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研究生: Evelyn Leopatria
Evelyn Leopatria
論文名稱: 橫幅廣告類型、知覺娛樂性、知覺資訊性與廣告效果之關係:SOR模式觀點
The relationships among banner advertising type, perceived entertainment, perceived informativeness, and advertising effectiveness: a SOR perspective
指導教授: 張恩欣
An-Hsin Chang
口試委員: 張恩欣
An-Hsin Chang
莊育娟
Yu-Chuang Chuang
李嘉林
Chia-Lin Lee
學位類別: 碩士
Master
系所名稱: 管理學院 - 管理學院MBA
School of Management International (MBA)
論文出版年: 2023
畢業學年度: 112
語文別: 英文
論文頁數: 53
外文關鍵詞: Banner Advertising, Carousel, Perceived Entertainment, Perceived Informativeness, Stimulus-Organism-Response model, Advertising Effectiveness, Online Beauty Store
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  • The Stimulus-Organism-Response (SOR) model was used in this study to investigate the interplay of different banner ads on perceived entertainment and perceived informativeness, which determines advertising effectiveness.
    Information from a sample of 150 participants from Indonesia was gathered and subjected to statistical analysis, employing regression analysis methods. The findings reveal significant effects of 'vividness,' on both perceived entertainment and perceived informativeness.
    These findings suggest that dynamic and visually rich advertising formats, such as carousel and video ads, significantly enhance consumers' perceptions of both entertainment and informativeness when it comes to online beauty retail. The findings also show that aligning advertising content with modern consumer expectations, emphasizing positive emotional responses and informative content, plays a significant role in creating pleasant customer outcomes and enhancing advertising effectiveness.
    In conclusion, This study sheds light on the complex dynamics of several banner ad kinds and their impact on consumer perceptions in the online beauty retail sector. Recognizing the importance of 'vividness' and aligning advertising strategies with evolving consumer preferences allows brands to navigate challenges and capitalize on opportunities, creating impactful campaigns.

    ABSTRACT I TABLE OF CONTENTS II LIST OF FIGURES III LIST OF TABLES IV CHAPTER I: INTRODUCTION 1 1.1 Study Background 1 1.2 Statement of the Problem 2 1.3 Research Questions 3 1.4 Research Process 4 1.5 Research Outline 5 CHAPTER II: LITERATURE REVIEW 6 2.1 Online Beauty Retail Stores 6 2.1.1 Evolution and Growth of Online Beauty Retail Stores 6 2.1.2 Challenges and Opportunities in the Online Beauty Retail Industry 8 2.2 Stimulus-Organism-Response (SOR) Framework 9 2.2.1 Theoretical Foundations and Principles of SOR Framework 9 2.2.2 Applications of SOR Framework in the Online Marketing 10 2.3 Role of Stimulus in Online Beauty Retail Stores 11 2.3.1 Static Images as Stimulus in Online Beauty Retail 12 2.3.2 Carousel Ads as Stimulus in Online Beauty Retail 12 2.3.3 Product Videos as Stimulus in Online Beauty Retail 12 2.4 Perceived Entertainment and Perceived Informativeness as Organism in Online Beauty Retail 13 2.4.1 Perceived Entertainment as Organism in Online Beauty Retail 13 2.4.2 Perceived Informativeness as Organism in Online Beauty Retail 13 2.5 Advertising Effectiveness as Response in Online Beauty Retail 13 2.6 Hypotheses Development 14 2.6.1 Influence of Banner Advertising Types on Perceived Entertainment (PE) 14 2.6.2 Influence of Banner Advertising Types on Perceived Informativeness (PI) 15 2.6.3 The Relationship between Perceived Entertainment and Advertising Effectiveness (AE) 15 2.6.4 The Relationship between Perceived Informativeness and Advertising Effectiveness 16 CHAPTER III: RESEARCH METHODOLOGY 18 3.1 Operational Definitions 18 3.2 Measurement Development 19 3.3 Filter Questions and Demographic Questions 21 3.3.1 Advertisement Design 21 3.4 Manipulation Check 24 3.5 Pre-tests 25 3.5.1 Pre-test 1 25 3.5.2 Pre-test 2 25 3.6 Procedures for the Formal Survey 25 3.7 Data Analysis 26 CHAPTER IV: ANALYSIS RESULTS 28 4.1 Survey Data Analysis 28 4.2 Data Collection 28 4.3 Descriptive Analysis for Demographic Characteristics 28 4.4 Manipulation Check 30 4.5 Validity and Reliability Analysis 30 4.6 Tests of Hypotheses 31 4.6.1 Testing the Relationship among Different Banner Ads to Perceived Entertainment (H1) and Perceived Informativeness (H2) 31 4.6.2 Testing the Relationship among Perceived Entertainment & Perceived Informativeness to Advertisement Effectiveness (H3 & H4) 33 4.7 Discussion 35 4.7.1 Banner Ads' Influence on Perceived Entertainment and Informativeness 35 4.7.2 Implications for Advertisement Effectiveness 35 4.7.3 Practical Considerations and Future Directions 35 CHAPTER V: RESEARCH CONCLUSION 37 5.1 Finding Summary 37 5.2 Managerial Implications 39 5.3 Limitations and Recommendations for Future Research 40 REFERENCES 43

