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

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.