Information Technology & Tourism

Papers
(The TQCC of Information Technology & Tourism is 12. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
New technologies used in COVID-19 for business survival: Insights from the Hotel Sector in China97
Does virtual reality attract visitors? The mediating effect of presence on consumer response in virtual reality tourism advertising79
The use of 360-degree virtual tours to promote mountain walking tourism: stimulus–organism–response model71
Travel live streaming: an affordance perspective63
The impacts of ICTs on tourism development: International evidence based on a panel quantile approach54
Deep learning model based on expectation-confirmation theory to predict customer satisfaction in hospitality service54
ChatGPT for e-Tourism: a technological perspective50
Digital well-being in the tourism domain: mapping new roles and responsibilities45
Immersive technologies for tourism: a systematic review40
Interpreting the perceptions of authenticity in virtual reality tourism through postmodernist approach40
Enhancing sustainable development through tourism digitalisation: a systematic literature review33
Tourism destination management using sentiment analysis and geo-location information: a deep learning approach29
An enabling Framework for Blockchain in Tourism26
Profiling early adopters of blockchain-based hotel booking applications: demographic, psychographic, and service-related factors25
Tourism in the digital frontier: a study on user continuance intention in the metaverse23
Mapping tourism and hospitality research on information and communication technology: a bibliometric and scientific approach22
Comparing online travel review platforms as destination image information agents21
A user experience perspective on heritage tourism in the metaverse: Empirical evidence and design dilemmas for VR21
How does celebrity involvement influence travel intention? The case of promoting Chengdu on TikTok20
Ranking hotels through multi-dimensional hotel information: a method considering travelers’ preferences and expectations18
Collaborating against COVID-19: bridging travel and travel tech18
ICTs and well-being: challenges and opportunities for tourism18
Metaverse for tourists and tourism destinations15
Machine learning for assessing quality of service in the hospitality sector based on customer reviews14
Live-streaming community interaction effects on travel intention: the mediation role of sense of community and swift-guanxi14
A comparative analysis of factors influencing millennial travellers’ intentions to use ride-hailing13
Promotion of urban tourism: insights into user engagement on social media12
Popularity, novelty and relevance in point of interest recommendation: an experimental analysis12
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