From AI disclosure to purchase intention: The mediating role of trust and the moderating effect of collectivistic orientation in Vietnam
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Received December 2, 2025;Accepted February 18, 2026;Published March 11, 2026
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Author(s)Huu Pho NguyenLink to ORCID Index: https://orcid.org/0009-0007-5727-4650
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Phuong Uyen LeLink to ORCID Index: https://orcid.org/0009-0000-6809-5163
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Xuan Trang LeLink to ORCID Index: https://orcid.org/0009-0009-7729-6528
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DOIhttp://dx.doi.org/10.21511/im.22(1).2026.20
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Article InfoVolume 22 2026, Issue #1, pp. 274-284
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Creative Commons Attribution 4.0 International License
Type of the article: Research Article
Abstract
The rapid adoption of Artificial Intelligence (AI) in advertising raises questions about consumer trust and behavioral responses, particularly in emerging collectivistic markets. This study aims to examine whether AI disclosure in advertising affects purchase intention through trust and whether collectivistic orientation moderates the effect of AI disclosure on trust among Gen Z consumers in Vietnam. Using a between-subjects online experiment and survey, data were collected in Da Nang, Vietnam, from May 1 to May 20, 2025, with 400 Gen Z social media users randomly assigned to an AI disclosure condition or a non-disclosure condition. Partial Least Squares Structural Equation Modeling (PLS-SEM) was applied to test direct, mediated, and moderated effects while controlling for ad authenticity. The results indicate that AI disclosure increases trust (β = 0.469, p < 0.001), and trust positively predicts purchase intention (β = 0.279, p < 0.001). The indirect effect of AI disclosure on purchase intention through trust is significant (β = 0.131, p = 0.001), whereas the direct effect on purchase intention is not significant (β = -0.091, p = 0.093). Collectivistic orientation weakens the AI disclosure-trust relationship (β = -0.068, p = 0.018). Ad authenticity remains a strong predictor of purchase intention (β = 0.646, p < 0.001). These findings suggest that transparency can build trust, but its effectiveness depends on cultural orientation, implying that managers should combine AI disclosure with authenticity cues in collectivistic settings.
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JEL Classification (Paper profile tab)M31, M37, O33
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References25
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Tables6
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Figures2
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- Figure 1. Research model
- Figure 2. SEM model
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- Table 1. Measurement instruments
- Table 2. Construct reliability and convergent validity
- Table 3. Fornell-Larcker criterion
- Table 4. HTMT ratios
- Table 5. R-square
- Table 6. Structural model results and multi-group analysis
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- Amazeen, M. A., & Muddiman, A. (2018). Saving media or trading on trust? The effects of native advertising on audience perceptions. Digital Journalism, 6(2), 176-195.
- Baek, T. H., Kim, J., & Kim, J. H. (2024). Effect of disclosing AI-generated content on prosocial advertising evaluation. International Journal of Advertising, 43(8), 1310-1331.
- Beckert, J., Koch, T., Viererbl, B., & Schulz-Knappe, C. (2021). The disclosure paradox: How persuasion knowledge mediates disclosure effects in sponsored media content. International Journal of Advertising, 40(7), 1160-1186.
- Beverland, M. B., & Farrelly, F. J. (2010). The quest for authenticity in consumption: Consumers’ purposive choice of authentic cues to shape experienced outcomes. Journal of Consumer Research, 36(5), 838-856.
- Campbell, C., Plangger, K., Sands, S., & Kietzmann, J. (2021). Preparing for an era of deepfakes and AI-generated ads: A framework for understanding responses to manipulated advertising. Journal of Advertising, 51(1), 22-38.
- Chen, S. C., & Dhillon, G. S. (2003). Interpreting dimensions of consumer trust in e-commerce. Information Technology and Management, 4(2-3), 303-318.
- Chetioui, Y., Benlafqih, H., & Lebdaoui, H. (2021). How fashion influencers contribute to consumers’ purchase intention: The role of trust and perceived value. Journal of Fashion Marketing and Management, 25(2), 252-271.
- Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24-42.
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
- Francis, T., & Hoefel, F. (2018). “True Gen”: Generation Z and its implications for companies. McKinsey & Company.
