博碩士論文 100423018 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:28 、訪客IP:18.226.200.93
姓名 簡聖洺(Sheng-ming Chien)  查詢紙本館藏   畢業系所 資訊管理學系
論文名稱 不同類型的社群媒體如何影響網路口碑可信度:以社群網站和部落格為例
相關論文
★ 網站設計探討—以國內外連鎖飯店集團為例★ 智慧型手機使用者介面與消費者態度之關聯
★ 零售業全通路策略分析 -以Family Mart為例★ 應用服務藍圖及顧客旅程優化汽車租賃業之服務流程: 以某汽車租賃業為例
★ 顧客對折扣促銷的評價-探討商店定價策略、促銷語意線索與折扣深度對消費者認知的影響★ 網路拍賣中外部線索的一致性:在不同的資訊不對稱程度下,起始價格以及賣方聲譽對於拍賣結果影響之探討。
★ 影響金融服務業之多重通路使用者評估通路整合性的因素★ 影響網路口碑行為意圖之因素分析
★ 在多通路環境中,實體通路的存在如何影響顧客決策★ 混合情緒操控與間接體驗產品途徑對消費者之影響-以創新產品為主
★ 服務業不同廣告型式的效果如何受消費者性別及代言人類型而改變★ 消費者於多通路環境下之跨通路搭便車行為之決定因素
★ 如何撰寫較好的網路口碑★ 探討線上環境中互動與故事對廣告效果之影響
★ 不同決策特質與搜尋時間壓力下部落格設計與使用者滿意度之探討★ 主購社群關係與主購經驗分享對網路合購行為因素影響之探討
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 ( 永不開放)
摘要(中) 社群媒體的應用越來越流行,除了可以幫助消費者交流彼此的想法,也為企業和品牌帶來無限商機,因此,本研究想了解影響網路口碑可信度的主要因素。明確而言,在社會臨場感程度不同的社群媒體上,網路口碑訊息特性對網路口碑可信度的影響;以及涉入程度的不同時社會關係強度如何影響網路口碑可信度;最後進而探討對網路口碑可信度的重要性。本研究使用主要影響消費者購買決策的平台(部落格)以及目前最大的社群網站(臉書)來做比較和了解。
本研究採用實驗法,透過不同情境的模擬來了解訊息接收者如何評估網路口碑可信度,本實驗方法採用2 (訊息正負性:正面/負面) × 2 (訊息面向性:單/雙面) × 2 (社群媒體:部落格/臉書) × 2 (關係強度:高/低) × 2 (涉入程度:高/低) 受試者間實驗設計,其中涉入程度由衡量而來,並選擇以經驗性產品的評論來觀察。最後本研究結果為:訊息的負面口碑比正面口碑影響大,雙向的網路口碑評論有較高的網路口碑可信度,以及社群網站比部落格有較高的網路口碑可信度,且在訊息正負性與網路口碑可信度的關係中有調節效果,而關係強度對網路口碑可信度有正向效果。
摘要(英) The application of social media has become popular; in addition to helping consumers exchange opinions and improve communications, it also brings businesses and brands unlimited business opportunities. Therefore, this study is to understand the factors that influence eWOM credibility. Specifically, this study explores the influence of messages from different social media with different levels of social presence, and the influence of tie strength in different involvement levels. Finally, the importance of the eWOM credibility is discussed. This study uses the blog and Facebook for comparison and to understand their impacts.
This research model is tested to understand how recipients evaluate the eWOM credibility. We conducted a 2 (valence: positive/negative) × 2 (sidedness: two-sided/one-sided) × 2 (social media: Blog/Facebook) × 2 (tie strength: strong/weak) × 2 (involvement: high/low) between-subjects experiment design and measured the level of involvement. The results show that negative eWOM message and two-sided eWOM message produce higher eWOM credibility; messages from Facebook have the higher eWOM credibility than those from the Blog; moreover, social media will moderate the influence of message valence on the eWOM credibility. The greater tie strength between the sender and the receiver brings the higher eWOM credibility. Finally, this research provides some managerial implications and directions for further research.
關鍵字(中) ★ 社群媒體
★ 社會臨場感
★ 涉入程度
★ 關係強度
★ 網路口碑可信度
關鍵字(英) ★ Social media
★ social presence
★ involvement
★ tie strength
★ eWOM credibility
論文目次 摘要 i
Abstract ii
目錄 iv
圖目錄 vi
表目錄 vii
一、緒論 1
1-1 研究背景 1
1-2 研究動機 2
1-3 研究目的 5
二、文獻探討 6
2-1 網路口碑可信度 6
2-2 網路口碑訊息 8
2-2-1 訊息正負性 9
2-2-2 訊息面向 11
2-3 社群媒體 13
2-4 關係強度 15
2-5 涉入程度 17
三、研究方法 20
3-1 研究架構 20
3-2 研究設計 20
3-3 變數定義與衡量 22
四、資料分析 25
4-1 樣本結構 25
4-2 信度及效度分析 26
4-3 操弄檢定 27
4-4 假說檢驗 29
五、結論與建議 32
5-1 研究結論 32
5-2 管理意涵 35
5-3 研究限制與未來方向 38
六、參考文獻 39
參考文獻 [1] Bristor, Julia M. (1990). Enhanced explanations of word of mouth communications: the power of relationships. Research in consumer behavior, 4(1), 51-83.
[2] Brown, Jacqueline Johnson, & Reingen, Peter H. (1987). Social ties and word-of-mouth referral behavior. Journal of Consumer Research, 350-362.
[3] Burt, Ronald S. (1987). Social contagion and innovation: Cohesion versus structural equivalence. American journal of Sociology, 1287-1335.
[4] Carrasco, Juan Antonio, & Miller, Eric J. (2006). Exploring the propensity to perform social activities: a social network approach. Transportation, 33(5), 463-480.
[5] Chen, Huaping, Sia, Choon Ling, Luo, Chuan, & Cheung, Man Yee. (2009). Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-line Consumer Recommendations. International Journal of Electronic Commerce, 13(4), 9-38. doi: 10.2753/jec1086-4415130402
[6] Cheng, Xiufang, & Zhou, Meihua. (2010a). Empirical Study on Credibility of Electronic Word of Mouth. Paper presented at the Management and Service Science (MASS), 2010 International Conference on.
[7] Cheng, Xiufang, & Zhou, Meihua. (2010b). Study on effect of ewom: A literature review and suggestions for future research. Paper presented at the Management and Service Science (MASS), 2010 International Conference on.
[8] Cheung, Christy M. K., & Thadani, Dimple R. (2012). The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision Support Systems, 54(1), 461-470. doi: 10.1016/j.dss.2012.06.008
[9] Cheung, Christy M. K., Xiao, Bo, & Liu, Ivy L. B. (2012). The Impact of Observational Learning and Electronic Word of Mouth on Consumer Purchase Decisions: The Moderating Role of Consumer Expertise and Consumer Involvement. 3228-3237. doi: 10.1109/hicss.2012.570
[10] Chu, S. C., & Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1), 47. doi: 10.2501/ija-30-1-047-075
[11] de Vries, Lisette, Gensler, Sonja, & Leeflang, Peter SH. (2012). Popularity of brand posts on brand fan pages: an investigation of the effects of social media marketing. Journal of Interactive Marketing, 26(2), 83-91.
[12] Doh, S. J., & Hwang, J. S. (2009). How consumers evaluate eWOM (electronic word-of-mouth) messages. Cyberpsychol Behav, 12(2), 193-197. doi: 10.1089/cpb.2008.0109
[13] Duhan, Dale F, Johnson, Scott D, Wilcox, James B, & Harrell, Gilbert D. (1997). Influences on consumer use of word-of-mouth recommendation sources. Journal of the Academy of Marketing Science, 25(4), 283-295.
[14] Frenzen, Jonathan K, & Davis, Harry L. (1990). Purchasing behavior in embedded markets. Journal of Consumer Research, 1-12.
[15] Granovetter, Mark S. (1973). The strength of weak ties. American journal of sociology, 1360-1380.
[16] Gupta, Pranjal, & Harris, Judy. (2010). How e-WOM recommendations influence product consideration and quality of choice: A motivation to process information perspective. Journal of Business Research, 63(9-10), 1041-1049. doi: 10.1016/j.jbusres.2009.01.015
[17] Hassanein, Khaled, & Head, Milena. (2006). The impact of infusing social presence in the web interface: An investigation across product types. International Journal of Electronic Commerce, 10(2), 31-55.
[18] Homer, Pamela M, & Yoon, Sun-Gil. (1992). Message framing and the interrelationships among ad-based feelings, affect, and cognition. Journal of Advertising, 19-33.
[19] Huang, Peng, Lurie, Nicholas H, & Mitra, Sabyasachi. (2009). Searching for experience on the web: an empirical examination of consumer behavior for search and experience goods. Journal of Marketing, 73(2), 55-69.
[20] Kamins, Michael A, & Assael, Henry. (1987). Two-sided versus one-sided appeals: A cognitive perspective on argumentation, source derogation, and the effect of disconfirming trial on belief change. Journal of marketing Research, 29-39.
[21] Kaplan, Andreas M., & Haenlein, Michael. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons, 53(1), 59-68. doi: 10.1016/j.bushor.2009.09.003
[22] Kim, Angella J., & Ko, Eunju. (2012). Do social media marketing activities enhance customer equity? An empirical study of luxury fashion brand. Journal of Business Research, 65(10), 1480-1486. doi: 10.1016/j.jbusres.2011.10.014
[23] Kozinets, Robert V, De Valck, Kristine, Wojnicki, Andrea C, & Wilner, Sarah JS. (2010). Networked narratives: Understanding word-of-mouth marketing in online communities. Journal of marketing, 74(2), 71-89.
