Analyzing Online Shopping Behavior from the Perspective of Youtube: Do Vlog Content and Vlogger Characteristics Matter
Year 2021,
Volume: 18 Issue: 41, 3041 - 3065, 01.09.2021
Aslı Tolunay
,
Hüseyin Ekizler
Abstract
Video blogs (Vlogs) and video bloggers (Vloggers) have gained importance in marketing with their entertaining and educational content as they are attracting huge numbers of viewers and are therefore shaping many consumers’ attitudes and purchase decisions. Research on vlogs concentrated on content characteristics, vlogger characteristics and general vlog features. However, this stream of research is fragmented, mostly ignores vlog audience motivations and lacks empirical investigations that parsimoniously study influence of certain vlog and vlogger characteristics on consumers’ online purchase decisions. The purpose of this study is to explore the impact of vlog content value in terms of informativeness and entertainment and vlogger personal characteristics such as authoritative and engagement knowledge on consumers’ information satisfaction and further on their intention to shop online. With this aim, data were gathered via an online survey from 627 purposively sampled respondents and a theoretical structural equation model was tested. Vlog content’s informative and entertaining value and authoritative knowledge of the vlogger were found to be important factors explaining information satisfaction, whereas the effect of engagement knowledge on information satisfaction was insignificant. Furthermore, strong impact of information satisfaction on intention to shop online was determined. Managerial and theoretical implications are discussed in the paper.
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Online Alışveriş Davranışının Youtube Perspektifinden Analizi: Vlog İçeriği ve Vlogger Özellikleri Etkili Mi?
Year 2021,
Volume: 18 Issue: 41, 3041 - 3065, 01.09.2021
Aslı Tolunay
,
Hüseyin Ekizler
Abstract
Video blogları (Vlog'lar) ve video blog içerik üreticileri (Vlogger’lar), eğlenceli ve eğitici içerikleriyle çok sayıda izleyiciyi cezbettikleri için tüketicinin tutumlarını ve satın alma kararlarını şekillendirmelerinden dolayı pazarlamada önem kazanmıştır. Vloglar üzerine yapılan çalışmalar içerik özellikleri, vlogger özellikleri ve genel vlog özellikleri üzerinde yoğunlaşmıştır. Ancak bu çalışmaların birbirinden kopuk olduğu ve vlog izleyen kitlenin motivasyonlarını göz ardı ettiği ve belirli vlog içeik ve vlogger özelliklerinin tüketicilerin çevrimiçi satın alma kararlarına etkisini ayrıntılı bir şekilde inceleyen empirik çalışmalardan yoksun olduğu görülmektedir. Bu çalışmanın amacı, bilgi ve eğlence açısından vlog içerik değerinin ve yetkili bilgisi ve katılım bilgisi gibi vlogger kişisel özelliklerinin tüketicilerin bilgi memnuniyeti ve ayrıca çevrimiçi alışveriş yapma niyetleri üzerindeki etkisini araştırmaktır. Bu amaçla, veriler kasıtlı olarak örneklenmiş 627 katılımcıdan çevrimiçi anket yoluyla toplanmış ve teorik bir yapısal eşitlik modeli test edilmiştir. Vlog içeriğinin bilgilendirici ve eğlenceli değeri ve vloggerın yetkili bilgisi, bilgi memnuniyetini açıklayan önemli faktörler olarak bulunurken, etkileşim bilgisinin bilgi memnuniyeti üzerindeki etkisi anlamlı bulunmamıştır. Ayrıca bilgi memnuniyetinin online alışveriş yapma niyeti üzerindeki güçlü etkisi tespit edilmiştir. Yönetsel ve teorik çıkarımlar makalede tartışılmaktadır.
References
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- Anderson, J. C. and Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach, Psychological Bulletin, 103(May), 411-423.
- Arviansyah, Dhaneswara, A. P., Hidayanto, A. N., and Zhu, Y. Q. (2018). Vlogging: Trigger to impulse buying behaviors. In PACIS, 249-262.
- Bagozzi, R. and Dholakia, U. (2002). Intentional social action in virtual communities, Journal of Interactive Marketing, 16(2), 2-21.
- Barker, M., Barker, D. I., Bormann, N. F., and Neher, K. E. (2012). Social media marketing: A strategic approach. Nelson Education.
- Batra, R., and Keller, K. L. (2016). Integrating marketing communications: New findings, new lessons, and new ideas. Journal of Marketing, 80(6), 122-145.
