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This study aims to examine the individual and contextual predictors of managerial attitudes toward employees with chronic depression (EwCD) in the hospitality and tourism field, the relationship between managerial attitudes toward EwCD and levels of organizational citizenship behavior, and the mediating role of personality in this relationship.

Empirical data were collected through an online survey of 305 managers working in the hospitality and tourism industry in the USA. SmartPLS 3 software was used to conduct a partial least squares-structural equation modeling analysis.

Organizational and individual characteristics of managers, such as pressure to be productive in the workplace, previous experience with depression, levels of anxiety and personality characteristics, are strong predictors of attitudes toward employees with depression. Personality mediates the effect of managers’ attitudes toward organizational citizenship behavior.

The study provided support that managers who have experienced depression are more understanding of the needs of EwCD and, consequently, can reduce related stigma in the workplace. Likewise, open and agreeable managers who do not feel the constant pressure to showcase high performance and who score low on anxiety and high on organizational citizenship behavior can create a safe working environment free from prejudice and discrimination toward EwCD.

Examining depression in the hospitality and tourism industry becomes even more critical as mental health issues are increasing in the workplace. This research contributes to the hospitality and tourism literature, which seldom investigates managerial perspectives of mental illness and sheds light on the desirable managerial personality traits necessary for creating an inclusive workplace.

In response to growing concerns over the negative consequences of Internet addiction on adolescents’ mental health, coupled with conflicting results in this literature stream, this meta-analysis sought to (1) examine the association between Internet addiction and depressive symptoms in adolescents, (2) examine the moderating role of Internet freedom across countries, and (3) examine the mediating role of excessive daytime sleepiness.

In total, 52 studies were analyzed using robust variance estimation and meta-analytic structural equation modeling.

There was a significant and moderate association between Internet addiction and depressive symptoms. Furthermore, Internet freedom did not explain heterogeneity in this literature stream before and after controlling for study quality and the percentage of female participants. In support of the displacement hypothesis, this study found that Internet addiction contributes to depressive symptoms through excessive daytime sleepiness (proportion mediated = 17.48%). As the evidence suggests, excessive daytime sleepiness displaces a host of activities beneficial for maintaining mental health. The results were subjected to a battery of robustness checks and the conclusions remain unchanged.

The results underscore the negative consequences of Internet addiction in adolescents. Addressing this issue would involve interventions that promote sleep hygiene and greater offline engagement with peers to alleviate depressive symptoms.

This study utilizes robust meta-analytic techniques to provide the most comprehensive examination of the association between Internet addiction and depressive symptoms in adolescents. The implications intersect with the shared interests of social scientists, health practitioners, and policy makers.

Firefighters are daily confronted with adverse, unpredictable and demanding situations. It is a dangerous profession that puts firefighters at risk of developing burnout. Although the literature has already identified personal and work-related factors of burnout, the examination of specific factors explaining burnout among volunteer and career firefighters is still needed. The purpose of this study is to investigate the explaining role of personal and work-related factors on volunteer and career firefighters’ burnout.

A nonrandom convenience sample of 250 firefighters (67% volunteer; M_age = 31.88) completed a sociodemographic questionnaire, the Oldenburg Burnout Inventory, the Proactive Coping Scale and a standard of living subscale item. Hierarchical multiple linear regression models were tested. Fisher’s criterion was considered, with p-values lower than 0.05 interpreted as statistically significant.

Personal and work-related factors accounted for 18% of volunteer and 31% of career firefighters’ variations in burnout. Personal factors offered a greater contribution explaining volunteer and career firefighters’ burnout. Still, variations in the role played by age, family responsibilities, proactive coping and satisfaction with standard of living on burnout were found among volunteer and career firefighters. Taking the work-related factors into account, working in rotative shifts constituted a risk factor for career firefighters’ burnout.

This study advances the understanding about the role of personal and work-related factors in volunteer and career firefighters’ burnout.

This study adds information about specific factors explaining burnout among voluntary and career firefighters. It deepens existing knowledge on variations in the role played by age, family responsibilities, work conditions, proactive coping and satisfaction with standard of living on the burnout of volunteer and career firefighters.

Despite its devastating nature, the COVID-19 pandemic has also catalyzed a substantial surge in the adoption and integration of technological tools within economies, exerting a profound influence on the dissemination of information among participants in stock markets. Consequently, this present study delves into the ramifications of post-pandemic dynamics on stock market behavior. It also examines the relationship between investors' sentiments, underlying behavioral drivers and their collective impact on global stock markets.

Drawing upon data spanning from 2012 to 2023 and encompassing major world indices classified by Morgan Stanley Capital International’s (MSCI) market and regional taxonomy, this study employs a threshold regression model. This model effectively distinguishes the thresholds within these influential factors. To evaluate the statistical significance of variances across these thresholds, a Wald coefficient analysis was applied.

The empirical results highlighted the substantive role that investors' sentiments and behavioral determinants play in shaping the predictability of returns on a global scale. However, their influence on developed economies and the continents of America appears comparatively lower compared with the Asia–Pacific markets. Similarly, the regions characterized by a more pronounced influence of behavioral factors seem to reduce their reliance on these factors in the post-pandemic landscape and vice versa. Interestingly, the post COVID-19 technological advancements also appear to exert a lesser impact on developed nations.

This study pioneers the investigation of these contextual dissimilarities, thereby charting new avenues for subsequent research studies. These insights shed valuable light on the contextualized nexus between technology, societal dynamics, behavioral biases and their collective impact on stock markets. Furthermore, the study's revelations offer a unique vantage point for addressing market inefficiencies by pinpointing the pivotal factors driving such behavioral patterns.