Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/95261 
Year of Publication: 
2012
Series/Report no.: 
Quaderni di Dipartimento No. 160
Publisher: 
Università degli Studi di Pavia, Dipartimento di Economia Politica e Metodi Quantitativi (EPMQ), Pavia
Abstract: 
Mystery shopping is a well known marketing technique used by companies and marketing analysts to measure quality of service, and gather information about products and services. In this article, we analyse data from mystery shopping surveys via Bayesian networks in order to examine and evaluate the quality of service offered by the loan departments of Greek banks. We use mystery shopping visits to collect information about loan products and services and, by this way, evaluate the customer satisfaction and plan improvement strategies that will assist Banks to reach their internal standards. Bayesian Networks not only provide a pictorial representation of the dependence structure between the characteristics of interest but also allow to evaluate, interpret and understand the effects of possible improvement strategies.
Subjects: 
Bayesian networks
Customer satisfaction
Mystery shopping
Service quality improvement
Document Type: 
Working Paper

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