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

Fernando Barrios Aguirre; Sandra Yaneth  Mora Malagón; Martha Isabel Amado Piñeros; Luis Gabriel Gutiérrez Bernal

doi:10.4067/S0718-27242022000400040

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

Authors

Fernando Barrios Aguirre School of Management, Business, and Economics Sciences, University Foundation of the Andean Area, Bogotá, Colombia https://orcid.org/0000-0001-9577-3329
Sandra Yaneth Mora Malagón School of Economic, University of the Andes, Bogota, Colombia
Martha Isabel Amado Piñeros School of Management, Business, and Economics Sciences, University Foundation of the Andean Area, Bogotá, Colombia
Luis Gabriel Gutiérrez Bernal School of Management, Business, and Economics Sciences, University Foundation of the Andean Area, Bogotá, Colombia

DOI:

https://doi.org/10.4067/S0718-27242022000400040

Keywords:

Knowledge Networks, innovative performance, neural networks

Abstract

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

Downloads

Download data is not yet available.

Downloads

Published

2022-12-27

How to Cite

Barrios Aguirre, F., Mora Malagón, S. Y. ., Amado Piñeros, M. I., & Gutiérrez Bernal, L. G. (2022). Networks, obstacles, and resources for innovative performance: An analysis via neural networks for prediction in the manufacturing industry. Journal of Technology Management & Innovation, 17(4), 40–47. https://doi.org/10.4067/S0718-27242022000400040