THE GENERATION Z VIEW OF KEY OPINION LEADER REVIEWING FOOD ON TIKTOK PLATFORM IN VIETNAM

Authors

  • Nguyen Doan Nhat Thang Department of Multimedia Communications, FPT University – Campus Ho Chi Minh, Vietnam
  • Tran Hoang Hao Department of Multimedia Communications, FPT University – Campus Ho Chi Minh, Vietnam
  • Le Thi My Danh Department of Multimedia Communications, FPT University – Campus Ho Chi Minh, Vietnam
  • Nguyen Thi Thuy Hien Department of Multimedia Communications, FPT University – Campus Ho Chi Minh, Vietnam

DOI:

https://doi.org/10.17501/24246778.2023.7109

Keywords:

TikTok, Gen Z, food review, KOL, Vietnam

Abstract

The study was carried out to scrutinize the perception of Gen Z based on the KOLs’ food review on Tiktok platform in Vietnam and FPT University students' perspective as an addition to this research. Most important, the research aims to help social media users become wiser in selecting and identifying useful information. 203 students from a private University in Vietnam provided the data. Content analysis for analyzing contents and 5-point Likert scale for making a survey were used throughout the study's execution, which took place between August 2022 and November 2022. According to research, TikTok content about food reviews influences Gen Z customers' purchase intentions in four different ways, all of which are favorable. These variables are information, entertainment, trust, and social connection and they all have favorable and unfavorable effects on the intention to make a decision about trying different dishes. In which the information component has the greatest influence on Gen Z consumers' intentions to make an online purchase and to try new foods. Based on the findings of the study, suggestions are provided to assist the students in having the right decisions made when it comes to absorbing new information and trying different types of meals in Vietnamese and some other cuisines.

Downloads

Download data is not yet available.

References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T Ajzen, I. (2020).

The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314–324. https://doi.org/10.1002/hbe2.195

Katz, D. (1937). Attitude measurement as a method in social psychology. Social Forces, 15(4), 479–482. http://www.jstor. org/stable/2571413

D’Souza, D. (2021). What is Tik Tok? https://www.investopedia. com/what-is-tik tok-4588933

Palley, W. (2012). Gen Z: Digital in their DNA. http://www. jwtintelligence.com/wpcontent/uploads/2012/04/F_ INTERNAL_Gen_Z_0418122.pdf

Lee, C. K. C., Levy, D. S., & Yap, C. S. F. (2015). How does the theory of consumption values contribute to place identity and sustainable consumption? International Journal of Consumer Studies, 39(6), 597–607. https://doi.org/10.1111/ ijcs.12231

Jiang, X. Y. (2019). Research on TikTok is based on user-centric theory. Scholink Inc.: Applied Science and Innovative Research, 3(1), 28. http://doi.org/10.22158/asir.v3n1p28

Nguyen, N., Duffy, B. G., Shulmeister, J., & Quigley, M. C. (2013). Supplementary information: Palynology and geochemistry data and methods, and section age model. Journal of Business and Management, 61(4), 99–114. https://doi.org/ 10.112521314/1410331-53

Karon Warron.(2022).Generation Z (Gen Z): Definition, Birth Years, and Demographics.https://www.investopedia.com/generation-z-gen-z-definition-5218554

Kalley Huang.(2022).For Gen Z, tiktok is the new search engine.https://www.nytimes.com/2022/09/16/technology/gen-z-tiktok-search-engine.html

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. https://doi.org/10. 1080/10864415.2004.11044301 Zainudin, A., Asyraf, A., & Mustafa, M. (2016).

The Likert scale analysis using parametric-based Structural Equation Modeling (SEM). Computational Methods in Social Sciences, 4(1), 13–21. http://cmss.univnt.ro/wp-content/ uploads/vol/split/vol_IV_issue_1/CMSS_vol_IV_issue_1_ art.002.pdf

Palley, W. (2012). Gen Z: Digital in their DNA. http://www. jwtintelligence.com/wpcontent/uploads/2012/04/F_ INTERNAL_Gen_Z_0418122.pdf Petrovici, D., & Marinov, M. (2005).

Determinants and antecedents of general attitudes towards advertising. European Journal of Marketing, 41(3), 307–326. https://doi.org/10.1108/ 03090560710728354

Rideout, W. J., Foehr, U. G., & Roberts, D. F. (2010). Generation M[superscript 2]: Media in the lives of 8- to 18-year-olds. (2010.). Generation, 51, 631.

