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研究生: 林妮蓁
Ni-Zen Lin
論文名稱: In-app 與行動網頁廣告的負面情緒對廣告效果影響之研究
The Influence of Negative Emotions of In-app and Mobile Web Advertisements on Advertising Effects
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: 2023
畢業學年度: 112
語文別: 中文
論文頁數: 57
中文關鍵詞: 行動廣告應用程式內廣告知覺侵擾廣告惱怒廣告效果
外文關鍵詞: Mobile Ad, In-app Ad, Ad Intrusiveness, Ad Irritation, Advertising Effects
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  • 隨著應用程式的下載量逐年上升,許多廣告代理商及品牌注意到應用程式的廣泛覆蓋與用戶深度參與,使其成為重要行銷渠道,應用程式提供更好的廣告價值、流程體驗、設計質量和品牌知名度。過去研究多以行動廣告的形式探討廣告效果,並集中討論消費者對不同廣告呈現型式、廣告位置等因素的廣告態度、廣告效果,不同行動廣告曝光管道是否對廣告負面情緒及廣告效果產生影響是鮮少著墨的議題。

    本研究以 Figma 設計實作情境並採問卷調查法探討應用程式及行動網頁兩種廣告曝光管道的負面情緒對廣告效果之影響,探討消費者的負面情緒(知覺侵擾、廣告惱怒)在 APP 及 Web 的情境之下,是否會對廣告效果(廣告注意、廣告態度及廣告記憶)產生不同影響。

    研究結果顯示,APP 及 Web 的情境之下,知覺侵擾對廣告惱怒皆有顯著的正向影響。然而,此兩種廣告曝光管道對於知覺侵擾及廣告惱怒不存在調節效果, 對廣告效果之影響亦不同。藉此提出對行動廣告商及發佈商的廣告建置建議。


    As the annual download volume of applications continues to rise, many advertising agencies and brands have recognized the extensive coverage and deep user engagement of applications, making them an important marketing channel. Applications offer better advertising value, process experience, design quality, and brand awareness. Previous research has mainly explored advertising effects in the form of mobile advertising and focused on consumer attitudes towards different advertising presentation formats, advertising placements, and the impact of different mobile advertising exposure channels on advertising attitudes and effectiveness, with little attention given to the influence of negative emotions on advertising outcomes.

    This study uses Figma to design practical scenarios and employs a questionnaire survey method to investigate the impact of negative emotions on advertising outcomes through two advertising exposure channels: mobile applications and mobile web pages. It explores whether consumer negative emotions (perceived intrusion, advertising irritation) in the context of apps and web pages have different effects on advertising outcomes (advertising attention, advertising attitude, and advertising memory).

    The results of the study show that in both app and web contexts, perceived intrusion has a significant positive impact on advertising irritation. However, there is no moderating effect of these two advertising exposure channels on perceived intrusion and advertising irritation, and their impact on advertising outcomes is also different. This study provides advertising construction recommendations for mobile advertisers and publishers based on these findings.

    摘要 I Abstract II 致謝 III 目錄 IV 第一章 緒論 1 1.1 研究背景 1 1.2 研究動機 2 1.3 研究目的及重要性 3 1.4 研究流程 4 第二章 文獻探討 5 2.1 行動廣告 5 2.1.1 行動廣告運作模式 5 2.1.1 行動廣告形式 6 2.1.2 行動廣告投放管道 7 2.1.3 應用程式及行動網頁之差異 7 2.2 廣告負面情緒 8 2.2.1 廣告惱怒 8 2.2.2 知覺侵擾 8 2.3 廣告效果 9 第三章 研究方法 10 3.1 研究假說 10 3.1.1 知覺侵擾對廣告惱怒之正向影響 10 3.1.2 廣告惱怒對廣告注意及態度之負向影響 10 3.1.3 廣告注意對廣告態度及記憶之正向影響 11 3.1.4 廣告曝光管道對知覺侵擾及廣告惱怒的調節效果 11 3.2 研究構面操作型定義 13 3.3 問卷設計 13 3.3.1 問卷填答流程 13 3.3.2 實驗素材 14 3.3.3第一次前測 15 3.3.4第二次前測 16 3.3.5正式問卷 17 3.4 樣本資料蒐集 18 3.5 資料分析方法 18 3.5.1 敘述性統計 18 3.5.2 信度分析 19 3.5.3 效度分析 19 3.5.4 迴歸檢定 19 第四章 研究分析結果 20 4.1 敘述性統計分析 20 4.2 信度分析 22 4.3 效度分析 23 4.4 迴歸分析 24 4.4.1 知覺侵擾對廣告惱怒 26 4.4.2 廣告惱怒對廣告注意及態度 26 4.4.3 廣告注意對廣告態度及記憶 26 第五章 研究結論與建議 28 5.1 研究結論 28 5.1.1 知覺侵擾對廣告惱怒之影響不受廣告曝光管道影響 28 5.1.2 應用程式的廣告惱怒對廣告注意有負向顯著影響 29 5.1.3 行動網頁的廣告惱怒對廣告態度有負向顯著影響 29 5.1.4 應用程式及行動網頁的注意對態度有正向顯著影響 29 5.1.5 應用程式及行動網頁的注意對記憶無顯著影響 29 5.2 研究貢獻 30 5.2.1 學術意涵 30 5.2.2 實務意涵 31 5.3 研究限制及建議 31 參考文獻 33 附錄一:問卷 41

