Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

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 …

This study examined the relationship between the price positioning of Airbnb listings,
measured in price difference between a hotel property and the nearby Airbnb listings as well …

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

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 …

Forecasting tourism demand for multiple tourist attractions on an hourly basis provides
important insights for effective and efficient management, such as staffing and resource …

Cancellations are a key aspect of hotel revenue management because of their impact on
room reservation systems. In fact, very little is known about the reasons that lead customers …

This study focuses on the decision-making process of Greek accommodation providers
during a period characterised by multiple crises (recession; political and financial instability; …

Overnight forecasting is a crucial challenge for revenue managers because of the
uncertainty associated between demand and supply. However, there is limited research that …

Purpose Hotels are considered one of the keys to tourism industry, without which it is
impossible to visualize this industry. Setting the proper price for hotels has always been a …