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Effciency in technological networks, an approach from artificial neural networks / N. Arranz in International journal of management science and engineering management, Vol. 5 N° 6 (Décembre 2010) 

Public ISBD [article]  in International journal of management science and engineering management > Vol. 5 N° 6 (Décembre 2010) . - pp.453-460 Titre : Effciency in technological networks, an approach from artificial neural networks Type de document : texte imprimé Auteurs : N. Arranz, Auteur ; J. C. Fdez. de Arroyabe, Auteur Année de publication : 2011 Article en page(s) : pp.453-460 Note générale : Management Langues : Anglais (eng) Mots-clés : Technological  networks  Artificial  neural  networks  Cooperative  game  theory  Structural  efficiency  Conflict Résumé : This paper presents the application of the artificial neural network (ANN) to the study of efficiency in technological networks. Based on a survey of 350 experts, who belong to different European institutions that regularly participate in technological networks, we represent joint and individual performance depending on two structural factors -number and typology of partners. Findings suggest that the main source of inefficiencies in the network derives from the discrepancy in the partner's perception of network's results and from the partners' contribution to the project, both at individual and joint level. DEWEY : 658 ISSN : 1750-9653 En ligne : http://www.ijmsem.org/OnlineJournal.do/?164.html [article] Effciency in technological networks, an approach from artificial neural networks [texte imprimé] / N. Arranz, Auteur ; J. C. Fdez. de Arroyabe, Auteur . - 2011 . - pp.453-460. Management Langues : Anglais (eng) in International journal of management science and engineering management > Vol. 5 N° 6 (Décembre 2010) . - pp.453-460 Mots-clés : Technological  networks  Artificial  neural  networks  Cooperative  game  theory  Structural  efficiency  Conflict Résumé : This paper presents the application of the artificial neural network (ANN) to the study of efficiency in technological networks. Based on a survey of 350 experts, who belong to different European institutions that regularly participate in technological networks, we represent joint and individual performance depending on two structural factors -number and typology of partners. Findings suggest that the main source of inefficiencies in the network derives from the discrepancy in the partner's perception of network's results and from the partners' contribution to the project, both at individual and joint level. DEWEY : 658 ISSN : 1750-9653 En ligne : http://www.ijmsem.org/OnlineJournal.do/?164.html