A diary study on shared leadership, team work engagement, and goal attainment

Klasmeier, KN (通讯作者),Fed Inst Occupat Safety & Hlth, Friedrich Henkel Weg 1-25, D-44149 Dortmund, Germany.
2022-3
Theory of shared leadership has suggested that this informal source of team leadership is highly dynamic and changes over time. We draw on this assumption and provide new insights about the nature of short-term changes in shared leadership. Additionally, we advance the nomological network of shared leadership by examining the within-team relations of day-level shared leadership with cohesion, team work engagement, and goal attainment. To study these dynamics and short-term relationships, we conducted a daily-diary study. We collected daily measures from 53 teams with 187 team members resulting in 725 person-days and 207 team-days. Bayesian multilevel modelling supported our hypotheses as daily shared leadership was linked to daily cohesion, team work engagement, and goal attainment. The findings contribute to the understanding of within-team associations of shared leadership and add to the understanding about the dynamic nature of this team state. Limitations and directions for further research are then discussed. Practitioner points Team's daily shared leadership behaviour is related to day-level team work engagement. Teams can improve their day-level collaboration by engaging in shared leadership. Daily shared leadership facilitates daily progress in attaining team goals.
JOURNAL OF OCCUPATIONAL AND ORGANIZATIONAL PSYCHOLOGY
卷号:95|期号:1|页码:36-59
ISSN:0963-1798|收录类别:SSCI
语种
英语
来源机构
Dortmund University of Technology
资助机构
Projekt DEAL
资助信息
The authors would like to thank Astrid Emmerich, Birgit Thomson, Jana Furchtenicht, and Joachim Huffmeier for providing feedback on earlier drafts of this article. Open access funding enabled and organized by ProjektDEAL.
被引频次(WOS)
3
被引频次(其他)
3
180天使用计数
14
2013以来使用计数
71
EISSN
2044-8325
出版年
2022-3
DOI
10.1111/joop.12371
学科领域
循证管理学
关键词
shared leadership team work engagement daily-diary study multilevel modelling Bayesian analysis
WOS学科分类
Psychology, Applied Management