[24] Lasswell, Harold D. (1948). The structure and function of communication in society. The communication of ideas, 37.
[25] Lee, Doohwang, Kim, Hyuk Soo, & Kim, Jung Kyu. (2012). The role of self-construal in consumers’ electronic word of mouth (eWOM) in social networking sites: A social cognitive approach. Computers in Human Behavior, 28(3), 1054-1062. doi: 10.1016/j.chb.2012.01.009
[26] Lee, Jumin, Park, Do-Hyung, & Han, Ingoo. (2008). The effect of negative online consumer reviews on product attitude: An information processing view. Electronic Commerce Research and Applications, 7(3), 341-352.
[27] Li, Peter Ping. (2007). Social tie, social capital, and social behavior: Toward an integrative model of informal exchange. Asia Pacific Journal of Management, 24(2), 227-246.
[28] Nelson, Phillip. (1974). Advertising as information. The Journal of Political Economy, 82(4), 729-754.
[29] Okazaki, Shintaro. (2013). Social media and international advertising: theoretical challenges and future directions. International Marketing Review, 30(1), 56-71. doi: 10.1108/02651331311298573
[30] Park, Cheol, & Lee, Thae Min. (2009). Information direction, website reputation and eWOM effect: A moderating role of product type. Journal of Business Research, 62(1), 61-67. doi: 10.1016/j.jbusres.2007.11.017
[31] Park, Do-Hyung, Lee, Jumin, & Han, Ingoo. (2007). The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement. International Journal of Electronic Commerce, 11(4), 125-148.
[32] Söderlund, Magnus, & Rosengren, Sara. (2007). Receiving word-of-mouth from the service customer: An emotion-based effectiveness assessment. Journal of retailing and consumer services, 14(2), 123-136.
[33] Sher, Peter J, & Lee, Sheng-Hsien. (2009). Consumer skepticism and online reviews: An elaboration likelihood model perspective. Social Behavior and Personality: an international journal, 37(1), 137-143.
[34] Skowronski, John J, & Carlston, Donal E. (1989). Negativity and extremity biases in impression formation: A review of explanations. Psychological bulletin, 105(1), 131.
[35] Sundaram, Dinesh S, Mitra, Kaushik, & Webster, Cynthia. (1998). Word-of-mouth communications: a motivational analysis. Advances in consumer research, 25(1), 527-531.
[36] Svensson, A. (2011). Facebook ─ the social newspaper that never sleeps. University of Gothenburg, Sweden.
[37] Sweeney, Jillian C, Soutar, Geoffrey N, & Mazzarol, Tim. (2005). The difference between positive and negative word-of-mouth—emotion as a differentiator. Paper presented at the Proceedings of the ANZMAC 2005 Conference: Broadening the Boundaries.
[38] Sweeney, Jillian C, Soutar, Geoffrey N, & Mazzarol, Tim. (2008). Factors influencing word of mouth effectiveness: receiver perspectives. European Journal of Marketing, 42(3/4), 344-364.
[39] Trusov, Michael, Bucklin, Randolph E, & Pauwels, Koen. (2009). Effects of word-of-mouth versus traditional marketing: Findings from an internet social networking site. Journal of marketing, 73(5), 90-102.
[40] Turban, Efraim, Li, Yu-Wen, Ho, Yi-Ting, & Liang, Ting-Peng. (2011). What Drives Social Commerce: The Role of Social Support and Relationship Quality. International Journal of Electronic Commerce, 16(2), 69-90. doi: 10.2753/jec1086-4415160204
[41] Vilpponen, Antti, Winter, Susanna, & Sundqvist, Sanna. (2006). Electronic word-of-mouth in online environments: exploring referral network structure and adoption behavior. Journal of Interactive Advertising, 6(2), 71-86.
[42] Wang, Xia, Yu, Chunling, & Wei, Yujie. (2012). Social Media Peer Communication and Impacts on Purchase Intentions: A Consumer Socialization Framework. Journal of Interactive Marketing, 26(4), 198-208. doi: 10.1016/j.intmar.2011.11.004
[43] Zaichkowsky J. L. (1985). Measuring the involvement construct. Journal of Consumer Research, 12(3), 341-352.
[44] Zaichkowsky, J. L. (1994). The personal involvement inventory: Reduction, revision, and application to advertising. Journal of advertising, 59-70.
[45] 殷健翔 (2011)。網路口碑對線上應用程式的購買意圖之影響-以Apple App Store為例。中央大學資訊管理所博士論文
指導教授 謝依靜(Yi-Ching Hsieh) 審核日期 2013-6-28
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明