- Friestad, M., & Wright, P. (1994). The persuasion knowledge model: How people cope with persuasion attempts. Journal of Consumer Research, 21(1), 1-31.
- Guerra-Tamez, C. R., Flores, K. K., Serna-Mendiburu, G. M., Chavelas-Robles, D., & Ibarra-Cortés, J. (2024). Decoding Gen Z: AI’s influence on brand trust and purchasing behavior. Frontiers in Artificial Intelligence, 7, Article 1323512.
- Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24.
- Hofstede, G. (2011). Dimensionalizing cultures: The Hofstede model in context. Online Readings in Psychology and Culture, 2(1).
- Kietzmann, J., Mills, A. J., & Plangger, K. (2021). Deepfakes: Perspectives on the future “reality” of advertising and branding. International Journal of Advertising, 40(3), 473-485.
- Kim, J., Giroux, M., & Lee, J. C. (2021). When do you trust AI? The effect of number presentation detail on consumer trust and acceptance of AI recommendations. Psychology & Marketing, 38(7), 1140-1155.
- Kirkby, A., Baumgarth, C., & Henseler, J. (2023). To disclose or not disclose is no longer the question: AI-generated brand communication and authenticity perceptions. Journal of Product & Brand Management, 32(7), 1108-1122.
- Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709-734.
- Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. MIT Press.
- Morgan, R. M., & Hunt, S. D. (1994). The commitment–trust theory of relationship marketing. Journal of Marketing, 58(3), 20-38.
- Nguyen-Thu, G. (2018). Vietnamese media going social: Connectivism, collectivism, and conservatism. The Journal of Asian Studies, 77(4), 895-908.
- Sands, S., Demsar, V., Ferraro, C., Wilson, S., Wheeler, M., & Campbell, C. (2025). Easing AI-advertising aversion: How leadership for the greater good buffers negative response to AI-generated ads. International Journal of Advertising.
- Spears, N., & Singh, S. N. (2004). Measuring attitude toward the brand and purchase intentions. Journal of Current Issues & Research in Advertising, 26(2), 53-66.
- Triandis, H. C., & Gelfand, M. J. (1998). Converging measurement of horizontal and vertical individualism and collectivism. Journal of Personality and Social Psychology, 74(1), 118-128.
- Weismueller, J., Harrigan, P., Wang, S., & Soutar, G. N. (2020). Influencer endorsements: How advertising disclosure and source credibility affect consumer purchase intention on social media. Australasian Marketing Journal, 28(4), 160-170.
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Conceptualization
Huu Pho Nguyen, Xuan Trang Le
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Data curation
Huu Pho Nguyen, Xuan Trang Le
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Formal Analysis
Huu Pho Nguyen, Phuong Uyen Le
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Investigation
Huu Pho Nguyen
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Methodology
Huu Pho Nguyen, Xuan Trang Le
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Project administration
Huu Pho Nguyen
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Resources
Huu Pho Nguyen, Phuong Uyen Le
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Software
Huu Pho Nguyen
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Supervision
Huu Pho Nguyen, Xuan Trang Le
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Validation
Huu Pho Nguyen
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Visualization
Huu Pho Nguyen, Phuong Uyen Le
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Writing – original draft
Huu Pho Nguyen, Xuan Trang Le
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Writing – review & editing
Phuong Uyen Le, Xuan Trang Le
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Conceptualization
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Short video marketing factors influencing the purchase intention of Generation Z in Vietnam
Thi Thuy An Ngo
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Phu Quach
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Thanh Vinh Nguyen
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Anh Duy Nguyen
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Thi Minh Nguyet Nguyen
doi: http://dx.doi.org/10.21511/im.19(3).2023.04
Innovative Marketing Volume 19, 2023 Issue #3 pp. 34-50 Views: 9802 Downloads: 2628 TO CITE АНОТАЦІЯIn the digital age and technological advancements, short video platforms have become essential tools for online sales and marketing. In addition, shopping through short video marketing has gained significant attention, especially among Generation Z, as it brings unique and novel shopping experiences. The primary goal of this study is to explore the factors of short video marketing that influence the purchase intentions of Generation Z consumers in Vietnam. To conduct this study, a quantitative approach was employed, utilizing a 5-point Likert scale questionnaire administered online through a non-probability sampling method. The sample comprised 350 respondents aged between 16 and 26 from Vietnam, representing Generation Z, who made purchases through short video marketing. The relationships among various variables were analyzed using Structural Equation Modeling (SEM). The study’s results demonstrated a positive, significant, and direct relationship between all factors of short video marketing, including interesting content, perceived usefulness, scenario-based experience, user interaction, perceived enjoyment, and involvement of celebrities and consumer brand attitude. Among these factors, perceived usefulness is the most influential factor on customer brand attitude. In addition, the study revealed that consumer brand attitude, acting as a mediating variable, had a positive and significant impact on consumers’ purchase intentions. Based on the findings, the study suggested strategies for businesses to enhance the quality and content on short video platforms, thereby improving the effectiveness of their marketing strategies.
