博碩士論文 107423001 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:64 、訪客IP:13.58.139.55
姓名 黎永豪(Yung-Hao Li)  查詢紙本館藏   畢業系所 資訊管理學系
論文名稱 探討觀眾持續觀看及購買意圖之影響因素—以YouTube業配影片為例
相關論文
★ 半導體二手設備之行銷策略-以應用材料公司為例★ 從創新擴散角度探討新科技技術行銷策略之影響 —以全球資訊大廠推廣Web Services為例
★ 企業多角化經營策略之研究 ─以某機構拓展資訊應用服務市場為例★ 汽車產業網站行銷之應用與效益探討研究-以N品牌為例
★ 系統整合業轉型策略之探討--以A公司為例★ 顧客關係管理系統導入之研究-以A、B公司為例
★ 策略聯盟個案分析 - 以台灣光碟機廠商為例★ 資訊教育訓練機構的轉型策略 —以某資訊教育機構為例
★ 組織文化及組織承諾對組織變革影響之研究- 以外商銀行與本國銀行資訊部門為例★ 高階資訊教育市場行銷策略與會員制度之研究-資訊教育產業為例
★ 探討平衡計分卡在售前技術支援部門績效管理的運用 - 以外商資訊科技公司為例★ 軟體行銷策略與競爭優勢分析-以全球二家資訊大廠為例
★ 綠色供應鏈管理研究-以A公司為例★ 企業專案管理系統 - 提升專案即時資訊透通性及其效益分析
★ 金融軟體專案管理導入國際專案管理師(PMP)專案管理機制之效益分析★ 企業轉型與其資源基礎之關係研究及轉型策略之發展-以M公司為例
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]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 隨著網路科技的發展,廣告的發展從傳統的文字走向網路影音。而「業務配合」一詞,是台灣媒體業中對於業務與「配合」的簡稱,又稱業配,屬於置入性行銷。隨著社群媒體不斷的發展,YouTube已是許多廠商選擇業配的平台之一,廣告已轉變為網路影音行銷模式。而廣告最重要的目的在於最終能達成消費者購買的行為,而YouTube業配影片是其中一種方式,故引發本研究探討的動機。
透過整理歸納過去文獻,本研究使用廣告態度模型作為主架構解釋對廣告的態度,主要變數包括YouTuber可信度、對YouTuber態度及對業配影片態度,並加入購買意圖及持續觀看意圖變數作為模型延伸探討其後續行為意圖,最後再觀察三個廣告價值變數(娛樂性、可信性及干擾性) 在其中是否具中介效果,瞭解廣告價值的影響。本研究採網路問卷的方式進行調查,發放於Facebook 社群平台並回收了223份樣本。
資料分析結果顯示,YouTuber的可信度對YouTuber的態度有正向影響;觀眾對YouTuber的態度會正向影響對業配影片的態度;觀眾對YouTuber的態度及對業配影片的態度均會對持續觀看意圖有正向影響;觀眾對業配影片的態度也會對購買意圖有正向影響;而廣告價值的三個變數對主架構的中介影響均顯著。
最後提出本研究的建議,期望能夠幫助YouTuber及透過YouTuber行銷的業者瞭解影響觀眾購買意圖及持續觀看意圖的因素,針對這些影響因素提出更好的建議,協助影音行銷的發展。
摘要(英) With the development of Internet technology, the development of advertising has shifted from the traditional mode of text message to the video over the Internet. And the term "adver-torial” " is a blend of the words “advertisement” and “editorial”, otherwise known as “advertori-al” used in Taiwan media. It belongs to the category of placement marketing.
With the continuous development of social media, YouTube has become one of the plat-forms that many manufacturers choose for advertorial, and the advertising has turned into a model of online video marketing.
The most important purpose of advertising is to lead to consumer purchases, and the spon-sored video on YouTube is one of its channels to such an achievement, which is the motive of this study.
By sorting out and summarizing the past literature, this study uses the attitude-toward-the-ad model as the main framework to explain the attitude towards advertising. The key variables include the credibility of YouTuber, the attitude towards YouTuber, and the attitude towards sponsored videos. Moreover, the variables of purchase intention and the intention to continuous watching are added as an extension of the model, to further explore the subsequent behavioral intention. Finally, we observe whether the three advertising value variables (entertaining, credi-bility and interference) have an intermediary effect, to understand the influence of advertising value. This study conducts its surveys through online questionnaires, which are distributed via social media platform on Facebook and 223 samplings are recovered.
Data analysis results show that the credibility of YouTuber has a positive influence on the attitude towards YouTuber; the audience’s attitude towards YouTuber will positively affect their attitude towards sponsored videos; the audience’s attitude towards YouTuber and sponsored vid-eos will all have a positive influence on the intention to continuous watching, and audience’s attitude towards sponsored videos also has a positive influence on purchasing intention; and the three variables of advertising value have a significant influence on the intermediary effect in the main framework.
Finally, we put forward the suggestions of this research, hoping that to help the internet ce-lebrity and the professionals of influencer marketing to understand the factors that influence au-dience’s purchasing intention and their intention to continue to watch the sponsored videos. And then, we put forward better suggestions concerning these influencing factors to assist the devel-opment of video marketing.
關鍵字(中) ★ 業配
★ 影音行銷
★ 廣告態度模型
★ 理性行為理論
★ 持續觀看意圖
★ 購買意圖
關鍵字(英) ★ Media Advertorial
★ Video Marketing
★ Attitude towards the Ad Model
★ TRA
★ Continuance watching intention
★ Purchase intention
論文目次 目錄
摘要 i
ABSTRACT ii
目錄 iv
圖目錄 vi
表目錄 vii
第一章 緒論 1
1-1 研究背景及動機 1
1-2 研究目的 4
第二章 文獻回顧 6
2-1 YouTuber的可信度及來源 6
2-2 對YouTuber的態度 8
2-3 業配影片的感知娛樂性 9
2-4 業配影片的感知可信性 9
2-5 業配影片的感知干擾性 10
2-6 對業配影片的態度 11
2-7 持續觀看意圖 12
2-8 購買意圖 13
第三章 研究方法 16
3-1 研究架構 16
3-2 研究假說 17
3-3 構念定義與衡量 25
3-4 研究設計 26
第四章 研究分析 30
4-1 前測分析 30
4-2 樣本結構分析 32
4-3 信度與效度分析 35
4-4 假說檢定 40
4-5 小結 45
第五章 結論與建議 47
5-1 結論 47
5-2 研究建議 49
5-3 研究限制 51
5-4 未來研究方向建議 52
參考文獻 54
附錄 : 實驗問卷 59