    Aaker, D. A., & Bruzzone, D. E. (1985). Causes of irritation in advertising. The journal of marketing, 47-57.
    Alwreikat, A. A., & Rjoub, H. (2020). Impact of mobile advertising wearout on consumer irritation, perceived intrusiveness, engagement and loyalty: A partial least squares structural equation modelling analysis. South African Journal of Business Management, 51(1), 11.
    Angell, R., Gorton, M., Sauer, J., Bottomley, P., & White, J. (2016). Don't distract me when I'm media multitasking: Toward a theory for raising advertising recall and recognition. Journal of Advertising, 45(2), 198-210.
    Arora, T., & Agarwal, B. (2019). Empirical study on perceived value and attitude of millennials towards social media advertising: a structural equation modelling approach. Vision, 23(1), 56-69.
    Baek, T.H.; Morimoto, M. Stay away from me. J. Advert. 2012, 41, 59–76.
    Barnes, S., & Scornavacca, E. (2008). Uncovering patterns in mobile advertising opt-in behaviour: A decision hierarchy approach. International Journal of Mobile Communications, 6(4), 405–16.
    Bart, Y., Stephen, A., & Sarvary, M. (2013). Making mobile ads that work. Harvard Business Review, 91(12), 32-32.
    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), 181–192.
    Bauer, Raymond A. and Stephen A. Greyser (1968), Advertising in America: The Consumer View, Boston, MA: Harvard University
    Bellman, S., R. F. Potter, S. Treleaven-Hassard, J. A. Robinson, et al. “The Effectiveness of Branded Mobile Phone Apps.” Journal of Interactive Marketing 25, 4 (2011): 191–200.
    Best Google Play App Categories by 2022-2023 Download Trends, Retrieved Oct 10, 2022, from https://42matters.com/top-google-play-app-categories-by-download-trends
    Bowen, K., and M. D. Pistilli. Student preferences for mobile appusage (Research bulletin). Louisville, CO: EDUCAUSE Center for Applied Research, 2012. Retrieved from https://library.educause.edu/resources/2012/9/student-preferences-for-mobile-app-usage
    Brechman, J., Bellman, S., Robinson, J.A., Rask, A., & Varan, D. (2016). Limitedinterruption advertising in digital-video content: An analysis compares the effects of ‘Midroll’ versus ‘Preroll’ spots and clutter advertising. Journal of advertising research, 56(3), 289–298. https://doi.org/10.2501/JAR-2016-001
    C. Herrando, M.J. Martin-De Hoyos Influencer endorsement posts and their effects on advertising attitudes and purchase intentions Int. J. Consum. Stud. (2022), 10.1111/ijcs.12785
    Chen, P. T., & Hsieh, H. P. (2012). Personalized mobile advertising: Its key attributes, trends, and social impact. Technological Forecasting and Social Change, 79(3), 543-557.
