Abstract
ABSTRACT This study investigates how AI-translated reviews affect consumer behavior in tourism, emphasizing the roles of national stereotypes, cosmopolitanism, and review dispersion. Utilizing three experiments, it demonstrates that reviewer nationality significantly impacts hotel evaluations and booking intentions, with cosmopolitanism moderating this effect. High review dispersion further amplifies the influence of nationality among less cosmopolitan individuals. The findings highlight the complex interplay of AI translation, cultural biases, and consumer psychology in online hotel bookings, offering insights for managing AI tools and consumer perceptions in the hospitality industry.
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