OOIR: Observatory of International Research

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 2021-04-01 to 2025-04-01.)

Article	Citations
How does celebrity involvement influence travel intention? The case of promoting Chengdu on TikTok	78
Urban tourists’ spatial distribution and subgroup identification in a metropolis --the examination applying mobile signaling data and latent profile analysis	71
Machine learning for assessing quality of service in the hospitality sector based on customer reviews	60
Automated photo filtering for tourism domain using deep and active learning: the case of Israeli and worldwide cities on instagram	59
Digital transformation and innovation in tourism events	55
Mining mobile application usage data to understand travel planning for attending a large event	52
Quantifying differences between UGC and DMO’s image content on Instagram using deep learning	47
When and why personalized tourism recommendations reduce purchase intention?	36
The influence of AI and smart apps on tourist public transport use: applying mixed methods	34
SHMIS: An integrated IoT context awareness framework for hotel management to enhance guest experience and operational efficiency	31
Live-streaming community interaction effects on travel intention: the mediation role of sense of community and swift-guanxi	30
Deep resource allocation for a massively multiplayer online finance of tourism gamification in metaverse	30
Instagram travel influencers coping with COVID-19 travel disruption	26
Asymmetrical impact of service attribute performance on consumer satisfaction: an asymmetric impact-attention-performance analysis	24
Benefit segmentation in the tourist accommodation market based on eWOM attribute ratings	20
Reshaping the future of tourism & hospitality industry through blockchain technology: a systematic literature review	20
Ranking hotels through multi-dimensional hotel information: a method considering travelers’ preferences and expectations	19
Big data analytics of online news to explore destination image using a comprehensive deep-learning approach: a case from Mexico	19
Does algorithmic filtering lead to filter bubbles in online tourist information searches?	18
Book review “contemporary research methods in hospitality and tourism”	17
Advancing reliability assessment of venue-reference social media data for enhanced domestic tourism development	16
Beta tourist world: a conceptual framework for organizing an event in the metaverse	16
Modeling sustainable city trips: integrating $$\text {CO}_{2}\text {e}$$ emissions, popularity, and seasonality into tourism recommender systems	16
The determinants of the adoption of blockchain technology in the tourism sector and metaverse perspectives	15
Correction to: Mapping tourism and hospitality research on information and communication technology: a bibliometric and scientific approach	15

Forecasting tourism demand with pre-holiday attribute	14
ChatGPT for e-Tourism: a technological perspective	14
An enabling Framework for Blockchain in Tourism	13
“Smart cities and tourism: co-creating experiences, challenges and opportunities”	13
Developing 360-degree stimuli for virtual tourism research: a five-step mixed measures procedure	12