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研究生: 王沈銘
Hsen-Ming Wang
論文名稱: 3C產品網路負面訊息回應方式及說服效果之研究
The Influence of Response Strategies to the Internet Negative Message of 3C Products
指導教授: 欒斌
Pin Luarn
口試委員: 盧希鵬
Hsi-Peng Lu
陳正綱
cheng-Kang Chen
學位類別: 碩士
Master
系所名稱: 管理學院 - 企業管理系
Department of Business Administration
論文出版年: 2007
畢業學年度: 95
語文別: 中文
論文頁數: 133
中文關鍵詞: 服務失誤、網路負面訊息、網路負面口碑、回應方式、說服效果
外文關鍵詞: Response Strategy, online Negative Message, service-failure, Online Negative Word-of-Mouth, persuasion result
相關次數: 點閱:312下載:21
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  • 當企業的產品與服務發生服務失誤時,會產生抱怨與不滿而導致顧客抱怨,顧客透過網路抒發不滿情緒,就容易形成網路負面訊息。以往的研究多偏重在面對負面公共報導或謠言時,企業的回應方式及效果或針對負面口碑或網路負面口碑內容對資訊搜尋者的影響。針對一般網友以不同的回應方式回應網路負面訊息時,對負面訊息提出者的說服效果之相關研究,並不多見。因此針對此領域作探索性的研究, 以利後續之研究。
    本研究以觀察法進行,實際觀察並記錄網路論壇會員面對網路負面訊息的互動行為的現況,觀察期間研究者與觀察員針對選定之網路論壇之負面訊息進行追蹤觀察並紀錄。檢視紀錄時,將有顯著異常的樣本予以排除,將紀錄再coding 成數據後,進行敘述性的統計分析及相關分析。
    本研究發現產品問題是引起網路負面訊息的主要原因。回應的數量與時機對網路負面訊息提出者的說服效果相關;不同的回應方式與網路訊息提出者的說服效果相關;不同回應方式的回應篇數彼此之間亦會相互影響;當網路負面訊息已有正負面的回應後,在後續的次篇回應方式亦會影響網路訊息提出者的說服效果,最後依據本研究之結論建立出一套流程圖,供企業作為管理網路負面訊息的參考。


    Product or service will cause customers complain when the service-failure happened, then customer will expresses discontented mood through the internet. Finally, it might be apt to form the online negative word-of mouth. Past research is focus on the influence of company response strategy to the negative public report or rumors, or the impact on the information searcher of online negative word-of mouth. But there is not too many studies focusing on persuasion result of the online negative message raiser different responses by way of the general respond message. This exploratory study is aimed at this field.

    In this study, it proposes an observation method to record the interaction of the internet negative message and the general respond message from particular forum and coding the record to the data. And proceed to the correlation analysis.

    There are some discoveries as follows,
    1.The quality of the products is the main reason that cause online negative message.
    2.The quantity and timing of the response are correlated with the persuasion result of the online negative message raiser.
    3.Different response will correlate with persuasion result of the online negative message raiser.
    4.The record of response of different responses will also influence each other each other.
    5.If the online negative message has already had response then second response will influence the persuasion result of the online negative message raiser also.
    Finally, set up a flow chart according to the conclusion of this study. It should be a reference for the online negative message management for enterprises.

    第一章 緒論 1 第一節 研究背景3 第二節 研究動機7 第三節 研究目的8 第四節 研究程序9 第二章 文獻探討10 第一節 服務失誤與客戶抱怨相關文獻探討11 第二節 口碑傳播與網路口碑的相關文獻探討22 第三節 回應策略的相關研究文獻探討27 第三章 研究方法33 第一節 研究架構34 第二節 研究設計35 第三節 測量變項與資料分析方法44 第四節 研究限制55 第四章 資料分析與研究發現56 第一節 樣本基本資料56 第二節 網路負面訊息的回應與說服效果的關聯性68 第三節 首篇回應與說服效果的關聯性75 第五章 結論與建議87 第一節 研究結論87 第二節 實務上的建議96 第三節 研究限制100 第四節 研究貢獻101 第五節 後續研究之建議102 參考文獻 103 中文部份103 英文部份104 附錄一網路論壇負面訊息討論串觀察記錄表110 附錄二網路論壇負面訊息討論串觀察注意事111 附錄三網路論壇負面訊息討論串紀錄coding手冊指南120 圖目錄 圖1-1 研究流程圖9 圖2-1 客戶抱怨行為分類模式16 圖2-2 郭崑謨和闕河士(1990)之客戶抱怨行為分類18 圖3-1 本研究架構架構圖34 圖6-1 網路負面訊息處理流程圖99 表目錄 表3-1 會員人數得分表37 表3-2 主題發表數量得分表38 表3-3 發表或回應日期得分表39 表3-4 討論區分類否明確得分表40 表3-5 網站屬性明顯之得分表41 表3-6 評選網站論壇之總得分表41 表4-1-1 論壇別之次數分配表57 表4-1-2 網路負面訊息原因別之次數分配表58 表4-1-3 負面訊息內容專業度之次數分配表59 表4-1-4 負面訊息發布者在論壇的資深程度之次數分配表61 表4-1-5 不同回應的方式之次數分配表62 表4-1-6 首篇回應方式之次數分配表63 表4-1-7-1 負面訊息發布後首篇回應的時機之次數分配表64 表4-1-7-2 首篇回應的時機論壇別之次數分配表65 表4-1-8 回應篇數之次數分配表66 表4-1-9-1 說服效果之次數分配表67 表4-1-9-2 明確回覆說服效果的論壇別之次數分配表67 表4-2-1 回應數量與說服效果之相關係數分析表68 表4-2-2 回應方式與說服效果之相關係數分析表74 表4-2-3 首篇回應相關變數與說服效果之相關係數分析表77 表4-3-1 首篇回應方式與說服效果之次數分配表78 表4-3-2 首篇加次篇回應方式與說服效果之次數分配表86 表5-1 面對首篇回應之次篇回應策略表95

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