Abstract
Customer satisfaction is viewed by many authors as one of the variables that have exercised the strongest influence on loyalty. The key objective of this study is to ascertain the variables that influence satisfaction that are specific to the insurance industry. It was deemed important to include, as satisfaction determinants in relation to insurance companies, service quality, perceived value, expertise and customer orientation of the personal contact, communication, reputation, and perceived justice. For this, we used the techniques of structural equation modeling and artificial neural networks, and we compare the two techniques in terms of results.
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Bello da Silveira Baptista de Figueiredo Marcos, A.M., Coelho, A.F.M., Vivaldo dos Santos Silva, M.M. (2012). Antecedents of Customer Satisfaction with Insurance Companies. In: Gil-Lafuente, A., Gil-Lafuente, J., Merigó-Lindahl, J. (eds) Soft Computing in Management and Business Economics. Studies in Fuzziness and Soft Computing, vol 286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30457-6_23
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