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Información tecnológica

versão On-line ISSN 0718-0764

Resumo

DE LA HOZ, Efraín  e  LOPEZ POLO, Ludys. Application of Cluster Analysis Techniques and Artificial Neural Networks for the Evaluation of the Exporting Capability of a Company. Inf. tecnol. [online]. 2017, vol.28, n.4, pp.67-74. ISSN 0718-0764.  http://dx.doi.org/10.4067/S0718-07642017000400009.

I 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%.

Palavras-chave : export potential; export orientation; competitiveness.

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