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The purpose of this study is to systematically review the recent empirical literature on job stress and burnout among prison staff with a focus on predictors, outcomes of stress and burnout and the mediating role that stress and burnout can play between its predictors and outcomes.

The authors followed systematic literature review (SLR) protocols for the social sciences, and searches were done on two large research databases: SCOPUS and Web of Science. Articles included in the study were from January 2015 to March 2020. After the screening and eligibility processes, 48 articles met the inclusion/exclusion criteria, and 33 articles were included in the full-text qualitative analysis.

Characteristics of the samples, main authors and journals and measures used to assess stress and burnout are presented, showing that most research was done in the USA, with cross-sectional studies using similar measures of stress and burnout. Results from the qualitative analysis were organised around the main research questions. Most studies explored the antecedents of stress and burnout in the context of the job demands – resources model. Common predictors that consistently increase stress and burnout among different samples include perceived dangerousness of the job and work–family conflict. Participation in decision-making and social support consistently decrease job stress.

This paper presents a SLR on stress and burnout among prison officers in a pre-COVID-19 pandemic era, providing an important picture of the published scientific research on the topic as well as implications for theory and practice.

This study aims to investigate how to manage the stressors that facility managers (FMs) face with the aim of reducing their stress and strain levels.

Using the job demands-resources (JD-R) model, stressors are operationalized from job demands, job resources and personal resources constructs. A structured questionnaire was used to collect data from FMs based in Singapore.

FMs have significantly high levels of stress, but they are able to manage this well. Job demands that cause stress and strain are those relating to insufficient time to complete the work and difficulties in handling the work. The lack of job resources in terms of lack of organizational support and inadequate stress mitigation programs are associated with high levels of stress and strain.

The limitations are the relatively small sample size and absence of a database of FMs in Singapore, and correlation is not causation when determining the association between stressors and stress and strain.

Based on the recommendations, employers and FMs may manage the specific stressors identified so that FMs’ stress and strain levels are under control to enable them to work optimally.

This research discovered that the JD-R model is moderated by certain features of facilities management and FMs. When these features are present, FMs are predisposed to more stressors, and higher stress and strain. For the facilities management profession, the discovery is that there are significantly more job demands: for in-house FMs compared to those working for outsourced firms; for FMs who need to carry out estate and asset management, landlord activities and facility planning compared to FMs who focus on operations and maintenance; and for FMs who work longer than five days compared to those who work a five-day week.

The rise of communication software has changed our work style. The objectives of this study are: (1) to explore the effect of supervisors making after-hours work requests using communication software (SWRUCS) on employees’ job stress, quality of life and (2) to examine the moderating effect of personality traits and the cross-level contextual effect of social support.

A questionnaire survey was conducted to obtain information from 357 employees.

The results suggested that SWRUCS exacerbated job stress, which negatively impacted on quality of life and well-being. Moreover, different personality traits can either increase or decrease the positive or negative effect of SWRUCS on job stress. This study also revealed that social support can reduce employees’ job stress in a cross-level fashion. Furthermore, social support, especially organizational and supervisory support, can decrease the negative effect of job stress on employees’ quality of life and well-being.

Theoretically, this study has broadened the research scope of the organizational application of communication software, and practically, this study has demonstrated the reason why organizations should provide social support and select employees with suitable personality traits.

This paper aims to investigate how home-based telework (HBT) affects job stress. The authors argue that an intrinsic effect of telework like work extension mediates this relationship. Work extension is reflected in two employee behaviours: working in free time and presentism.

The proposed model has been estimated using the Preacher and Hayes bootstrap method for multiple mediation analysis, with 1,000 repetitions. The data used come from the sixth European Working Conditions Survey.

The analysis indicates that HBT does not pose an inherent risk for job stress but causes a change in the employees' behaviour, increasing working in free time and presenteeism and thus job stress. The mediation model indicates that once these behaviours are controlled, the effect of HBT is to reduce stress.

The authors argue that companies should focus on human resource practices to control workers' behaviours that have a detrimental effect on job stress while institutions should regulate HBT.

The analysis deepens the unclear relationship between HBT and job stress by introducing employees' behaviours concerning work extension into the equation.

