paul Vallance & John Goddard, 2014. "From outcomes to process: evidence for a new approach to research impact assessment," Research Evaluation, Oxford University Press, vol. 23(4), pages 352-365.
  • Handle: RePEc:oup:rseval:v:23:y:2014:i:4:p:352-365.
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    File URL: http://hdl.handle.net/10.1093/reseval/rvu021
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    Citations

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    Cited by:

    1. Christina Boswell & Katherine Smith, 2017. "Rethinking policy ‘impact’: four models of research-policy relations," Palgrave Communications, Palgrave Macmillan, vol. 3(1), pages 1-10, December.
    2. Peter Weißhuhn & Katharina Helming & Johanna Ferretti, 2018. "Research impact assessment in agriculture—A review of approaches and impact areas," Research Evaluation, Oxford University Press, vol. 27(1), pages 36-42.
    3. Perkmann, Markus & Salandra, Rossella & Tartari, Valentina & McKelvey, Maureen & Hughes, Alan, 2021. "Academic engagement: A review of the literature 2011-2019," Research Policy, Elsevier, vol. 50(1).
    4. Lai Ma & Rachael Agnew, 2022. "Deconstructing impact: A framework for impact evaluation in grant applications [Evidencing Impact from Art Research: Analysis of Impact Case Studies from the REF 2014]," Science and Public Policy, Oxford University Press, vol. 49(2), pages 289-301.
    5. Melinda Craike & Bojana Klepac & Amy Mowle & Therese Riley, 2023. "Theory of systems change: An initial, middle-range theory of public health research impact," Research Evaluation, Oxford University Press, vol. 32(3), pages 603-621.
    6. J. Chubb & G. E. Derrick, 2020. "The impact a-gender: gendered orientations towards research Impact and its evaluation," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-11, December.
    7. Martin Ricker, 2015. "A numerical algorithm with preference statements to evaluate the performance of scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 191-212, April.
    8. J. Stier & S. E. Smit, 2021. "Co-creation as an innovative setting to improve the uptake of scientific knowledge: overcoming obstacles, understanding considerations and applying enablers to improve scientific impact in society," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-14, December.
    9. Hannah Durrant & Eleanor MacKillop, 2022. "University policy engagement bodies in the UK and the variable meanings of and approaches to impact," Research Evaluation, Oxford University Press, vol. 31(3), pages 372-384.

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