Purpose Several review articles have been published within the Artificial Intelligence (AI)
literature that have explored a range of applications within the tourism and hospitality …

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 …

ABSTRACT The novel coronavirus (COVID-19), which is one of its kind of humanitarian
disasters, has affected people and businesses worldwide, triggering a global economic …

Timely tourist demand forecasting is essential for the operation of the tourism industry;
however, most studies focus on quarterly-or monthly-basis data, whose low-frequency …

The tourism sector, with its perishable nature of products, requires precise estimation of
demand. To this effect, we propose a deep learning methodology, namely Bayesian …

To leverage computer vision technology to improve the accuracy of tourism demand
forecasting, a model based on deep learning with time series imaging is proposed. The …

A novel approach based on long short-term memory (LSTM) networks that can incorporate
multivariate time series data, including historical tourism volume data, search engine data …

Tourism planners rely on accurate demand forecasting. However, despite numerous
advancements, crucial methodological issues remain unaddressed. This study aims to …

Because of high fluctuations of tourism demand, accurate predictions of tourist arrivals are of
high importance for tourism organizations. The study at hand presents an approach to …

Abstract The coronavirus disease (COVID-19) pandemic has already caused enormous
damage to the global economy and various industries worldwide, especially the tourism …