Understanding the psychological mechanisms and moderating effects of fear of mising out in Vietnamese shopping malls
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Received March 2, 2025;Accepted October 24, 2025;Published November 27, 2025
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Author(s)Nguyen Duy PhuongLink to ORCID Index: https://orcid.org/0009-0003-0815-9956
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Bui Thanh KhoaLink to ORCID Index: https://orcid.org/0000-0002-9878-2164
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DOIhttp://dx.doi.org/10.21511/im.21(4).2025.13
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Article InfoVolume 21 2025, Issue #4, pp. 175-186
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264 Downloads
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Creative Commons Attribution 4.0 International License
Type of the article: Research Article
Abstract
Consumer Fear of Missing Out (FOMO) has emerged as a pervasive psychological driver of purchasing decisions. In today’s experience-driven retail environment exemplified by Vietnam’s rapidly expanding modern shopping malls, FOMO may prompt consumers to buy impulsively and unplanned. However, most FOMO research focuses on online or social media contexts, leaving its role in offline retail underexplored. This study fills that gap by examining how FOMO influences shoppers’ psychological states and subsequent buying behaviors in Vietnamese malls. We conducted a structured questionnaire survey of 428 mall patrons in Ho Chi Minh City in 2024, and analyzed the data using Structural Equation Modeling (SEM). The results confirm that FOMO significantly heightens consumers’ financial risk-taking, emotional arousal, and reduced self-control. In turn, these states strongly predict purchase behaviors: risk-taking drives impulsive and repeat shopping, emotional arousal fuels impulse, and repeat buying, and diminished self-control leads to unplanned spending. Notably, the strength of these effects varies by consumer segment and context: younger, more tech-savvy shoppers and those in high-end malls showed stronger FOMO effects, and frequent shoppers were especially susceptible. These findings extend FOMO theory into physical retail and offer practical insight: marketers can leverage FOMO cues but must do so ethically, as this tactic powerfully drives consumption. The study concludes that FOMO is a key stimulus in malls, calling for future research to examine its long-term impact and boundary conditions.
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JEL Classification (Paper profile tab)M37, D12, L81, C38
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References21
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Tables5
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Figures1
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- Figure 1. Proposed research model of FOMO’s effects on consumer shopping behavior
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- Table 1. Confirmatory Factor Analysis and Reliability assessment (N = 428)
- Table 2. SEM results and hypothesis testing
- Table 3. Moderating effects via multi-group SEM
- Table A1. Model fit summary
- Table C1. Demographic characteristics
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- Ahmad, I., Hayee, R., & Ali, A. (2024). The influence of social comparison on impulse buying: Utilitarian and hedonic shopping values as mediators [Working paper].
- Alajlan, M., & Saleh, M. (2024). Impact of Social Media advertisement and influencers on Compulsive Buying Mediated by Materialism: The Moderating Role of Narcissism. International journal of management & information technology, 19, 1-13.
- Alfina, S., & Mardhiyah, D. (2023). FOMO related consumer behaviour in marketing context: A systematic literature review. Cogent Business and Management, 10(3), 1-21.
- Baumeister, R. F., Heatherton, T. F., & Tice, D. M. (2002). Losing control: How and why people fail at self-regulation. San Diego: Academic Press.
- Beatty, S. E., & Ferrell, M. E. (1998). Impulse buying: Modeling its precursors. Journal of Retailing, 74(2), 169-191.
- Çelik, İ. K., Eru, O., & Çop, R. (2019). The effects of consumers’ FoMO tendencies on impulse buying and the effects of impulse buying on post-purchase regret: An investigation on retail stores. Brain Broad Research in Artificial Intelligence and Neuroscience, 10(3), 124-133.
- Chebat, J.-C., & Michon, R. (2003). Impact of ambient odors on mall shoppers’ emotions, cognition, and spending: A test of competitive causal theories. Journal of Business Research, 56(7), 529-539.
- Gupta, P., & Sharma, P. (2021). Fear of missing out: A brief overview of origin, theoretical underpinnings and relationship with mental health. World Journal of Clinical Cases, 9(19), 4881-4889.
- Habib, S., & Almamy, A. (2025). Impact of FOMO on social media engagement and impulse buying of lifestyle products: Mediation analysis. Journal of Innovative Digital Transformation, 2(2), 176-195.
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (7th ed.). Harlow: Pearson Education.
- Holbrook, M. B., & Hirschman, E. C. (1982). The experiential aspects of consumption: Consumer fantasies, feelings, and fun. Journal of Consumer Research, 9(2), 132-140.