圖目錄
圖1 - 1 台灣使用率最高的前五項網路服務 2
圖1 - 2 網紅行銷最佳平台排名 3
圖2 - 1 期望確認模型 13
圖3 - 1 研究架構 17
圖3 - 2 Ducoffe(1995)之廣告價值模式 18
圖3 - 3 Ducoffe(1996)之廣告價值模式 18
圖3 - 4 Brackett and Carr廣告態度模式 19
圖3 - 5 MacKenzie & Lutz之廣告態度模型 22
圖3 - 6 理性行為理論 23
圖4 - 1 中介分析之總效果、直接效果及間接效果 42

表目錄
表3 - 1 研究構念定義 25
表3 - 2 本研究構念衡量之問項內容與參考文獻 27
表4 - 1 前測信度分析 31
表4 - 2 性別分布 32
表4 - 3 年齡分布 33
表4 - 4 教育程度分布 33
表4 - 5 職業分布 33
表4 - 6 使用YouTube頻道的次數分布 34
表4 - 7 使用YouTube觀看影片的總時間分布 34
表4 - 8 構念之敘述性統計 35
表4 - 9 信度分析 36
表4 - 10 收斂效度與因素負荷量 38
表4 - 11 區別效度 39
表4 - 12 YouTuber的可信度能與對YouTuber的態度之迴歸分析 40
表4 - 13 對YouTuber的態度能與對業配影片的態度之迴歸分析 41
表4 - 14 迴歸係數、標準差及模型檢驗(Hayes, 2017) 43
表4 - 15 總效果、直接效果及間接效果(Hayes, 2017) 44
表4 - 16 對YouTuber的態度能與持續觀看意圖之迴歸分析 44
表4 - 17 對業配影片的態度能與持續觀看意圖之迴歸分析 45
表4 - 18 對業配影片的態度能與購買意圖之迴歸分析 45
表4 - 19 假說檢定結果 46
參考文獻 英文文獻
[1] Aktan, M., Aydogan, S., Aysuna, C., & Cad, M. Z. H. (2016). Web advertising value and students’ attitude towards web advertising. European Journal of Business and Management, 8(9), 86-97.

[2] Alwitt, L. F., & Prabhaker, P. R. (1992). Functional and belief dimensions of attitudes to television advertising: Implications for copytesting. Journal of advertising research.

[3] Ambler, T., & Burne, T. (1999). The impact of affect on memory of advertis-ing. Journal of advertising research, 39, 25-34.

[4] Atkin, C., & Block, M. (1983). Effectiveness of celebrity endorsers. Journal of adver-tising research.

[5] Barnes, S. J., & Böhringer, M. (2011). Modeling use continuance behavior in mi-croblogging services: the case of Twitter. Journal of Computer Information Sys-tems, 51(4), 1-10.

