TikTok-based marketing communication and purchase decisions of Generation Z consumers: Evidence from Ho Chi Minh City, Vietnam

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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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    • Figure 1. Research model of TikTok-based marketing communication activities
    • 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
    • Conceptualization
      Dinh Thi Mung, Ho Tran Quoc Hai, Tran Hoang Minh
    • Data curation
      Dinh Thi Mung, Ho Tran Quoc Hai, Tran Hoang Minh
    • Formal Analysis
      Dinh Thi Mung, Ho Tran Quoc Hai, Tran Hoang Minh
    • Funding acquisition
      Dinh Thi Mung
    • Investigation
      Dinh Thi Mung, Ho Tran Quoc Hai
    • Methodology
      Dinh Thi Mung, Ho Tran Quoc Hai, Tran Hoang Minh
    • Project administration
      Dinh Thi Mung, Tran Hoang Minh
    • Resources
      Dinh Thi Mung, Ho Tran Quoc Hai
    • Software
      Dinh Thi Mung, Ho Tran Quoc Hai
    • Supervision
      Dinh Thi Mung, Tran Hoang Minh
    • Validation
      Dinh Thi Mung, Ho Tran Quoc Hai
    • Visualization
      Dinh Thi Mung, Tran Hoang Minh
    • Writing – original draft
      Dinh Thi Mung, Ho Tran Quoc Hai, Tran Hoang Minh
    • Writing – review & editing
      Dinh Thi Mung, Ho Tran Quoc Hai, Tran Hoang Minh