English  |  正體中文  |  简体中文  |  Post-Print筆數 : 20 |  Items with full text/Total items : 90058/119991 (75%)
Visitors : 24101804      Online Users : 2810
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 140.119/73665
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/73665


    Title: A study on VRM-awareness enterprise websites
    Authors: 苑守慈
    Yuan, Soe-Tysr;Chen, Ho-Hsin
    Contributors: 資管系
    Keywords: Adaptive websites;Customer relationship management;Data mining;Personalized recommendation;Visitor relationship management
    Date: 2002
    Issue Date: 2015-03-05 14:01:41 (UTC+8)
    Abstract: Enterprise websites nowadays have become one of the most important conversation channels between the enterprise and its existing/potential customers (visitors). We envision that novel ways of managing visitor relationships will bring about loyalty from the existing customers and stimulate the interests in the enterprise from the potential customers. This paper is the first attempt to apply the traditional concept of CRM for managing visitor relationships, that is, visitor relationship management (VRM). In other words, visitors are differentiated by means of their different values and served with different relationship strengthening practices in accordance with the varying understanding of the visitors. This paper presents a methodology to understand visitors, to compute the values of those visitors, and to differentiate the services required for each of those visitors. In other words, to generate differentiated experience space for the visitors in the environment of an enterprise website. This methodology is a combination of dynamic web page contents, dynamic web page navigation, and dynamic web page portal, which are based on the techniques of information retrieval, (IR) clustering, and a novel valuing mechanism. This would enable an effective marketing campaign on behalf of the enterprise by separating the loyal visitors from the disloyal ones.
    Relation: Expert Systems with Applications,22(2),147-162
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1016/S0957-4174(01)00051-3
    DOI: 10.1016/S0957-4174(01)00051-3
    Appears in Collections:[資訊管理學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    00051-3.pdf457KbAdobe PDF560View/Open


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


    社群 sharing

    著作權政策宣告
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback