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The ‘Payback Framework’ explained

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  • Claire Donovan
  • Stephen Hanney

Abstract

The Payback Framework, originally developed to examine the ‘impact’ or ‘payback’ of health services research, is explained. The Payback Framework is a research tool used to facilitate data collection and cross-case analysis by providing a common structure and so ensuring cognate information is recorded. It consists of a logic model representation of the complete research process, and a series of categories to classify the individual paybacks from research. Its multi-dimensional categorisation of benefits from research starts with more traditional academic benefits of knowledge production and research capacity-building, and then extends to wider benefits to society. Copyright , Beech Tree Publishing.

Suggested Citation

  • Claire Donovan & Stephen Hanney, 2011. "The ‘Payback Framework’ explained," Research Evaluation, Oxford University Press, vol. 20(3), pages 181-183, September.
    • Handle: RePEc:oup:rseval:v:20:y:2011:i:3:p:181-183
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    File URL: http://hdl.handle.net/10.3152/095820211X13118583635756
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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. Lutz Bornmann, 2013. "What is societal impact of research and how can it be assessed? a literature survey," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(2), pages 217-233, February.
    3. Gaunand, A. & Hocdé, A. & Lemarié, S. & Matt, M. & Turckheim, E.de, 2015. "How does public agricultural research impact society? A characterization of various patterns," Research Policy, Elsevier, vol. 44(4), pages 849-861.
    4. Eileen Piggot-Irvine & Deborah Zornes, 2016. "Developing a Framework for Research Evaluation in Complex Contexts Such as Action Research," SAGE Open, , vol. 6(3), pages 21582440166, August.
    5. Joly, P.B. & Gaunand, A. & Colinet, L. & Larédo, P. & Lemarié, S. & Matt, M., 2015. "ASIRPA: a comprehensive theory-based approach to assessing the societal impacts of a research organization," Working Papers 2015-04, Grenoble Applied Economics Laboratory (GAEL).
    6. Dag W. Aksnes & Liv Langfeldt & Paul Wouters, 2019. "Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories," SAGE Open, , vol. 9(1), pages 21582440198, February.
    7. Guesmi, B. & Gil, J.M., 2018. "Monitoring and Evaluation of Public Agricultural Research Organization: Impact oriented monitoring approach," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277554, International Association of Agricultural Economists.
    8. Matt, M. & Colinet, L. & Gaunand, A. & Joly, P.B., 2015. "A typology of impact pathways generated by a public agricultural research organization," Working Papers 2015-03, Grenoble Applied Economics Laboratory (GAEL).

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