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Research utilisation Models and some empirical data Johann Mouton, CREST 14 September 2009
Knowledge production, dissemination, uptake and impact The research process New knowledge Research (based) Outputs/ results Knowledge applications/ technologies CODIFIED New facts/ theories/ models Policies/ legislation/practices Technologies Tests/ scenario’s/ systems Scientific community EMBODIED Students Society Industry Government Impact Uptake Production Dissemination
Models of research utilisation Science push model The production of scientific knowledge Appropriate dissemination strategies Science push model of research utilisation The  supply of advances in research (findings)  is the major determinant of knowledge utilisation. The researchers are the sources for ideas for directing research and the users are (simply) receptacles for the research results. This means that utilisation follows a linear sequence from the supply of research advances to utilisation by decision-makers and practitioners. Within this framework, the more detailed discussions in the literature focus on which of the dimensions of the production of science could lead to more or less effective utilisation. Dimensions that have been studied over the years include content attributes (the quality and credibility of the research produced); types of research (basic/applied) and differences between research domains and disciplines. Utilisation of knowledge
Models of research utilisation User-driven model The basic premise of this model can be formulated as follows:  The users of research are regarded as the major sources of ideas for directing research . This approach generates a “customer-contractor” relationship where the practitioners and decision-makers behave like “customers” who define what research they want, and where the researchers behave like “contractors” who execute contracts in exchange of payments. It should be pointed out that this is still essentially a linear sequential model, which, in this case starts with the identification of the research problem by the customers or potential users. Within the user driven model, knowledge utilisation is best explained (only) by the needs of the users. It is argued that the use of knowledge is increased when researchers focus their projects on the needs of users instead of focussing them only or primarily on the advancement of scholarly knowledge.  The production of scientific knowledge Organisational interests User needs Utilisation of knowledge
Models of knowledge utilisation The network model ,[object Object]
Bozeman’s technology transfer model
The Bozeman network-model
Summary on models ,[object Object],[object Object],[object Object],[object Object]
Factors correlated with effective utilisation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Improved utilisation
SOME EMPIRICAL FINDINGS
SA Survey Respondents and Research Projects by Sector of Research Performance    
Research utilisation by sector  (57% across all sectors)
Communication of Research Results (%)   % calculated out of a total of 1803 projects
Academic modes of dissemination
User-driven modes of dissemination
“ Network” modes of dissemination
Dissemination modes and reported utilisation of research 1 = Above average on all three modes of dissemination 2 = Above average on academic-driven and user-driven only 3 = Above average on academic-driven and network-driven only 4 = Above average on user-driven and network-driven only 5 = Above average on academic-driven only 6 = Above average on user-driven only 7 = Above average on network-driven only 8 = Below average on all three modes of dissemination
Concluding comments ,[object Object],[object Object],[object Object],[object Object],[object Object]
The End

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Mouton Dfid Presentaion 14 September2009

  • 1. Research utilisation Models and some empirical data Johann Mouton, CREST 14 September 2009
  • 2. Knowledge production, dissemination, uptake and impact The research process New knowledge Research (based) Outputs/ results Knowledge applications/ technologies CODIFIED New facts/ theories/ models Policies/ legislation/practices Technologies Tests/ scenario’s/ systems Scientific community EMBODIED Students Society Industry Government Impact Uptake Production Dissemination
  • 3. Models of research utilisation Science push model The production of scientific knowledge Appropriate dissemination strategies Science push model of research utilisation The supply of advances in research (findings) is the major determinant of knowledge utilisation. The researchers are the sources for ideas for directing research and the users are (simply) receptacles for the research results. This means that utilisation follows a linear sequence from the supply of research advances to utilisation by decision-makers and practitioners. Within this framework, the more detailed discussions in the literature focus on which of the dimensions of the production of science could lead to more or less effective utilisation. Dimensions that have been studied over the years include content attributes (the quality and credibility of the research produced); types of research (basic/applied) and differences between research domains and disciplines. Utilisation of knowledge
  • 4. Models of research utilisation User-driven model The basic premise of this model can be formulated as follows: The users of research are regarded as the major sources of ideas for directing research . This approach generates a “customer-contractor” relationship where the practitioners and decision-makers behave like “customers” who define what research they want, and where the researchers behave like “contractors” who execute contracts in exchange of payments. It should be pointed out that this is still essentially a linear sequential model, which, in this case starts with the identification of the research problem by the customers or potential users. Within the user driven model, knowledge utilisation is best explained (only) by the needs of the users. It is argued that the use of knowledge is increased when researchers focus their projects on the needs of users instead of focussing them only or primarily on the advancement of scholarly knowledge. The production of scientific knowledge Organisational interests User needs Utilisation of knowledge
  • 5.
  • 8.
  • 9.
  • 11. SA Survey Respondents and Research Projects by Sector of Research Performance    
  • 12. Research utilisation by sector (57% across all sectors)
  • 13. Communication of Research Results (%)   % calculated out of a total of 1803 projects
  • 14. Academic modes of dissemination
  • 15. User-driven modes of dissemination
  • 16. “ Network” modes of dissemination
  • 17. Dissemination modes and reported utilisation of research 1 = Above average on all three modes of dissemination 2 = Above average on academic-driven and user-driven only 3 = Above average on academic-driven and network-driven only 4 = Above average on user-driven and network-driven only 5 = Above average on academic-driven only 6 = Above average on user-driven only 7 = Above average on network-driven only 8 = Below average on all three modes of dissemination
  • 18.

Editor's Notes

  1. Guide has been designed to serve as a resource by all those who conduct research and for those who manage and monitor research in HEIs It is intended to inform institutional self-assessments, by providing common reference points against which HEIs can review the strengths and weaknesses of their capacity to undertake and quality assure research activities and outputs and to inform their plans for improvement. The Guide should be interpreted flexibly and sensitively, with due regard for the institutional mission and the context in which a particular institution operates. Finally, the Guide considers only mechanisms for research quality assurance at the institutional level and does not consider research management in general.