Institutional Repository
Technical University of Crete
Technical University of Crete
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EL
| URI: | http://purl.tuc.gr/dl/dias/A8662EC9-F9F7-46EA-87D7-71653121388A | ||
| Year | 2016 | ||
| Type of Item | Peer-Reviewed Journal Publication | ||
| License |
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| Bibliographic Citation | E. G. Carayannis and E. Grigoroudis, "Using multiobjective mathematical programming to link national competitiveness, productivity, and innovation," Ann. Oper. Res., vol. 247, no. 2, pp. 635-655, Dec. 2016. doi: 10.1007/s10479-015-1873-x https://doi.org/10.1007/s10479-015-1873-x | ||
| Appears in Collections |
Innovation-driven competitiveness is critical for a country’s long run economic performance in today’s knowledge-based global economy. Although several alternative measures of innovation, productivity, and competitiveness have been proposed, these concepts are inherently linked and this justifies the necessity of studying them in an integrated way, giving emphasis on their potential interrelations. This paper proposes a methodological measurement framework based on multiobjective mathematical programming in order to study the linkage among national innovation, productivity, and competitiveness and discover potential performance patterns. The model is applied in a set of European countries for the period 1998–2008. The empirical results reveal important gaps and show that innovativeness, income, and geographic area significantly affect national performances.
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