Purpose: This study analyzes employee turnover in the under-researched context of the Gulf Cooperation Council. Methods: This study uses a qualitative approach to examine the reasons for turnover and strategies adopted within the hotel sector to reduce this turnover. Results: The findings reveal...

Aim of the study is to develop a model delineating customer perceptions on wedding marketing strategies in Kaohsiung, Taiwan. Main objective of this paper is to analyse a category of special events: the wedding market sector in Kaohsiung, Taiwan by examining how they attract consumers regarding...

Visitor behavior can determine athletic events structure making it an important consideration for managers. In this study visitor behavior is analyzed using a new managerial tool called “TiCoSa – Time, Cost, and Satisfaction Activity Blocks” which permits managers to see the time, cost and...

Book of extended abstracts (proceedings) of TOURMAN 2021 Conference "Restarting tourism, travel and hospitality: The day after".

Purpose – The purpose of this paper is to investigate sports participants’ choice behaviour and draw useful conclusions about the ideal features of small-scale sporting events that maximize attractiveness and desirability among potential competitors to attend and compete....

Purpose: The purpose of this paper is to consider the self-determination theory (SDT) to examine the perceived impact of events on happiness based on event organizers’ opinions. Moreover, it explores whether event organizers in Abu Dhabi consider promoting happiness and well-being as a value...

Purpose As a contribution to current knowledge of luxury yachting, this study applies a theoretical discussion to explain how gratification, social motives, financial risk and status quo interact to predict satisfaction and word-of-mouth intentions among luxury yachting travelers. Additionally,...

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...