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A theory-based innovation systems framework for evaluating diverse portfolios of research, part two: Macro indicators and policy interventions

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  • Jerald Hage
  • Gretchen Jordan
  • Jonathan Mote

Abstract

This framework for multi-level evaluation of scientific research is a bridge between social science theory and the provision of effective feedbacks to governments so they can overcome systemic blockages to innovation and successful outcomes of research policy. Starting with the idea of innovation network theory and organizational theory involved in the research environment survey, a small set of indicators is suggested at micro, meso, and macro levels. Data from this integrated set of indicators can identify the blockages and suggest corrections. This paper concentrates on the macro-level indicators. Three familiar kinds of government policy lever — capital, capabilities, and coordination modes — are discussed. However, the discussion of ways in which these interventions can correct blockages is far more complex than has previously been acknowledged in the evaluation literature. The proposed framework is an important step for evaluators and policy-makers to develop research, technology and development investment portfolios and strategies more effectively. Copyright , Beech Tree Publishing.

Suggested Citation

  • Jerald Hage & Gretchen Jordan & Jonathan Mote, 2007. "A theory-based innovation systems framework for evaluating diverse portfolios of research, part two: Macro indicators and policy interventions," Science and Public Policy, Oxford University Press, vol. 34(10), pages 731-741, December.
    • Handle: RePEc:oup:scippl:v:34:y:2007:i:10:p:731-741
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    File URL: http://hdl.handle.net/10.3152/030234207X265385
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    Cited by:

    1. Borrás, Susana & Laatsit, Mart, 2019. "Towards system oriented innovation policy evaluation? Evidence from EU28 member states," Research Policy, Elsevier, vol. 48(1), pages 312-321.
    2. Hyungjo Hur & Maryam A Andalib & Julie A Maurer & Joshua D Hawley & Navid Ghaffarzadegan, 2017. "Recent trends in the U.S. Behavioral and Social Sciences Research (BSSR) workforce," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-18, February.
    3. Junwen Luo & Gonzalo Ordóñez-Matamoros & Stefan Kuhlmann, 2019. "The balancing role of evaluation mechanisms in organizational governance—The case of publicly funded research institutions," Research Evaluation, Oxford University Press, vol. 28(4), pages 344-354.

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