Owing to its unparalleled transparency and disintermediation characteristics, blockchain
technology has a huge potential to transform the tourism and hospitality industry. Airlines …

Mega shopping malls technology-enabled services influence tourists shopping behavior as
Jumbo malls offer a broader range of products and services with innovative features that …

Abstract The coronavirus disease (COVID-19) pandemic has already caused enormous
damage to the global economy and various industries worldwide, especially the tourism …

Generic sentiment calculations cannot fully reflect tourists' preferences, whereas fine-
grained sentiment analysis identifies tourists' precise attitudes. This study forecasted visitor …

Various factors have contributed to forecasting tourism demand. Although deep learning
methods can achieve accurate results, they haven't considered the temporal heterogeneity …

Developing a tourism forecasting function in decision support systems has become critical
for businesses and governments. The existing forecasting models considering spatial …

Currently, tourism management research is focused on comprehending the fluctuating
tourist preferences and devising targeted development strategies through extensive analysis …

Stock price forecasting is a challenging task because financial time series are primarily
nonlinear, noisy, and disordered systems that are complicated to forecast. Deep learning …

This study forecasts both Halal tourism demand (HTD) and the financial performance of
Halal tourism industry of Malaysia using machine learning. Based on the data over the …

Purpose This paper aims to analyze the research highlights, evolutionary process and future
research directions in the field of tourism forecasting. Design/methodology/approach This …