2012
DOI: 10.1016/j.eswa.2011.09.045
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Time-varying effects in the analysis of customer loyalty: A case study in insurance

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Cited by 49 publications
(43 citation statements)
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“…By tradition, customer loyalty is divided into two components one is based on behavior and the other is based on attitudes (Guillén et al 2011). Due to the rapid development of the service industry in recent years, it is evident that the exploration of customer loyalty has evolved from tangible product brands into intangible service sectors, and from actual purchasing behavior into composite measures of behavior and attitude (Lin 2012).…”
Section: Loyaltymentioning
confidence: 99%
“…By tradition, customer loyalty is divided into two components one is based on behavior and the other is based on attitudes (Guillén et al 2011). Due to the rapid development of the service industry in recent years, it is evident that the exploration of customer loyalty has evolved from tangible product brands into intangible service sectors, and from actual purchasing behavior into composite measures of behavior and attitude (Lin 2012).…”
Section: Loyaltymentioning
confidence: 99%
“…Guillén et al investigate time-varying effects in the analysis of insurance customer loyalty. Their results showed that the kind of contracts held by customers and the concurrence of an external competitor have strongly influence on customers loyalty; but those factors become much less significant some months later [27].…”
Section: Related Workmentioning
confidence: 98%
“…Schweidel et al (2011) observe the same phenomenon in data from a multi-line insurance provider in Denmark, which took into account historical information and anticipated lapses. Guillen et al (2012) find future profit prospects in a similar context to be very informative (see also Guillen et al 2011;Guelman et al 2012). Kaishev et al (2013) present a profit model specifically designed for products for which the profit consists of a stochastic income at the point of sale, minus the cost of contacting a specific customer and the stochastic cost generated by the customer's actions.…”
Section: Literature Reviewmentioning
confidence: 99%