    References
    Abbasi, A. Z., Tsiotsou, R. H., Hussain, K., & Rather, R. A. (2023). Investigating the impact of social media images’ value, consumer engagement, and involvement on eWOM of a tourism destination: A transmittal mediation approach. Journal of Retailing and Consumer Services, 71(2023), 1-15. Elsevier. https://doi.org/10.1016/j.jretconser.2022.103231
    Ab Hamid, M. R., Sami, W., & Mohmad Sidek, M. H. (2017). Discriminant validity assessment: Use of Fornell & Larcker criterion versus HTMT criterion. Journal of Physics: Conference Series, 890(1), 012163. IOP Publishing. 10.1088/1742-6596/890/1/012163
    Abzari, M., Ghassemi, R. A., & Vosta, L. N. (2014). Analyzing the effect of social media on brand attitude and purchase intention: the case of Iran Khodro company. Procedia - Social and Behavioral Sciences, 143(2014), 822-826.
    Akar, E., & Dalgic, T. (2018). Understanding Online Consumers’ Purchase Intentions: A Contribution from Social Network Theory. Behaviour & Information Technology, 37(5), 473-487. Taylor and Francis. https://doi.org/10.1080/0144929X.2018.1456563
    Albarq, A. N. (2021). Effect of Web atmospherics and satisfaction on purchase behavior: stimulus–organism– response model. Future Business Journal, 7(1), 62-69. Springer Open. https://doi.org/10.1186/s43093-021-00107-3
    Belanche, D., Flavián, C., & Pérez-Rueda, A. (2017). Understanding Interactive Online Advertising: Congruence and Product Involvement in Highly and Lowly Arousing, Skippable Video Ads. Journal of Interactive Marketing, 37(2017), 75-88. Elsevier. http://dx.doi.org/10.1016/j.intmar.2016.06.004
    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, 1-11. Ibima Publishing. https://www.airitilibrary.com/Common/Click_DOI?DOI=10.5171/2010.130147
    Centobelli, P., Cerchione, R., Esposito, E., Passaro, R., & Shashi. (2021). Determinants of the transition towards circular economy in SMEs: A sustainable supply chain management perspective. International Journal of Production Economics, 242, 108297. Elsevier. https://doi.org/10.1016/j.ijpe.2021.108297
    Chen, Q., & Wells, W. D. (1999). Attitude toward the site. Journal of Advertising Research, 39(5), 27-38. Gale. https://link.gale.com/apps/doc/A111508662/AONE?u=anon~d30e3eaf&sid=googleScholar&xid=cb64a754
    Chen, W. K., Ling, C. J., & Chen, C. W. (2023). What affects users to click social media ads and purchase intention? The roles of advertising value, emotional appeal and credibility. Asia Pacific Journal of Marketing and Logistics, 35(8), 1900-1916. Emerald. 10.1108/APJML-01-2022-0084
    Cheng, Z., Shao, B., & Zhang, Y. (2022). Effect of Product Presentation Videos on Consumers’ Purchase Intention: The Role of Perceived Diagnosticity, Mental Imagery, and Product Rating. Frontier Psychology, 13(1), 812579. https://doi.org/10.3389/fpsyg.2022.812579
    Choi, H., Kim, J., & Kim, B. (2018). Consumer Response to Advertising Endorsers’ Sexual Information: Western Individualism Vs. Eastern Confucian Conservatism. Journal of Promotion Management, 24(4), 459–483. Taylor & Francis. https://doi.org/10.1080/10496491.2017. 1380110
    Chung, J. Y., & Chen, C. C. (2018). The impact of country and destination images on destination loyalty: a construal-level-theory perspective. Asia Pacific Journal of Tourism Research, 23(1), 56-67. Taylor and Francis. https://doi.org/10.1080/10941665.2017.1399917
    Churchill, G. A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64–73. https://doi.org/10.1177/002224377901600110
    Circana. (2023, April 27). US Beauty Industry Growth Streak: Q1 Sales Grew By Double Digits, Circana Reports. US Beauty Industry Growth Streak. Retrieved January 16, 2024, from https://www.npd.com/news/press-releases/2023/us-beauty-industry-growth-streak-q1-sales-grew-by-double-digits-circana-reports/
