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 …

Purpose This study aims to provide a systematic review of the existing literature on the
applications of deep learning (DL) in hospitality, tourism and travel as well as an agenda for …

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 …

Via the empirical evidences from Airbnb from eight major cities in US, we examine the role of
information disclosure in influencing consumers' purchase behavior on this sharing …

Deep learning presents excellent learning ability in constructing learning model and greatly
promotes the development of artificial intelligence, but its conventional models cannot …

Interpretive marine turtle tours in Cyprus yields an alluring ground to unfold the complex
nature of pro-environmental behavior among travelers in nature-based destinations …

Abstract The United Nations 2030 Agenda for Sustainable Development emphasizes the
importance of fostering “full and productive employment and decent work,” highlighting the …

In the hospitality industry, revenue management is vital for the sustainability of the business.
Powering this strategic concept is the occupancy rate (OR) forecast. Predicting occupancy of …

Tourism and the hotel business have benefited greatly from the use of digital social
networking. Using social big data research, the application of deep learning seems to have …

Purpose This study aims to propose a risk-induced game theoretic forecasting model to
predict average daily rate (ADR) under COVID-19, using an advanced recurrent neural …