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研究生: 吳梓毓
Wu, Tzu-Yu
論文名稱: 網路影音廣告之廣告內容、網頁相關性與廣告涉入對廣告效果之影響
The influence from advertisement content, Web page affinity, and involvement with advertisement to online video advertisement
指導教授: 蔡惠婷
Tsai, Huei-Ting
學位類別: 碩士
Master
系所名稱: 管理學院 - 國際企業研究所
Institute of International Business
論文出版年: 2015
畢業學年度: 103
語文別: 中文
論文頁數: 66
中文關鍵詞: 網路影音廣告廣告內容廣告與網頁相關性廣告涉入
外文關鍵詞: Online video advertisement, Advertisement content, Web page affinity, Involvement with advertisement
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  • 近年來,由於網路普及,加上桌上型電腦、筆電、智慧型手機與平板電腦的開發,網路廣告已逐漸成為接觸受眾的主要媒介之一。2013年,市調公司尼爾森推出美國電視新的收視率標準,將電腦、手機等第二螢幕之廣告曝光視為傳統收視率之輔助,亦顯示了消費者轉移至線上平台的現象。根據2013年研究機構Macquarie Equities的報告顯示,相較於傳統電視廣告,線上影音廣告不僅能鎖定目標客群,能使受眾更能記住品牌名稱與廣告資訊,加上近年來社群網站的發展,影音不僅擁有曝光通路,更能利用社群網站之互動性與分享,發展其他行銷策略。
    然而針對過去廣告相關文獻進行探討後,發現根據抗拒理論(Brehm & Brehm, 1966),閱聽眾在使用網路時,因被突然切入的廣告打斷原先進行的程序,會使人們感到自由受到剝奪,而產生心理抗拒與規避行為,降低廣告的說服效果。本研究以上述二種不同之看法為過去研究之文獻缺口,以廣告內容之資訊性與娛樂性、及閱聽眾正在瀏覽之網頁與廣告之相關性為自變數,並加入消費者之涉入程度為調節變數,試圖探討網路影音廣告之效果。
    本研究針對16至30歲的年輕族群進行問卷發放後,共蒐集到516份有效問卷,經迴歸分析後歸結出以下結論。第一,網路影音廣告內容之娛樂性會正向影響閱聽眾之廣告態度,並降低規避行為;第二,網音廣告內容之資訊性不一定影響閱聽眾之廣告態度,但確實會產生干擾效果;第三,網路影音廣告內容與網頁之相關性較高時,廣告態度趨於正面,亦較不會產生規避行為;第四,當廣告內容的娛樂性較低時,高涉入程度可產生正面的廣告態度,但無法影響閱聽眾的規避行為;第五,當廣告內容的資訊性較低時,高涉入程度可產生正面的廣告態度,但不一定影響閱聽眾的規避行為。第六,當廣告內容與網頁低度相關時,高涉入程度可產生正面的廣告態度,但不一定閱聽眾的規避行為。

    With the development of Internet and “the second screen” (which includes tablet, notebook and smartphone), more and more consumers are exposed to the advertisements through the Internet. In recent years, a lot of studies showed that the online video advertisements can increase the opportunity of watching, build positive brand image and enhance the memory of advertisement information. On the contray, other researchers think, the poping up of the advertisements that is unexpected for the audience will cause advertisement irritation at the same time. In order to understand the gap of previous researches, this study uses the advertisement content, web page affinity and involvement with advertisement to test the advertisement effects. Through factor analysis, reliability analysis and regression analysis, the results indicate that the content of the advertisements do influence the effect of online video advertisements but in different ways. First, the ad with entertainment content will pose positive attitude to the audience, and reduce the avoidance behavior. Second, the ad with information will not influence the attutide of advertisements but do cause irritation. Third, when the affinity between the ad and the content of what consumers are surfing is high, people will have positive attitude and reduce their avoidance. Forth, when the entertainment contents or informative content of the ad is less, high involvement of the audiences will make positive attitude, but may not reduce the avoidance behabior. Fifth, once the affinity between the advertisement and the web page are low, the high involvement of the advertisements can increase positive advertisement attitude but may not really lower the opportunities of avoidance.