    Cook, D. L., & Coupey, E. (1998). Consumer behavior and unresolved regulatory issues in electronic marketing. Journal of Business Research, 41(3), 231-238. https://doi.org/10.1016/S0148-2963(97)00066-0
    Deci, E. L., & Ryan, R. M. (1985). The general causality orientations scale: Self-determination in personality. Journal of Research in Personality, 19(2), 109-134. https://doi.org/10.1016/0092-6566(85)90023-6
    De Leon-Martinez, S. (2023, September 18-22). Understanding User Behavior in Carousel Recommendation Systems for Click Modeling and Learning to Rank. In 17th ACM Conference on Recommender Systems (RecSys '23), September 18–22, 2023, Singapore. https://doi.org/10.48550/arXiv.2307.0186
    Ducoffe, R. H. (1996). Advertising value and advertising on the web. Journal of advertising research, 36(5), 21. Gale. http://dx.doi.org/10.1080/135272600750036364
    Eighmey, J. (1997). Profiling user responses to commercial websites. Journal of Advertising Research, 37(3), 59-67.
    Flavián, C., Gurrea, R., & Orús, C. (2016). Choice confidence in the webrooming purchase process: The impact of online positive reviews and the motivation to touch. Journal of Consumer Behaviour, 15(5), 459-476. Wiley. https://doi.org/10.1002/cb.1585
    Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. Sage. https://doi.org/10.1177/002224378101800104
    Foroudi, P. (2019). Influence of brand signature, brand awareness, brand attitude, brand T reputation on hotel industry’s brand performance. International Journal of Hospitality Management, 76, 271-285. https://doi.org/10.1016/j.ijhm.2018.05.016
    Fortin, D. R., & Dholakia, R. R. (2005). Interactivity and vividness effects on social presence and involvement with a web-based advertisement. Journal of Business Research, 58, 387-396. Science Direct. 10.1016/S0148-2963(03)00106-1
    Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (Pearson new internat. ed). Harlow: Pearson.
    Hausman, A. V., & Siekpe, J. S. (2008). The effect of web interface features on consumer online purchase intentions. Journal of Business Research, 62(2008), 5-13. Elsevier. 10.1016/j.jbusres.2008.01.018
    He, Z., Deng, N., Li, X., & Gu, H. (2022). How to “Read” a Destination from Images? Machine Learning and Network Methods for DMOs’ Image Projection and Photo Evaluation. Journal of Travel Research, 61(3), 597-619. Sage. https://doi.org/10.1177/0047287521995134
    Hsieh, S. H., Lee, C. T., & Tseng, T. H. (2021). Branded app atmospherics: Examining the effect of pleasure–arousal–dominance in brand relationship building. Journal of Retailing and Consumer Services, 60(1), 102482. https://doi.org/10.1016/j.jretconser.2021.102482
    Huang, J. C. (2021). Gender and celebrity scandals: a cross-cultural examination on celebrity endorsement. Journal of Promotion Management, 27(1), 133-150. https://doi.org/10.1080/10496491.2020.1809593
    Husssain, A., Ting, D. H., Abbasi, A. Z., & Rehman, U. (2023). Integrating the SOR Model to Examine Purchase Intention Based on Instagram Sponsored Advertising. Journal of Promotion Management, 29(1), 77-105. Taylor and Francis. https://doi.org/10.1080/10496491.2022.2108185
    Jacoby, J. (2002). Stimulus-Organism-Response Reconsidered: An Evolutionary Step in Modeling (Consumer) Behavior. Journal of Consumer Psychology, 12(1), 51-57. Elsevier. https://doi.org/10.1207/S15327663JCP1201_05
    JD Research Institute. (2020, March 8). 2019 Jīng dōng shāng pǐn duǎn piàn bào gào [2019 JD.com Product Short Film Report]. 199IT.com. Retrieved March 1, 2021, from http://www.199it.com/archives/1017100.html
    Kahn, B. K., Strong, D. M., & Wang, R. Y. (2002). Information quality benchmarks: product and service performance. Communications of the ACM, 45(4), 184-192. https://doi.org/10.1145/505248.506007
    Kim, M. J., Lee, C. K., & Jung, T. (2020). Exploring Consumer Behavior in Virtual Reality Tourism Using an Extended Stimulus-Organism-Response Model. Journal of Travel Research, 59(1), 69-89. Sage. https://doi.org/10.1177/0047287518818915
    Kimiagari, S., & Malafe, N. S. A. (2021). The role of cognitive and affective responses in the relationship between internal and external stimuli on online impulse buying behavior. Journal of Retailing and Consumer Services, 61(1), 1-18. Elsevier.
