Describing customer loyalty to spanish petrol stations through rule extraction

Authors:
Alfredo Vellido;Terence A. Etchells;David L. García;Ángela Nebot
Affiliations:
Department of Computing Languages and Systems, Technical University of Catalonia, Barcelona, Spain;School of Computing and Mathematical Sciences, Liverpool John Moores University, Liverpool, UK;Department of Computing Languages and Systems, Technical University of Catalonia, Barcelona, Spain;Department of Computing Languages and Systems, Technical University of Catalonia, Barcelona, Spain
Venue:
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Year:
2006

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Abstract

Globalization and deregulation are modifying the competitive framework in the majority of economic sectors and, as a result, many companies are changing their commercial model to focus on the preservation of existing customers. Understanding customer loyalty therefore represents an element of competitive advantage. In this brief paper, we investigate loyalty in the Spanish petrol station market, according to the customer satisfaction and switching barriers constructs. Satisfaction and behavioural intentions are analysed within a classification framework using Bayesian neural networks. The necessary interpretability and actionability of the results is achieved through the use of a feature selection process embedded in the network training and a novel rule extraction method.