    中文摘要 i Abstract iii 目錄 vii 圖目錄 viii 表目錄 ix 第一章 緒論 1 第一節 研究背景 1 第二節 文獻回顧與缺口 2 第三節 研究動機與目的 3 第四節 研究步驟 6 第二章 文獻探討 7 第一節 網路影音廣告 7 第二節 廣告內容 8 第三節 廣告與網頁內容相關性 10 第四節 廣告涉入 13 第五節 廣告效果 14 第三章 研究方法 16 第一節 研究架構 16 第二節 各構面之相互關係 17 第三節 研究設計 19 第四節 變數操作性定義與衡量 20 第五節 資料分析與方法 24 第四章 資料分析結果 26 第一節 樣本資料分析 26 第二節 敘述性統計分析 27 第三節 因素分析與信度分析 31 第四節 迴歸分析 40 第五章 結論與建議 52 第一節 研究結果與討論 52 第二節 理論與實務貢獻 55 第三節 研究限制 57 第四節 未來研究建議 58 參考文獻 59

    一、 中文部分
    李坤遠(1996),「訊息涉入,廣告主可信度,廣告訴求方式與廣告溝通效果關係之研究」,交通大學管理科學研究所碩士論文。
    谷雅慧、林建煌、范錚強(1997),資訊呈現方式對網路行銷廣告效果之研究:以實驗法探討WWW網路購物情境,資訊管理研究,1(2),pp.1-23。
    吳萬益、林清河(2000),企業研究方法,華泰書局。
    洪靖雯(2004),「品牌知名度與廣告涉入程度對廣告溝通效果影響之研究」,淡江大學國際貿易學系碩士論文。
    陳之凡(2011),「廣告音樂一致性及涉入度對廣告效果的影響」,交通大學傳播研究所碩士論文。
    陳名璋(1998),網路廣告呈現方式對廣告效果之影響,國立中央大學資訊管理學系研究所碩士論文。
    陳民璋 (1998) ,「網路廣告呈現方式對廣告效果之影響」,國立中央大學資訊管理研究所碩士論文碩士論文。
    徐育芳 (2002),「不同涉入程度與品牌知名度對比喻性廣告之廣告效果影響」,國立台北大學企業管理學系碩士論文。
    陶蓓麗、程瑞南(2006),網路購物消費者價值對消費者關係品質的影響之實証研究,中山管理評論,第十四卷,第二期:517-549頁。
    許世育(1999) ,「網路廣告效果知研究-對不同使用者類型與不同網站類型之探討」,台科大管理研究所企業管理學程碩士論文。
    彭兆綺(2012),「以心流理論探討網路影音廣告效果之研究-以非營利組織廣告為例」,世新大學廣播電視電影學研究所碩士論文。
    鄭安婷(2007),「VIX 指數之動態相關性與預測能力研究」,國立交通大學管理科學系所碩士論文。
    蔡佩姍(2004),「以消費者體驗觀點探討商店氣氛,消費者情緒與意象之關係─以北區購物中心為例」, 國立嘉義大學行銷與流通管理研究所碩士論文。
    蔣受傑(2011),「網路影音廣告閱聽者的動機、態度、行為與廣告效果之研究」,中山大學企業管理學系研究所碩士論文。
    二、 英文部分
    Aaker, D. A., & Bruzzone, D. E. (1985). Causes of Irritation in Advertising. Journal of Marketing, 49(2), 47-57.
    Aaker, D. A., & Stayman, D. M. (1990). Measuring Audience Perceptions of Commercials and Relating Them to Ad Impact. Journal Of Advertising Research, 30(4), 7-18.
    Abernethy, A. M. (1990). Television Exposure: Programs vs. Advertising. Current Issues & Research In Advertising, 13(1), 61.