    Klein, L. R. (2003). Creating virtual product experiences: The role of telepresence. Journal of Interactive Marketing, 17(1), 41-55. https://doi.org/10.1002/dir.10046
    Kumar, A., & Tan, Y. (2015). The Demand Effects of Joint Product Advertising in Online Videos. Management Science, 61(8), 1921-1937. JSTOR. https://doi.org/10.1287/mnsc.2014.2086
    Kurniawan, A. D. (2018). Aspek Pembentuk Consumer Attitude Serta Implikasinya pada Purchase Intention: Studi pada Konteks Online Video Advertising. Doctoral dissertation, STIE Indonesia Banking School, 1-138. http://repository.ibs.ac.id/id/eprint/45
    Larson, M. G. (2008). Analysis of Variance. Circulation, 117, 115-121. https://doi.org/10.1161/CIRCULATIONAHA.107.654335
    Lavuri, R. (2023). Intrinsic factors affecting online impulsive shopping during the COVID-19 in emerging markets. International Journal of Emerging Markets, 18(4), 958-977. Emerald Insight. https://doi.org/10.1108/IJOEM-12-2020-1530
    Lee, C. C., & Hsieh, M. C. (2009). The Influence of Mobile Self-Efficacy on Attitude towards Mobile Advertising. 2009 International Conference on New Trends in Information and Service Science, 1231-1236. IEEE. https://doi.org/10.1109/NISS.2009.91
    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, 117(6), 1011-1036. Emerald. https://doi.org/10.1108/IMDS-06-2016-0229
    Lee, W. N., & Choi, S. M. (2005). The Role of Horizontal and Vertical Individualism and Collectivism in Online Consumers’ Responses toward Persuasive Communication on the Web. Journal of Computer-Mediated Communication, 11(1), 317-336. Oxford Academic. https://doi.org/10.1111/j.1083-6101.2006.tb00315.x
    Leiner, D. J. (2019). too fast, too straight, too weird: Non-reactive indicators for meaningless data in internet surveys. Survey Research Methods, 13(3), 229-248. https://doi.org/10.18148/srm/2019.v13i3.7403
    Li, J., Xu, X., & Ngai, E. W.T. (2023). Presentational effects of photos and text in electronic word-of-mouth on consumer decisions. Internet Research, 33(2), 473-499. Emerald. https://doi.org/10.1108/INTR-03-2021-0143
    Ling, K. C., Chai, L. t., & Piew, T. H. (2010). The Effects of Shopping Orientations, Online Trust and Prior Online Purchase Experience toward Customers’ Online Purchase Intention. International Business Research, 3(3), 63-76. 10.5539/ibr.v3n3p63
    Luna-Nevarez, C., & Torres, I. M. (2015). Consumer Attitudes Toward Social Network Advertising. Journal of Current Issues & Research in Advertising, 36(1), 1-19. https://doi.org/10.1080/10641734.2014.912595
    Maharani, S. P., Nugrahani, R. U., & Abdullah, N. N. (2023). Pengaruh Advertorial Dekoruma Experience Center terhadap Brand Awareness Dekoruma [The influence of dekoruma experience center advertorials on dekoruma brand awareness]. Jurnal Ilmu Komunikasi UHO: Jurnal Penelitian Kajian Ilmu Sosial dan Informasi, 8(3), 469-44http://dx.doi.org/ 10.52423/jikuho.v8i3.61
    Martins, J., Costa, C., Oliveira, T., Gonçalves, R., & Branco, F. (2019). How smartphone advertising influences consumers' purchase intention. Journal of Business Research, 94, 378-387. Elsevier. https://doi.org/10.1016/j.jbusres.2017.12.047
    McKinsey & Company. (2023, May 22). The State of Fashion: Beauty. The beauty market in 2023: A special State of Fashion report. https://www.mckinsey.com/industries/retail/our-insights/the-beauty-market-in-2023-a-special-state-of-fashion-report
