The aim of this systematic literature review is to analyze the existing literature on the impact of artificial intelligence (AI) on employee work outcomes in the hospitality industry context. This paper systematically reviews the association between AI and employee work outcomes through an extensive literature review of published peer-reviewed English articles. Eighteen articles have been found in 12 journals and analyzed through deductive approach. The findings were synthesized into three major themes: enablers or inhibitors of AI adoption, the type of AI-related technique, outcomes of AI adoption. Well-being, turnover intention, and job engagement were identified as the most significant and most commonly studied outcomes of AI adoption.

Building on the social support theory and the job demands-resources (JD-R) model, the current research explores the role of coworker task support on the perceived uncertainty, job stress, and emotional exhaustion of hospitality employees affected by the COVID-19 crisis. Moreover, this research investigates the moderating impact of supervisor support and family support on the relationship between perceived uncertainty and emotional exhaustion. The data were collected from 353 hospitality employees currently working in the hospitality industry in Pakistan. Partial least squares structural equation modeling (PLS-SEM) was employed using SmartPLS 3.3.3 software to examine the proposed hypotheses and to analyze the research model. The results point out that coworker task support has no significant relationship with emotional exhaustion. Furthermore, perceived uncertainty and job stress fully mediated the association between coworker task support and emotional exhaustion. Additionally, supervisor support and family support significantly moderated the association between perceived uncertainty and emotional exhaustion. This research contributes to the literature by expanding our knowledge of the role of social support in alleviating the perceived uncertainty, job stress, and emotional exhaustion of hospitality employees during the COVID-19 crisis. The theoretical and practical implications of the study are further discussed.

Purpose: The metaverse is a transformative platform with the potential to reshape hospitality and tourism by promoting sustainable practices. Despite growing interest, the connection between the metaverse and sustainability remains unclear. This study aims to uncover the structure of this domain, offering insights into emerging research within the hospitality and tourism context.Design/methodology/approach: The study applied bibliometric analysis to examine 246 articles in the Web of Science (WoS) and Scopus databases, spanning the period from 2011 to 2024. Network analysis was then performed using VOSviewer as part of the evaluation process.Findings: The major findings comprise the leading authors, countries, journals, research developments, and future research directions in the relevant field. Finally, we categorized the study into three main streams: (1) “Technological Advancements in Sustainable Tourism,” (2) “Geospatial Technology and Sustainable Development in Hospitality and Tourism,” and (3) “Immersive and Sustainable Tourism Experiences in the Metaverse.”Originality/value: This study is one of the first to offer a thorough and holistic bibliometric review of the nexus between the metaverse and sustainability in hospitality and tourism, which will guide the exploration of uncharted aspects of the field.

This paper aims to determine the effect size and direction of the association between hospitality employees' job satisfaction and turnover intention through a meta-analysis. Relevant studies were systematically searched in the Web of Science (WoS), EBSCOhost Hospitality & Tourism Complete, and Google Scholar databases. Ultimately, 32 studies examining the connection between job satisfaction and turnover intention, with reported correlation coefficients and sample sizes, were included in the research. The analyses were conducted using the CMA 3.0 program. To assess publication bias, a funnel plot, Begg & Mazumdar rank correlations, and Classic Fail-safe N tests were applied. Utilizing a random effects model, the study identified a moderate and negative association between job satisfaction and turnover intention (r =-0.434, p < 0.005). Additionally, the moderating role of the sampling region in the relationship between these variables was confirmed. Based on the findings, practical recommendations are provided for hospitality managers.

The study aims to reveal the relationship between the personality traits and professional commitment of university students and to determine whether personality affects professional commitment. For this purpose, 272 students studying at Akdeniz University, Faculty of Tourism participated in the research. A questionnaire was used as the data collection tool. Arithmetic mean and standard deviation values were calculated to determine students’ personality traits and organizational commitment levels. Correlation analysis was performed to calculate the relationships between the variables discussed in the study, and multiple linear regression analysis was carried out to identify the predictive power that the independent variables had on the dependent variables. Research results indicated that there was a significant and positive relationship between the students' personality traits and professional commitment levels. In addition, it was determined that the extraversion personality trait was a significant predictor of the affective commitment dimension, neuroticism personality trait was a significant predictor of the continuance commitment dimension, and agreeableness personality trait was a significant predictor of the normative commitment dimension. It is believed that the results of the study will provide concrete information about the relationship between professional commitment, one of the main problem areas of the sector, and personality, one of the key concerns and interesting topics in the field of organizational behavior and bring considerable benefits to the business world.