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Title: | 人形與卡通虛擬影響者在行銷中的應用 — 訊息類型的調節作用 Human-like and Cartoon-like Virtual Influencer in Marketing - Moderating Role of Message Type |
Authors: | 文濼婷 Gi, Man Lok Ting Gi |
Contributors: | 鄭濬浩 Chung, June-Ho 文濼婷 Man Lok Ting Gi Gi |
Keywords: | 虛擬影響者 社群媒體 訊息類型 吸引力 消費者態度 Virtual influencer Social media Message type Attractiveness Consumer attitude |
Date: | 2024 |
Issue Date: | 2024-08-05 11:58:25 (UTC+8) |
Abstract: | 近年來,虛擬角色的應用為行銷帶來新的趨勢,虛擬影響者也成為社交媒體上新形式的影響者。社交媒體長期以來被企業採用,以取得卓越的行銷成效。傳統上,企業依賴人類影響者來代言產品並傳達行銷訊息。隨著電腦與數位技術的進步,虛擬影響者的引入吸引了相當多的關注和影響力。本研究旨在探討虛擬影響者類型與廣告效果之間錯綜複雜的關係,以及訊息類型的調節效應。本研究採用了兩個 2 (虛擬影響者類型:人類化 vs. 卡通化) × 2 (訊息類型:效益 vs. 享樂) 的實驗性研究,並透過Amazon MTurk (N = 224)和 Prolific(N = 182)進行。研究結果顯示,與卡通化虛擬影響者相比,人類化虛擬影響者的吸引力更高,而吸引力與消費者對產品的態度呈正相關。此外,吸引力在虛擬影響者類型與消費者態度之間起中介作用,而訊息類型調節了這種效應。本研究在理論上和管理上為AI行銷和消費者行為領域做出貢獻,揭示了虛擬形象和訊息特徵之間的相互作用。本研究增進了對產品宣傳效果的理解,為從業者在這一新興影響者類別提供引導。 In recent years, there is an emergence of a new trend of marketing, involving the empowerment of avatars as a new form of social media influencers. Social media has long been adopted by companies, which are renowned for achieving exceptional marketing outcomes. Traditionally, companies have relied on human influencers to endorse products and convey marketing messages. With the advancements in computer and digital technologies, virtual influencers have been introduced, attracting significant awareness for the impact they bring about. This paper aims to explore the intricate relationship between virtual influencer type and advertisement effectiveness, with a focus on the moderating effects of message type. Two 2 (Virtual influencer type: Human-like vs. Cartoon-like) × 2 (Message type: Utilitarian vs. Hedonism) between-subjects experimental design were employed via Amazon MTurk (N = 224) and Prolific (N = 182). Our study reveals that human-like virtual influencers elicit higher levels of perceived attractiveness and attractiveness is positively correlated with consumers' attitude towards the endorsed product. Additionally, attractiveness mediates the relationship between virtual influencer type and consumer attitude, while message type moderates this effect. This study contributes valuable insights to the field of AI marketing and consumer behavior, both theoretically and managerially, shedding light on the dynamic interplay between virtual representations and message characteristics. It also enhances the understanding of endorsement effectiveness, offering guidance for practitioners regarding this emerging category of influencers. |
Reference: | Ahn, R., Cho, S. Y., and Tsai, W. S. (2022). Demystifying Computer-Generated Imagery (CGI) Influencers: The effect of perceived anthropomorphism and social presence on brand outcomes. Journal of Interactive Advertising, 22(3), 327–335. https://doi.org/10.1080/15252019.2022.2111242 Allal-Chérif, O., Puertas, R., and Carracedo, P. (2024). Intelligent influencer marketing: how AI-powered virtual influencers outperform human influencers. Technological Forecasting and Social Change/Technological Forecasting and Social Change, 200, 123113. https://doi.org/10.1016/j.techfore.2023.123113 Arsenyan, J., and Mirowska, A. (2021). Almost human? A comparative case study on the social media presence of virtual influencers. International Journal of Human-computer Studies, 155, 102694. https://doi.org/10.1016/j.ijhcs.2021.102694 Audrezet, A. and Koles, B. (2023). Virtual Influencer as a brand avatar in interactive marketing. The Palgrave Handbook of Interactive Marketing, 353–376. https://doi.org/10.1007/978-3-031-14961-0_16 Bartneck, C., Kulić, D., Croft, E. A., and Zoghbi, S. (2008). Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. International Journal of Social Robotics, 1(1), 71–81. https://doi.org/10.1007/s12369-008-0001-3 Batra, R. and Ahtola, O. T. (1991). Measuring the hedonic and utilitarian sources of consumer attitudes. Marketing Letters, 2(2), 159–170. https://doi.org/10.1007/bf00436035 Biocca, F., Harms, C., and Burgoon, J. K. (2003). Toward a more robust theory and measure of social presence: Review and suggested criteria. Presence: Teleoperators and Virtual Environments, 12(5), 456–480. https://doi.org/10.1162/105474603322761270 Bower, A. B., & Landreth, S. (2001). Is beauty best? Highly versus normally attractive models in advertising. Journal of advertising, 30(1), 1-12. Byun, K. J., and Ahn, S. J. (2023). A Systematic Review of Virtual Influencers: Similarities and Differences between Human and Virtual Influencers in Interactive Advertising. Journal of Interactive Advertising, 23(4), 293–306. https://doi.org/10.1080/15252019.2023.2236102 Caballero, M. J., and Solomon, P. J. (1984). Effects of model attractiveness on sales response. Journal of Advertising, 13(1), 17–33. https://doi.org/10.1080/00913367.1984.10672870 Chang, C. (2013). Imagery fluency and narrative advertising effects. Journal of Advertising, 42(1), 54–68. https://doi.org/10.1080/00913367.2012.749087 Crowley, A.E., Spangenberg, E.R. and Hughes, K.R. (1992). Measuring the hedonic and utilitarian dimensions of attitudes toward product categories. Marketing Letters 3, 239–249. https://doi.org/10.1007/BF00994132 Dhar, R., and Wertenbroch, K. (2000). Consumer Choice between Hedonic and Utilitarian Goods. Journal of Marketing Research, 37(1), 60-71. https://doi.org/10.1509/jmkr.37.1.60.18718 Dubosc, C., Gorisse, G., Christmann, O., Fleury, S., Poinsot, K., & Richir, S. (2021). Impact of avatar facial anthropomorphism on body ownership, attractiveness and social presence in collaborative tasks in immersive virtual environments. Computers & Graphics, 101, 82–92. https://doi.org/10.1016/j.cag.2021.08.011 Epley, N., Waytz, A., and Cacioppo, J. T. (2007). On seeing human: A three-factor theory of anthropomorphism. Psychological Review, 114(4), 864–886. https://doi.org/10.1037/0033-295x.114.4.864 Feine, J., Gnewuch, U., Morana, S., & Maedche, A. (2019). A taxonomy of social cues for conversational agents. International Journal of Human-computer Studies, 132, 138–161. https://doi.org/10.1016/j.ijhcs.2019.07.009 Flavin, C., Gurrea, R., and Ors, C. (2017). The influence of online product presentation videos on persuasion and purchase channel preference: The role of imagery fluency and need for touch. Telematics and Informatics, 34(8), 1544–1556. https://doi.org/10.1016/j.tele.2017.07.002 Gambino, A., Fox, J., and Ratan, R. (2020). Building a stronger CASA: extending the Computers are social Actors paradigm. Human Machine Communication Journal, 1, 71–86. https://doi.org/10.30658/hmc.1.5 Grisaffe, D. B., and Nguyen, H. (2011). Antecedents of emotional attachment to brands. Journal of Business Research, 64(10), 1052–1059. https://doi.org/10.1016/j.jbusres.2010.11.002 Hanus, M. D., and Fox, J. (2015). Persuasive avatars: The effects of customizing a virtual salesperson׳ s appearance on brand liking and purchase intentions. International Journal of Human-Computer Studies, 84, 33-40. Hirschman, E. C., and Holbrook, M. B. (1982). Hedonic consumption: Emerging concepts, methods and propositions. Journal of Marketing, 46(3), 92. https://doi.org/10.2307/1251707 Hlee, S., Lee, J., Yang, S., & Koo, C. (2019). The moderating effect of restaurant type on hedonic versus utilitarian review evaluations. International Journal of Hospitality Management, 77, 195–206. https://doi.org/10.1016/j.ijhm.2018.06.030 Holzwarth, M., Janiszewski, C., and