Purpose: The purpose of this paper is to use demand behavior estimation to find the sources of price variability among resort hotels at different Spanish destinations. Design/methodology/approach: This paper estimates online demand functions during high season for seven four-star resort hotels...

Although the tourism industry, including hotels, has been ravaged by the COVID-19 pandemic, few empirical studies have systematically examined the typology and effectiveness of their responses. To capture common response strategies within the hotel industry and assess their effectiveness, two...

Purpose: The pace of booking is a critical element in the accuracy of revenue management (RM) systems. Anecdotal evidence suggests that booking windows exhibit persistent shifts due to a variety of macro and micro factors. The article outlines several causes and tests the impact of the shifts on...

We develop an innovative framework to study how hoteliers apply inventory control and price discrimination taking into account seasonality. We end up with a time-varying model that, using publicly available information, connects the early booking and last-minute pricing decisions. In doing so, we...

This paper compares the accuracy of a set of 22 methods for short-term hotel demand forecasting for lead times up to 14 days ahead. Machine learning models are compared with methods ranging from seasonal naive to exponential smoothing methods for double seasonality. The machine learning methods...

Revenue managers play a vital role in the hotel industry for maximizing revenues. The hotel industry also understands the importance of revenue managers. However, according to hotel revenue professionals, there is still a lack of qualified revenue managers. The purpose of this case study is to...

Revenue management (RM) is vital for a hotel's success. Qualified revenue managers are required to maximize the hotels' profit. Hospitality schools' RM courses are critical for preparing students for these roles. Even though hospitality schools and associations provide RM classes, lack of qualified ...

Despite the important role of the sentiment of customer reviews in the tourist decision-making process, it has received limited attention from the field of tourism demand forecasting. This study aims to examine the sentiment information of customer reviews and explore its potential in enhancing ...