Abstract
The purpose of this study is to understand the Internet-access service choice behavior considering the current market in Japan. The customer number of high-speed wireless services in Japan is growing rapidly in recent years. The choice behavior in the Internet-access service market is becoming complicated and diversified. We focus on two segments of Internet access users: fixed-line users and only-wireless users. Fixed-line users mean the customers use both fixed-line services and wireless services at home. Only-wireless users mean the customers use only-wireless services at home. We analyzed the differences between two user segments: fixed-line users and only-wireless users from various viewpoints on the basis of an original survey. We propose supervised learning models to create differential descriptions of these user segments from the viewpoints of decision-making factors. The characteristics of these user segments are shown by using the estimated models.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ministry of Internal Affairs and Communications, Information and Communications in Japan: White Paper 2018, Part 2, Chapter 5, Section 2 ICT Service Usage Trends. http://www.soumu.go.jp/johotsusintokei/whitepaper/eng/WP2018/chapter-5.pdf#page=11. Accessed Feb 2019
Ministry of Internal Affairs and Communications: Official Announcement of Quarterly Data on the Number of Telecommunications Service Subscriptions and Market Share (in Japanese). http://www.soumu.go.jp/main_content/000590807.pdf. Accessed Dec 2018
Inoue, A., Takahashi, S., Nishimatsu, K., Kawano, H.: Service demand analysis using multi-attribute learning mechanisms. In: 2003 IEEE International Conference on Integration of Knowledge Intensive Multi-agent Systems (KIMAS 2003), pp. 634–639 (2003)
Kurosawa, T., Inoue, A., Nishimatsu, K., Ben-Akiva, M., Bolduc, D.: Customer-choice behavior modeling with latent perceptual variables. Intell. Eng. Syst. Artif. Neural Netw. (ASME Press, NY) 15, 419–426 (2005)
Nishimatsu, K., Inoue, A., Kurosawa, T.: Service-demand-forecasting method using multiple data sources. In: 12th International Telecommunications Network Strategy and Planning Symposium (NETWORKS2006), Technical Session 2.3 (2006)
Kurosawa, T., Inoue, A., Nishimatsu, K.: Service-choice behavior modeling with latent perceptual variables. Int. J. Electron. Cust. Relat. Manag. 2(3), 228–250 (2008)
Takano, Y., Inoue, A., Kurosawa, T., Iwashita, M., Nishimatsu, K.: Customer segmentation in mobile carrier choice modeling. In: 9th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2010), pp. 111–116 (2010)
Kurosawa, T., Bolduc, D., Ben-Akiva, M., Inoue, A., Nishimatsu, K., Iwashita, M.: Demand analysis by modeling choice of Internet access and IP telephony. Int. J. Inf. Syst. Serv. Sect. 3(3), 1–26 (2011)
Inoue, A., Takano, Y., Kurosawa, T., Iwashita, M., Nishimatsu, K.: Mobile-carrier choice modeling framework under competitive conditions. J. Inf. Process. 20(3), 585–591 (2012)
Inoue, A., Iwashita, M., Kurosawa, T., Nishimatsu, K.: Mobile-carrier choice behavior analysis around smart phone market. In: Proceedings of 14th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2013), pp. 400–405 (2013)
Inoue, A., Tsuchiya, Y., Saito, M., Iwashita, M.: Demand analysis of Internet access services in Japan. In: 16th International Telecommunications Network Strategy and Planning Symposium (NETWORKS2014), Technical Session 14.2 (2014)
Inoue, A., Saito, M., Iwashita, M.: Behavior analysis on mobile-carrier choice & mobile-phone purchase. In: Proceedings of 2nd ACIS International Conference on Computational Science and Intelligence 2015 (CSI2015), CSI-SS3-1 (2015)
Inoue, A., Kitahara, K., Iwashita, M.: Behavior analysis on mobile-carrier choice considering mobile virtual network operators. In: Proceedings of 15th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2016), pp. 995–1000 (2016)
Inoue, A., Kitahara, K., Iwashita, M.: Mobile-carrier choice behavior analysis between three major mobile-carriers and mobile virtual network operators. In: Proceedings of 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2017), pp. 501–506 (2017)
Inoue, A., Satoh, A., Kitahara, K., Iwashita, M.: Mobile-carrier choice behavior analysis using supervised learning models. In: Proceedings of 7th International Congress on Advanced Applied Informatics (AAI 2018), pp. 829–834 (2018)
Provost, F., Fawcett, T.: Data Science for Business. O’Reilly Media, Inc., CA (2013)
Ben-Akiva, M., Lerman, S.R.: Discrete Choice Analysis. MIT Press, MA (1987)
McFadden, D.L.: The choice theory approach to market research. Mark. Sci. 5(4), 275–297 (1986)
Social Survey Research Information Co., Ltd.: BellCurve for Excel. https://bellcurve.jp/ex/
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Nishimatsu, K., Inoue, A., Saito, M., Iwashita, M. (2020). Choice Behavior Analysis of Internet Access Services Using Supervised Learning Models. In: Lee, R. (eds) Big Data, Cloud Computing, and Data Science Engineering. BCD 2019. Studies in Computational Intelligence, vol 844. Springer, Cham. https://doi.org/10.1007/978-3-030-24405-7_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-24405-7_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-24404-0
Online ISBN: 978-3-030-24405-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)