[6] Bauer, R. A., & Greyser, S. A. (1968). Advertising in America, the consumer view.

[7] Bhattacherjee, A. (2001). Understanding information systems continuance: an expecta-tion-confirmation model. MIS quarterly, 351-370.

[8] Bong, W. Z. (2017). Influence of Social Media Marketing, Brand Loyalty and eWOM Towards Consumers’ Purchase Intention (Doctoral dissertation, UTAR).

[9] Casaló, L. V., Flavián, C., & Ibáñez-Sánchez, S. (2018). Influencers on Instagram: An-tecedents and consequences of opinion leadership. Journal of Business Research.

[10] Chakrabarty, S., & Yelkur, R. (2006). The effects of ad irritation on brand atti-tudes. Journal of Promotion Management, 11(2-3), 37-48.

[11] Chikweche, T., & Fletcher, R. (2010). Understanding factors that influence purchases in subsistence markets. Journal of Business Research, 63(6), 643-650.

[12] Choi, S. M., & Rifon, N. J. (2002). Antecedents and consequences of web advertising credibility: A study of consumer response to banner ads. Journal of Interactive Adver-tising, 3(1), 12-24.

[13] Crano, W. D. (1970). Effects of sex, response order, and expertise in conformity: A dispositional approach. Sociometry, 239-252.

[14] Danieli, E. (2016). Social Media Marketing System Aiming at Increasing Purchase In-tentions on B2c E-Commerce Sites.

[15] De Veirman, M., Cauberghe, V., & Hudders, L. (2017). Marketing through Instagram influencers: the impact of number of followers and product divergence on brand atti-tude. International Journal of Advertising, 36(5), 798-828.

[16] Djafarova, E., & Rushworth, C. (2017). Exploring the credibility of online celebrities′ Instagram profiles in influencing the purchase decisions of young female us-ers. Computers in Human Behavior, 68, 1-7.

[17] Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers’ product evaluations. Journal of marketing research, 28(3), 307-319.

[18] Ducoffe, R. H. (1996). Advertising value and advertising on the web-Blog@ manage-ment. Journal of advertising research, 36(5), 21-32.

[19] Edwards, S. M., Li, H., & Lee, J. H. (2002). Forced exposure and psychological reac-tance: Antecedents and consequences of the perceived intrusiveness of pop-up ads. Journal of Advertising, 31(3), 83-95.

[20] Erdogan, B. Z. (1999). Celebrity endorsement: A literature review. Journal of market-ing management, 15(4), 291-314.

[21] Gaber, H. R., Wright, L. T., & Kooli, K. (2019). Consumer attitudes towards Instagram advertisements in Egypt: The role of the perceived advertising value and personaliza-tion. Cogent Business & Management, 6(1), 1-13.

[22] Gómez Macías, M., & Rungsaridworakarn, C. (2018). Instagram as a mirror: A study on how identification based on homophily impacts followers’ purchase intention on In-stagram.

[23] Greyser, S. A. (1973). Irritation in advertising. Journal of Advertising Research, 13(1), 3-10.

[24] Gupta, R., Kishore, N., & Verma, D. P. S. (2015). IMPACT OF CELEBRITY EN-DORSEMENTS ON CONSUMERS’PURCHASE INTENTION. Australian Journal of Business and Management Research, 5(3), 1-15.

[25] Huq, S. M., Alam, S. S., Nekmahmud, M., Aktar, M. S., & Alam, S. S. (2015). Custom-er’s attitude towards mobile advertising in Bangladesh. International Journal of Busi-ness and Economics Research, 4(6), 281-292.

[26] Ishani, F. (2019). Instagram Influencer′s Sponsored Posts: Measuring Users′ Attitude Towards Sponsored Posts and Purchase Intentions in the United States (Doctoral dis-sertation, University of Georgia).

[27] Kahle, L. R., & Homer, P. M. (1985). Physical attractiveness of the celebrity endorser: A social adaptation perspective. Journal of consumer research, 11(4), 954-961.

[28] Kelman, H. C. (1961). Processes of opinion change. Public opinion quarterly, 25(1), 57-78.

[29] Khalifa, M., & Liu, V. (2002). Satisfaction with internet-based services: the role of ex-pectations and desires. International Journal of Electronic Commerce, 7(2), 31-49.

[30] Kim, N., Chun, E., & Ko, E. (2017). Country of origin effects on brand image, brand evaluation, and purchase intention. International Marketing Review.

[31] Lafferty, B. A., & Goldsmith, R. E. (1999). Corporate credibility’s role in consumers’ attitudes and purchase intentions when a high versus a low credibility endorser is used in the ad. Journal of business research, 44(2), 109-116.