This study aims to examine the relationships among fear of COVID-19, job stress, job commitment and intention to quit. It also investigates the boundary conditions of the impact of fear of COVID-19 on job stress and intention to quit, a research gap that has not been addressed yet.

This research focused on full-time frontline hotel employees who have been working in four- and five-star hotels in Ho Chi Minh City, Vietnam. A pilot test was performed before collecting formal data. The survey was conducted face-to-face on site so that any potential confusion could be clarified right away. 487 valid responses were analyzed using SPSS 28 and SmartPLS 4.

The majority of hypotheses were supported, with the results suggested that supervisor support contributes to reducing the tendency of hotel employees to quit their job and their job stress. Besides, government support is necessary to make staff feel secure during the pandemic.

This study contributes to pointing out central priorities in making decisions by hotel managers when facing crises. Managers need to focus more on measures to help their employees feel secure and should be available for guidance and feedback when nedeed. Additionally, supportive policies from the government, especially financial support, can provide hotel employees with resources they need to maintain a basic level of living in the face of a severe drop in their income. The study provides the hotel industry not only in Vietnam but also in countries with comparable settings with strategies to cope with unexpected events.

Research on intention to quit a job has mainly focused on a complex interplay of internal factors. However, the influence of fear of COVID-19 on intention to quit a job has not been studied in the context of Vietnamese hotel industry yet. During the COVID-19 pandemic, a number of hotels in Vietnam had to close due to a lack of visitors, which had a negative impact on human resources. Accordingly, fear, stress, commitment and intention to quit a job are the issues faced by staff.

This study aims to examine the impact of artificial intelligence (AI) adoption on job insecurity and its subsequent effect on turnover intentions within the hotel industry. It investigated how AI-induced job insecurity affects the likelihood of employees considering leaving their current hotel jobs for other hotels or for opportunities outside the hotel sector, mediated by feelings of job stress and insecurity.

Quantitative data analysis used 259 responses from frontline hotel employees. Confirmatory factor analysis was used to explore the factor structure and assess model fit indices. Structural equation modeling was then applied to test the hypotheses.

Findings reveal that AI awareness has a positive impact on job stress and insecurity. Moreover, job insecurity is found to positively affect turnover intentions, with a notably stronger effect observed for turnover intentions toward non-hotel companies. Additionally, the influence of social capital as a moderator on the relationship between job insecurity and turnover intention varies depending on the specific dimensions of turnover intention.

This study contributes to enhancing both theoretical frameworks and empirical insights into turnover dynamics within the hotel sector. However, future research should take into account employees’ positions, roles, organizations and career levels by examining these factors in relation to technology awareness, job stress, job insecurity and turnover intention.

This study initially focuses on the phenomenon of dynamic turnover issues within the hospitality sector, offering empirical and practical perspectives on effectively integrating new technologies and managing human resources amidst the automation and AI era.

本研究探讨了人工智能（AI）应用对酒店业工作不安全感的影响, 以及其对员工流失意向的后续影响。研究调查了AI引发的工作不安全感如何通过工作压力和不安全感的感受影响员工考虑离开当前酒店工作、转投其他酒店或者寻求酒店行业外的机会。

本研究采用了259名一线酒店员工的定量数据分析。采用验证性因子分析（CFA）探索因子结构并评估模型拟合指标。随后, 应用结构方程模型（SEM）来检验假设。

研究结果显示, AI意识对工作压力和不安全感有积极影响。此外, 工作不安全感被发现对员工流失意向产生正向影响, 尤其是对转投非酒店公司的流失意向影响更为显著。此外, 社会资本作为调节变量对工作不安全感与流失意向之间的关系的影响取决于流失意向的具体维度。

本研究有助于加强酒店业人才流失动态的理论框架和实证见解。然而, 未来研究应考虑员工的职位、角色、组织和职业水平, 通过研究这些因素与技术意识、工作压力、工作不安全感和流失意向之间的关系。

本研究首次聚焦于酒店业中动态人才流失问题的现象, 提供了在自动化和人工智能时代有效整合新技术并管理人力资源的实证和实践观点。

The purpose of this study is to explore robot-phobia as a source of occupational stress among hospitality employees in the context of increasing robotization in the industry.

