Emerging as a pivotal trend on social media, food review vlogs not only narrate culinary experiences but also boost local cuisine and economic growth. This study delves into how such vlogs and vlogger traits affect viewer attitudes and restaurant visit intentions, guided by the stimulus–organism–response paradigm. Hypotheses were quantitatively assessed through an online survey with 347 participants from Amazon’s Mechanical Turk (MTurk), analyzed using SPSS 22 and AMOS 22 for structural equation modeling (SEM). The results indicated that informativeness, entertainment, and vividness influence viewers’ engagement with food review vlogs, while attractiveness and homophily are major predictors of parasocial relationships. Content engagement and parasocial relationships exerted positive influences on attitudes and visiting intentions toward the reviewed restaurants. The findings contribute to the empirical understanding of foodservice communication by identifying key characteristics of food review vlogs and vloggers that drive viewer engagement and behavioral intentions. Building on an established theoretical foundation, this study underscores the practical significance of the S–O–R model in digital marketing, offering actionable insights to empower content creators and marketers in driving audience engagement and shaping consumer behavior.
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