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The purpose of this paper is to investigate the influence of employees’ trait rumination on the variability of their state rumination and the continuing influence on their negative affect at home.

A time-lagged experience sampling method was used for the data collection from full-time employees in the hotel industry. The hypotheses were tested with multilevel modeling using a random coefficient modeling approach.

Hotel employees who are high in trait rumination generally show high levels of state rumination and greater within-person variability in state rumination over time. Additionally, the negative effects of workplace state rumination can last until employees come home and the next day before going to work. Furthermore, employees who are high in trait rumination are more likely to be influenced by state rumination, as they experience more negative affect after arriving home.

Rumination has been shown to decrease hotel employee overall well-being. The findings of this study provide suggestions for remedial measures that can be taken by hotel organizations to help employees address ruminative thinking.

Drawing on response styles and work/family border theories, this study contributes to the rumination literature by considering both trait rumination and state rumination in a broader context. For a comprehensive understanding of the dynamic temporal characteristics of state rumination, this study considers the net intraindividual variability of state rumination as the outcome of trait rumination.

This study retrospectively investigates the parenting experiences of mothers of two-year-old children who expressed concerns that their child may have autism up to when they were 4.5 years old. This study aims to identify early parenting challenges and joys and explore whether certain challenges are associated with a subsequent autism diagnosis.

Using a longitudinal design, this study draws from a cohort of 6,853 children, focusing on 103 mothers who reported concerns that their child may have autism when they were between 2 and 4.5 years old, compared to a demographically matched control group. It also tracks whether children initially flagged for autism concerns at 2 to 4.5 years had received a formal diagnosis by age eight.

Mothers of autistic children were more likely to mention early challenges with their child’s psychosocial development and family cohesion. However, the nature of the challenges discussed within these categories were similar across the two groups, suggesting that these two challenges, while important, are not definitive indicators of autism on their own. Many mothers highlighted their love and joy in watching their child develop. By age eight, 56% of the children who were flagged with autism concerns at aged 4.5 had an autism diagnosis, underscoring the importance of early concerns.

This novel research leverages a large, diverse longitudinal cohort to retrospectively explore mothers’ views on raising two-year-old children who were subsequently recognised as being autistic. It uniquely balances the exploration of parenting challenges with the highlights, offering a more holistic view of parenting a child who may later be diagnosed with autism, and considers the link between early parental concerns and challenges and subsequent autism diagnosis.

The purpose of this study is to assess factors related to sorority women connecting with people who exacerbate feelings of exercise guilt and body dissatisfaction (BD), both of which preclude compulsive exercise.

In all, 207 sorority women (egos) completed online surveys measuring physical activity, BD, compulsive exercise and egocentric networks (n = 1,105 social ties/alters). Two random coefficient multilevel models assessed factors related to an ego connecting to someone who makes her feel: guilty about her exercise habits and good about her looks.

Exercise patterns within networks related to how often an alter made ego feel guilty about her exercise habits; alter gender and communication frequency related to how often an alter made ego feel good about her looks; and ego’s BD score was related to both feelings of guilt and body satisfaction.

The findings of this study support and extend literature highlighting the importance of someone’s immediate social network on their body image and related behaviors.

Police stress is a critical concern for public safety agencies. This study proposes a research model to examine the relationship between police operational stress and affective commitment, mediated by psychological safety.

A survey was developed and administered to law enforcement professionals from two large police agencies in a Midwestern US state and Rio de Janeiro state, Brazil.

The results suggest the research model applies similarly in both countries. A significant relationship between police operational stress and lower affective commitment was found. Psychological safety mediated this effect, suggesting its importance in mitigating stress. The focus on psychological safety offers valuable insights for understanding officer well-being in high-stress environments.

Qualitative methods might be used to help better understand the contextual elements around police stress and its consequences. Results indicate that supportive work environments that foster psychological safety can be a powerful tool to buffer the negative effects of stress and promote officer well-being and retention.

A comprehensive understanding of the psychological factors influencing officer morale and engagement is essential for developing interventions to enhance law enforcement effectiveness. Psychological safety helps create a supportive work environment, reducing stress’s negative impact on officer commitment.

This study makes a distinctive contribution by examining the mediating role of psychological safety in the relationship between operational stress and affective commitment among police officers in two countries. Building upon prior research that has examined the impact of stress and psychological safety, this study is among the first to investigate how psychological safety specifically mitigates the negative impact of stress on officer commitment.

The purpose of this paper is to understand how those involved in executive pay determination in large publicly quoted UK businesses see the role of diversity within remuneration committees (Remcos) as enabling the input of different perspectives, which can enhance their decision-making and potentially improve pay outcomes.

Qualitative, semi-structured interviews were undertaken with 18 high-profile major-enterprise decision-makers and their advisers, i.e. non-executive directors (NEDs) serving Remcos, institutional investors, executive pay consultants and internal human resources (HR) reward specialists, together with data from three focus groups with 10 further reward management practitioners.

Remco members recognise the benefits of social category/demographic diversity but say the likelihood of increasing this is low, given talent pipeline issues. The widening of value diversity is considered problematic for Remcos’ functioning. Informational diversity is used as a proxy for social category/demographic diversity to improve Remcos’ decision-making on executive pay. While the inclusion of members from wider social networks is recognised as potentially bringing a different informational perspective, the social character of Remcos, reflecting their elite nature and experience of wealth, appears ingrained.

Our original contribution is to extend the application of upper echelons theory in the context of Remco decision-making to explain why members do not welcome widening informational diversity by appointing people from different social networks who lack value similarity. Instead, by drawing views from employees, HR acts as a proxy for social network informational diversity. The elite, upper-echelons nature of Remco appointments remains unchanged and team functioning is not disrupted.