The study sampled 321 lodging employees and 308 food service employees in the USA. An online panel company recruited the participants and administered an online survey. The study used various analytical methods, including structural modeling, t-tests and multi-group analyses.

The study results reveal that hospitality workers experience robot-phobia regardless of their sector or position. Robot-phobia causes job insecurity and stress, which increases turnover intention. These negative outcomes are more pronounced for those who interact more frequently with robots.

The study findings suggest that hospitality workers fear being replaced by robots in the near future. Therefore, hospitality organizations should offer adequate training and education on the advantages and drawbacks of robots and establish a supportive and collaborative work environment that values human–robot interaction.

This study offers new insights regarding human–robot interaction from the employee perspective by introducing the concept of robot-phobia in the hospitality workplace. A comprehensive picture of how hospitality employees confront the increasing presence of robots is provided in this study.

The goals of this review are to identify key theories, constructs and themes in the international business travel (IBT) literature and to propose a model based on findings, theories and constructs drawn from adjacent research literature.

The authors reviewed the business travel (BT) literature to identify conceptual and empirical articles on IBT published from 1990 to 2022. Only 53 publications were suitable for review. The authors reviewed them using an open coding system.

The IBT literature is dispersed across several disciplines that use different methods, focus on different aspects of travel and emphasize different positive and negative outcomes that IBT engenders. The publications employed a diverse range of methods, including review and conceptual (11), quantitative (28) and qualitative methods (14). The samples were diverse in country, age, marital status and tenure. Many publications were descriptive and exploratory. The few that based their research on theory focused on two stress theories: Job Demands-Resources (JD-R) theory and conservation of resources (COR) theory.

Experimental and longitudinal designs are needed to reduce the causal ambiguity of this body of mostly correlational and cross-sectional research. The authors discuss the impact of emerging advances in virtual global communication technology on the future of IBT.

More research is needed on positive aspects of IBT. Human resource (HR) people should be aware of these issues and are encouraged to decrease the deleterious aspects of the international trips and increase the positive ones.

Increasing well-being of international business travelers is important for the travelers, their families and the organization.

This is the first IBT review focused on the theoretical underpinnings of research in the field. The authors offer a model for IBT and introduce adjustment and performance as important constructs in IBT research. The authors encompass crossover theory to add the reciprocal impact of travelers and spouses and label IBT a “double-edge sword” because it arouses both positive and negative outcomes.

This study aims to explore how transformational leaders enhance public service employees’ growth satisfaction in the job and mitigate job stress and burnout, incorporating follower interpersonal communication satisfaction with the leader (IPCSL) as a mediator.

On the basis of the survey data collected from the Indian public service employees, regression analysis, bootstrapping and SOBEL test are used to test the proposed research model.

The findings highlighted a partial mediation of follower interpersonal communication satisfaction with leader between transformational leadership (TL) and public service employees’ growth satisfaction in the job. Although there was no significant direct effect of TL on job stress and burnout, the results underlined a significant indirect effect of follower IPCSL.

By examining the important role of follower IPCSL, this study unravels the precise intervening mechanism between TL and follower affective outcomes like growth satisfaction in job, job stress and burnout among public service employees.

The purpose of this paper is to extend the study of work-life balance (WLB) by exploring the influence of WLB amongst older workers. Theoretically, this study suggests that the psychological benefits of age on relationships between WLB and well-being might be stronger for those “younger” older workers than those working toward or beyond retirement age. This study tests a moderated mediation model whereby the effects of WLB on anxiety and depression (through job stress) are moderated by age.

Survey data from 512 New Zealand employees in three older age cohorts (55–59 years, 60–64 and 65+ years).

This study finds that WLB reduces job stress and leads to lower anxiety and depression. Job stress positively influences anxiety and depression and partially mediates the influence of WLB. Significant interaction effects are found by age, with the lower age cohort (55–59 years) reporting the strongest benefits from WLB and this effect reduces as employees get older but remains significant.

Even when focusing on older workers, the findings show younger older workers elicit stronger benefits from WLB toward well-being, although all age groups find WLB beneficial.

This paper offers novel insights into the question of whether the importance of WLB for well-being differs among older workers.