    Bauer, R. A., & Greyser, S. A. (1967). The dialogue that never happens. Harvard Business Review, 45(6), 2-190.
    Berger, J., & Milkman, K. L. (2012). What Makes Online Content Viral??. Journal of Marketing Research (JMR), 49(2), 192-205.
    Bezjian-Avery, A., Calder, B., & Iacobucci, D. (1998). New Media Interactive Advertising vs. Traditional Advertising. Journal of Advertising Research, 38(4), 23-32.
    Brehm, J. W. (1989). Psychological Reactance: Theory and Applications. Advances In Consumer Research, 16(1), 72-75.
    Cacioppo, J. T., & Petty, R. E. (1980). Persuasiveness of Communications Is Affected by Exposure Frequency and Message Quality: A Theoretical and Empirical Analysis of Persisting Attitude Change. Current Issues & Research In Advertising, 3(1), 97.
    Cacioppo, J. T., & Petty, R. E. (1984). The Elaboration Likelihood Model of Persuasion. Advances In Consumer Research, 11(1), 673-675.
    Clancey, M. (1994). The Television Audience Examined. Journal of Advertising Research, 34(4), 76.
    Clee, M. A., & Wicklund, R. A. (1980). Consumer Behavior and Psychological Reactance. Journal of Consumer Research, 6(4), 389-405.
    Deitz, G. D., Myers, S. W., & Stafford, M. R. (2012). Understanding Consumer Response to Sponsorship Information: A Resource-Matching Approach. Psychology & Marketing, 29(4), 226-239.
    Distaso, M. W., McCorkindale, T., & Agugliaro, A. (2015). America's Most Admired Companies Social Media Industry Divide. Journal Of Promotion Management, 21(2), 163-189.
    Ducoffe, R. H. (1995). How Consumers Assess the Value of Advertising. Journal of Current Issues & Research In Advertising (CTC Press), 17(1), 1.
    Ducoffe, R. H. (1996). Advertising Value and Advertising the Web. Journal of Advertising Research, 36(5), 21-35.
    Edwards, S. M., Li, H., & Lee, J. (2002). Forced Exposure and Psychological Reactance: Antecedents and Consequences of the Perceived Intrusiveness of Pop-Up Ads. Journal of Advertising, 31(3), 83-95.
    Friestad, M., & Wright, P. (1994). The Persuasion Knowledge Model: How People Cope with Persuasion Attempts. Journal of Consumer Research, 21(1), 1-31.
    Grover, R., & Fine, J. (2006). The Sound of Many Hands Zapping. Businessweek, (3985), 38.
    Ha, L. (1996). Observations: Advertising Clutter in Consumer Magazines: Dimensions and Effects. Journal of Advertising Research, 36(4), 76-84.
    Hawkins. (1994). Electronic Advertising: On Online Information Systems. ONLINE, March
    Hoffman, Donna L. and Thomas P. Novak (1996), “Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations,” Journal of Marketing, 60 (July), 50–68.
    Hsieh, J., Hsieh, Y., & Tang, Y. (2012). Exploring the disseminating behaviors of eWOM marketing: persuasion in online video.Electronic Commerce Research, 12(2), 201-224.
    Hudson, A. (2014). Internet marketing for contractors. Plumbing & Mechanical, 32(7), 64-66.
    Hung, K. (2000). Narrative Music in Congruent and Incongruent TV Advertising. (English). Journal of Advertising, 29(1), 25-34.
    Jiyoung, C. (2013). Do Online Video Platforms Cannibalize Television?: How Viewers Are Moving from Old Screens to New Ones.Journal of Advertising Research, 53(1), 71-82.
    Johnson, R. L., & Cobb-Walgren, C. J. (1994). Aging and the Problem of Television Clutter. Journal of Advertising Research, 34(4), 54-62.
    Kellaris, J. J., Cox, A. D., & Cox, D. (1993). The Effect of Background Music on Ad Processing: A Contingency Explanation. Journal of Marketing, 57(4), 114.
