English  |  正體中文  |  简体中文  |  Items with full text/Total items : 72271/72271 (100%)
Visitors : 23073575      Online Users : 579
RC Version 7.0 © 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://ir.lib.ncu.edu.tw/handle/987654321/71491

    Title: 以雙因子理論的觀點探討正負網路評論的有效性;The effectiveness of online review-the perspective of two-factor theory
    Authors: 張岳閔;Chang,Yueh-Min
    Contributors: 企業管理學系
    Keywords: 雙因子理論;負面偏誤;網路評論
    Date: 2016-07-11
    Issue Date: 2016-10-13 13:08:07 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 過去學者研究網路評論與消費者的關係的時候,常常探討的是消費者的涉入程度跟消費者的專家程度。故本研究希望藉由雙因子理論來探討產品屬性對消費者不同程度的重要會如何影響正負網路評論的有效性,同時也希望了解不同產品類別是否負面偏誤效果會有差距。研究結果指出,雙因子能夠部分調節負面偏誤的效果。而不同的產品類型的負面偏誤是沒有差距的。;Prior studies in online review about the relationship between online review and consumer usually focused on consumer′s involvement and expertise. This research will use the two-factor theory to study the different importance of different product attribute, and how the different importance influence the effectiveness of online review. At the same time, this research try to find out which product type has greater effect of negativity bias than the another. As a result, this research finds out that two-factor partially moderate the effect of negativity bias. And there′s no distance between the two product type on the effect of negativity bias.
    Appears in Collections:[企業管理研究所] 博碩士論文

    Files in This Item:

    File Description SizeFormat

    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback  - 隱私權政策聲明