    Mehrabian, A., & Russell, J. A. (1980). An Approach to Environmental Psychology. MIT Press. https://mitpress.mit.edu/9780262630719/an-approach-to-environmental-psychology/
    Milne, G. R., & Gordon, M. E. (1993). Direct Mail Privacy-Efficiency Trade-offs within an Implied Social Contract Framework. Journal of Public Policy & Marketing, 12(2), 206-215. Sage. https://doi.org/10.1177/074391569101200206
    Mo, L., Zhang, X., Lin, Y., Yuan, Z., & Peng, Z. (2023). Consumers’ Attitudes towards Online Advertising: A Model of Personalization, Informativeness, Privacy Concern and Flow Experience. Sustainability, 15, 4090. https://doi.org/10.3390/su15054090
    Moorman, M., Neijens, P. C., & Smit, E. G. (2002). The Effects of Magazine-Induced Psychological Responses and Thematic Congruence on Memory and Attitude toward the Ad in a Real-Life Setting. Journal of Advertising, 31(4), 27-40. JSTOR. https://www.jstor.org/stable/4189235
    Money, R. B., Shimp, T. A., & Sakano, T. (2006). Celebrity Endorsements in Japan and the United States: Is Negative Information All That Harmful? Journal of advertising research, 46(1), 113-123. Research Gate. 10.2501/S0021849906060120
    Nagar, K. (2015). Modeling the Effects of Green Advertising on Brand Image: Investigating the Moderating Effects of Product Involvement Using Structural Equation. Journal of Global Marketing, 28(3-5), 152-171. Taylor and Francis. http://dx.doi.org/10.1080/08911762.2015.1114692
    Nguyen, H. H., Nguyen-Viet, B., Nguyen, Y. T. H., & Le, T. H. (2022). Understanding online purchase intention: the mediating role of attitude towards advertising. Cogent Business & Management, 9(1), 2095950. Taylor and Francis. https://doi.org/10.1080/23311975.2022.2095950
    Nguyen Viet, B., & Nguyen Anh, T. (2021). The role of selected marketing mix elements in consumer based brand equity creation: milk industry in Vietnam. Journal of Food Products Marketing, 27(2), 72-88. Taylor and Francis. https://doi.org/10.1080/10454446.2021.1892007
    NielsenIQ. (2022, July). Digital Depth Analysis: The e-commerce experience audit [How retailers have improved the digital shelf, where they still trail, and how to better serve shoppers through search, product detail pages, personalization, and more.]. Nielsen Consumer LLC. https://nielseniq.com/wp-content/uploads/sites/4/2022/08/NielsenIQ-Digital-Depth-Analysis_The-ecommerce-experience-audit-July-2022.pdf
    NIQ Brandbank. (2023). Spotlight on: The state of beauty industry in 2023. Nielsen Consumer LLC. https://nielseniq.com/wp-content/uploads/sites/4/2023/04/Spotlight-on-the-beauty-industry-in-2023.pdf
    Nosto. (2023). The Future of Ecommerce Search [A three-part research study conducted in 2023 uncovering expectation gaps between what shoppers want from site search, what brands think they’re delivering, and what brands are actually delivering.]. Nest. Retrieved October, 2023, from https://pages.nosto.com/rs/339-ZHG-780/images/The%20Future%20of%20Ecommerce%20Search.pdf
    Noguti, V., & Waller, D. S. (2020). Motivations to use social media: effects on the perceived informativeness, entertainment, and intrusiveness of paid mobile advertising. Journal of Marketing Management, 36(15-16), 1527-1555.
