簡易檢索 / 詳目顯示

研究生: 廖映晴
Ying-Cing Liao
論文名稱: 資訊性與隱私認知對再行銷廣告效果影響之研究
Research of Informativeness and Privacy Perception’s Influence on Retargeting Advertising Effectiveness
指導教授: 欒斌
Pin Luarn
口試委員: 陳正綱
Cheng-Kang Chen
林鴻文
Hong-Wen Lin
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: 2021
畢業學年度: 109
語文別: 中文
論文頁數: 59
中文關鍵詞: 再行銷廣告廣告態度品牌態度隱私認知點擊意願
外文關鍵詞: Retargeting Advertising, Advertising Attitude, Brand Attitude, Privacy Awareness, Click Intention
相關次數: 點閱:286下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 新冠肺炎疫情肆虐,帶動電子商務迅速發展與社群媒體使用率提升,產生豐富的數據資料庫,廠商根據用戶搜尋瀏覽紀錄及分析線上使用者行為,將廣告投放至更精準的目標客群,其中再行銷廣告有效促進消費者回流,提升廣告效益。從受眾角度探討,廣告商提供更符合個人需求廣告內容,提供所需資訊價值,提升購買意願;然而考量隱私暴露風險,影響受眾點擊再行銷廣告之意願,並對廣告品牌產生反感。

    本研究總共回收352份有效問卷,透過信度分析、皮爾森相關係數分析、迴歸分析驗證假說,並探討變數間影響效果。研究結果顯示雖然受眾會因隱私問題降低點擊意願,但當資訊為受眾所需,隱私認知對點擊意願幾乎不產生影響。本研究整理再行銷廣告運作方式及操作技術,以及透過問卷分析受眾對再行銷廣告態度及廣告成效,提供欲投放數位廣告廠商作為參考。


    As the COVID-19 pandemic kept raging, it led to the development of e-commerce as well as the higher usage rate of social media, which helps create a more comprehensive database of users’ online behavior. Based on users’ search and browsing records along with analysis of customer behavior, companies use the data to deliver advertisements to the target audience more precisely. From the perspective of the audience, advertisers indeed deliver advertising messages that are more suitable to their personal needs, and also provide the required informational values. However, considering the risk of privacy exposure, the audience’s willingness to click on the retargeting advertisings is affected, and consequently, they may even dislike the advertisements and the brands.

    In this study, a total of 352 valid questionnaires were retrieved. The hypotheses were verified through reliability analysis, Pearson’s correlation coefficient and regression analysis. Simultaneously, the effects of variables were discussed. The result of the research shows: the privacy issues reduce the audience’s willingness to click on the advertisement; however, when the advertising information is needed by the audience, the awareness of privacy has little impact on their willingness to check the advertisement. This study sorts out the business models and techniques of retargeting advertising, analyzing the audience's attitude towards retargeting advertising and its efficiency through questionnaires, in a view to providing a reference for advertisers who want to deliver advertisements successfully.

    摘要 i Abstract ii 誌謝 iii 目錄 iv 表目錄 vi 圖目錄 vii 第一章、緒論 1 第一節 研究背景 1 第二節 研究動機 2 第三節 研究目的 3 第四節 研究流程 4 第二章、文獻探討 5 第一節 再行銷廣告 5 第二節 廣告資訊性 10 第三節 廣告態度 10 第四節 品牌態度 12 第五節 隱私認知 13 第六節 點擊意願 14 第三章、研究方法 16 第一節 研究假說 16 第二節 研究架構 17 第三節 問卷設計 18 第四節 問卷前測 23 第五節 資料分析方法 24 第四章、研究分析 26 第一節 敘述性統計分析 26 第二節 信度分析 28 第三節 相關分析 30 第四節 迴歸分析 31 第五章、研究結論與建議 34 第一節 研究結論 34 第二節 研究貢獻 35 第三節 研究限制與未來研究建議 36 參考文獻 38 英文文獻 38 中文文獻 45 網路資料 46 附錄、正式問卷 47

