Study on Identification of Service Elements by Well-being Type Using Bayesian Network Modelling

Abstract

Even when consumers receive the same services, they may not have the same experiences of well-being or satisfaction. In this paper, we investigate how consumers experience well-being by classifying consumers into several well-being types using Bayesian network model and identifying what kind of points consumers of each type consider importantly. Furthermore, this paper proposes a method for deriving which service-related variables have higher probabilities of enhancing well-being of each type, as well as the variables that affect experiences of wellbeing according to each type using probabilistic reasoning based on a Bayesian network model.