Neumann, M. M. (2006). The influence of avatars on online consumer shopping behavior. Journal of Marketing, 70(4), 19–36. https://doi.org/10.1509/jmkg.70.4.19 Jin, S. A., and Bolebruch, J. (2009). Avatar-Based advertising in second life. Journal of Interactive Advertising, 10(1), 51–60. https://doi.org/10.1080/15252019.2009.10722162 Jin, S. V., Muqaddam, A., and Ryu, E. (2019). Instafamous and social media influencer marketing. Marketing Intelligence and Planning, 37(5), 567–579. https://doi.org/10.1108/mip-09-2018-0375 Khamis, S., Ang, L., and Welling, R. (2016). Self-branding, ‘micro-celebrity’ and the rise of Social Media Influencers. Celebrity Studies, 8(2), 191–208. https://doi.org/10.1080/19392397.2016.1218292 Ki, C. W. C., Cuevas, L. M., Chong, S. M., and Lim, H. (2020). Influencer marketing: Social media influencers as human brands attaching to followers and yielding positive marketing results by fulfilling needs. Journal of Retailing and Consumer Services, 55, 102133. https://doi.org/10.1016/j.jretconser.2020.102133 Kim, D. Y., and Kim, H. Y. (2021). Trust me, trust me not: A nuanced view of influencer marketing on social media. Journal of Business Research, 134, 223–232. https://doi.org/10.1016/j.jbusres.2021.05.024 Kim, H., and Park, M. (2023). Virtual influencers’ attractiveness effect on purchase intention: A moderated mediation model of the Product–Endorser fit with the brand. Computers in Human Behavior, 143, 107703. https://doi.org/10.1016/j.chb.2023.107703 Kitchen, P. J., Kerr, G., Schultz, D. E., McColl, R., & Pals, H. (2014). The elaboration likelihood model: review, critique and research agenda. European Journal of Marketing, 48(11/12), 2033–2050. https://doi.org/10.1108/ejm-12-2011-0776 Lee, J. E., and Watkins, B. (2016). YouTube vloggers’ influence on consumer luxury brand perceptions and intentions. Journal of Business Research, 69(12), 5753–5760. https://doi.org/10.1016/j.jbusres.2016.04.171 Lim, E. A. C., and Ang, S. H. (2008). Hedonic vs. utilitarian consumption: A cross-cultural perspective based on cultural conditioning. Journal of business research, 61(3), 225-232. https://doi.org/10.1016/j.jbusres.2007.06.004 Lim, X., Radzol, A. R. B. M., Cheah, J., and Wong, M. W. (2017). The impact of social media influencers on purchase intention and the mediation effect of customer attitude. Asian Journal of Business Research, 7(2). https://doi.org/10.14707/ajbr.170035 Lou, C., and Yuan, S. (2019). Influencer Marketing: How message value and credibility affect consumer trust of branded content on social media. Journal of Interactive Advertising, 19(1), 58–73. https://doi.org/10.1080/15252019.2018.1533501 Masuda, H., Han, S. H., and Lee, J. (2022). Impacts of influencer attributes on purchase intentions in social media influencer marketing: Mediating roles of characterizations. Technological Forecasting and Social Change/Technological Forecasting and Social Change, 174, 121246. https://doi.org/10.1016/j.techfore.2021.121246 McCracken, G. (1989). Who is the Celebrity Endorser? Cultural Foundations of the Endorsement Process. Journal of Consumer Research, 16(3), 310. https://doi.org/10.1086/209217 McCroskey, J. C., and McCain, T. A. (1974). The measurement of interpersonal attraction. Speech Monographs, 41(3), 261–266. https://doi.org/10.1080/03637757409375845 McGuire, W. J. (1985). Chapter attitudes and attitude change. Handbook of social psychology, 233-346. Miao, F., Kozlenkova, I. V., Wang, H., Xie, T. and Palmatier, R. W. (2021). An emerging theory of avatar marketing. Journal of Marketing, 86(1), 67–90. https://doi.org/10.1177/0022242921996646 Mull, I., Wyss, J., Moon, E. and Lee, S.