TikTok-based marketing communication and purchase decisions of Generation Z consumers: Evidence from Ho Chi Minh City, Vietnam
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DOIhttp://dx.doi.org/10.21511/im.22(3).2026.04
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Article InfoVolume 22 2026, Issue #3, pp. 53–69
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Creative Commons Attribution 4.0 International License
Type of the article: Research Article
Abstract
TikTok has become an influential social commerce platform where marketing communication, user interaction, and purchasing activities increasingly intersect. Despite growing attention to TikTok marketing, existing studies have predominantly examined individual communication tools, offering limited understanding of how different communication activities collectively shape consumer responses.
This study examines the relationships between TikTok-based marketing communication activities, brand trust, and purchase decision among Generation Z consumers in Ho Chi Minh City, Vietnam. Data were collected from 290 TikTok users and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM).
The results reveal that brand trust exerts a strong positive effect on purchase decision (β = 0.745, p < 0.001). Among the examined communication dimensions, public relations (β = 0.384, p < 0.001), event-related activities (β = 0.158, p = 0.016), and influencer communication (β = 0.145, p = 0.038) significantly enhance brand trust. In contrast, advertising, creative content, and livestreaming do not exhibit statistically significant direct effects on brand trust. Additional mediation analysis indicates that brand trust significantly mediates the effects of event marketing, influencer communication, and public relations on purchase decision.
The findings suggest that communication effectiveness on TikTok depends less on promotional exposure alone and more on consumers’ perceptions of credibility, interaction quality, and relational trust. The study contributes to a better understanding of consumer behavior in short-video social commerce environments and offers practical implications for firms targeting Generation Z consumers.
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JEL Classification (Paper profile tab)M31, M37, M15
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References27
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Tables8
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Figures1
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- Figure 1. Research model of TikTok-based marketing communication activities
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- Table 1. Sample characteristics of respondents (n = 290)
- Table 2. Indicator outer loadings
- Table 3. Reliability and convergent validity
- Table 4. HTMT discriminant validity matrix
- Table 5. Collinearity assessment (VIF values)
- Table 6. Coefficient of determination (R²)
- Table 7. Structural path coefficients
- Table 8. Indirect effects through brand trust
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- Abidin, C. (2021). Mapping internet celebrity on TikTok: Exploring attention economies and visibility labours. Cultural Science, 12(1), 77-103.
- Ashley, C., & Tuten, T. (2015). Creative strategies in social media marketing: An exploratory study of branded social content and consumer engagement. Psychology & Marketing, 32(1), 15-27.
- Belch, G. E., & Belch, M. A. (2021). Advertising and promotion: An integrated marketing communications perspective (6th ed.). McGraw-Hill.
- Brodie, R. J., Hollebeek, L. D., Juric, B., & Ilic, A. (2011). Customer engagement: Conceptual domain, fundamental propositions, and implications for research. Journal of Service Research, 14(3), 252-271.
- Chu, S. C., & Kim, Y. (2011). Determinants of consumer engagement in eWOM on social networking sites. International Journal of Advertising, 30(1), 47-75.
- Chaudhuri, A., & Holbrook, M. B. (2001). The chain of effects from brand trust and brand affect to brand performance: The role of brand loyalty. Journal of Marketing, 65(2), 81-93.
- DataReportal. (2024). Digital 2024: Vietnam.
- Djafarova, E., & Trofimenko, O. (2019). ‘Instafamous’: credibility and self-presentation of micro-celebrities on social media. Information, Communication & Society, 22(10), 1432-1446.
- Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement errors. Journal of Marketing Research, 18(1), 39-50.
- Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). An introduction to structural equation modeling. In J. F. Hair, G. T. M. Hult, C. M. Ringle, M. Sarstedt, N. P. Danks, & S. Ray (Eds.), Partial least squares structural equation modeling (PLS-SEM) using R (pp. 1-29). Springer.
- Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based SEM. Journal of the Academy of Marketing Science, 43(1), 115-135.
- Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59-68.
- Kaye, D. B. V., Chen, X., & Zeng, J. (2020). The co-evolution of two Chinese mobile short video apps: Parallel platformization of Douyin and TikTok. Mobile Media & Communication, 9(2), 229-253.
- Keller, K. L. (2022). Understanding the changing role and functions of marketing. In J. R. Kahle, T. M. Lowrey, & J. Huber (Eds.), APA handbook of consumer psychology (pp. 143-162). American Psychological Association.
- Kim, Y., & Peterson, R. A. (2017). A Meta-analysis of Online Trust Relationships in E-commerce. Journal of Interactive Marketing, 38, 44-54.
- Kliatchko, J. (2008). Revisiting the IMC construct: A revised definition and four pillars. International Journal of Advertising, 27(1), 133-160.
- Kotler, P., & Keller, K. L. (2016). Marketing management (15th global ed.). Pearson Education Limited.
- Lou, C., & 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.
- Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 140, 1-55.
- Men, L. R., & Tsai, W.-H. S. (2016). Public engagement with CEOs on social media: Motivations and relational outcomes. Public Relations Review, 42(5), 932-942.
- Morgan, R. M., & Hunt, S. D. (1994). The commitment–trust theory of relationship marketing. Journal of Marketing, 58(3), 20-38.
- Porcu, L., del Barrio-García, S., Alcántara-Pilar, J. M., & Crespo-Almendros, E. (2019). Analyzing the influence of firm-wide integrated marketing communication on market performance in the hospitality industry. International Journal of Hospitality Management, 80, 13-24.
- Tan, H. (2024). Influence of Tik Tok challenge on brand interaction and viral marketing. Frontiers in Business, Economics and Management, 17(1), 313-316.
- Schiffman, L. G., & Wisenblit, J. L. (2019). Consumer behavior (12th ed.). Pearson.
- Sokolova, K., & Kefi, H. (2020). Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions. Journal of Retailing and Consumer Services, 53, 101742.
- Sun, Y., Shao, X., Li, X., Guo, Y., & Nie, K. (2019). How live streaming influences purchase intentions in social commerce: An IT affordance perspective. Electronic Commerce Research and Applications, 37, 100886.
- Wongkitrungrueng, A., & Assarut, N. (2020). The Role of Live Streaming in Building Consumer Trust and Engagement with Social Commerce Sellers. Journal of Business Research, 117, 543-556.