- Kulikovskaja, V., Hubert, M., Grunert, K. G., & Zhao, H. (2023). Driving marketing outcomes through social media-based customer engagement. Journal of Retailing and Consumer Services, 74, Article 103445.
- Mohan, G., Sivakumaran, B., & Sharma, P. (2013). Impact of store environment on impulse buying behavior. European Journal of Marketing, 47(10), 1711-1732.
- Morsi, N., Sá, E., & Silva, J. (2025). Walking away: Investigating the adverse impact of FOMO appeals on FOMO-prone consumers. Business Horizons, 68(2), 197-212.
- Nguyen, D. N., & Nguyen, D. V. (2025). FOMO and the impulsive purchasing behavior of young people. European Journal of Business and Management Research, 10(3), 41-47.
- Prasetianingsih, C., Suroso, & Pratitis, N. T. (2025). Fear of missing out (FoMO) and self-control in relation to compulsive buying. Journal of Scientific Research, 4(1), 634-641.
- Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 1841-1848.
- Rosen, L. D., Whaling, K., Carrier, L. M., Cheever, N. A., & Rokkum, J. (2013). The media and technology usage and attitudes scale: An empirical investigation. Computers in Human Behavior, 29(6), 2501-2511.
- Tice, D. M., Bratslavsky, E., & Baumeister, R. F. (2001). Emotional distress regulation takes precedence over impulse control: If you feel bad, do it! Journal of Personality and Social Psychology, 80(1), 53-67.
- Tresna, I. C., Usman, I., Siswono, T., & Rachmah, N. (2025). Fear of Missing Out (FOMO) in consumer behaviour: A systematic literature review on antecedents, consequences, and moderating factors. Journal of Information Systems Engineering and Management, 10(36), 626-639.
- Yunus, F., & Akhtar, A. (2025). Impact of social media on consumer buying behavior in the offline mode. Management and Economics Research Journal.
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Conceptualization
Nguyen Duy Phuong, Bui Thanh Khoa
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Data curation
Nguyen Duy Phuong, Bui Thanh Khoa
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Formal Analysis
Nguyen Duy Phuong, Bui Thanh Khoa
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Funding acquisition
Nguyen Duy Phuong, Bui Thanh Khoa
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Investigation
Nguyen Duy Phuong, Bui Thanh Khoa
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Methodology
Nguyen Duy Phuong, Bui Thanh Khoa
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Project administration
Nguyen Duy Phuong, Bui Thanh Khoa
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Resources
Nguyen Duy Phuong, Bui Thanh Khoa
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Software
Nguyen Duy Phuong, Bui Thanh Khoa
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Supervision
Nguyen Duy Phuong, Bui Thanh Khoa
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Writing – original draft
Nguyen Duy Phuong, Bui Thanh Khoa
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Writing – review & editing
Nguyen Duy Phuong, Bui Thanh Khoa
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Validation
Bui Thanh Khoa
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Visualization
Bui Thanh Khoa
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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: 9288 Downloads: 2561 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. -
Online impulse buying on TikTok platform: Evidence from Indonesia
Nur Rizqi Febriandika
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Alfinna Putri Utami
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Afifah Nur Millatina
doi: http://dx.doi.org/10.21511/im.19(3).2023.17
Innovative Marketing Volume 19, 2023 Issue #3 pp. 197-210 Views: 6578 Downloads: 1357 TO CITE АНОТАЦІЯTikTok Shop boosts TikTok’s huge potential as an e-commerce platform that encourages sellers and buyers to increase the number of transactions. The emergence of this feature encourages the online impulse buying phenomenon on the TikTok platform. This study aims to examine the factors that influence online impulse buying on TikTok in Indonesia through the constructs of brand review, sales promotion, customer satisfaction, religiosity, and brand expectation. This quantitative research uses a questionnaire that is distributed randomly online and collected from 312 respondents in Indonesia. Using structural equation modeling (SEM), data analysis was conducted and hypotheses were examined. The results show that customer satisfaction (β: 0.501) and brand review (β: 0.358) play an important role in increasing brand expectation. At the same time, sales promotion (ρ-value > 0.05) has no impact on brand expectation. This study highlights that religiosity (β: –0.239) and brand expectation (β: –0.510) can reduce online impulse buying behavior. Brand expectation (β: –0.510) is the most dominant variable in reducing online impulse buying behavior on TikTok.
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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: 6502 Downloads: 2212 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.