    英文文獻
    Aguirre, E., Mahr, D., Grewal, D., De Ruyter, K., & Wetzels, M. (2015). Unraveling the personalization paradox: The effect of information collection and trust-building strategies on online advertisement effectiveness. Journal of Retailing, 91(1), 34-49.
    Ahn, J., & Back, K.-J. (2018). Antecedents and consequences of customer brand engagement in integrated resorts. International Journal of Hospitality Management, 75, 144-152.
    Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
    Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological bulletin, 82(2), 261.
    Alhaddad, A. A. (2015). The effect of advertising awareness on brand equity in social media. International Journal of e-Education, e-Business, e-Management and e-Learning, 5(2), 73-84.
    Augusto, M., & Torres, P. (2018). Effects of brand attitude and eWOM on consumers’ willingness to pay in the banking industry: Mediating role of consumer-brand identification and brand equity. Journal of Retailing and Consumer Services, 42, 1-10.
    Awad, N. F., & Krishnan, M. S. (2006). The personalization privacy paradox: an empirical evaluation of information transparency and the willingness to be profiled online for personalization. MIS quarterly, 13-28.
    Bauer, H. H., Reichardt, T., Barnes, S. J., & Neumann, M. M. (2005). Driving consumer acceptance of mobile marketing: A theoretical framework and empirical study. Journal of electronic commerce research, 6(3), 181.
    Bauer, R. A., & Greyser, S. A. (1968). Advertising in America, the consumer view.
    Blanco, C. F., Blasco, M. G., & Azorín, I. I. (2010). Entertainment and informativeness as precursory factors of successful mobile advertising messages. Communications of the IBIMA, 2010(2010), 1-11.
    Brackett, L. K., & Carr, B. N. (2001). Cyberspace advertising vs. other media: Consumer vs. mature student attitudes. Journal of Advertising Research, 41(5), 23-32.
    Brown, J., Broderick, A. J., & Lee, N. (2007). Word of mouth communication within online communities: Conceptualizing the online social network. Journal of interactive marketing, 21(3), 2-20.
    Bruce, N. I., Murthi, B., & Rao, R. C. (2017). A dynamic model for digital advertising: The effects of creative format, message content, and targeting on engagement. Journal of Marketing research, 54(2), 202-218.
    Buchanan, T., Paine, C., Joinson, A. N., & Reips, U. D. (2007). Development of measures of online privacy concern and protection for use on the Internet. Journal of the American society for information science and technology, 58(2), 157-165.
    Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
    De Keyzer, F., Dens, N., & De Pelsmacker, P. (2015). Is this for me? How consumers respond to personalized advertising on social network sites. Journal of Interactive Advertising, 15(2), 124-134.
    Dias, M. B., Locher, D., Li, M., El-Deredy, W., & Lisboa, P. J. (2008). The value of personalised recommender systems to e-business: a case study. Paper presented at the Proceedings of the 2008 ACM conference on Recommender systems.
    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.
    Ducoffe, R. H. (1996). Advertising value and advertising on the web. Journal of Advertising Research, 36(5), 21-21.
    Ducoffe, R. H., & Curlo, E. (2000). Advertising value and advertising processing. Journal of Marketing Communications, 6(4), 247-262.
    Eigenbrod, L., & Janson, A. (2018). How digital nudges influence consumers–experimental investigation in the context of retargeting.
    Evans, D. S. (2009). The online advertising industry: Economics, evolution, and privacy. Journal of economic perspectives, 23(3), 37-60.
    Gauzente, C. (2010). The intention to click on sponsored ads—A study of the role of prior knowledge and of consumer profile. Journal of Retailing and Consumer Services, 17(6), 457-463.
    Ghose, A., & Todri, V. (2015). Towards a digital attribution model: Measuring the impact of display advertising on online consumer behavior. Available at SSRN 2672090.
    Gligorijevic, J., Gligorijevic, D., Stojkovic, I., Bai, X., Goyal, A., & Obradovic, Z. (2019). Deeply supervised model for click-through rate prediction in sponsored search. Data Mining and Knowledge Discovery, 33(5), 1446-1467.
    Goldfarb, A., & Tucker, C. (2011). Online display advertising: Targeting and obtrusiveness. Marketing Science, 30(3), 389-404.
    Ha, L. (2008). Online advertising research in advertising journals: A review. Journal of Current Issues & Research in Advertising, 30(1), 31-48.
