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In job ads, employers express demand for personality traits when seeking workers to perform tasks that can be completed with different behaviors (e.g., communication, problem-solving) but not when seeking workers to perform tasks involving narrowly prescribed sets of behaviors such as routine and mathematics tasks. For many tasks, employers appear to demand narrower personality traits than those measured at the Big Five factor level. The job ads also exhibit substantial heterogeneity within occupations in the tasks mentioned. Workers may thus sort based on personality-derived comparative advantages in tasks into jobs rather than occupations. In the National Longitudinal Survey of Youth 1997, we confirm that personality sorting based on tasks occurs at both the occupation and job levels. In this sample, however, there is little evidence of task-specific wage returns to personality traits, which would influence the supply of traits to jobs with particular tasks. This may explain why personality sorting based on tasks in the sample is very limited in spite of the correlations between tasks and employers' demands for traits.

The aim of this study is to examine predictors and mediators of work-related stress among Hong Kong police officers.

Quantitative secondary survey data were used, based on surveys collected from 335 police officers in Hong Kong between May and June in 2020.

It was found that operational stressors were directly and positively related to work-related stress among Hong Kong police officers. The more the operational stressors, the more the work-related stress. It was also found that internal procedural justice had an indirect effect on work-related stress via work engagement among Hong Kong police officers. More internal procedural justice fostered an increased work engagement, causing less work-related stress.

Given that the nature of secondary cross-sectional survey data, causal relationships are difficult to make.

Results from this study contribute to the expansion of the job demands-resources model (the JD-R model). This study used structural equation modelling (SEM) for quantitative secondary survey data analysis, providing a more accurate understanding of this topic. This study provides insights into how to formulate relevant measures to reduce work-related stress in policing occupation.