Hospitality workers' COVID-19 risk perception and depression: A contingent model based on transactional theory of stress model.

The hospitality industry worldwide is suffering under the COVID-19 pandemic. Drawing on the transactional theory of stress and coping, this study aims to investigate when hospitality workers' COVID-19 risk perception affects their likelihood of having depressive symptoms. Using data from 211 hospitality workers in 76 hotels in Peru, we examined the effects of perceived COVID-19 risk on the likelihood of experiencing depressive symptoms. We posited that this relationship is moderated by the workers' environment at work (job satisfaction) and at home (the number of children). The results indicate that job satisfaction weakens the link between hospitality workers' COVID-19 risk perception and their likelihood of depressive symptoms while the number of children exacerbates this link. We discuss the implications of our findings for research on COVID-19 risk perception and offer practical implications for hospitality workers under COVID-19 crisis.

Unraveling the daily stress crossover between unemployed individuals and their employed spouses.

This study examined the dynamic relationship of distress levels between spouses when one is unemployed (and looking for a job) while the other is engaged in full-time employment. Using the diary survey method, we sampled 100 couples in China for 10 days and tested a model comprising three stress crossover mechanisms: the direct crossover, the mediating crossover, and the common stressor mechanisms. Results supported the direct crossover and common stressor mechanisms. Other stressors (e.g., work­family conflict and negative job search experience) were also related to distress of the unemployed individuals and their employed spouses. Additionally, we found a three-way interaction involving gender, marital satisfaction, and distress levels of employed spouses. We discuss how the study contributes to the unemployment and stress crossover literatures.

How do feelings influence effort? An empirical study of entrepreneurs' affect and venture effort.

How do feelings influence the effort of entrepreneurs? To obtain data on this issue, the authors implemented experience sampling methodology in which 46 entrepreneurs used cell phones to provide reports on their affect, future temporal focus, and venture effort twice daily for 24 days. Drawing on the affect-as-information theory, the study found that entrepreneurs' negative affect directly predicts entrepreneurs' effort toward tasks that are required immediately. Results were consistent for within-day and next-day time lags. Extending the theory, the study found that positive affect predicts venture effort beyond what is immediately required and that this relationship is mediated by future temporal focus. The mediating effects were significant only for next-day outcomes. Implications of findings on the nature of the affect-effort relationship for different time lags are discussed.

Mood spillover and crossover among dual-earner couples: a cell phone event sampling study.

In this study, the authors examined affective experiences of dual-earner couples. More specifically, the authors explored how momentary moods can spill over between work and family and cross over from one spouse to another. Fifty couples used their cell phones to provide reports of their momentary moods over 8 consecutive days. Results show significant spillover and crossover effects for both positive and negative moods. Work orientation moderated negative mood spillover from work to home, and the presence of children in the family decreased negative mood crossover between spouses. Crossover was observed when spouses were physically together and when the time interval between the spouses' reports was short. With this study, the authors contribute to the work and family research by examining the nature of mood transfers among dual-earner couples, including the direction, valence, and moderators of these transfers across work and family domains. The authors also contribute to the event sampling methodology by introducing a new method of using cell phones to collect momentary data.