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How composite indicators of innovation can influence technology policy decision?

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  • Nuno Boavida

    ()
    (IET, Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia)

Abstract

This working paper is based on the development of the Thesis Plan presented for the Units Project II and Project III at the 1st Winter School of PhD programme on Technology Assessment at FCT/UNL. It focuses the methodology analysis and includes empirical information elements, in order to understand how composite indicators of innovation can influence technology policy decisions. In order to test the hypotheses raised in the Thesis Plan, two separate phases were designed. On the first part, the work tests hypotheses 1 and partially 2, identifying the quality, depth and limitations of three famous complex indicator-based systems, namely the Science, Technology and Industry Scoreboard, the European Innovation Scoreboard 2008 and Innovation Union Scoreboard 2010. On the second phase, the remaining hypotheses are tested adding media databases analysis, which will provide complementary information to a set of interviews to policy makers, in order to understand the role of the composite indicators on technology decisions.

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File URL: http://run.unl.pt/handle/10362/6142
File Function: First version, 2011
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Bibliographic Info

Paper provided by Universidade Nova de Lisboa, IET/CESNOVA-Research on Enterprise and Work Innovation, Faculty of Science and Technology in its series IET Working Papers Series with number 03/2011.

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Length: 25 pages
Date of creation: Feb 2011
Date of revision:
Handle: RePEc:ieu:wpaper:34

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Related research

Keywords: composite indicators; innovation; technology policy decisions; European Innovation Scoreboard; Innovation Union Scoreboard;

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References

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  1. Michela Nardo & Michaela Saisana & Andrea Saltelli & Stefano Tarantola & Anders Hoffman & Enrico Giovannini, 2005. "Handbook on Constructing Composite Indicators: Methodology and User Guide," OECD Statistics Working Papers 2005/3, OECD Publishing.
  2. Grupp, Hariolf & Schubert, Torben, 2010. "Review and new evidence on composite innovation indicators for evaluating national performance," Research Policy, Elsevier, vol. 39(1), pages 67-78, February.
  3. Gomez-Limon, Jose Antonio & Riesgo, Laura, 2008. "Alternative Approaches On Constructing A Composite Indicator To Measure Agricultural Sustainability," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6489, European Association of Agricultural Economists.
  4. Charles I. Jones, 2002. "Sources of U.S. Economic Growth in a World of Ideas," American Economic Review, American Economic Association, vol. 92(1), pages 220-239, March.
  5. Kuhlmann, Stefan & Boekholt, Patries & Georghiou, Luke & Guy, Ken & Heraud, Jean-Alain & Laredo, Philippe & Lemola, Tarmo & Loveridge, Denis & Luukkonen, Terttu & Moniz, António & Polt, Wolfgang & Ri, 1999. "Improving Distributed Intelligence in Complex Innovation Systems," MPRA Paper 6426, University Library of Munich, Germany, revised May 1999.
  6. M. Saisana & A. Saltelli & S. Tarantola, 2005. "Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 307-323.
  7. Geels, Frank W. & Schot, Johan, 2007. "Typology of sociotechnical transition pathways," Research Policy, Elsevier, vol. 36(3), pages 399-417, April.
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