-E. (2015). An exploratory study of using 3D avatars as online salespeople. Journal of Fashion Marketing and Management, 19(2), 154–168. https://doi.org/10.1108/jfmm-05-2014-0033 Nass, C., Steuer, J., and Tauber, E. R. (1994). Computers are social actors. In Proceedings of the SIGCHI conference on Human factors in computing systems, 72-78. https://doi.org/10.1145/259963.260288 Nowak, K. L., and Rauh, C. (2005). The influence of the avatar on online perceptions of anthropomorphism, androgyny, credibility, homophily, and attraction. Journal of Computer-Mediated Communication, 11(1), 153-178. Park, C., and Moon, B. (2003). The relationship between product involvement and product knowledge: Moderating roles of product type and product knowledge type. Psychology and Marketing, 20(11), 977–997. https://doi.org/10.1002/mar.10105 Park, J., Lee, J. M., Xiong, V. Y., Septianto, F., and Seo, Y. (2021). David and Goliath: When and why Micro-Influencers are more persuasive than Mega-Influencers. Journal of Advertising, 50(5), 584–602. https://doi.org/10.1080/00913367.2021.1980470 Petty, R. E., Barden, J., and Wheeler, S. C. (2009). The Elaboration Likelihood Model of persuasion: Developing health promotions for sustained behavioral change. Emerging Theories in Health Promotion Practice and Research. http://psycnet.apa.org/record/2009-19878-007 Petty, R. E., & Cacioppo, J. T. (1981). Attitudes and Persuasion: Classic and contemporary approaches. http://ci.nii.ac.jp/ncid/BA28042055 Petty, R. E., and Cacioppo, J. T. (1984). Source factors and the elaboration likelihood model of persuasion. ACR North American Advances. http://www.acrwebsite.org/search/view-conference-proceedings.aspx?Id=6328 Petty, R. E., Cacioppo, J. T., & Schumann, D. (1983). Central and peripheral routes to advertising effectiveness: the moderating role of involvement. Journal of Consumer Research, 10(2), 135. https://doi.org/10.1086/208954 Saima, N., and Khan, M. A. (2020). Effect of social media influencer marketing on consumers’ purchase intention and the mediating role of credibility. Journal of Promotion Management, 27(4), 503–523. https://doi.org/10.1080/10496491.2020.1851847 Saldanha, N., Mulye, R., and Rahman, K. (2018). Who is the attached endorser? An examination of the attachment-endorsement spectrum. Journal of Retailing and Consumer Services, 43, 242–250. https://doi.org/10.1016/j.jretconser.2018.04.004 Sands, S., Campbell, C. L., Plangger, K., and Ferraro, C. (2022). Unreal influence: leveraging AI in influencer marketing. European Journal of Marketing, 56(6), 1721-1747. https://doi.org/10.1108/EJM-12-2019-0949 Saravanakumar, M., and SuganthaLakshmi, T. (2012). Social media marketing. Life science journal, 9(4), 4444-4451. Sheehan, B., Jin, H. S., and Gottlieb, U. (2020). Customer service chatbots: Anthropomorphism and adoption. Journal of Business Research, 115, 14–24. https://doi.org/10.1016/j.jbusres.2020.04.030 Short, J., Williams, E., and Christie, B. (1976). The Social Psychology of Telecommunications. London: John Wiley and Sons. Song, Y., and Luximon, Y. (2020). Trust in AI Agent: A Systematic Review of Facial Anthropomorphic trustworthiness for social robot design. Sensors, 20(18), 5087. https://doi.org/10.3390/s20185087 Statista (2024). Most popular social networks worldwide as of April 2024, ranked by number of monthly active users. Retrieved May 27, 2024, from https://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/ Stein, J., Breves, P. L., and Anders, N. (2022). Parasocial interactions with real and virtual influencers: The role of perceived similarity and human-likeness. New Media and Society, 146144482211029. https://doi.org/10.1177/14614448221102900 Thomas, V. L., and Fowler, K. (2021). Close encounters of the AI