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Using multiobjective mathematical programming to link national competitiveness, productivity, and innovation

Carayannis, Elias G, Grigoroudis Evangelos

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URIhttp://purl.tuc.gr/dl/dias/A8662EC9-F9F7-46EA-87D7-71653121388A-
Identifierhttps://link.springer.com/article/10.1007%2Fs10479-015-1873-x-
Identifierhttps://doi.org/10.1007/s10479-015-1873-x-
Languageen-
Extent21 pagesen
TitleUsing multiobjective mathematical programming to link national competitiveness, productivity, and innovationen
CreatorCarayannis, Elias Gen
CreatorGrigoroudis Evangelosen
CreatorΓρηγορουδης Ευαγγελοςel
PublisherSpringer Verlagen
Content SummaryInnovation-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.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2018-06-28-
Date of Publication2016-
SubjectCompetitivenessen
SubjectInnovationen
SubjectMultiobjective mathematical programmingen
SubjectProductivityen
Bibliographic CitationE. 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-xen

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