The main objective of this current research is to investigate the impact of “work balance” on “psychological well-being” using employees within the hospitality industry in United Arab Emirates as statistical units. To meet the objective of this research, we developed a structural equation model to examine how psychological autonomy, psychological competence, and psychological relatedness affect psychological well-being and work-life balance, as well as the effect of work-life balance on psychological well-being. We also examine the mediating effect of work-life balance in these relationships. The results of this study show that psychological autonomy affect positively both psychological well-being and work-life balance, whereas psychological competence only affect psychological well-being positive. Moreover, psychological relatedness affects negatively both psychological well-being and work-life balance while work-life balance affects positively psychological well-being.
This paper investigates the expected results of the current COVID-19 outbreak to arrivals of Chinese tourists to the USA and Australia. The growing market share of Chinese tourism and the fact that the county was the first to experience the pandemic make China a suitable proxy for predictions on global tourism. We employ data from the 2003 SARS outbreak to train a deep learning artificial neural network named Long Short Term Memory (LSTM). The neural network is calibrated for the particulars of the current pandemic. Our findings, which are cross-validated using backtesting, suggest that recovery of arrivals to pre-crisis levels can take from 6 to 12 months and this can have significant adverse effects not only on the tourism industry but also on other sectors that interact with it.
The main purpose of this study was to investigate the factors that promote successful rural tourism development in light of EU sponsorship of rural tourism hosts. The paper examines the effect of the size and geographical characteristics of rural tourism hosts on their views towards rural tourism development. The paper employs factor analysis, t-tests, and ANOVA to analyze the data from the survey of the hosts. The survey was sent to 652 rural tourism hosts, of whom 174 replied, giving a response rate of 27%. The results show the following. Firstly, subsidies, leadership, and cooperation are viewed by the hosts as important factors. Secondly, sponsorship, size, and peripheral economic conditions influence rural tourism hosts’ views on success factors of rural enterprises.
Hospitality businesses might achieve a competitive advantage by adopting cryptocurrency payments. This study provides insight into the factors that influence hospitality businesses’ intention to use new digital payments based on a conceptual approach. One of the contributions to the literature is in integrating an external variable – perceived security – into the Technology Acceptance Model. Perceived security is considered a strong predictor for a new payment technology adoption. This study also contributes to the academic research by illuminating potential directions for future empirical research.
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