kind: Use of AI influencers as brand endorsers. Journal of Advertising, 50(1), 11–25. https://doi.org/10.1080/00913367.2020.1810595 TIME. 2018. The 25 Most Influential People on the Internet. https://time.com/5324130/most-influential-internet/ Torres, P., Augusto, M., and Matos, M. (2019). Antecedents and outcomes of digital influencer endorsement: An exploratory study. Psychology and Marketing, 36(12), 1267–1276. https://doi.org/10.1002/mar.21274 VanMeter, R. A., Grisaffe, D. B., and Chonko, L. B. (2015). Of “Likes” and “Pins”: The Effects of Consumers’ Attachment to Social Media. Journal of Interactive Marketing, 32, 70–88. https://doi.org/10.1016/j.intmar.2015.09.001 Von Der Pütten, A. M., Krämer, N. C., Gratch, J., and Kang, S. (2010). “It doesn’t matter what you are!” Explaining social effects of agents and avatars. Computers in Human Behavior, 26(6), 1641–1650. https://doi.org/10.1016/j.chb.2010.06.012 Voss, K. E., Spangenberg, E. R., and Grohmann, B. (2003). Measuring the Hedonic and Utilitarian Dimensions of Consumer Attitude. Journal of Marketing Research, 40(3), 310-320. https://doi.org/10.1509/jmkr.40.3.310.19238 Vrontis, D., Makrides, A., Christofi, M., and Thrassou, A. (2021). Social media influencer marketing: A systematic review, integrative framework and future research agenda. International Journal of Consumer Studies, 45(4), 617–644. https://doi.org/10.1111/ijcs.12647 Watanabe, K., and Ho, B. Q. (2023). Avatar-mediated service encounters: impacts and research agenda. Service Industries Journal, 43(3–4), 134–153. https://doi.org/10.1080/02642069.2023.2169277 Waytz, A., Cacioppo, J. T., and Epley, N. (2010). Who Sees Human?: The Stability and Importance of Individual Differences in Anthropomorphism. Perspectives on Psychological Science, 5(3), 219–232. https://doi.org/10.1177/1745691610369336 Wei, X., Chen, H., Ramirez, A., Jeon, Y., and Sun, Y. (2022). Influencers as endorsers and followers as consumers: Exploring the role of parasocial relationship, congruence, and followers’ identifications on Consumer–Brand Engagement. Journal of Interactive Advertising, 22(3), 269–288. https://doi.org/10.1080/15252019.2022.2116963 Yang, J., Chuenterawong, P., Lee, H. and Chock, T. M. (2023). Anthropomorphism in CSR endorsement: A comparative study on human- vs. Cartoon-like virtual influencers’ climate change messaging. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4145550 Yang, J., Chuenterawong, P., Lee, H. J., Tian, Y., and Chock, T. M. (2023). Human versus Virtual Influencer: The Effect of Humanness and Interactivity on Persuasive CSR Messaging. Journal of Interactive Advertising, 23(3), 275–292. https://doi.org/10.1080/15252019.2023.2189036 Yuan, C., Zhang, C., and Wang, S. (2022). Social anxiety as a moderator in consumer willingness to accept AI assistants based on utilitarian and hedonic values. Journal of Retailing and Consumer Services, 65, 102878. https://doi.org/10.1016/j.jretconser.2021.102878 Yee, N., Bailenson, J. N. and Rickertsen, K. (2007). A meta-analysis of the impact of the inclusion and realism of human-like faces on user experiences in interfaces. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/1240624.1240626 Zhang, Y., and Wang, S. (2023). The influence of anthropomorphic appearance of artificial intelligence products on consumer behavior and brand evaluation under different product types. Journal of Retailing and Consumer Services, 74, 103432. https://doi.org/10.1016/j.jretconser.2023.103432 |
Description: | 碩士 國立政治大學 國際經營與貿易學系 111351052 |
Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0111351052 |
Data Type: | thesis |
Appears in Collections: | [國際經營與貿易學系 ] 學位論文
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