Aplicación de Técnicas de Análisis de Conglomerados y Redes Neuronales Artificiales en la Evaluación del Potencial Exportador de una Empresa
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Fecha
2017-08
Autores
De La Hoz, Efraín
López Polo, Ludys
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Editor
Scientific Electronic Library Online
Resumen
Se presenta una metodología para el análisis de las condiciones competitivas en el comercio exterior de
organizaciones empresariales. El análisis abarca las etapas de medición, evaluación y clasificación de las
empresas, a partir de la propuesta de 16 factores clave del potencial exportador. También se evalúa la
aplicación del análisis de conglomerados para identificar y caracterizar perfiles competitivos y de redes
neuronales artificiales para clasificar el potencial exportador. Los resultados muestran la capacidad del
análisis de conglomerados y de las redes neuronales artificiales para discriminar niveles competitivos en el
potencial exportador. Su aplicación en el sector químico permitió agrupar las empresas en cuatro perfiles
competitivos que asocian sus características. Las redes neuronales artificiales mostraron un 85,7% de
capacidad para discriminar y clasificar las empresas según su perfil competitivo.
A methodology for the analysis of competitive conditions in foreign trade business organizations is presented. The analysis includes the steps of measuring, evaluation and classification of enterprises considering 16 key factors in export potential. Also, the application of cluster analysis to identify and characterize profiles in the competitive potential is done, and artificial neural networks were employed to classify the export potential. The results show the ability of the cluster analysis and of the artificial neural networks to discriminate competitive levels in export potential. The application of this methodology in the chemical sector, allowed classifying companies in four competitive groups. Also, artificial neural network showed to be capable of classifying and discriminating the competitive profile of a company with a probability of 85.7%.
A methodology for the analysis of competitive conditions in foreign trade business organizations is presented. The analysis includes the steps of measuring, evaluation and classification of enterprises considering 16 key factors in export potential. Also, the application of cluster analysis to identify and characterize profiles in the competitive potential is done, and artificial neural networks were employed to classify the export potential. The results show the ability of the cluster analysis and of the artificial neural networks to discriminate competitive levels in export potential. The application of this methodology in the chemical sector, allowed classifying companies in four competitive groups. Also, artificial neural network showed to be capable of classifying and discriminating the competitive profile of a company with a probability of 85.7%.
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Palabras clave
Potencial exportador, Orientación exportadora, Competitividad, Export potential, Export orientation, Competitiveness