English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 92604/122928 (75%)
Visitors : 26747506      Online Users : 345
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/108991
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/108991

    Title: Assessing Customer Retention in B2C Electronic Commerce: An Empirical Study
    Authors: 管郁君
    Huang, Eugenia;Tsui, Chia-jung
    Contributors: 資管系
    Keywords: customer retention;repeat purchase behavior;inter-purchase time;B2C electronic commerce;empirical study
    Date: 2016-10
    Issue Date: 2017-04-20 16:45:55 (UTC+8)
    Abstract: In the challenging environment of the transparent electronic marketplace in which competitors are only a click away, Web retailers are particularly vulnerable to customer attrition. Central to business growth and survival, customer retention is an important issue that every business strives to understand and harness. While some studies have attempted to determine the factors that influence customer retention, few measure it quantitatively. However, businesses have long been eager to have quantitative information concerning their customer base: How many of their customers they can consider retained at any given time? What time lapse should trigger an alert that the customer may have defected? Based on real purchasing data from a Web retailer, and using 80 percentage of assurance as an example, this paper proposes a customer retention assessment method by calculating the aggregate 80th percentile of maximum inter-purchase times and confirms the validity of this method by showing that the assessment successfully sets apart valuable customers, in terms of number of orders, average spending per order, and total spending. This research not only enables researchers to undertake longitudinal studies of customer re-patronage behavior, but also helps practitioners monitor customer retention effectively.
    Relation: Journal of Marketing Analytics,
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1057/s41270-016-0007-x
    DOI: 10.1057/s41270-016-0007-x
    Appears in Collections:[資訊管理學系] 期刊論文

    Files in This Item:

    File Description SizeFormat

    All items in 政大典藏 are protected by copyright, with all rights reserved.

    社群 sharing

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback