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The purpose of this paper is two-fold: first, to demonstrate that learning occurs as a collective process in addition to traditional individual learning and second, to identify its antecedents and consequences at the team level.

Data were gathered using questionnaires answered by 356 participants organized in 90 teams. Quantitative analytic strategies were applied to verify if individual answers of team members were similar enough to compound team scores and to measure the predictive power of the proposed model.

Results showed that team learning is a collective phenomenon: intra-team differences were small and differences between teams were significant. Additional results demonstrated that team learning is predicted by team potency (34%) and, at the group level, explains 5% of the team’s satisfaction.

The findings of the present research suggest that organizational managers can improve the results of teams by supporting the development of social processes such as potency and learning.

Learning in organizations has received close attention in recent years. However, publications are focusing mostly on the individual learning that occurs in teams and organizations. The main contribution of this paper is to demonstrate what characterizes team learning as a collective process and which relations it maintains with other team processes.

We test a multilevel exploratory predictive model, examining the relationships between emotional labor (EL) and workers' affectivity traits at a philanthropic hospital, where EL involves a process of emotional regulation at work involving emotional display rules, regulatory strategies, and emotional performance. Specifically, we test a model of the mediation effects of regulatory strategies and the moderation effects of emotional demands.

Participants were 306 workers from 45 different units of a hospital institution, whose performance was evaluated by 30 supervisors. Since workers' emotional display rules could not be represented as shared, unit-level beliefs, we chose two critical demands to test our hypotheses: (1) demand to express compassion and (2) demand to conceal anger or disapproval.

Using multilevel analysis, we found evidence that deep acting mediates between emotional demands to express compassion and emotional performance. We found further that demands to conceal anger toward coworkers increase the strength of the relationship between negative affectivity and surface acting.

Theoretical and practical implications of the study are also discussed.

In this introductory chapter, we establish the basis for the theme of this volume, “Emotions and Disruption.” We discuss how the initial idea for the theme arose during the height of COVID-19. At this time, and as widely reported in the press (e.g., see Grensing-Pophal, 2020), a myriad of workplace disruptions occurred impacting employees' moods and emotions and their subsequent well-being and performance. We open by discussing some key work on emotions research during change and disturbance, followed by a synopsis of each of the chapters in this volume, including discussion of their key contributions. This includes an overview of how some of these chapters were first presented as conference papers at the Twelfth International Conference on Emotions and Worklife (EMONET XII), an event that took place for the first time online in response to the turbulence and travel disruptions created by the pandemic.

In this chapter we give an outline of the organization of this book and discuss its four major parts. We then relate each chapter to the relevant part and consider its key contributions in terms of what we have learnt about emotions when applying the lens of disruption.

We conclude that the chapters provide a range of insights and practical solutions for dealing with emotions during different types of disruption that should be helpful to practitioners and academics.

The chapters investigate underresearched topics and thus make new and important contributions. While many topics addressed in the chapters are still in their initial stages, they clearly have the potential to make a significant impact on people's work lives.