    Haghirian, P., & Madlberger, M. (2005). Consumer attitude toward advertising via mobile devices-An empirical investigation among Austrian users. ECIS 2005 Proceedings, 44.
    Haghirian, P., Madlberger, M., & Tanuskova, A. (2005). Increasing advertising value of mobile marketing-an empirical study of antecedents. Paper presented at the Proceedings of the 38th annual Hawaii international conference on system sciences.
    Haugtvedt, C. P., Petty, R. E., & Cacioppo, J. T. (1992). Need for cognition and advertising: Understanding the role of personality variables in consumer behavior. Journal of Consumer Psychology, 1(3), 239-260.
    Hirsh, J. B., Kang, S. K., & Bodenhausen, G. V. (2012). Personalized persuasion: Tailoring persuasive appeals to recipients’ personality traits. Psychological science, 23(6), 578-581.
    Huang, C.-Y., Chou, C.-J., & Lin, P.-C. (2010). Involvement theory in constructing bloggers' intention to purchase travel products. Tourism Management, 31(4), 513-526.
    Izquierdo-Yusta, A., Olarte-Pascual, C., & Reinares-Lara, E. (2015). Attitudes toward mobile advertising among users versus non-users of the mobile Internet. Telematics and Informatics, 32(2), 355-366.
    Jeong, Y., Kim, Y., & Zhao, X. (2011). Competing for consumer memory in television advertising: an empirical examination of the impacts of non-editorial clutter on brand memory in mega-event broadcasts. International Journal of Advertising, 30(4), 617-640.
    Johar, J. S., & Sirgy, M. J. (1991). Value-expressive versus utilitarian advertising appeals: When and why to use which appeal. Journal of advertising, 20(3), 23-33.
    Jung, A.-R. (2017). The influence of perceived ad relevance on social media advertising: An empirical examination of a mediating role of privacy concern. Computers in Human Behavior, 70, 303-309.
    Kim, J., & Park, J. (2005). A consumer shopping channel extension model: attitude shift toward the online store. Journal of Fashion Marketing and Management: An International Journal.
    Kim, Y. J., & Han, J. (2014). Why smartphone advertising attracts customers: A model of Web advertising, flow, and personalization. Computers in Human Behavior, 33, 256-269.
    Kudeshia, C., & Kumar, A. (2017). Social eWOM: does it affect the brand attitude and purchase intention of brands? Management Research Review.
    Labrecque, L. I. (2014). Fostering consumer–brand relationships in social media environments: The role of parasocial interaction. Journal of interactive marketing, 28(2), 134-148.
    Lambrecht, A., & Tucker, C. (2011). When does retargeting work?: timing information specificity: Verlag nicht ermittelbar.
    Lambrecht, A., & Tucker, C. (2013). When does retargeting work? Information specificity in online advertising. Journal of Marketing research, 50(5), 561-576.
    Lee, K.-C., Jalali, A., & Dasdan, A. (2013). Real time bid optimization with smooth budget delivery in online advertising. Paper presented at the Proceedings of the Seventh International Workshop on Data Mining for Online Advertising.
    Li, H., Daugherty, T., & Biocca, F. (2002). Impact of 3-D advertising on product knowledge, brand attitude, and purchase intention: The mediating role of presence. Journal of advertising, 31(3), 43-57.
    Liu, S. Q., & Mattila, A. S. (2017). Airbnb: Online targeted advertising, sense of power, and consumer decisions. International Journal of Hospitality Management, 60, 33-41.
    Low, G. S., & Lamb, C. W. (2000). The measurement and dimensionality of brand associations. Journal of product & brand management.
    Lutz, R. J., MacKenzie, S. B., & Belch, G. E. (1983). Attitude toward the ad as a mediator of advertising effectiveness: Determinants and consequences. ACR North American Advances.
    MacKenzie, S. B., & Lutz, R. J. (1989). An empirical examination of the structural antecedents of attitude toward the ad in an advertising pretesting context. Journal of marketing, 53(2), 48-65.
    Malhotra, N. K., Kim, S. S., & Agarwal, J. (2004). Internet users' information privacy concerns (IUIPC): The construct, the scale, and a causal model. Information systems research, 15(4), 336-355.
    Marder, B., Marchant, C., Archer-Brown, C., Yau, A., & Colliander, J. (2018). Conspicuous political brand interactions on social network sites. European Journal of Marketing.