Henk Stats (2004). Theory of reasoned action. https://www.sciencedirect.com/topics/medicine-and-dentistry/theory-of-reasoned-action

Gioi tre (2022). Ha Linh review quan Truong Giang: gia thanh hoi cao.https://www.yan.vn/ha-linh-review-quan-truong-giang-gia-thanh-hoi-cao-310572.html

Leah Asmelash(2021)...How TikTok is teaching a generation of people about food .https://edition.cnn.com/2021/03/29/us/tiktok-food-trends-youth-trnd/index.html

Francis, B., & Hoefel, F. (2018). Generation Z: Digital in their DNA. Ipsos MORI Social Research Institute. Retrieved from https://www.ipsos.com/sites/default/files/ct/publication/documents/2018-06/generation-z-digital-in-their-dna.pdf

Tari, R. (2011). The iGeneration and its impact on advertising and marketing. International Journal of Business and Social Science, 2(18), 212-220.

Palley, W. (2012). Generation Z and the future of education. Youth Studies Australia, 31(4), 49-55.

Rideout, V. J., Foehr, U. G., & Roberts, D. F. (2010). Generation M2: Media in the lives of 8- to 18-year-olds. Kaiser Family Foundation. Retrieved from https://kaiserfamilyfoundation.files.wordpress.com/2013/04/8010.pdf

D'souza, S. (2021). TikTok: A review of its impact on social media. International Journal of Information Management, 57, 102268.

Kim, Y., & Jeong, E. (2020). The impact of TikTok influencer marketing on consumers. International Journal of Advertising, 39(4), 589-609.

Manikonda, L., Hu, Y., & Kambhampati, S. (2020). Analyzing user-generated content on TikTok. arXiv preprint arXiv:2004.04090.

Li, X., Tang, Z., & Lu, Y. (2021). An empirical analysis of user-generated content and food choices: Evidence from TikTok. Journal of Retailing and Consumer Services, 60, 102498.

Hsu, C. L., Lin, J. C. C., & Chiang, H. S. (2016). The effects of website quality on customer behavioral intentions: Moderating roles of information overload and trust. Electronic Commerce Research and Applications, 15, 49-58.

Kim, S., Kim, W. G., & An, J. (2017). The role of online customer reviews in the hotel booking intention: The impact of trust, perceived usefulness, and prior experience. International Journal of Contemporary Hospitality Management, 29(9), 2375-2394.

Kozinets, R. V., de Valck, K., Wojnicki, A. C., & Wilner, S. J. (2010). Networked narratives: Understanding word-of-mouth marketing in online communities. Journal of Marketing, 74(2), 71-89.

Sashi, C. M. (2012). Customer engagement, buyer-seller relationships, and social media. Management Decision, 50(2), 253-272.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.

Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Harcourt Brace Jovanovich College Publishers.

Montano, D. E., & Kasprzyk, D. (2015). Theory of reasoned action, theory of planned behavior, and the integrated behavioral model. In Health behavior: Theory, research, and practice (5th ed., pp. 95-124). Jossey-Bass.

Kim, S., & Stoel, L. (2009). Apparel retailers: Website quality dimensions and satisfaction. Journal of Retailing and Consumer Services, 16(6), 459-465.

Chandon, P., Wansink, B., & Laurent, G. (2000). A benefit congruency framework of sales promotion effectiveness. Journal of Marketing, 64(4), 65-81.

Chen, Y. H., & Chang, C. Y. (2013). Exploring factors affecting online brand experience and customer e-loyalty: A study of online restaurant websites. Journal of Hospitality and Tourism Research, 37(3), 291-321.

Ahluwalia, R., Burnkrant, R. E., & Unnava, H. R. (2000). Consumer response to negative publicity: The moderating role of commitment. Journal of Marketing Research, 37(2), 203-214.

Dean, D. H. (2004). Consumer trust and confidence: Some recent conceptual developments. European Journal of Marketing, 38(9/10), 1528-1535.

Cheung, C. M., Lee, M. K., & Rabjohn, N. (2008). The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities. Internet Research, 18(3), 229-247.

Wu, C. Y., Cheng, H. K., & Tang, Y. Y. (2014). Factors influencing social network site addiction in high-school students: A qualitative study. Cyberpsychology, Behavior, and Social Networking, 17(5), 287-293.Dean, D. H. (2004). Consumer trust and confidence: Some recent conceptual developments. European Journal of Marketing, 38(9/10), 1528-1535.

Nielsen,(2018). Connect with Gen Z in Vietnam https://www.nielsen.com/insights/2018/insight-article-generation-z-in-vietnam

Downloads

Published

2023-11-14

How to Cite

Nguyen, D. N. T. ., Tran, H. H. ., Le, T. M. D., & Nguyen, T. T. H. (2023). THE GENERATION Z VIEW OF KEY OPINION LEADER REVIEWING FOOD ON TIKTOK PLATFORM IN VIETNAM . Proceedings of the World Conference on Media and Mass Communication, 7(01), pp. 226–244. https://doi.org/10.17501/24246778.2023.7109