This study reviews 211 key papers published between 1968 and 2018, for a better
understanding of how the methods of tourism demand forecasting have evolved over time …

Tourism has become a growing industry day by day with the developing economic
conditions and the increasing communication and social interaction ability of the people …

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 …

In recent years, machine learning models based on big data have been introduced into
marketing in order to transform customer data into meaningful insights and to make strategic …

Purpose Given that the use of Google Trends data is helpful to improve forecasting
performance, this study aims to investigate whether the precision of forecast combination …

Regarding bankruptcy prediction as a kind of grey system problem, this study aims to
develop multivariate grey prediction models based on the most representative GM (1, N) for …

Grey prediction models have been widely used in various fields and disciplines. Cumulative
sum operator, also called accumulative generation operator, is an essential step in grey …

The level of resilience for an urban retail system is referred to as the ability of diverse types
of retailing to adjust to any modifications, crises or shocks, which can adversely influence the …

Purpose Tourism demand forecasting is vital for the airline industry and tourism sector.
Combination forecasting has the advantage of fusing several forecasts to reduce the risk of …

Accurately forecasting the demand for tourism can help governments formulate industrial
policies and guide the business sector in investment planning. Combining forecasts can …