    Mei, T., Hua, X.-S., Yang, L., & Li, S. (2007). VideoSense: towards effective online video advertising. Paper presented at the Proceedings of the 15th ACM international conference on Multimedia.
    Moe, W. W., & Fader, P. S. (2004). Dynamic conversion behavior at e-commerce sites. Management Science, 50(3), 326-335.
    Morgan-Thomas, A., & Veloutsou, C. (2013). Beyond technology acceptance: Brand relationships and online brand experience. Journal of Business Research, 66(1), 21-27.
    Petrescu, M., Gironda, J. T., & Korgaonkar, P. K. (2018). Online piracy in the context of routine activities and subjective norms. Journal of Marketing Management, 34(3-4), 314-346.
    Rejón-Guardia, F., & Martínez-López, F. J. (2014). Online advertising intrusiveness and consumers’ avoidance behaviors. In Handbook of strategic e-business management (pp. 565-586): Springer.
    Richard, M.-O., & Chandra, R. (2005). A model of consumer web navigational behavior: conceptual development and application. Journal of Business Research, 58(8), 1019-1029.
    Schellong, D., Kemper, J., & Brettel, M. (2016). Clickstream data as a source to uncover con-sumer shopping types in a large-scale online setting.
    Schivinski, B., Christodoulides, G., & Dabrowski, D. (2016). Measuring consumers' engagement with brand-related social-media content: Development and validation of a scale that identifies levels of social-media engagement with brands. Journal of Advertising Research, 56(1), 64-80.
    Scholten, M. (1996). Lost and found: The information-processing model of advertising effectiveness. Journal of Business Research, 37(2), 97-104.
    Sicilia, M., Ruiz, S., & Reynolds, N. (2006). Attitude Formation Onlin-how the Consumer's need for Cognition Affects the Relationship between Attitude towards the Website and Attitude towards the Brand. International Journal of Market Research, 48(2), 139-154.
    Smith, J. R., Terry, D. J., Manstead, A. S., Louis, W. R., Kotterman, D., & Wolfs, J. (2008). The attitude–behavior relationship in consumer conduct: The role of norms, past behavior, and self-identity. The Journal of social psychology, 148(3), 311-334.
    Su, J., & Tong, X. (2015). Brand personality and brand equity: evidence from the sportswear industry. Journal of product & brand management.
    Su, Y., Jin, Z., Chen, Y., Sun, X., Yang, Y., Qiao, F., . . . Xu, W. (2017). Improving click-through rate prediction accuracy in online advertising by transfer learning. Paper presented at the Proceedings of the International Conference on Web Intelligence.
    Toubiana, V., Narayanan, A., Boneh, D., Nissenbaum, H., & Barocas, S. (2010). Adnostic: Privacy preserving targeted advertising. Paper presented at the Proceedings Network and Distributed System Symposium.
    Truong, Y., & Simmons, G. (2010). Perceived intrusiveness in digital advertising: strategic marketing implications. Journal of strategic marketing, 18(3), 239-256.
    Tsang, M. M., Ho, S.-C., & Liang, T.-P. (2004). Consumer attitudes toward mobile advertising: An empirical study. International journal of electronic commerce, 8(3), 65-78.
    Tsekouras, D., Frick, T. W., & Li, T. (2016). Don’t Take It Personally: The Effect of Explicit Targeting in Advertising Personalization.
    Tucker, C. E. (2014). Social networks, personalized advertising, and privacy controls. Journal of Marketing research, 51(5), 546-562.
    Van Doorn, J., & Hoekstra, J. C. (2013). Customization of online advertising: The role of intrusiveness. Marketing Letters, 24(4), 339-351.
    Wright, E., Khanfar, N. M., Harrington, C., & Kizer, L. E. (2010). The lasting effects of social media trends on advertising. Journal of Business & Economics Research (JBER), 8(11).
    Xu, H., Dinev, T., Smith, J., & Hart, P. (2011). Information privacy concerns: Linking individual perceptions with institutional privacy assurances. Journal of the Association for Information Systems, 12(12), 1.
    Yang, K.-C., Huang, C.-H., Yang, C., & Tsai, C.-W. (2015). Applying Social Marketing Theory to develop retargeting and social networking advertising website. Paper presented at the 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).
    Yoo, C. Y. (2009). Effects beyond click-through: Incidental exposure to web advertising. Journal of Marketing Communications, 15(4), 227-246.
    Zhang, J., & Mao, E. (2016). From online motivations to ad clicks and to behavioral intentions: An empirical study of consumer response to social media advertising. Psychology & Marketing, 33(3), 155-164.

