Journal of Hospitality and Tourism Technology

Papers
(The H4-Index of Journal of Hospitality and Tourism Technology is 22. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
Forecasting international tourist arrivals in South Korea: a deep learning approach107
A generalizable sentiment analysis method for creating a hotel dictionary: using big data on TripAdvisor hotel reviews62
Examining metaverse experiences of people traveling to Turkey amid massive migration waves57
Examining Turkish travellers’ non-immersive virtual heritage tour experiences through stimulus–organism–response model55
Unfolding visual characteristics of social media communication: reflections of smart tourism destinations49
Impact of customer experience on attitude and utilization intention of a restaurant-menu curation chatbot service41
Smart tourism destinations: an overview of current research trends and a future research agenda40
Developing a strategic viability-fit model of mobile technology adoption in hotels36
Data mining approach investigates Western-style restaurant hospitality management in Taiwan36
Antecedents and consequences of strategic online-reputation management: moderating effect of online tools32
Rethinking trust in tourism apps: the moderating effect of age32
Impacts of tourists’ trust, perception and acceptance of health quick response technology on responsible pandemic travel behaviours31
The acceptance of augmented reality tour app for promoting film-induced tourism: the effect of celebrity involvement and personal innovativeness31
Enhancing user engagement and loyalty in online travel agents: a gamification approach29
Assessing the effects of user-generated photos on hotel guests’ price, service quality, overall image perceptions and booking intention27
Exploring the impact of digital economy on tourism employment27
Exploring success factors of tourism performing arts by analyses of online reviews27
Consumer behavior of mobile food ordering app users during COVID-19: dining attitudes, e-satisfaction, perceived risk, and continuance intention26
Enhancing service adaptability: a moderated mediation model of workplace ostracism, robot anthropomorphism, employees’ readiness to change, and performance efficacy25
Understanding customer multi-interactions, trust, social support and voluntary performance in smart restaurants24
Influence of robot coolness and affinity on behavioral intention: examining perceived value as a mediating factor23
What factors drive consumers’ desire to continue using food delivery apps (FDA) in Taiwan after the COVID-19 pandemic?22
Investigating customer acceptance, usage, trust, and perceived safety risk of self-ordering kiosk technology in Malaysian quick-service restaurants during COVID-19 pandemic22
The effect of virtual reality experience quality on destination visit intention and virtual reality travel intention22
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