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 …

Purpose The purpose of this paper is to review recent studies published from 2007 to 2015
on tourism and hotel demand modeling and forecasting with a view to identifying the …

ABSTRACT The novel coronavirus (COVID-19), which is one of its kind of humanitarian
disasters, has affected people and businesses worldwide, triggering a global economic …

Because of high fluctuations of tourism demand, accurate predictions of tourist arrivals are of
high importance for tourism organizations. The study at hand presents an approach to …

The method by which high-technology product manufacturers balance profits and
environmental performance is of crucial concern for governments and enterprises. To …

Vietnam has experienced a tourism expansion over the last decade, proving itself as one of
the top tourist destinations in Southeast Asia. The country received more than 18 million …

Recently, there seems to be increased interest in time series forecasting using soft
computing (SC) techniques, such as fuzzy sets, artificial neural networks (ANNs), rough set …

Artificial intelligence applications and robotic technologies, which are rapidly spreading and
widely used throughout the world, are discussed by different disciplines in the literature. The …

Purpose This study aims to examine whether and when real-time updated online search
engine data such as the daily Baidu Index can be useful for improving the accuracy of …

Stock market has been developed for over twenty years, and has gone deeply into all
aspects of daily economic life and attracted more and more investors' attentions. Therefore …