Acknowledgment
The authors express a sincere gratitude to all the participants who generously took part in this research study. -
Impact of meme marketing on consumer purchase intention: Examining the mediating role of consumer engagement
This paper analyzes an emerging form of social media marketing, meme marketing, which has gained attention for its ability to entertain and engage users. Marketers and companies are recognizing the value of using memes as a tool to connect with consumers. To understand the effects of meme marketing activities, this paper aims to examine the impact of meme marketing activities on consumer purchase intentions and concurrently assess the mediating role of consumer engagement. The study encompassed 452 Indian social media users with active social media accounts and familiarity with memes and meme marketing concepts. It employed a quantitative methodology backed by robust statistical techniques. The method used for analysis was Structural Equation Modeling (SEM) through Analysis of Moment Structures (AMOS) software. The results found that meme marketing activities have a direct and significant positive impact (β = 0.257, p < 0.05) on consumer purchase intentions. It further shows that meme marketing has a direct and significant positive impact (β = 0.745, p < 0.05) on consumer engagement. It shows that consumer engagement has a direct and significant positive effect (β = 0.651, p < 0.05) on consumer purchase intention. However, the indirect impact of meme marketing activities on consumer purchase intentions is also significant, resulting in partial mediation. The study findings hold value for marketing managers, agencies, and companies that interact and engage consumers with memes and undertake meme marketing activities.
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Influencer marketing’s impact on credibility and purchase intention: A study on University of Bisha students in Saudi Arabia
Mudathir Saad
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Abdelrehim Awad
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Adel Fathy Aziz
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Talaat Rashad Shma
doi: http://dx.doi.org/10.21511/im.21(1).2025.26
Innovative Marketing Volume 21, 2025 Issue #1 pp. 326-337 Views: 6881 Downloads: 2269 TO CITE АНОТАЦІЯThis study holds significance due to the increasing impact of influencer marketing on consumer behavior, particularly among the youth demographic in Saudi Arabia. This study aims to examine how influencer marketing influences perceived credibility and purchase intention, emphasizing the roles of transparency and cultural factors in shaping consumer behavior.
A descriptive-analytical method was utilized, the research was conducted at University of Bisha, incorporating a structured survey to gather data from 384 university students, both male and female. The sample was meticulously chosen to embody the characteristics of young consumers, a group recognized for its significant involvement with social media channels and vulnerability to influencer marketing tactics. The findings indicate that the traits of influencers play a crucial role in boosting purchase intention (β = 0.42, p < 0.001). Furthermore, the influence of brand credibility on purchase intention is significant (β = 0.51, p < 0.001), and it serves as a partial mediator in the connection between influencer characteristics and purchase intention (indirect effect = 0.27, p < 0.001). The results underscore Snapchat’s prominence as the leading platform among participants, illustrating its significance for focused influencer marketing initiatives. Marketers are advised to prioritize transparent and authentic collaborations with influencers to strengthen brand credibility and foster consumer trust. Emphasizing partnerships with influencers whose values align with students’ interests on Snapchat will enhance engagement and drive purchasing behavior. This information provides actionable direction for marketers aiming to enhance their influencer marketing approaches, cultivating enduring consumer confidence and sustainable brand development among younger demographics.