    Cheung, M. F., & To, W. M. (2017). The influence of the propensity to trust on mobile users' attitudes toward in-app advertisements: An extension of the theory of planned behavior. Computers in Human Behavior, 76, 102-111.
    data.ai, The State of Mobile in 2022: How to Succeed in a Mobile-First World As Consumers Spend 3.8 Trillion Hours on Mobile Devices(Jan 12, 2022) Retrieved from https://www.data.ai/en/insights/market-data/state-of-mobile-2022/ (Oct 15, 2022)
    Determinants of consumers' attitudes toward mobile advertising: The mediating roles of intrinsic and extrinsic motivations. X. Feng, S. Fu and J. QinComputers in Human Behavior, 63 (2016), pp. 334-341
    Edwards, S.M.; Li, H.; Lee, J.-H. Forced exposure and psychological reactance: Antecedents and consequences of the perceived intrusiveness of pop-up ads. J. Advert. 2002, 31, 83–95.
    Esther Thorson, Annie Chi, and Clark Leavitt (1992) ,"Attention, Memory, Attitude, and Conation: a Test of the Advertising Hierarchy", in NA - Advances in Consumer Research Volume 19, eds. John F. Sherry, Jr. and Brian Sternthal, Provo, UT : Association for Consumer Research, Pages: 366-379.
    Fritz, N.K. Claim recall and irritation in television commercials: An advertising effectiveness study. J. Acad. Mark. Sci. 1979, 7,1–13.
    Goodrich, K., Schiller, S.Z. and Galletta, D. Consumer reactions to intrusiveness of onlinevideo advertisements: do length, informativeness, and humor help (or hinder) marketing outcomes?. Journal of Advertising Research, 55(1), 2015, pp.37-50.
    H.I. Maseeh, C. Jebarajakirthy, R. Pentecost, M. Ashaduzzaman, D. Arli, S. Weaven A meta-analytic review of mobile advertising research J. Bus. Res., 136 (2021), pp. 33-51, 10.1016/j.jbusres.2021.06.022
    Ha, Louisa (1996), "Advertising Clutter in Consumer Magazines:Dimensions and Effects," Journal of Advertising Research, 36 (July/August), 76-83.
    Haghirian, P., Madlberger, M. (2005): Consumer Attitude toward Advertising via Mobile Devices - An Empirical Investigation among Austrian Users, in "Proceedings of the 13th European Conference on Information Systems (ECIS 2005)", Regensburg, Germany, 26-28 May 2005.
    Hof, R. “Study: Mobile ads actually do work—especially in apps.” Forbes, August 27, 2014. Retrieved Nov 11, 2022, from https://www.forbes.com/sites/roberthof/2014/08/27/study-mobile-ads-actually-do-work-especially-in-apps/#33f0f8c357aa
    IAB Make Mobile Work Webinar: In-App v. Mobile Web Confusion Retrieved Oct 15, 2022,from https://www.iab.com/events/iab-make-mobile-work-webinar-in-app-mobile-web-confusion/
    In-App Advertising To Account For 56% Of Digital Ad Spend In 2026, Retrieved Oct 15, 2022, from https://focusonbusiness.eu/en/news/in-app-advertising-to-account-for-56-of-digital-ad-spend-in-2026/4700
    Intraub, H. The role of implicit naming in pictorial encoding. Journal of Experimental Psychology: Human Learning and Memory, 5, 2 (1979), 78–87
    J. Martins, C. Costa, T. Oliveira, R. Gonçalves, F. Branco How smartphone advertising influences consumers' purchase intention J. Bus. Res., 94 (2019), pp. 378-387, 10.1016/j.jbusres.2017.12.047
    J. van Doorn, J.C. Hoekstra Customization of online advertising: The role of intrusiveness Marketing Letters, 24 (4) (2013), pp. 339-351, 10.1007/s11002-012-9222-1
    Jarvenpaa, S. L., Lang, K. R. (2005): Managing the paradoxes of mobile technology, Information Systems Management, Vol. 22, No. 4, pp. 7-23.
    Jelassi, T., Enders, A. (2004): Leveraging Wireless Technology for Mobile Advertising, in "Proceedings of the 12th European Conference on Information Systems (ECIS 2004)", Turku, Finland, 14-16 June 2004.
    Jens Mattke (2019). Advertising-Funded IS: A Literature Review on Factors Influencing User’s Clicking Behavior for In-App Ads
    Jian, L. Z., & Yazdanifard, R. (2015). Which modern trend advertising methods are more effective in reaching certain outcome?: A review on internet ads, mobile app ads, video ads, stealth ads and outdoor digital ads. International Journal of Management.
