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A portfolio analysis methodology to inform innovation policy and foresight

Author

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  • do Couto e Silva, Eduardo
  • Silberglitt, Richard
  • Machado, Lucas Chieregatti
  • Maia, Jackson Max Furtunato
  • Cagnin, Cristiano Hugo

Abstract

This paper describes a new method for combining innovation foresight, country's innovation indices, and decision analysis to identify the best combination of investments to improve national innovation systems, using Brazil as the example. The sub-pillars for human factors for innovation of the Global Innovation Index (GII) (Cornell University, INSEAD, and WIPO, 2014) are used to develop a gap coverage matrix that is analysed using the Portman method (Chow et al., 2011), to enable the identification of an optimum portfolio of investments, taking into account the level of funding for each program and any interrelationships between them. The methodology could either be refined through a foresight exercise or provide inputs to a foresight study for innovation policy that would generate threshold values for the gaps and describe their relative importance. The latter could provide an explicit and quantitative guide to decision-makers in the implementation of the foresight results. The implications of the method for FTA practice are discussed.

Suggested Citation

  • do Couto e Silva, Eduardo & Silberglitt, Richard & Machado, Lucas Chieregatti & Maia, Jackson Max Furtunato & Cagnin, Cristiano Hugo, 2017. "A portfolio analysis methodology to inform innovation policy and foresight," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 338-347.
    • Handle: RePEc:eee:tefoso:v:115:y:2017:i:c:p:338-347
    DOI: 10.1016/j.techfore.2016.06.032
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    References listed on IDEAS

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    1. Cristiano Cagnin & Effie Amanatidou & Michael Keenan, 2012. "Orienting European innovation systems towards grand challenges and the roles that FTA can play," Science and Public Policy, Oxford University Press, vol. 39(2), pages 140-152, March.
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    Cited by:

    1. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang, 2022. "Analysis of Global Innovation Index by structural qualitative association," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    2. Yigitcanlar, Tan & Sabatini-Marques, Jamile & da-Costa, Eduardo Moreira & Kamruzzaman, Md & Ioppolo, Giuseppe, 2019. "Stimulating technological innovation through incentives: Perceptions of Australian and Brazilian firms," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 403-412.
    3. Andersen, Per Dannemand & Johnston, Ron & Saritas, Ozcan, 2017. "FTA and Innovation Systems," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 236-239.

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