The COVID-19 pandemic and associated restrictions created a range of potential additional stressors for families, particularly for parents living with children. This study aims to explore whether there were any differences in the mental health and emotional experiences of those living with children, and those who were not, during the pandemic and related lockdowns; and whether there were any specific risk factors associated with these mental health outcomes and emotional experiences.

Regression analyses of ten-wave repeated cross-sectional surveys between May 2020 and November 2021 on a total sample of 42,529 UK adults, which measured mental health with a range of pleasant and unpleasant emotional experiences. The interaction effects of living with children and age as well as marital status were tested.

During the pandemic, individuals who were living with children were more likely to feel hopeful (OR: 1.1) and grateful (OR: 1.163), less likely to feel hopeless (OR: 0.918) and lonely (OR: 0.799), while more likely to feel guilty (OR: 1.185), unprepared (OR: 1.195) and pressurised (OR: 1.14), than those not living with children. More nuanced findings and diverse emotional experiences were also found in people of different age groups and marital statuses.

This study has highlighted that being parents and living with children could be important factors of emotional distress, especially during the special circumstances of the pandemic and lockdowns, drawing on the large-scale national data.

Perceived job alternatives (PJAs) play a central role in most theoretical models of employee turnover. However, the state of the empirical literature remains confused. The present study brings clarity to the literature via a meta-analytic review, delineating the key theoretical and empirical differences between perceived alternative availability (PAA) and perceived alternative quality (PAQ).

Using meta-analysis, we estimate correlations for PAA and PAQ and turnover behavior, as well as with each other, allowing us to examine their joint and unique predictive validity.

Although PAA (r = 0.15) and PAQ (r = 0.22) exhibited somewhat similar correlations with turnover, relative weight analysis revealed that the effect of PJA on turnover was nearly three times stronger for PAQ than for PAA.

Our work is the first systematic attempt to disentangle the relative contributions of alternative availability versus alternative quality in predicting turnover, offering implications for theory, empirical research and practice.

This study aims to investigate the work experience of women in hospitality with the job demands-resources (JD-R) theory. By focusing on job resources, job demands (emotional and physical), work engagement, emotional exhaustion and turnover intention, this study examines (1) female workers’ perceptions of these variables; (2) how race, age and job positions affect perceptions and (3) structural relationships among these variables.

The study collected 412 responses from American female hospitality workers via an online survey. Descriptive statistics and independent T-tests were conducted using SPSS to analyze professional experiences and differences based on individual characteristics. Path analysis was conducted using Amos 28 to assess the structural relationships among variables.

Female hospitality workers generally feel engaged, experience low emotional exhaustion and have low turnover intention. Younger or front-line women reported higher emotional exhaustion, lower engagement and greater likelihood to quit. Unexpectedly, emotional resources do not significantly affect work engagement, but physical resources increase it.

The study provides directions to establish specific well-being and organizational support initiatives to retain female hospitality workers.

This study offers fresh insights into the JD-R theory by examining the experiences of American female hospitality employees using a non-comparative lens. Although existing literature highlights women’s unfavorable positions relative to male counterparts, this study reveals rather positive perspectives. Additionally, it presents a dual psychological process of how job resources and demands affect women’s work experience and the varying impacts of job demands on work engagement.

Compared to traditional (domestic) e-commerce consumers, cross-border electronic commerce (CBEC) consumers may face greater information asymmetry in the CBEC purchase process. Given this background, however, the literature has paid limited attention to the informational antecedents that influence consumers' perceptions of transaction costs and their CBEC purchase intentions. To fill this gap, this study integrates the elaboration likelihood model (ELM) and transaction cost theory (TCT) to develop a model for exploring how product (website informativeness, product diagnosticity and website interactivity as the central route) and external (country brand, website policy and vendor reputation as the peripheral route) informational antecedents affect consumers’ evaluations of transaction costs in terms of uncertainty and asset specificity and their CBEC purchase intentions.

This study employs a survey approach to validate the model with 766 Generation Z CBEC consumers based on judgment sampling. The partial least squares (PLS) technique is adopted for data analysis.

The results show that all the proposed central and peripheral informational antecedents reduce consumers’ perceptions of uncertainty and asset specificity, which in turn negatively influences their CBEC purchase intentions.

Through this investigation, this study increases our understanding of how product and external informational antecedents affect consumers’ evaluations of transaction costs, which subsequently determine their CBEC purchase decisions. This study offers theoretical contributions to existing CBEC research and has practical implications for CBEC organizations and managers.

This study describes a short-term project designed for students to develop important skills needed for artificial intelligence (AI) literacy and to understand how the concepts of AI literacy may be viewed in different countries.

This mixed-methods study sets out to investigate students’ perceptions on the use of AI-generated communication in the workplace, particularly the use of ChatGPT for business communication. We discuss student responses to questions regarding AI-generated business communication according to the diamond model of AI literacy.

This study’s findings reflect students’ awareness of the use of AI at their workplace, their perceptions of the benefits and challenges of AI-generated business communication, as well as their perceived need for institutionalizing policies at their respective companies. The study reports on potential differences in cultural attitudes regarding generative AI.

This study involved a project with a limited sample. It involved students in the United States of America, Germany and India and was replicated. Despite the sample size, we feel it has relevance for underlining opportunities for AI literacy skills in higher education (HE) institutions, especially in terms of heightening awareness of cultural appropriateness, sensitivity towards data privacy needs and developing students' intercultural communication skills.

The following study addresses the need for institutions of HE to develop students’ AI literacy, including how concepts of AI literacy may be viewed differently and how AI-generated business communication must be adapted to suit diverse environments. The study encourages instructors to incorporate AI tools in their curricula by illustrating one best use-case for developing students’ abilities to utilize this technology for professional business communication.