Time matters: The role of recovery for daily mood trajectories at work

Author:

Arnold Maike1ORCID,Sonnentag Sabine1ORCID

Affiliation:

1. Department of Psychology University of Mannheim Mannheim Germany

Abstract

AbstractTaking a temporal perspective, we examined how employees' mood (i.e., wakefulness‐tiredness, calmness‐tenseness, and pleasantness‐unpleasantness) develops during the workday and tested employees' daily recovery from work as a predictor of these mood trajectories. Specifically, we analysed a serial mediation model with evening recovery experiences (i.e., psychological detachment, relaxation, mastery experiences, and control) being indirectly related to the development of next‐day mood (i.e., linear slopes) via sleep quality and start‐of‐work mood. We collected data from 124 employees who completed up to 5 daily surveys over two workweeks. Multilevel growth curve models showed that, in general, wakefulness followed a negative quadratic, calmness a positive quadratic, and pleasantness no systematic trajectory during the workday. At the day level, path analyses showed that psychological detachment indirectly and relaxation directly predicted the three start‐of‐work mood states. Moreover, mastery experiences and control directly predicted start‐of‐work calmness. Additionally, psychological detachment and relaxation indirectly predicted the development of wakefulness and psychological detachment, relaxation, and mastery experiences indirectly predicted the development of calmness. Results suggest that some benefits of daily psychological detachment, relaxation (i.e., high start‐of‐work wakefulness and calmness), and mastery experiences (i.e., high start‐of‐work calmness) tend to subside during the workday.

Publisher

Wiley

Subject

Organizational Behavior and Human Resource Management,Applied Psychology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3