English  |  正體中文  |  简体中文  |  Items with full text/Total items : 52052/87180 (60%)
Visitors : 8889032      Online Users : 227
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: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/105311

    Title: 資料探勘應用於LINE商業模式與推薦機制之研究
    Other Titles: The study of data mining on the line business model and recommendation mechanism
    Authors: 楊志勇;Yang, Zhi-Yong
    Contributors: 淡江大學管理科學學系碩士班
    廖述賢;Liao, Shu-Hsien
    Keywords: 商業模式;資料探勘;虛實整合;推薦機制;line;Business Model;data mining;Click-and-Mortar;recommendation mechnisam
    Date: 2015
    Issue Date: 2016-01-22 14:52:57 (UTC+8)
    Abstract: 隨著智慧型手機與網路的便利性越來越普及的時代,人與人之間的溝通也更因為手機通訊軟體LINE的誕生,更加增強了彼此之間的連結。因為如此,LINE的商業模式也孕育而生,更隨著消費者的喜好變化,不斷創新。
    With smart phones and the convenience of the Internet become increasingly popular, the birth of mobile communications software LINE, further strengthened the link between them of communication between people. Because of this, LINE''s business model is born out, and it changes and innovates as consumer preferences.
    The study uses the questionnaire survey procedure, by using data mining approach to the cluster analysis and association rules to discuss different possible business model developments. And by understanding customers use communications software LINE when exported which corresponding product portfolio and promotions will be introduced by appropriate recommend mechanisms. As for group buying, using the concept of Click-and-mortar of integration to seek LINE business opportunities from online to offline.
    The study found out that customers from different ages and career cluster, the communication of the reply to the response shows very different situations, promotional merchandise for your favorite type of pattern is also very different, so LINE can analyze the results for different customer clusters to develop an new generation of recommendation mechanism and business model, increase corporate profits source.
    Appears in Collections:[管理科學學系暨研究所] 學位論文

    Files in This Item:

    File Description SizeFormat

    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