Abstract
An innovation system can be considered an entity in charge of coordinating all the actors involved in the innovation processes of a country or region. Recently, the Mexican innovation system has adopted a model to assess the behavior and measurement of the resources invested in innovation activities. The innovation model comprises seven areas denominated as innovation pillars. Applying the forgotten effects theory, this paper aims to quantify the effects of the results of the innovation pillars on the innovation capabilities of a region. The results show a general direct effect of all the pillars on innovation capabilities; however, the pillars’ institutions, infrastructure and market sophistication present significant multiplicative indirect effects that suggest that the initial effects should be reviewed.
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References
Alfaro-García, V.G., Gil-Lafuente, A.M., Alfaro Calderón, G.G.: A fuzzy methodology for innovation management measurement. Kybernetes 46(1), 50–66 (2017)
Adams, R., Bessant, J., Phelps, R.: Innovation management measurement: a review. Int. J. Manage. Rev. 8(1), 21–47 (2006)
Comité Intersectorial para la Innovación: Programa Nacional de Innovación (2011). http://www.economia.gob.mx/files/comunidad_negocios/innovacion/Programa_Nacional_de_Innovacion.pdf. Accessed 10 June 2018
Cornell University, INSEAD, WIPO: The Global Innovation Index 2017: Innovation Feeding the World, Ithaca, Fontainebleau, and Geneva (2017)
Gil-Lafuente, A.M.: Fuzzy Logic in Financial Analysis. Springer, Berlin (2005)
Geoffrey, J.: Innovation, Growth and Competitiveness Dynamic Regions in the Knowledge-Based World Econo. Springer, Heidelberg (2009)
Kaufmann, A.: Introduction à la théorie des sous-ensembles flous à l’usage des ingénieurs (fuzzy sets theory). Masson (1977)
Kaufmann, A., Gil-Aluja, J.: Modelos para la investigación de efectos olvidados. Milladoiro, Vigo (1988)
OECD: “Innovación para el desarrollo de América Latina”, Perspectivas económicas de América Latina 2015: Educación, competencias e innovación para el desarrollo. OECD Publishing, Paris (2014)
Venture Institute: Índice Nacional De Innovación (2013). http://www.fec-chiapas.com.mx/sistema/biblioteca_digital/indice-nacional-innovacion-2013.pdf. Accessed 15 June 2018
Acknowledgements
This paper is part of the Project supported by “Red Iberoamericana para la Competitividad, Innovación y Desarrollo” (REDCID) project number 616RT0515 in “Programa Iberoamericano de Ciencia y Tecnología para el Desarrollo” (CYTED).
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Alfaro-Calderón, G.G., Zaragoza, A., Alfaro-García, V.G., Gil-Lafuente, A.M. (2020). Innovation Capabilities and Innovation Systems: A Forgotten Effects Analysis of Their Components. In: Ferrer-Comalat, J., Linares-Mustarós, S., Merigó, J., Kacprzyk, J. (eds) Modelling and Simulation in Management Sciences. MS-18 2018. Advances in Intelligent Systems and Computing, vol 894. Springer, Cham. https://doi.org/10.1007/978-3-030-15413-4_5
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DOI: https://doi.org/10.1007/978-3-030-15413-4_5
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