Work stress, work-related thoughts, neuroticism, detachment and their influence on well-being and performance: The diary study (Poster)

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Authors

PROCHÁZKA Jakub HOUBOVÁ Barbora MÜHLBECKOVÁ Zuzana JEŽEK Stanislav VACULÍK Martin

Year of publication 2019
Type Appeared in Conference without Proceedings
MU Faculty or unit

Faculty of Social Studies

Citation
Description Purpose. The poster introduces the first Czech diary study in the field of I/O Psychology. It focuses on work stress, subsequent psychological detachment from work in the leisure time and their effect on well-being and perceived work performance. The study also considers the influence of personality characteristics and negative/positive work-related thoughts, and tests their role as moderators and mediators of the above-mentioned relationships. Design. 225 employees from various Czech companies filled out short on-line questionnaires twice a day for five consecutive workdays. Results. The preliminary results showed that neuroticism and agreeableness moderated the effect of occupational stress on well-being and perceived work performance. Detachment from work had positive effect on next morning well-being of people with medium to high degree of neuroticism. The effect of psychological detachment on work performance and the moderation effect of positive/negative work-related thoughts were not found as well as the direct effect of positive thoughts on well-being. However, the results indicated that negative thoughts mediate negative effect of neuroticism on well-being. Limitations. All variables were measured by self-reports. The diary study provides only limited evidence on causality of relationships between measured variables. Implications. Detachment is not universal mechanism how to cope with the work-related stress. It helps mostly the employees with high level of neuroticism. Originality/Value. This study is the first to analyze the effect of detachment in context of personality, work stress and performance. The design allowed thinking about causality through analyzing the influence of day-level variability of independent variables.
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