    Krugman, H. E. (1965). The Impact of Television Advertising: Learning without Involvement. Public Opinion Quarterly, 29(3), 349-356.
    Krugman, H. E. (1983). Television Program Interest and Commercial Interruption. Journal of Advertising Research, 23(1), 21-23.
    Laczniak, R. N., Muehling, D. D., & Grossbart, S. (1989). Manipulating Message Involvement in Advertising Research. Journal of Advertising, 18(2), 28-38.
    Larsen, V., Luna, D., & Peracchio, L. A. (2004). Points of View and Pieces of Time: A Taxonomy of Image Attributes. Journal of Consumer Research, 31(1), 102-111.
    Lastovicka, J. L., & Gardner, D. M. (1978). Low Involvement Versus High Involvement Cognitive Structures.Advances In Consumer Research, 5(1), 87-92.
    Lavack, A. M., Thakor, M. V., & Bottausci, I. (2008). Music-brand Congruency in High- and Low-cognition Radio Advertising.International Journal of Advertising, 27(4), 549-568.
    Lavidge, R. J., & Steiner, G. A. (1961). A Model for Predictive Measurements of Advertising Effectiveness. Journal of Marketing,25(6), 59-62.
    Lee, J., Ham, C., & Kim, M. (2013). Why People Pass Along Online Video Advertising: From the Perspectives of the Interpersonal Communication Motives Scale and the Theory of Reasoned Action. Journal of Interactive Advertising, 13(1), 1-13.
    Lutz, R. J., & Swasy, J. L. (1977). Intergrating Cognitive Structure and Cognitive Response Approachs to Monitoring Communications Effects. Advances In Consumer Research, 4(1), 363-371.
    Madden, C. S. (2007). Marketing Audit Assignments as a Source of Nonprofit Classroom Decision Cases. Society For Marketing Advances Proceedings, 69-72.
    MacKenzie, S. B., Lutz, R. J., & Belch, G. E. (1986). The Role of Attitude Toward the Ad as a Mediator of Advertising Effectiveness: A Test of Competing Explanations. Journal of Marketing Research (JMR), 23(2), 130-143.
    Mehta, A. (1999). Using Self-Concept to Assess Advertising Effectiveness. Journal of Advertising Research, 39(1), 81-89.
    Miniard, P. W., Bhatla, S., Lord, K. R., Dickson, P. R., & Unnava, H. R. (1991). Picture-based Persuasion Processes and the Moderating Role of Involvement. Journal of Consumer Research, 18(1), 92-107.
    Moore, R. S., Stammerjohan, C. A., & Coulter, R. A. (2005). Banner Advertiser--Web Site Context Congruity and Color Effects on Attention and Attitudes. Journal of Advertising, 34(2), 71-84.
    Moschis, G. P. (1976). Social Comparison and Informal Group Influence. Journal of Marketing Research (JMR), 13(3), 237-244.
    Muehling, D., Laczniak, R., & Stoltman, J. J. (1991). The Moderating Effects of Ad Message Involvement: A Reassessment. Journal of Advertising, 20(2), 29-38.
    Park, C. W., & McClung, G. W. (1986). The Effect of TV Program Involvement on Involvement with Commercials.Advances In Consumer Research, 13(1), 544-548.
    Pashkevich, M., Dorai-Raj, S., Kellar, M., & Zigmond, D. (2012). Empowering Online Advertisements by Empowering Viewers with the Right to Choose The Relative Effectiveness of Skippable Video Advertisements on YouTube. Journal of Advertising Research, 52(4), 451-457.
    Priluck, R., & Till, B. D. (2004). The Role of Contingency Awareness, Involvement, and Need for Cognition in Attitude Formation.Journal Of The Academy of Marketing Science, 32(3), 329-344.
    Robbin Zeff & Brad Aronson (1997) Advertising on the Internet,New York : Wiley Computer Publishing.
