Solving problems or seeing troubles? A day-level study on the consequences of thinking about work on recovery and well-being,and the moderating role of self-regulation

This study examined, using a within-person design, how fluctuations in work-related affective rumination and problem-solving pondering are related to recovery and well-being (N = 171; 677 day-level data points over five consecutive work days). We hypothesized that trait self-regulation moderates the relationship between problem-solving during the evening and the state of being recovered at bedtime. We analyzed our data using a moderated multilevel mediation approach. The results showed that affective rumination during the evening was indirectly related to impaired well-being in the subsequent morning through its negative relationship with the state of being recovered at bedtime. Problem-solving was indirectly related to well-being in the subsequent morning through its relationship with the state of being recovered at bedtime. However, this indirect effect was moderated by trait self-regulation in a way that problem-solving pondering was positively related to the state of being recovered, and consequently, to improved well-being for employees higher in self-regulation, whereas it was negatively related to the state of being recovered, and consequently, to impaired well-being for those lower in self-regulation. These findings suggest that problem-solving pondering may be beneficial or unfavorable for recovery and well-being depending on the degree to which employees can regulate their cognitions and feelings.     

A temporal common ground for learning: The moderating effect of shared mental models on the relation between team learning behaviours and performance improvement

In this longitudinal study, we integrated a team process and a learning curve perspective on team learning and empirically analysed whether team learning processes lead to performance improvement. In addition, we tested whether this relation is moderated by the similarity of team members’ task, team, and temporal mental models. We tested our model on a sample of 67 teams (314 individuals) competing in a management simulation over five consecutive time periods, using random coefficient modelling (RCM). Our findings suggest that team learning behaviours do not have a direct effect on the team learning curve, but temporal and task mental models are crucial for the translation of team learning behaviours into performance improvement. We found that when teams have similar task and temporal mental models, engaging in team learning processes is beneficial, whereas, when teams have dissimilar task and temporal mental models, it is detrimental to performance improvement. We did not find a significant effect for the moderating role of team mental model similarity. Our study emphasizes the importance of integrating different perspectives on team learning and provides support for the role of team cognition as a catalyst for team learning.     

Dynamics of team cognition and team adaptation: Introduction to the special issue

Although cognitions are known to play a major role in team adaptation, the cognitive dynamics underlying a team’s responsiveness are poorly understood. The studies brought together in this special issue break new ground in this area. In this introductory article, we offer a brief summary of the research field, provide an overview of the contributions, and suggest directions for future research.