Purpose This study aims to provide a comprehensive review of hotel demand forecasting to
identify its key fundamentals and evolution and future research directions and trends to …

Accurate demand forecasting is integral for data-driven revenue management decisions of
hotels, but an unprecedented demand environment caused by COVID-19 pandemic has …

Purpose Practicing flexible revenue management (RM) at hotels during Covid-19 is
essential. The well-performed hotels ponder how to transform the target from revenue to net …

The use of online reviews for forecasting hotel demand has gained increasing interest in
recent years. However, prior studies have primarily focused on sentiment information and do …

This research contributes to the literature on consumption displacement by exploring the
pandemic-led shifts in hotel booking patterns. We perform a longitudinal analysis and a …

Increasing competition and adoption of revenue management practices in the hotel industry
fuel the need for accurate forecasting to maximize profits and optimize operations …

Purpose This study aims to predict hotel demand through text analysis by investigating
keyword series to increase demand predictions' precision. To do so, this paper presents a …

Purpose Given the importance of spatial effects in improving the accuracy of hotel demand
forecasting, this study aims to introduce price and online rating, two critical factors …

This paper investigates the impact of the COVID-19 pandemic and its associated policy
effects on global tourism performance. Using daily data from 117 countries between January …

This systematic literature review (SLR) explores current state-of-the-art artificial intelligence
(AI) methods for forecasting hotel demand. Since revenue management (RM) is crucial for …