English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62819/95882 (66%)
Visitors : 4006528      Online Users : 563
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/79064


    Title: iValue: A Knowledge-based System for Estimating Customer Prospect Value
    Authors: Chang, Wei-Lun
    Contributors: 淡江大學企業管理學系
    Keywords: Customer lifetime value;Customer prospect value;Knowledge-based systems;Customer value;Customer relationship management
    Date: 2011-12
    Issue Date: 2012-11-28 17:17:42 (UTC+8)
    Publisher: Elsevier BV
    Abstract: In the past, companies changed their focus from product-oriented within marketing to demand-oriented within quality improvement. Today, they emphasize customer service, customer loyalty, and customer profitability. The significance of customer-centric services has become critical and essential. However, certain research which investigates the effect of customer lifetime value focuses only on lifetime values of existing customers. This study devises a novel model to predict customers’ prospect value. In the proposed model, we utilize the concept of finance which stands in the current status and predicts future value based on historical data. The simulated results reveal that, in a long-term simulation, customer prospect value rises when reach rate increases. Decreasing reach rate and costs result in high customer prospect value; however, the value of customer prospect value decreases in a long-term simulation. The new model complements the existing customer lifetime value model from a different perspective and provides clues to customer value for future researches.
    Relation: Knowledge-Based Systems 24(8), pp.1181-1186
    DOI: 10.1016/j.knosys.2011.05.004
    Appears in Collections:[Graduate Institute & Department of Business Administration] Journal Article

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML369View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


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