The aim of this paper is to produce forecasts for tourism flows and tourism revenue for ASEAN and East Asian countries after the end of the COVID-19 pandemic. By implementing two different machine learning methodologies (the Long Short Term Memory neural network and the Generalised Additive...

This paper is to produce different scenarios in forecasts for international tourism demand, in light of the COVID-19 pandemic. By implementing two distinct methodologies (the Long Short Term Memory neural network and the Generalized Additive Model), based on recent crises, we are able to...

This study examines the determinants of the relationship between terrorism and tourism, by testing different proxies to assess both the frequency and the severity of terrorist activity. The methodological approach includes implementing Principal Component Analysis into four different sets of...

The hospitality sector, via resort mini-clubs also referred as kids' clubs, has put in place initiatives to empower children to be responsible tourists. This is all the more important as children are the tourists of the future. In their endeavour to educate children during their holidays, many...