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The Agora model of innovation systems: S&T indicators for a democratic knowledge society

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  • Rémi Barr

Abstract

‘Mode 2’ research and the precautionary principle change innovation systems from the classical to the Agora model. In this model the actors in industrial innovation public research and sociopolitical subsystems tend to mix together, and the first phase of the knowledge production processes (exploration, hypothesis and controversies) becomes hybrid. The ‘Agora processes’ — foresight, technology assessment, socioeconomic impact evaluation and benchmarking, which ensure the proper interactions between industry, academia, government and social actors — thus become major aspects of the functioning of the innovation systems and a component of a democratic knowledge society. S&T indicators, as expertise input into the Agora processes, cannot make claims for truth, but have the unique capability of generating significant debates through the criticism they stir, which can make them socially robust. Copyright , Beech Tree Publishing.

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  • Rémi Barr, 2001. "The Agora model of innovation systems: S&T indicators for a democratic knowledge society," Research Evaluation, Oxford University Press, vol. 10(1), pages 13-18, April.
    • Handle: RePEc:oup:rseval:v:10:y:2001:i:1:p:13-18
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    File URL: http://hdl.handle.net/10.3152/147154401781777150
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    As found on the RePEc Biblio, the curated bibliography for Economics:
    1. > Economic Development Technological Change, and Growth > Technological Change: Choices and Consequences > Technology Assessment > Indicators for Technology Assessment

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    Cited by:

    1. Steffen Roth & Augusto Sales & Jari Kaivo-oja, 2017. "Multiplying the Division of Labour: Functional Differentiation of the Next Key Variables in Management Research," Systems Research and Behavioral Science, Wiley Blackwell, vol. 34(2), pages 195-207, March.
    2. Michel Zitt & Suzy Ramanana-Rahary & Elise Bassecoulard, 2003. "Correcting glasses help fair comparisons in international science landscape: Country indicators as a function of ISI database delineation," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(2), pages 259-282, February.

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