Choice Behavior Analysis of Internet Access Services Using Supervised Learning Models

Nishimatsu, Ken; Inoue, Akihisa; Saito, Miiru; Iwashita, Motoi

doi:10.1007/978-3-030-24405-7_7

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…We proposed user segmentation modeling to create differential descriptions of user segments [15]. This model is created using a binominal logistic regression analysis.…”

Section: User Segmentation Using Supervised Learning Modelmentioning

confidence: 99%

Mobile Carrier Change Intention Analysis Based on IT Service Management Platform

Nishimatsu¹,

Inoue

Iwashita

2023

Information Engineering Express

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The purpose of this study is to understand the user intention to continue or change mobile carriers, considering the current mobile phone market in Japan. The market was mainly shared by three Major Mobile-Carriers (3MMC): docomo, au, and SoftBank. However, the number of Mobile Virtual Network Operators (MVNOs) customers has been increasing recently, and Rakuten Mobile has entered the mobile phone market as a Mobile Network Operator (MNO). Currently, the mobile phone market is highly competitive and there is little difference in mobile phone services offered by various carriers. Under such competitive conditions, mobile carriers need an appropriate method to develop service strategies to maintain or increase their market share. To understand users' mobile carrier change intention, we classified each carrier's users into two user segments based on continuous or change intention and analyzed the differences between the segments. We showed that the user segmentation model can extract information about the differences in characteristics of two user segments from their decision-making factors and user attributes with respect to mobile services. Understanding these differences is important as carriers consider when and what strategies to implement in order to maintain or increase market share.

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“…We proposed user segmentation modeling to create differential descriptions of user segments [15]. This model is created using a binominal logistic regression analysis.…”

Section: User Segmentation Using Supervised Learning Modelmentioning

confidence: 99%

Mobile Carrier Change Intention Analysis Based on IT Service Management Platform

Nishimatsu¹,

Inoue

Iwashita

2023

Information Engineering Express

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“…For example, mobile carrier choice between three major carriers (i.e., NTT docomo, au, and Softbank) and Mobile Virtual Network Operators (MVNO) were analyzed based on the degree of user satisfaction of current service and the differences of important factors of choosing a service (Inoue et al, 2017;Inoue et al, 2019). Users who only used wireless service at home were segmented by whether or not they had used Internet fixed-line access service in the past, and effective information that explains the differences between the segments could be extracted by using logistic regression analysis (Nishimatsu et al, 2019).…”

Section: Related Workmentioning

confidence: 99%

User Intent-Based Segmentation Analysis for Internet Access Services

Nishimatsu

Inoue

2023

International Journal of Strategic Decision Sciences

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The Internet is available for almost all homes in Japan. During the diffusion stage of Internet access services, it was important to construct a model to evaluate the sensitivity for Internet access service attributes and estimate user service choice behavior to consider service sale strategies. However, as the demand for Internet access services reached saturation, the differences in service attributes among service providers became smaller, making it difficult to decide service sale strategies using conventional choice behavior models. Therefore, the purpose of this paper is to establish a method for extracting effective information for service sale strategies by focusing on user intentions and clarifying the differences in future intentions for current carriers or services with observable and unobservable factors concerned with user intention. The authors propose a framework for user intent-based segmentation to understand the current market structure and develop appropriate service sales strategies for each segment.

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Choice Behavior Analysis of Internet Access Services Using Supervised Learning Models

Cited by 2 publications

References 10 publications

Mobile Carrier Change Intention Analysis Based on IT Service Management Platform

Mobile Carrier Change Intention Analysis Based on IT Service Management Platform

User Intent-Based Segmentation Analysis for Internet Access Services

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