OOIR: Observatory of International Research

Papers

(The median citation count of Information Technology & Tourism is 3. 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 2021-02-01 to 2025-02-01.)

Article	Citations
How does celebrity involvement influence travel intention? The case of promoting Chengdu on TikTok	71
Digital transformation and innovation in tourism events	63
Machine learning for assessing quality of service in the hospitality sector based on customer reviews	56
Urban tourists’ spatial distribution and subgroup identification in a metropolis --the examination applying mobile signaling data and latent profile analysis	54
Quantifying differences between UGC and DMO’s image content on Instagram using deep learning	50
The influence of AI and smart apps on tourist public transport use: applying mixed methods	45
Automated photo filtering for tourism domain using deep and active learning: the case of Israeli and worldwide cities on instagram	40
Mining mobile application usage data to understand travel planning for attending a large event	40
Live-streaming community interaction effects on travel intention: the mediation role of sense of community and swift-guanxi	36
Tourism destination management using sentiment analysis and geo-location information: a deep learning approach	29
Deep resource allocation for a massively multiplayer online finance of tourism gamification in metaverse	28
When and why personalized tourism recommendations reduce purchase intention?	26
Does algorithmic filtering lead to filter bubbles in online tourist information searches?	25
Advancing reliability assessment of venue-reference social media data for enhanced domestic tourism development	23
Benefit segmentation in the tourist accommodation market based on eWOM attribute ratings	22
Big data analytics of online news to explore destination image using a comprehensive deep-learning approach: a case from Mexico	21
Book review “contemporary research methods in hospitality and tourism”	20
Developing 360-degree stimuli for virtual tourism research: a five-step mixed measures procedure	18
Reshaping the future of tourism & hospitality industry through blockchain technology: a systematic literature review	18
Correction to: Mapping tourism and hospitality research on information and communication technology: a bibliometric and scientific approach	15
Modeling sustainable city trips: integrating $$\text {CO}_{2}\text {e}$$ emissions, popularity, and seasonality into tourism recommender systems	14
Systematic investigation of keywords selection and processing strategy on search engine forecasting: a case of tourist volume in Beijing	14
Beta tourist world: a conceptual framework for organizing an event in the metaverse	12
An enabling Framework for Blockchain in Tourism	12
Instagram travel influencers coping with COVID-19 travel disruption	11

Digital well-being in the tourism domain: mapping new roles and responsibilities	11
Asymmetrical impact of service attribute performance on consumer satisfaction: an asymmetric impact-attention-performance analysis	11
“Smart cities and tourism: co-creating experiences, challenges and opportunities”	11
Promotion of urban tourism: insights into user engagement on social media	10
Ranking hotels through multi-dimensional hotel information: a method considering travelers’ preferences and expectations	10
The determinants of the adoption of blockchain technology in the tourism sector and metaverse perspectives	9
ChatGPT for e-Tourism: a technological perspective	9
Immersive technologies for tourism: a systematic review	9
Travelers’ viewpoints on machine translation using Q methodology: a perspective of consumption value theory	9
Modelling barriers to metaverse adoption in the hospitality and tourism industry	9
Point-of-interest lists and their potential in recommendation systems	9
The influence of robot anthropomorphism and perceived intelligence on hotel guests’ continuance usage intention	8
Book Review "Digital and Social Media Marketing: Emerging Applications and Theoretical Development"	8
Assessing pre-travel online destination experience values of destination websites: scale development and validation	8
The perils of smart technology in museums	8
Can Google Trends data provide information on consumer’s perception regarding hotel brands?	7
Enhancing social media branded content effectiveness: strategies via telepresence and social presence	7
A digital humanism view on e-tourism	6
Metaverse in the tourism domain – introduction to the special issue	6
“Technology Application in Tourism Fairs, Festivals and Events in Asia”	6
Reaching new heights: investigating adoption factors shaping the moon landing of metaverse tourism	6
Explicating affordances in travel information search: investigating device use in relation to goals and personal characteristics	5
Embracing geospatial analytical technologies in tourism studies	5
Profiling early adopters of blockchain-based hotel booking applications: demographic, psychographic, and service-related factors	5
Do deep learning models accurately measure visual destination image? A comparison of a fine-tuned model to past work	4
Interpreting the perceptions of authenticity in virtual reality tourism through postmodernist approach	4
Psychological recovery effects of 3D virtual tourism with real scenes -- a comparative study	4
An affective approach to modelling intentions to use technologies for social distancing in hotels	4
Popularity, novelty and relevance in point of interest recommendation: an experimental analysis	4
Interactive webcam travel: supporting wildlife tourism and conservation during COVID-19 lockdowns	4
Travel live streaming: an affordance perspective	4
Tell me more: integrating LLMs in a cultural heritage website for advanced information exploration support	3
Challenges in smart tourism: a media content analysis of digital barriers for senior tourists in China	3
The role of procedural, financial and relational switching costs in the Chinese online hotel booking market: antecedents and consequences	3
Metaverse for tourists and tourism destinations	3
Automatic generation of sailing holiday itineraries using vessel density data and semantic technologies	3
“Technology Advances and Innovation in Wine Tourism: New Managerial Approaches and Cases”	3
A machine learning-based approach for classifying tourists and locals using geotagged photos: the case of Tokyo	3
Digital transformation: what are the smart cities today?	3
Applied data science in tourism (Interdisciplinary approaches, methodologies, and applications	3