- Biswas, D., Biswas, A., and Das, N. (2006). The differential effects of celebrity and expert endorsements on consumer risk perceptions. The role of consumer knowledge, perceived congruency, and product technology orientation. Journal of advertising, 35(2), 17-31.
- Blythe, M., and Cairns, P. (2009, April). Critical methods and user generated content: The iPhone on YouTube. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 25(2),1467-1476.
- Brouwer, B. (2015). YouTube now gets over 400 hours of content uploaded every minute. Retrieved December 20, 2020, from https://www.tubefilter.com/2015/07/26/youtube-400-hourscontent-every-minute/
- Burgess, J. E., and Green, J. B. (2009). The entrepreneurial vlogger: Participatory culture beyond the professional-amateur divide. 89-107. National Library of Sweden/Wallflower Press.
- Chapple, C., and Cownie, F. (2017). An investigation into viewers’ trust in and response towards disclosed paid-for-endorsements by YouTube lifestyle vloggers. Journal of promotional communications, 5(2), 110-136.
- Cheung, M. L., Pires, G. D., Rosenberger III, P. J., Leung, W. K., and Ting, H. (2020). Investigating the role of social media marketing on value co-creation and engagement: An empirical study in China and Hong Kong. Australasian Marketing Journal, AMJ, 29(2), 118-131. https://doi.org/10.1016/j.ausmj.2020.03.006.
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- Choi, W., and Lee, Y. (2019). Effects of fashion vlogger attributes on product attitude and content sharing. Fashion and Textiles, 6(1), 1-18.
- Cunningham, S., and Craig, D. (2017). Being ‘really real’on YouTube: authenticity, community and brand culture in social media entertainment. Media International Australia, 164(1), 71-81.
- De Jans, S., Cauberghe, V., and Hudders, L. (2018). How an advertising disclosure alerts young adolescents to sponsored vlogs: The moderating role of a peer-based advertising literacy intervention through an informational vlog. Journal of Advertising, 47(4), 309-325.
- Dehghani, M., Niaki, M. K., Ramezani, I., and Sali, R. (2016). Evaluating the influence of YouTube advertising for attraction of young customers. Computers in human behavior, 59, 165-172.
- Dessart, L. (2017). Social media engagement: a model of antecedents and relational outcomes. Journal of Marketing Management, 33(5-6), 375-399.
- DeVellis, F.R. (2003). Scale development: Theory and applications. Thousand Oaks: Sage Publication.
Digital 2020 Global Digital Yearbook (2020), Retrieved December 21, 2020, from https://wearesocial.com/digital-2020.
- Djafarova, E., and Rushworth, C. (2017). Exploring the credibility of online celebrities Instagram profiles in influencing the purchase decisions of young female users. Computers in Human Behavior, 68, 1-7.
- Doyle, J. D., Heslop, L. A., Ramirez, A., and Cray, D. (2012). Trust intentions in readers of blogs. Management Research Review, 35(9), 837-856.
- Ducoffe, R. H. (1995). How consumers assess the value of advertising. Journal of Current Issues & Research in Advertising, 17(1), 1-18.
- Ducoffe, R. H. (1996). Advertising value and advertising on the web. Journal of advertising research, 36(5), 21-35.
- Fornell, Claes and Larcker F. David (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39-50.
- Glasscock, J. S. P. (2020). Authoritative Knowledge. Erkenntnis, 1-28.
- Godey, B., Manthiou, A., Pederzoli, D., Rokka, J., Aiello, G., Donvito, R., and Singh, R. (2016). Social media marketing efforts of luxury brands: Influence on brand equity and consumer behavior. Journal of business research, 69(12), 5833-5841.
- Gürkaynak, G., and Kama, Ç. O. (2018). Navigating the uncharted risks of covert advertising in influencer marketing. Business Law Review, 39(1), 17-19.
- Haghirian, P., Madlberger, M., and Tanuskova, A. (2005). Increasing advertising value of mobile marketing-an empirical study of antecedents. In System Sciences, 2005. HICSS'05. Proceedings of the 38th Annual Hawaii International Conference On, 32-32. IEEE.
- Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., and Tatham, R. L. (1998). Multivariate data analysis. Uppersaddle River.
- Haridakis, P., and Hanson, G. (2009). Social interaction and co-viewing with YouTube: Blending mass communication reception and social connection. Journal of Broadcasting & Electronic Media, 53(2), 317-335.
- Harnish, R. J., and Bridges, K. R. (2016). Mall haul videos: Self‐presentational motives and the role of self‐monitoring. Psychology & Marketing, 33(2), 113-124.
