Abstract
For the design of public services, it is important to clarify service customers. For this purpose, various methods of customer modeling were proposed. Before constructing customer models, it is required to group customers and to characterize each customer group. However, the customer grouping based on some statistical barometers (e.g. age, sex, and job categories) may not reflect actual customer requirements for the service. This paper aims to propose a method for supporting customer grouping and characterizing without such statistical barometers. Finally, the proposed method is applied to an urban development case to demonstrate the effectiveness.
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Acknowledgment
This research is supported by JSPS KAKENHI Grant Number 26280114, Research Institute of Science and Technology for Society (RISTEX) and We Love Tenjin Council.
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Mizoguchi, S. et al. (2017). A Method for Supporting Customer Model Construction: Using a Topic Model for Public Service Design. In: Sawatani, Y., Spohrer, J., Kwan, S., Takenaka, T. (eds) Serviceology for Smart Service System. ICServ 2015. Springer, Tokyo. https://doi.org/10.1007/978-4-431-56074-6_3
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DOI: https://doi.org/10.1007/978-4-431-56074-6_3
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-56072-2
Online ISBN: 978-4-431-56074-6
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