    Park, E. J., Kim, E. Y., Funches, V. M., & Foxx, W. (2012). Apparel product attributes, web browsing, and e-impulse buying on shopping websites. Journal of Business Research, 65(11), 1583-1589. Elsevier. https://doi.org/10.1016/j.jbusres.2011.02.043
    Parkkinen, S. (2023, February 16). 3 Challenges Holding Back The Business Of Beauty. Forbes. Retrieved September 21, 2023, from https://www.forbes.com/sites/forbestechcouncil/2023/02/16/3-challenges-holding-back-the-business-of-beauty/?sh=30d75422d95d
    Parreño, J. M., Sanz‐Blas, S., Ruiz‐Mafé, C., & Aldás‐Manzano, J. (2013). Key factors of teenagers’ mobile advertising acceptance. Industrial Management & Data Systems, . A. (2003). Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model. International Journal of Electronic Commerce, 7(3), 101-134. https://www.jstor.org/stable/27751067
    Peng, L., Cui, G., Chung, Y., & Zheng, W. (2020). The Faces of Success: Beauty and Ugliness Premiums in e-Commerce Platforms. Journal of Marketing, 84(4), 67-85. Lingnan Scholars. https://doi.org/10.1177/0022242920914861
    Pounders, K. R., Babin, B. J., & Close, A. G. (2015). All the same to me: outcomes of aesthetic labor performed by frontline service providers. Journal of the Academy of Marketing Science, 43, 670-693. 10.1007/s11747-014-0407-4
    Qu, L., & Chau, P. Y.K. (2023). Nudge with interface designs of online product review systems – Effects of online product review system designs on purchase behavior. Information Technology & People, 36(4), 1555-1579. https://doi.org/10.1108/ITP-11-2020-0802
    Rahman, S. U., & Nguyen-Viet, B. (2023). Towards sustainable development: Coupling green marketing strategies and consumer perceptions in addressing greenwashing. Business Strategy and the Environment, 32, 2420-2433. https://doi.org/10.1002/bse.3256
    Rathee, S., & Milfeld, T. (2023). Sustainability advertising: literature review and framework for future research. International Journal of Advertising, 1-29. https://doi.org/10.1080/02650487.2023.2175300
    Reinartz, W., Wiegand, N., & Imschloss, M. (2019). The impact of digital transformation on the retailing value chain. International Journal of Research in Marketing, 36(2019), 350-366. Elsevier. https://doi.org/10.1016/j.ijresmar.2018.12.002
    Reuning, K., & Plutzer, E. (2020). Valid vs. Invalid Straightlining: The Complex Relationship Between Straightlining and Data Quality. Survey Research Methods, 14(5), 439-459. https://doi.org/10.18148/srm/2020.v14i5.7641
    Richard, M. O., Chebat, J. C., Yang, Z., & Putrevu, S. (2010). A proposed model of online consumer behavior: Assessing the role of gender. Journal of Business Research, 63(9-10), 926-934. https://doi.org/10.1016/j.jbusres.2009.02.027
    Shavitt, S., Lowrey, P., & Haefner, J. (1998). Public attitudes toward advertising: More favorable than you might think. Journal of Advertising Research, 38(4), 7-22.
