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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106940


    Title: Predicting customer churn from valuable B2B customers in the logistics industry: a case study
    Authors: 胡雅涵;Chen, Kuanchin;Hu, Ya-Han;Hsieh, Yi-Cheng
    Contributors: 管理學院資訊管理學系
    Keywords: Brand loyalty;Business;Business and Management;Business to business commerce;Case studies;Competition;Customer services;Electronic commerce;Information systems;Information Systems Applications (incl.Internet);International;IT in Business;Logistics;Management;Management science;Mathematical models;Original Article;Streams;Studies;Turnover;Value analysis;Variables
    Date: 2015-08-29
    Issue Date: 2026-04-23 13:49:49 (UTC+8)
    Publisher: Springer Verlag;Berlin/Heidelberg: Springer Berlin Heidelberg
    Abstract: 摘要: This study uncovers the effect of the length, recency, frequency, monetary, and profit (LRFMP) customer value model in a logistics company to predict customer churn. This unique context has useful business implications compared to the main stream customer churn studies where individual customers (rather than business customers) are the main focus. Our results show the five LRFMP variables had a varying effect on customer churn. Specifically length, recency and monetary variables had a significant effect on churn, while the frequency variable only became a top predictor when the variability of the first three variables was limited. The profit variable had never become a significant predictor. Certain other behavioral variables (such as time between transactions) also had an effect on churn. The resulting set of predictors of churn expands the original LRFMP and RFM models with additional insights. Managerial implications were provided.
    其他題名: Inf Syst E-Bus Manage
    出版者: Berlin/Heidelberg: Springer Berlin Heidelberg
    出版日期: 2015-08-01
    出處: Information systems and e-business management, 2015-08, Vol.13 (3), p.475-494
    資源來源: ABI/INFORM Collection
    版權: Springer-Verlag Berlin Heidelberg 2014
    版權: Springer-Verlag Berlin Heidelberg 2015
    識別號: ISSN: 1617-9846
    識別號: EISSN: 1617-9854
    識別號: DOI: 10.1007/s10257-014-0264-1
    Appears in Collections:[Department of Information Management] journal & Dissertation

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