Using multiobjective mathematical programming to link national competitiveness, productivity, and innovationUsing multiobjective mathematical programming to link national competitiveness, productivity, and innovation Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2018-06-282016enInnovation-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.http://creativecommons.org/licenses/by/4.0/Annals of Operations Research2472635-655 Carayannis, Elias G Grigoroudis Evangelos Γρηγορουδης Ευαγγελος Springer Verlag Competitiveness Innovation Multiobjective mathematical programming Productivity