    Shin, N., Kim, H., Lim, S., & Kim, C. (2014). The Effect of Brand Equity on Brand Attitude and Brand Loyalty in Exhibition. SHS Web of Conferences, 12, 01018. EDP Sciences. https://doi.org/10.1051/shsconf/20141201018
    Statista. (2021, October 30). Online beauty and personal care market size worldwide from 2013 to 2026 (in billion U.S. dollars). Statista. Retrieved May 16, 2023, from http://www.statista.com/statistics/1032031/global-online-beauty-market-size/
    Stewart, K., Dalakas, V., & Eells, D. (2023). If a Picture is Worth 1000 Words, How Much is a Video Worth: The Influence of Ad Format on Ticket Purchasers’ Ad Clicks. Journal of Promotion Management, 1-28. https://doi.org/10.1080/10496491.2023.2279767
    Sundar, S. S., & Kim, J. (2005). Interactivity and persuasion: Influencing attitudes with information and involvement. Journal of Interactive Advertising, 5(2), 5-18. https://doi.org/10.1080/15252019.2005.10722097
    3CE (Director). (2017). 3CE Red Recipe Lipstick [Film]. https://www.facebook.com/watch/?v=1623118014386950
    Tang, N. (2023, April 18). Navigating the Changing Beauty Landscape: 5 Powerful Insights on Shifting Consumer Preferences. LinkedIn. Retrieved December 26, 2023, from https://www.linkedin.com/pulse/navigating-changing-beauty-landscape-5-powerful-insights-nikki-tang-
    Teo, T. S. H. (2002). Attitudes toward online shopping and the Internet. Behavior & Information Technology, 21(4), 259-271. Taylor and Francis. https://doi.org/10.1080/0144929021000018342
    Till, B. D., & Shimp, T. A. (1998). Endorsers in Advertising: The Case of Negative Celebrity Information. Journal of Advertising, 27(1), 67-82. ProQuest. https://doi.org/10.1080/00913367.1998.10673543
    Uyanìk, G. K., & Güler, N. (2013). A study on multiple linear regression analysis. Procedia - Social and Behavioral Sciences, 106, 234-240. https://doi.org/10.1016/j.sbspro.2013.12.027
    Verma, H., & Singh, S. (2019). An exploration of e-impulse buying. International Journal of Electronic Marketing and Retailing, 10(1), 45-59. Inderscience. 10.1504/IJEMR.2019.096626
    Vijay, T. S., Prashar, S., & Sahay, V. (2019). The Influence of Online Shopping Values and Web Atmospheric Cues on E-Loyalty: Mediating Role of E- Satisfaction. Journal of Theoretical and Applied Electronic Commerce Research, 14(1), 1-15. 10.4067/S0718-18762019000100102
    Vonkeman, C., Verhagen, T., & Dolen, W. v. (2017). Role of local presence in online impulse buying. Information & Management, 54(8), 1038-1048. Science Direct. https://doi.org/10.1016/j.im.2017.02.008
    Wang, C., Zhang, P., Choi, R., & D'Eredita, M. (2002). Understanding Consumers Attitude toward Advertising. Eighth Americas Conference on Information Systems, 158. https://aisel.aisnet.org/amcis2002/158
    Xu, P., Chen, L., & Santhanam, R. (2015). Will video be the next generation of e-commerce product reviews? Presentation format and the role of product type. Decision Support Systems, 73, 85-96. http://dx.doi.org/10.1016/j.dss.2015.03.001
    Yang, Y., Wang, Y., & Zhao, J. (2023). Effect of user-generated image on review helpfulness: Perspectives from object detection. Electronic Commerce Research and Applications, 57, 101232. https://doi.org/10.1016/j.elerap.2022.101232
    Zahavy, T., Krishnan, A., Magnani, A., & Mannor, S. (2018). Is a Picture Worth a Thousand Words? A Deep Multi-Modal Architecture for Product Classification in E-Commerce. The Thirtieth AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-18), 13(1), 7873-7880.
    Zha, X. j., Li, J., & Yan, Y. l. (2015). Advertising value and credibility transfer: attitude towards web advertising and online information acquisition. Behaviour & Information Technology, 34(5), 520-532. Taylor & Francis. https://doi.org/10.1080/0144929X.2014.978380
    Zhang, M., Ren, C., Wang, G. A., & He, Z. (2018). The impact of channel integration on consumer responses in omni- channel retailing: The mediating effect of consumer empowerment. Electronic Commerce Research and Applications, 28(1), 181-193. Elsevier. https://doi.org/10.1016/j.elerap.2018.02.002
    Zhu, B., Kowatthanakul, S., & Satanasavapak, P. (2020a). Generation Y consumer online repurchase intention in Bangkok: Based on Stimulus-Organism-Response (SOR) model. International Journal of Retail & Distribution Management, 48(1), 53-69. Emerald. https://doi.org/10.1108/IJRDM-04-2018-0071
    Zhu, L., Li, H., Wang, F. K., He, W., & Tian, Z. (2020b). How online reviews affect purchase intention: a new model based on the stimulus-organism- response (SOR) framework. Aslib Journal of Information Management, 72(4), 463-488. Emerald. https://doi.org/10.1108/AJIM-11-2019-0308

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