Big data in tourism research: A literature review

J Li, L Xu, L Tang, S Wang, L Li - Tourism management, 2018 - Elsevier
Even at an early stage, diverse big data have been applied to tourism research and made
an amazing improvement. This paper might be the first attempt to present a comprehensive …

A look back and a leap forward: a review and synthesis of big data and artificial intelligence literature in hospitality and tourism

H Lv, S Shi, D Gursoy - Journal of Hospitality Marketing & …, 2022 - Taylor & Francis
In reaction to the growing attention paid to big data and artificial intelligence in hospitality
and tourism research, we systematically reviewed 270 relevant studies to identify topical …

Dealing with pandemics: An investigation of the effects of COVID-19 on customers' evaluations of hospitality services

F Hu, T Teichert, S Deng, Y Liu, G Zhou - Tourism Management, 2021 - Elsevier
The hospitality industry is highly vulnerable to pandemics. However, little is known about
how pandemics alter travelers' evaluations of hospitality services. Therefore, this study …

Understanding service attributes of robot hotels: A sentiment analysis of customer online reviews

JM Luo, HQ Vu, G Li, R Law - International Journal of Hospitality …, 2021 - Elsevier
Robots and artificial intelligence are essential to the future of the hospitality industry, and
they are receiving increasing interest from hotel managers and researchers. However, the …

Business intelligence and big data in hospitality and tourism: a systematic literature review

M Mariani, R Baggio, M Fuchs… - International Journal of …, 2018 - emerald.com
Purpose This paper aims to examine the extent to which Business Intelligence and Big Data
feature within academic research in hospitality and tourism published until 2016, by …

[HTML][HTML] Big Data sources and methods for social and economic analyses

D Blazquez, J Domenech - Technological Forecasting and Social Change, 2018 - Elsevier
Abstract The Data Big Bang that the development of the ICTs has raised is providing us with
a stream of fresh and digitized data related to how people, companies and other …

Revealing customers' satisfaction and preferences through online review analysis: The case of Canary Islands hotels

A Ahani, M Nilashi, E Yadegaridehkordi… - Journal of Retailing and …, 2019 - Elsevier
Travelers can enjoy a wide range of choices with the assistance of online review websites
such as TripAdvisor. Online reviews provided by customers are an important portion of …

Tourism demand forecasting using tourist-generated online review data

M Hu, H Li, H Song, X Li, R Law - Tourism management, 2022 - Elsevier
This study aims to forecast international tourist arrivals to Hong Kong from seven English-
speaking countries. A new direction in tourism demand modeling and forecasting is …

Employing structural topic modelling to explore perceived service quality attributes in Airbnb accommodation

K Ding, WC Choo, KY Ng, SI Ng - International Journal of Hospitality …, 2020 - Elsevier
This study employs the structural topic model to extract service quality attributes from
242,020 Airbnb reviews in Malaysia. 22 service related topics were extracted from the …

Forecasting tourism demand with composite search index

X Li, B Pan, R Law, X Huang - Tourism management, 2017 - Elsevier
Researchers have adopted online data such as search engine query volumes to forecast
tourism demand for a destination, including tourist numbers and hotel occupancy. However …