Information Technology & Tourism

Papers
(The median citation count of Information Technology & Tourism is 4. 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
Tourism demand forecasting of multi-attractions with spatiotemporal grid: a convolutional block attention module model11
Metaverse and tourism development: issues and opportunities in stakeholders’ perception11
Understanding the development of blockchain-empowered metaverse tourism: an institutional perspective11
Technology and museum visitor experiences: a four stage model of evolution11
Metaverse in the tourism sector for talent management: a technology in practice lens10
Interactive webcam travel: supporting wildlife tourism and conservation during COVID-19 lockdowns10
My heritage in my pocket: mobile device and app use by genealogy tourists9
The determinants of the adoption of blockchain technology in the tourism sector and metaverse perspectives9
Differences in Chinese and Western tourists faced with Japanese hospitality: a natural language processing approach9
Exploring the psychological effects of Metaverse on mental health and well-being9
Point-of-interest lists and their potential in recommendation systems9
Can Google Trends data provide information on consumer’s perception regarding hotel brands?8
The pandemic of loneliness: designing smart tourism for combating loneliness8
Benefit segmentation in the tourist accommodation market based on eWOM attribute ratings8
Developing a model for smart tourism destinations: an interpretive structural modelling approach8
Enhancing social media branded content effectiveness: strategies via telepresence and social presence7
A machine learning-based approach for classifying tourists and locals using geotagged photos: the case of Tokyo7
Psychological recovery effects of 3D virtual tourism with real scenes -- a comparative study6
Scoping out urban areas of tourist interest though geolocated social media data: Bucharest as a case study6
A digital humanism view on e-tourism6
Attitudes towards machine translation and languages among travelers6
Does familiarity with the attraction matter? Antecedents of satisfaction with virtual reality for heritage tourism5
Do same-level review ratings have the same level of review helpfulness? The role of information diagnosticity in online reviews5
The role of procedural, financial and relational switching costs in the Chinese online hotel booking market: antecedents and consequences5
How do sensory features of places impact on spatial exploration of people with autism? A user study5
Asymmetrical impact of service attribute performance on consumer satisfaction: an asymmetric impact-attention-performance analysis5
An affective approach to modelling intentions to use technologies for social distancing in hotels4
Systematic investigation of keywords selection and processing strategy on search engine forecasting: a case of tourist volume in Beijing4
Assessing the helpfulness of hotel reviews for information overload: a multi-view spatial feature approach4
The influence of robot anthropomorphism and perceived intelligence on hotel guests’ continuance usage intention4
Mining mobile application usage data to understand travel planning for attending a large event4
An empirical study of the impact of metaverse storytelling on intentions to visit4
Instagram travel influencers coping with COVID-19 travel disruption4
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