    Schlosser, A. E., White, T. B., & Lloyd, S. M. (2006). Converting Web Site Visitors into Buyers: How Web Site Investment Increases Consumer Trusting Beliefs and Online Purchase Intentions. Journal of Marketing, 70(2), 133-148.
    Sherman, L., & Deighton, J. (2001). Banner Advertising: Measuring Effectiveness and Optimizing Placement.Journal of Interactive Marketing (John Wiley & Sons), 15(2), 60-64.
    Soldow, G. F., & Principe, V. (1981). Response to Commercials as a Function of Program Context. Journal of Advertising Research,21(2), 59-65.
    Song, J. H., & Zinkhan, G. M. (2008). Determinants of Perceived Web Site Interactivity. Journal of Marketing, 72(2), 99-113.
    Teixeira, Thales, Michel Wedel, and Rik Pieters (2010), “Momentto- Moment Optimal Branding in TV Commercials: Preventing Avoidance by Pulsing,” Marking Science, 29 (5), 783–804.
    Teixeira, T., Wedel, M., & Pieters, R. (2012). Emotion-Induced Engagement in Internet Video Advertisements. Journal of Marketing Research (JMR), 49(2), 144-159.
    Teixeria, T. S., & Stipp, H. (2013). What's So Funny about Tracking Reactions to Humor?. Journal of Advertising Research, 53(3), 286-296.
    Webb, P. H., & Ray, M. L. (1979). Effects of TV Clutter. Journal of Advertising Research, 19(3), 7-12.
    Winston, A. B., D. O. Stahl, and S. Y. Choi (1997), the Economics of Electronic Commerce, Indianapolis: Macmillan Technical Publishing.
    Wolin, L. D., Korgaonkar, P., & Lund, D. (2002). Beliefs, attitudes and behaviour towards Web advertising. International Journal of Advertising, 21(1), 87-113.
    Yu, H., & Chang, Y. (2013). How to Influence the Brand Attitude of the Audience by Micro-Films. Journal of Promotion Management,19(5), 674-686.
    Zaichkowsky, J. L. (1985). Measuring the Involvement Construct. Journal of Consumer Research, 12(3), 341-352.
    Zaichkowsky, J. L. (1987). The Emotional Aspect of Product Involvemnt. Advances In Consumer Research, 14(1), 32-35.
    Zhang, Y. (1996). The Effect of Humor in Advertising: An Individual-Difference Perspective. Psychology & Marketing, 13(6), 531-545.
    三、 網頁部分
    2013全年度台灣整體市場量達136.8億(2013年6月10日)。台北市數位行銷經營協會(DMA)。取自:http://www.dma.org.tw/Bulletin/NewsDel/203
    2015數位行銷趨勢之七:影音制霸,衡量標的新誕生(2014年12月17日)。Yahoo奇摩。取自:https://marketing.tw.campaign.yahoo.net/emarketing/main/A01/B02?id=1502
    Thales Teixeira(2013, June)。How to Profit from “Lean Advertising”? Harvard Business Review。from the World Wide Web: http://www.hbrtaiwan.com/article_content_AR0002359.html
    王秀芬(2011年6月29日)。網路社群媒體發展分析。MIC研究報告。取自:http://mic.iii.org.tw/aisp/reports/reportdetail_register.asp?docid=2965&rtype=freereport
    台灣影音市場消費者洞察報告(2013年12月19日)。Yahoo奇摩。取自:https://marketing.tw.campaign.yahoo.net/emarketing/main/A06/B02?id=979
    白詩瑜(2012年12月26日)。尼爾森加推特,翻轉收視率調查。天下雜誌。取自:http://www.cw.com.tw/article/article.action?id=5045906
    媒體研究(2011年12月)。尼爾森(Nielsen)。取自:http://www.magazine.org.tw/ImagesUploaded/news/13254924277830.pdf
    鄭緯筌(2011年6月28日)。2011年全球行動廣告營收預計達33億美元。數位時代。取自:http://www.bnext.com.tw/article/view/id/19077

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