Service-choice behaviour modelling with latent perceptual variables

This paper presents a new service-choice behaviour model for various types of telecommunications and internet services. We have proposed a framework for analysing service demand, which can be used to simulate scenarios under various assumed conditions. Service-choice behaviour modelling results in a service demand and is a key factor in this framework. Service-choice behaviour models are constructed to give choice probabilities under given conditions, selectable services, and service specifications, for example. In this paper, we focus on the influence of the lack of knowledge and misunderstanding about services. We propose a service-choice modelling with latent perceptual variables. The model for telecommunications services is shown as an application example. We classify latent perceptual variables into three types: functionality, user friendliness, and charge. This paper gives a method to construct a model with latent perceptual variables and its estimation results. It shows that the proposed method improves the goodness of the model.

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