English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 96741/127401 (76%)
Visitors : 32392093      Online Users : 466
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
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/66902

    Title: Segmenting Online Game Customers –the Perspective of Experiential Marketing
    Authors: 許志堅
    Sheu, Jyh-Jian;Su, Yan-Hua;Chu, Ko-Tsung
    Contributors: 傳播學院
    Keywords: Data mining;Decision tree;Experiential marketing;Online game
    Date: 2009.05
    Issue Date: 2014-06-25 10:22:32 (UTC+8)
    Abstract: In this paper, we developed measurement scales for five experiential modules of the SEMs for online game players and the three attributes that are repurchase desire, public praise and recommendation desire and cross-purchase desire to set up the decision trees from the collected questionnaires of existence players. Accounting to the online games consumers attributes’ literatures, we located and modified the important influential factors for each experiential module. Then, by applying the technique of decision tree data mining, we explored the potential relationship between the important influential factors and customer loyalty. The major contribution of this paper is to integrate data mining and experiential marketing to segment online game customers. These results can help firms to predict and understand the new consumers’ purchase behavior. According to this understanding, online games’ manufactures could draw up the different market strategies to increase the more purchase for the new different attributes’ consumers.
    Relation: Expert Systems with Applications, 36(4), 8487-8495
    Data Type: article
    Appears in Collections:[廣播電視學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    8487-8495.pdf242KbAdobe PDF960View/Open

    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