Preference disaggregation for measuring and analysing customer satisfaction: The MUSA method |
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Affiliation: | 1. Department of Economics and Business, Pompeu Fabra University, Ramon Trias Fargas 25-27, Barcelona 08005, Spain;2. Barcelona Graduate School of Economics, Barcelona, Spain;3. Barcelona School of Management, Barcelona, Spain;4. Institute of Computing Science, Poznan University of Technology, Poznań, Poland;1. Faculté Polytechnique, Université de Mons, 9 rue de Houdain, Mons 7000, Belgium;2. Laboratoire Génie Industriel, CentraleSupélec, Grande Voie des Vignes, Châtenay-Malabry 92295, France;1. Department of Applied Informatics, University of Macedonia, Greece, 156 Egnatia Street, GR 54636 Thessaloniki, Greece;2. PAPAGEORGIOU GENERAL HOSPITAL, Municiality Pavlou Mela, 56403, Thessaloniki, Greece |
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Abstract: | The MUlticriteria Satisfaction Analysis (MUSA) method for measuring and analysing customer satisfaction is presented in this paper. The MUSA method is a preference disaggregation model following the principles of ordinal regression analysis (inference procedure). The integrated methodology evaluates the satisfaction level of a set of individuals (customers, employees, etc.) based on their values and expressed preferences. Using satisfaction survey's data, the MUSA method aggregates the different preferences in unique satisfaction functions. This aggregation–disaggregation process is achieved with the minimum possible errors. The main advantage of the MUSA method is that it fully considers the qualitative form of customers' judgements and preferences. The development of a set of quantitative indices and perceptual maps makes possible the provision of an effective support for the satisfaction evaluation problem. This paper also presents the reliability analysis of the provided results, along with a simple numerical example that demonstrates the implementation process of the MUSA method. Finally, several extensions and future research in the context of the presented method are discussed. |
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