- Hill, S. R., Troshani, I., and Chandrasekar, D. (2017). Signalling effects of vlogger popularity on online consumers. Journal of Computer Information Systems, 76-84.
- Hsu, C. L., Lin, J. C. C., and Chiang, H. S. (2013). The effects of blogger recommendations on customers’ online shopping intentions. Internet Research, 23(1), 69-88.
- Hsu, C. P., Huang, H. C., Ko, C. H., and Wang, S. J. (2014). Basing bloggers' power on readers' satisfaction and loyalty. Online information review, 38(1), 78-94.
- Hudders, L., De Jans, S., and De Veirman, M. (2020). The commercialization of social media stars: a literature review and conceptual framework on the strategic use of social media influencers. International Journal of Advertising, 40(3), 327-375.
- Ives, B., Olson, M. H., and Baroudi, J. J. (1983). The measurement of user information satisfaction. Communications of the ACM, 26(10), 785-793.
- Johnson, T. J., and Kaye, B. K. (2004). Wag the blog: How reliance on traditional media and the Internet influence credibility perceptions of weblogs among blog users. Journalism & Mass Communication Quarterly, 81, 622–642.
- Khan, M. L. (2017). Social media engagement: What motivates user participation and consumption on YouTube? Computers in human behavior, 66, 236-247.
- Klein, R. B., (1998). Principles and practice of structural equation modeling. New York: Guilford.
- Ko, H., Cho, C. H., and Roberts, M. S. (2005). Internet uses and gratifications: A structural equation model of interactive advertising, Journal of advertising, 34(2), 57-70.
- Koh, J., Kim, Y. G., and Kim, Y. G. (2003). Sense of virtual community: A conceptual framework and empirical validation. International Journal of Electronic Commerce, 8(2), 75-94.
- Kozinets, R. V., De Valck, K., Wojnicki, A. C., and Wilner, S. J. (2010). Networked narratives: Understanding word-of-mouth marketing in online communities. Journal of Marketing, 74(2), 71-89.
- Kruitbosch, G., and Nack, F. (2008, October). Broadcast yourself on YouTube: Really?. In Proceedings of the 3rd ACM international workshop on Human-centered computing, 7-10.
- Ladhari, R., Massa, E., and Skandrani, H. (2020). YouTube vloggers’ popularity and influence: The roles of homophily, emotional attachment, and expertise. Journal of Retailing and Consumer Services, 54, 102027.
- Lattin, J., Carroll, D. J., and Green, P. E. (2003). Analyzing Multivariate Data. Duxbury Applied Series. Pasific Grove, CA: Thomson Learning Inc.
- Lee, E. J. (2020). Authenticity model of (mass-oriented) computer-mediated communication: Conceptual explorations and testable propositions. Journal of Computer-Mediated Communication, 25(1), 60-73.
- 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.
- Liu, M. T., Liu, Y., and Zhang, L. L. (2019). Vlog and brand evaluations: The influence of parasocial interaction. Asia Pacific Journal of Marketing and Logistics, 31(2), 419-436.
- Lynch, J. (2018). These are the 15 most popular YouTube stars in the world — and some are making millions. Business Insider. Retrieved December 25, 2020, from https://www.businessinsider.de/most-popular-youtubers-with-most-subscribers-2018-2?r=US&IR=T
- McQuail, D. (1983). Mass communication Theory: An introduction. Sage: London.
- Munnukka, J., Maity, D., Reinikainen, H., and Luoma-aho, V. (2019). Thanks for watching. The effectiveness of YouTube vlogendorsements. Computers in human behavior, 93, 226-234.
- Murillo, E., Merino, M., and Núñez, A. (2016). The advertising value of Twitter Ads: A study among Mexican Millennials. Revista brasileira de gestão de negócios, 18(6), 436-456.
- Nyagadza, B. (2020). Search engine marketing and social media marketing predictive trends. Journal of Digital Media & Policy, 11(3), 1-19.
- Parboteeah, D. V. (2005). A model of online impulse buying: An empirical study. unpublished doctoral dissertation, Washington State University, Seattle, WA.
- Park, D.H., Lee, J. and Han, I. (2007). The effects of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement. International Journal of Electronic Commerce, 11(4), 125-48.
- Peter, J. P. (1981). Construct validity: A review of basic issues and marketing practices. Journal of marketing research, 18(2), 133-145.
- Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., and Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879.
- Rahmi, Y., Sekarasih, L., and Sjabadhyni, B. (2016). The influence of beauty vlog on perceived source credibility and purchase intention. Makara Hubs-Asia, 20(2), 13-23.
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