    Jobe, W. “Native Apps vs. Mobile Web Apps.” International Journal of Interactive Mobile Technologies 7, 4 (2013): 27–32.
    Kirmani, A. Advertising repetition as a signal of quality: If it’s advertised so much, something must be wrong. Journal of Advertising, 26, 3 (1997),77–86.
    Le, T. D., & Nguyen, B. T. H. (2014). Attitudes toward mobile advertising: A study of mobile web display and mobile app display advertising. Asian academy of management journal, 19(2), 87.
    Leavitt, C. (1970). A multidimensional set of rating scales for television commercials. Journal of Applied Psychology, 54(5), 427.
    Lee, E. B., Lee, S. G., & Yang, C. G. (2017). The influences of advertisement attitude and brand attitude on purchase intention of smartphone advertising. Industrial Management & Data Systems.
    Lee, J., & Ahn, J. H. (2012). Attention to banner ads and their effectiveness: An eye-tracking approach. International Journal of Electronic Commerce, 17(1), 119-137.
    Leigh, J. H., Zinkhan, G. M., & Swaminathan, V. (2006). Dimensional relationships of recall and recognition measures with selected cognitive and affective aspects of print ads. Journal of Advertising, 35(1), 105-122.
    Li, H, Edwards, S. M., & Lee, J. H. (2002). Measuring the Intrusiveness of Advertisements: Scale Development and Validation. Journal of Advertising, Vol. 31, No. 2 (Summer, 2002), pp. 37-47
    Li, X.; Zhang, Y.; Yao, J. Avoidance Behavior toward Social Network Advertising: Dimensions and Measurement. In Proceedings of the WHICEB 2020, Wuhan, China, 5 July 2020.
    Lin, H. C. S., Lee, N. C. A., & Lu, Y. C. (2021). The Mitigators of Ad Irritation and Avoidance of YouTube Skippable In-Stream Ads: An Empirical Study in Taiwan. Information, 12(9), 373.
    Liu, C. L. E., Sinkovics, R. R., Pezderka, N., & Haghirian, P. (2012). Determinants of consumer perceptions toward mobile advertising—a comparison between Japan and Austria. Journal of Interactive Marketing, 26(1), 21-32.
    Loftus, G.R., and Kallman, J.J. Encoding and use of detail information in picture recognition. Journal of Experimental Psychology: Human Learning and Memory, 5, 3 (1979), 197–211.
    M.A. Shareef, B. Mukerji, Y.K. Dwivedi, N.P. Rana, R. Islam Social media marketing: comparative effect of advertisement sources J. Retail. Consum. Serv., 46 (2019), pp. 58-69, 10.1016/j.jretconser.2017.11.001
    Mansour, I. H. F., & Diab, D. M. E. (2016). The relationship between celebrities’ credibility and advertising effectiveness: The mediation role of religiosity. Journal of Islamic Marketing.
    Martins, J., C. Costa, T. Oliveira, R. Gonçalves, et al. “How Smartphone Advertising Influences Consumers’ Purchase Intention.” Journal of Business Research 94 (2019): 378–387.
    Meng, W., Ding, R., Chung, S. P., Han, S., & Lee, W. (2016, February). The Price of Free: Privacy Leakage in Personalized Mobile In-Apps Ads. In NDSS (pp. 1-15).
    MMA, Mobile Ad Formats Explained, Retrieved Dec 27, 2022, from https://www.mmaglobal.com/research/mobile-ad-formats-explained
    Most anticipated types of mobile ads according to mobile marketers worldwide as of October 2019, Retrieved Oct 12, 2022, from https://www.statista.com/statistics/742690/most-anticipated-mobile-ad-types/
    Most effective digital marketing techniques according to marketers worldwide in 2020, Retrieved Oct 12, 2022, from https://www.statista.com/statistics/190858/most-effective-online-marketing-channels-according-to-us-companies/
    Park, S. S., & Park, B. (2020). Advertising on Mobile Apps Versus the Mobile Web: Which Delivers Better Advertisement Recognition and Willingness to Buy?. Journal of Advertising Research, 60(4), 381-393.
    Peng, K. F., Y. Chen, and K. W. Wen. “Brand Relationship, Consumption Values and Branded App Adoption.” Industrial Management & Data Systems 114, 8 (2014): 1131–1143.
