Technological platforms in the life sciences. Public policies, organizations and performance

Catherine Paradeise (catherine.paradeise@univ-mlv.fr), Ashveen Peerbaye (ashveen.peerbaye@u-pem.fr), Franck Aggeri (franck.aggeri@mines-paristech.fr), Anne Branciard (anne.branciard@univmed.fr) and Pascal Le Masson (pascal.le_masson@mines-paristech.fr)
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Catherine Paradeise: Technique Innovation et Organisation (TIO) - LATTS - Laboratoire Techniques, Territoires et Sociétés - UPEM - Université Paris-Est Marne-la-Vallée - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique
Ashveen Peerbaye: Technique Innovation et Organisation (TIO) - LATTS - Laboratoire Techniques, Territoires et Sociétés - UPEM - Université Paris-Est Marne-la-Vallée - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique
Franck Aggeri: CGS i3 - Centre de Gestion Scientifique i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique
Pascal Le Masson: CGS i3 - Centre de Gestion Scientifique i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique

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Abstract: The collective management of technological platforms is one of the key-issue of life sciences policy in France. Technological platforms have been given two missions by public policies: contributing to knowledge production and realize technological transfer to the industry. The historical and empirical analysis of six different platforms reveals heterogeneous operations and performances, including a rapid obsolescence of equipments for some of them. How to explain this empirical heterogeneity? Why performances and operations are far behind initial expectations? To answer these questions, we have assumed that research and innovation dynamics are due, not so much to the economic properties of research, to the goods exchanged on platforms or to public incentives, rather than to largely unknown organizational and governance mechanisms. Based on the characterization of three models of organization and governance of platforms, we stress two key factors for success: the development of engineering capabilities within platforms enabling to absorb rapidly changing technologies; the building of new multi-level governance rules to address the co-evolution of platform activities and research programs.

Keywords: Instrumentation; Organization; Research Governance; Science Policy (search for similar items in EconPapers)
Date: 2010
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Published in European Review of Industrial Economics and Policy, 2010, 1, 18 p

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00583850

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