Networks, obstacles, and resources for innovative performance: An analysis via neural networks for prediction in the manufacturing industry

This document aims to predict the level of innovation in manufacturing companies Colombia between years 2017-2018. A forecasting mechanism for performance has been constructed using Neural Networks (NNs). model considers objectives innovation, obstacles knowledge networks, and technical information each one firms. Results show that demand push, vertical sources, financial obstacles, and, qualified personnel are most important variables predicting innovative performance. Our empirical analysis uses firm-level survey data from EDIT (Encuesta de Desarrollo e Innovación Tecnológica Spanish, Technological Development, Innovation Survey English)