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Efficiency in technological networks, an approach from Artificial Neural Networks (ANN)

Arranz, N and Fernandez De Arroyabe, JC (2010) 'Efficiency in technological networks, an approach from Artificial Neural Networks (ANN).' International Journal of Management Science and Engineering Management, 5 (6). 453 - 460. ISSN 1750-9653

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: technological networks, artificial neural networks, cooperative game theory, structural efficiency, conflict
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions: Faculty of Social Sciences > Essex Business School > Management Science and Entrepreneurship Group
Depositing User: Jim Jamieson
Date Deposited: 16 Feb 2016 10:04
Last Modified: 18 Oct 2017 16:16
URI: http://repository.essex.ac.uk/id/eprint/16079

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