[32] Lisichkova, N., & Othman, Z. (2017). The impact of influencers on online purchase intent.

[33] MacKenzie, S. B., & Lutz, R. J. (1989). An empirical examination of the structural an-tecedents of attitude toward the ad in an advertising pretesting context. Journal of mar-keting, 53(2), 48-65.

[34] Mathisen, A., & Stangeby, M. F. (2017). Factors influencing advertising effectiveness and purchase intention on Instagram (Master′s thesis, BI Norwegian Business School).

[35] McKinney, V., Yoon, K., & Zahedi, F. M. (2002). The measurement of web-customer satisfaction: An expectation and disconfirmation approach. Information systems re-search, 13(3), 296-315.

[36] Mitchell, A. A., & Olson, J. C. (1981). Are product attribute beliefs the only mediator of advertising effects on brand attitude?. Journal of marketing research, 18(3), 318-332.

[37] Ohanian, R. (1990). Construction and validation of a scale to measure celebrity en-dorsers′ perceived expertise, trustworthiness, and attractiveness. Journal of advertis-ing, 19(3), 39-52.

[38] Prendergast, G., Liu, P. Y., & Poon, D. T. (2009). A Hong Kong study of advertising credibility. Journal of Consumer Marketing.

[39] Rebelo, M. F. (2017). How Influencers’ Credibility on Instagram is perceived by con-sumers and its impact on purchase intention (Doctoral dissertation).

[40] Roca, J. C., Chiu, C. M., & Martínez, F. J. (2006). Understanding e-learning continu-ance intention: An extension of the Technology Acceptance Model. International Journal of human-computer studies, 64(8), 683-696.

[41] Shim, S., Eastlick, M. A., Lotz, S. L., & Warrington, P. (2001). An online prepurchase intentions model: the role of intention to search. Journal of retailing, 77(3), 397-416.

[42] Son, J., Jin, B., & George, B. (2013). Consumers′ purchase intention toward foreign brand goods. Management Decision, 51(2), 434-450.

[43] Spry, A., Pappu, R., & Cornwell, T. B. (2011). Celebrity endorsement, brand credibil-ity and brand equity. European journal of marketing.

[44] Stern, B., & Zaichowsky, J. L. (1991). The impact of entertaining advertising on con-sumer responses. Australian Marketing Researcher, 14(1), 68-80.

[45] Sternthal, B., Dholakia, R., & Leavitt, C. (1978). The persuasive effect of source credi-bility: Tests of cognitive response. Journal of Consumer research, 4(4), 252-260.

[46] Trocchia, P. J., & Janda, S. (2003). How do consumers evaluate Internet retail service quality?. Journal of services marketing.

[47] Tsang, M. M., Ho, S. C., & Liang, T. P. (2004). Consumer attitudes toward mobile ad-vertising: An empirical study. International journal of electronic commerce, 8(3), 65-78.

網路文獻
[1] Mediakix(2019)。INFLUENCER MARKETING 2019 INDUSTRY BENCHMARKS。2020年3月26日,取自 : https://mediakix.com/influencer-marketing-resources/influencer-marketing-industry-statistics-survey-benchmarks/

[2] YouTube。YouTube新聞中心統計數據。2020年3月25日,取自 : https://www.youtube.com/intl/zh-TW/about/press/

[3] 王馥蓓(2018年1月10日)。YouTuber、網紅當道,品牌究竟何去何從? 天下雜誌。2020年3月26日,取自 : https://www.cw.com.tw/article/article.action?id=5087508

[4] 台灣網路資訊中心(2019)。台灣整體網路使用狀況。2020年3月20日,取自 : https://report.twnic.tw/2019/

[5] 陳俊廷(2018年10月05日)。當「平台+觀眾+創作者」都準備好了,品牌主如何把握網路影音時代新機會? 數位時代。2020年3月20日,取自 : https://www.bnext.com.tw/article/50815/video-branding-ads-youtube

[6] 謝欣樺(2017年12月17日)。12張圖,完整解析影音行銷如何席捲網路世界。Smart人人新網路科技。2020年3月22日,取自 : https://www.smartm.com.tw/article/34353039cea3

[7] 陳炳宏(2018年9月14日)。YouTube使用行為大調查 : 7成受訪者天天看 平均花2.5小時。自由時報。2020年3月25日,取自 : https://ec.ltn.com.tw/article/breakingnews/2551405

[8] 陳俊廷(2017年10月03日)。台灣《YouTube使用者行為大調查》揭密最新影音趨勢。Google官方部落格。2020年3月25日,取自 : https://taiwan.googleblog.com/2017/10/youtube.html
指導教授 李小梅(Hsiao-Mei Li) 審核日期 2020-7-7
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