    中文文獻
    石家彥. (2014). 行動廣告互動性與廣告效果之研究. (碩士). 國立中央大學, 桃園縣. Retrieved from https://hdl.handle.net/11296/9hd48w
    李玟萱. (2017). B2C電子商務網站再行銷廣告之績效研究 -以Y公司為例. (碩士). 國立臺北科技大學, 台北市. Retrieved from https://hdl.handle.net/11296/3u9565
    洪燕茹. (2016). 產品類型、訊息訴求方式對再行銷廣告效果影響之研究. (碩士). 國立臺灣科技大學, 台北市. Retrieved from https://hdl.handle.net/11296/s5jb59
    許順富. (2000). 網路廣告特性類型與廣告效果之探討. (碩士). 國立臺灣大學, 台北市. Retrieved from https://hdl.handle.net/11296/sc45hb
    黃妙如. (2002). 網路使用者之媒體使用習慣與網路使用動機對網路廣告效果之影響研究. (碩士). 國立交通大學, 新竹市. Retrieved from https://hdl.handle.net/11296/vrzk3e
    蔡佩珊. (2004). 網路廣告效果評估方式之探討. (碩士). 國立政治大學, 台北市. Retrieved from https://hdl.handle.net/11296/p9pt5v
    薛佩雙. (2004). 行動廣告結合多元媒體對消費者廣告態度之影響. (碩士). 國立交通大學, 新竹市. Retrieved from https://hdl.handle.net/11296/4t5fv8

    網路資料
    Wavenet (2020年10月29日)。2021五個行銷趨勢重點。潮網科技。取自https://www.wavenet.com.tw/2020/12/2021%E8%A1%8C%E9%8A%B7%E8%B6%A8%E5%8B%A2/
    Ginayu (2020年06月05日)。後cookies時代。TenMax。取自https://www.tenmax.io/tw/archives/21299
    Joyce (2020年02月21日)。為何顧客總是不買單?善用「再行銷」抓住潛在客群,有效提升下單率。大人學院。取自https://www.smartm.com.tw/article/36323539cea3
    MimiAn. (2016, June 13)Why People Block Ads. Retrieved from https://blog.hubspot.com/marketing/why-people-block-ads-and-what-it-means-for-marketers-and-advertisers
    Mary Meeker’s 2019 internet trends report(ReCode) . (2019, June 12). Retrieved from https://www.youtube.com/watch?v=G_dwZB5h56E&ab_channel=Recode

    無法下載圖示 全文公開日期 2024/07/26 (校內網路)
    全文公開日期 本全文未授權公開 (校外網路)
    全文公開日期 本全文未授權公開 (國家圖書館:臺灣博碩士論文系統)
    QR CODE