    Peng, K. F., Y. Chen, and K. W. Wen. “Brand Relationship, Consumption Values and Branded App Adoption.” Industrial Management & Data Systems 114, 8 (2014): 1131–1143.
    Pieters, R.; Warlop, L.; and Wedel, M. Breaking through the clutter: Benefits of advertisement originality and familiarity for brand attention and memory. Management Science, 48, 6 (2002), 765–781.
    Raditya, D.; Gunadi, W.; Setiono, D.; Rawung, J. The Effect of Ad Content and Ad Length on Consumer Response towards Online Video Advertisement. Winners 2020, 21, 119–128. [CrossRef]
    Rosenkrans, G., and Myers, K. (2018). “Optimizing Location-Based Mobile Advertising Using Predictive Analytics,” Journal of interactive advertising (18:1), pp. 43–54.
    Seyedghorban, Z.; Tahernejad, H.; Matanda, M.J. Reinquiry into advertising avoidance on the internet: A conceptual replication and extension. J. Advert. 2016, 45, 120–129.
    Singh, R. P., & Banerjee, N. (2018). Exploring the influence of celebrity credibility on brand attitude, advertisement attitude and purchase intention. Global Business Review, 19(6), 1622-1639.
    Sinh, N. H. (2013). The hierarchy model of advertising effects: A debate. Journal of Development and Integration, 8(18), 92-96.
    Stewart, D. W., & Pavlou, P. A. (2002). From consumer response to active consumer: Measuring the effectiveness of interactive media. Journal of the academy of marketing science, 30(4), 376-396.
    T.T. Lin, J.R. Bautista Content-related factors influence perceived value of location-based mobile advertising J. Comput. Inf. Syst. (2018), pp. 184-193, 10.1080/08874417.2018.1432995
    Taiwan Journal of Marketing Science Vol. 14, No. 1, pp.71∼94
    Taylor, G. D., and M. Levin. “Predicting Mobile App Usage for Purchasing and Information-Sharing.” International Journal of Retail & Distribution Management 42, 8 (2014): 759–774.
    Thorson, E., Chi, A., & Leavitt, C. (1992). Attention, memory, attitude, and conation: A test of the advertising hierarchy. ACR North American Advances.
    Tina Olivero.”In-App Advertising To Account 56% Digital Ad Spend In 2026.”OUR GREAT MINDS, Retrieved Oct 10, 2022, from https://theogm.com/2022/03/09/in-app-advertising-to-account-56-digital-ad-spend-in-2026/
    Wedel, M., and Pieters, R. Eye fixation on advertisements and memory for brands: A model and findings. Marketing Science, 19, 4 (2000), 297–312.
    Wilska, T.-A. (2003). Mobile phone use as part of young people's consumption. Journal
    Y. Wang, E. Genc Path to effective mobile advertising in Asian markets: credibility, entertainment, and peer influence
    Yaveroglu, I., and Donthu, N. Advertising repetition and placement issues in on-line environments. Journal of Advertising, 37, 2 (2008), 31–43.
    Z. Sheikh, T. Islam, S. Rana, Z. Hameed, U. SaeedAcceptance of social commerce framework in Saudi Arabia Telemat. Inform., 34 (2017), pp. 1693-1708, 10.1016/j.tele.2017.08.003
    Zubcsek, P. P., Z. Katona, and M. Sarvary. “Predicting Mobile Advertising Response Using Consumer Colocation Networks.” Journal of Marketing 81, 4 (2017): 109–126.
    김미경. (2019). Determinants of Young Consumers?? Attitude toward Mobile Advertising: The Role of Regulatory Focus.
    陳惠鈴. (2016). 行動廣告與手機應用程式情境一致性對於廣告溝通效果之影響.
    楊宜潔. (2012). 行動廣告態度之研究-以 [行動新聞 App 廣告] 為例.
    楊運秀、汪志堅、張云榕 (2018) 從消費者抗拒探討行動廣告的惱怒與規避。行銷科學學報,第十四卷,第一期,pp.71-94。
    蘇伊瑜, 周軒逸, & 黃賀. (2014). 行銷溝通新利器: APP 廣告產品, 促銷類型及置入 APP 類型之廣告效果.

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