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Decision making processes based on innovation indicators: which implications for technology assessment?

Author

Listed:
  • Nuno Boavida

    (IET, FCT-Universidade Nova de Lisboa)

Abstract

The present work deals with the use of innovation indicators in the decision-making process. It intends to contribute to the discussion on the construction, use and analysis of indicator systems and also to evaluate its weight on decision-making in innovation. The goal is to help understand how innovation indicators can influence technology policy and through it, society at large. This work will start by analysing the use of indicators (their problems and consistency) and other sources of information that contribute to build the opinions of innovation decision makers. This will be followed by a survey and interviews with main innovation actors. The results will shed light on the impact of the use of indicators by the innovation community – both in terms of technology policy and in the social sphere. Proposals and implications for the future will be advanced, hopefully adding new contributions to the governance of the science, technology and innovation field.

Suggested Citation

  • Nuno Boavida, 2011. "Decision making processes based on innovation indicators: which implications for technology assessment?," Enterprise and Work Innovation Studies, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology, vol. 7(7), pages 33-55, November.
    • Handle: RePEc:ieu:journl:v:7:y:2011:i:7:p:33-55
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    File URL: http://run.unl.pt/handle/10362/7943
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    References listed on IDEAS

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    1. 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.
    2. Laurens Cherchye & Wim Moesen & Tom Van Puyenbroeck, 2004. "Legitimately Diverse, yet Comparable: On Synthesizing Social Inclusion Performance in the EU," Journal of Common Market Studies, Wiley Blackwell, vol. 42(5), pages 919-955, December.
    3. Nuno Boavida & Susana Martins Moretto, 2010. "Innovation Assessment of a Portuguese Railway branch of a foreign multinational - A case study," IET Working Papers Series 05/2010, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology.
    4. Robert J W Tijssen, 2003. "Scoreboards of research excellence," Research Evaluation, Oxford University Press, vol. 12(2), pages 91-103, August.
    5. 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, March.
    6. Ruud E. Smits & Stefan Kuhlmann & Phillip Shapira (ed.), 2010. "The Theory and Practice of Innovation Policy," Books, Edward Elgar Publishing, number 4181, June.
    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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    Cited by:

    1. Böhle, Knud & Moniz, António, 2015. "No Countries for Old Technology Assessment? Sketching the Efforts and Opportunities to Establish Parliamentary TA in Spain and Portugal," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 24(1), pages 29-44.
    2. Nuno Boavida & Manuel Baumann & António B. Moniz & Jens Schippl & Max Reichenbach & Marcel Weil, 2013. "Technology transition towards electric mobility - technology assessment as a tool for policy design," IET Working Papers Series 04/2013, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology.
    3. Manuel Laranja & Nuno Boavida, 2012. "The use of indicators and evidence in governance and policy development of Science, Technology and Innovation," IET Working Papers Series 07/2012, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology.
    4. Gabriel T. Velloso, 2012. "Brain-Computer Interface (BCI): a methodological proposal to assess the impacts of medical applications in 2022," Enterprise and Work Innovation Studies, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology, vol. 8(8), pages 57-81, November.

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    Keywords

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    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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    1. Socio-Economics of Innovation

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