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Such mechanisms may stimulate the psychological state known as Fear of Missing
                  Out, defined as the apprehension that others might be experiencing rewarding
                  opportunities that one is absent from (Przybylski et al., 2013). In social commerce
                  environments, features such as real-time interaction indicators, viral content, and limited-
                  time promotions can intensify urgency and encourage faster purchasing decisions
                  (Mustikasari et al., 2025; Zhang et al., 2025). For health-related products like dietary
                  supplements, purchasing decisions may therefore be influenced not only by health needs
                  but also by social and psychological pressures created by digital consumption
                  environments. This phenomenon is particularly relevant for Generation Z, a cohort
                  characterized by intensive social media usage and strong engagement with digital
                  platforms. Previous research shows that 97.2% of participants use the Internet to search
                  for health information, and 72.6% have practiced self-medication based on online
                  information (Doan Anh Dung et al., 2024). However, online purchasing of dietary
                  supplements also presents risks such as counterfeit products, misleading information, and
                  limited regulatory oversight in digital markets.
                        Although previous studies have explored FOMO in social commerce, most have
                  focused on general consumer goods such as fashion or electronics. Research applying
                  health behavior theories to explain online purchasing of health-related products
                  remains limited, particularly in emerging markets like Vietnam. Therefore, this study
                  examines how FOMO influences Vietnamese Gen Z’s intention to purchase dietary
                  supplements online by integrating FOMO into the extended Health Belief Model within
                  the social commerce context.
                        2. Theoretical framework and research model
                        2.1. Theoretical framework
                        2.1.1. Health belief model (HBM) and extended health belief model (eHBM)
                        The Health Belief Model (HBM) (Rosenstock, 1966) explains health-related
                  behaviors based on individuals’ cognitive evaluations of several key perceptions, including
                  perceived susceptibility, perceived severity, perceived benefits, and perceived barriers.
                  Purchasing dietary supplements can be conceptualized as a preventive health behavior
                  aimed at reducing potential health risks and improving physical well-being (Siro et al.,
                  2008). Therefore, HBM provides a suitable theoretical framework for examining how
                  health beliefs among Generation Z shape their intention to purchase dietary supplements
                  online.
                        However, the traditional HBM has certain limitations in explaining complex and
                  sustained behaviors, particularly in digitally mediated consumption environments where
                  individuals actively seek information and interact with multiple online stimuli. To address
                  this limitation, Strecher and Becker (1988) extended the model by incorporating self-
                  efficacy, a concept derived from Social Cognitive Theory. Self-efficacy refers to an
                  individual’s confidence in their ability to perform a specific behavior. In the context of
                  online dietary supplement purchasing, this includes confidence in searching for health
                  information, evaluating product credibility, and completing online transactions. By
                  integrating self-efficacy, the extended Health Belief Model (eHBM) enhances the
                  explanatory power of HBM in understanding health-related decision-making in digital
                  environments. Therefore, this study adopts eHBM as the primary cognitive framework to
                  explain online purchase intention.
                        2.1.2. Self - determination Theory (SDT)
                        Self-Determination Theory (SDT) (Ryan & Deci, 1985, 2000) explains human


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