The rebirth of global tourism with a massive rebound is anticipated due to an emerging touristic behavior coined as vaxication (i.e., post-vaccination travel). Despite the ongoing fatigue triggered by the COVID-19 pandemic, travelers’ fear of missing out (FOMO), and destination crisis marketing (DCM) can further accelerate travelers’ momentum towards vaxication. To address this critical knowledge gap in COVID-19 tourism, the present study aimed to examine the effect of pandemic fatigue on vaxication intention for the greatest of all trips (GOAT) under the moderating influence of travel FOMO and destination crisis marketing. Drawing on data of international expatriates in the United Arab Emirates (N = 356) and using covariance-based structural equation modeling with Mplus, the findings provide new evidence supporting a positive impact of international expat’s pandemic fatigue on vaxication intention for GOAT. Interestingly, this relationship is significantly reinforced by the international expat’s travel FOMO as well as tourism destinations switching gears from ‘managing crisis’ to ‘marketing crisis’. Based on prominent theories (i.e., theory of planned behavior, cognitive load theory, and protection motivation theory) and newly developed scales (i.e., travel FOMO and destination crisis marketing), the study implications are directed towards an outpacing trajectory of global tourism return prompted by pandemic fatigue, travel FOMO, destination crisis marketing, and vaxication intention for the greatest of all trips.

In today’s fast-paced world, where time is our most valuable asset, convenience is on the rise. This trend has led to a huge growth in digital on-demand services, which target convenience-oriented consumers. Using big data and text analytics, we examine the impact of service inconveniences on customer satisfaction in the context of on-demand food delivery. Building on the Model of Service Convenience and Attribution Theory, we analyze 235,147 user-generated reviews through a combination of keyword-assisted topic modelling and cumulative link model analysis. We introduce the concept of Remote support inconvenience and identify the key topics related to each inconvenience. We find that all service inconveniences negatively influence satisfaction (especially cancelled orders and remote support incidences), and the effects are exacerbated when moderated by stability or controllability attributions. These insights contribute to our theoretical understanding of service inconvenience and can help platforms identify and improve critical areas of their services.