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The existing literature on emotion regulation strategies provides important insights with regards to intrapersonal strategies for emotion regulation. However, in pointing out the limitations of intrapersonal emotion regulation models, it has been suggested that emotion regulation is not confined to intrapersonal processes and the complex social networks that humans form are intricately connected to their emotions. The previous work on financial traders has recognized the relevance of emotions in trading, focusing only on intrapersonal emotion regulation strategies. In this chapter, drawing on the author’s previous research on emotions in trading as well as existing research on social sharing of emotions and interpersonal emotion regulation, interpersonal emotion regulation strategies in the work of financial traders are identified. In doing so, an existing definition of interpersonal emotion regulation is extended and it is argued that while the pursuit of a regulatory goal is paramount, the benefits of interpersonal regulation may be achieved even in the absence of live social interaction, as long as labeling of the affective state takes place. The chapter concludes with a model summarizing intra–interpersonal emotion regulation processes.

Research in industrial and organizational psychology demonstrates that the regulation of negative emotions in response to both organizational stressors and interpersonal workplace interactions can result in functional and dysfunctional outcomes (Côté, 2005; Diefendorff, Richard, & Yang, 2008). Research on the regulation of negative emotions has additionally been conducted in social psychology, developmental psychology, neuropsychology, health psychology, and clinical psychology. A close reading of this broader literature, however, reveals that the conceptualization and use of the term “emotion regulation” varies within each research field as well as across these fields. The main focus of our chapter is to make sense of the term “emotion regulation” in the workplace by considering its use across a broad range of psychology disciplines. We then develop an overarching theoretical framework using disambiguating terminology to highlight what we argue are the important constructs involved in the process of intrapersonal emotion generation, emotional experience regulation, and emotional expression regulation in the workplace (e.g., emotional intelligence, emotion regulation strategies, emotion expression displays). We anticipate this chapter will enable researchers and industrial and organizational psychologists to identify the conditions under which functional regulation outcomes are more likely to occur and then build interventions around these findings.

Scholars and practitioners in the OB literature nowadays appreciate that emotions and emotional regulation constitute an inseparable part of work life, but the HRM literature has lagged in addressing the emotional dimensions of life at work. In this chapter therefore, beginning with a multi-level perspective taken from the OB literature, we introduce the roles played by emotions and emotional regulation in the workplace and discuss their implications for HRM. We do so by considering five levels of analysis: (1) within-person temporal variations, (2) between persons (individual differences), (3) interpersonal processes; (4) groups and teams, and (5) the organization as a whole. We focus especially on processes of emotional regulation in both self and others, including discussion of emotional labor and emotional intelligence. In the opening sections of the chapter, we discuss the nature of emotions and emotional regulation from an OB perspective by introducing the five-level model, and explaining in particular how emotions and emotional regulation play a role at each of the levels. We then apply these ideas to four major domains of concern to HR managers: (1) recruitment, selection, and socialization; (2) performance management; (3) training and development; and (4) compensation and benefits. In concluding, we stress the interconnectedness of emotions and emotional regulation across the five levels of the model, arguing that emotions and emotional regulation at each level can influence effects at other levels, ultimately culminating in the organization’s affective climate.

This paper aims to develop a comprehensive model on intra- and interpersonal emotion regulation (ER) in hospitality and tourism (H&T) service encounters.

A critical review and reflection of ER research from multiple disciplines was conducted. Methodologies appropriate for investigating ER were also reviewed.

A comprehensive framework was proposed to outline key influential factors, processes and consequences of intra- and interpersonal ER in service encounters in the H&T industry. Methodologies integrating advanced tools were suggested to measure complex and dynamic emotion generation and regulation processes in social interactions from a multimodal perspective.

The researchers developed a comprehensive conceptual model on both intra- and interpersonal ER based on a critical review of the most recent psychological research on ER. Various theoretical and methodological considerations are discussed, offering H&T scholars a solid starting point to explore dynamic emotion generation and regulation processes in complex social settings. Moreover, the model provides future directions for the expansion of ER theories, which have been mostly developed and tested based on laboratory research.

The proposed model addresses two critical issues identified in emotion research in the H&T field: the lack of a dynamic perspective and the neglect of the social nature of emotions. Moreover, the model provides a roadmap for future research.

This study aims to explore whether and how workplace loneliness leads to cyberloafing and the role of leader problem-focused interpersonal emotion management in buffering this relationship.

Drawing on ego depletion theory, the authors propose that employees' workplace loneliness leads to cyberloafing via ego depletion, while leader interpersonal emotion management (i.e. leadership behavior targeted at managing employees' negative emotions) can help to alleviate the situation. To test this study’s predictions, the authors collected multisource data at three time points from a sample of 219 employee–colleague dyads.

The results show that workplace loneliness is positively related to cyberloafing and that ego depletion mediates this relationship. Leader problem-focused interpersonal emotion management weakens the relationship between workplace loneliness and ego depletion and the indirect relationship between workplace loneliness and cyberloafing via ego depletion such that the above relationships are weak (versus strong) when leader problem-focused interpersonal emotion management is high (versus low).

The study results suggest that workplace loneliness is an important hidden danger that leads to cyberloafing because lonely employees suffer more from ego depletion. Leaders' interpersonal emotion management strategy serves as a potential buffer for such a negative effect.

Organizational behavior scholars have long recognized the importance of a variety of emotion-related phenomena in everyday work life. Indeed, after three decades, the span of research on emotions in the workplace encompasses a wide variety of affective variables such as emotional climate, emotional labor, emotion regulation, positive and negative affect, empathy, and more recently, specific emotions. Emotions operate in complex ways across multiple levels of analysis (i.e., within-person, between-person, interpersonal, group, and organizational) to exert influence on work behavior and outcomes, but their linkages to human resource management (HRM) policies and practices have not always been explicit or well understood. This chapter offers a review and integration of the bourgeoning research on discrete positive and negative emotions, offering insights about why these emotions are relevant to HRM policies and practices. We review some of the dominant theories that have emerged out of functionalist perspectives on emotions, connecting these to a strategic HRM framework. We then define and describe four discrete positive and negative emotions (fear, pride, guilt, and interest) highlighting how they relate to five HRM practices: (1) selection, (2) training/learning, (3) performance management, (4) incentives/rewards, and (5) employee voice. Following this, we discuss the emotion perception and regulation implications of these and other discrete emotions for leaders and HRM managers. We conclude with some challenges associated with understanding discrete emotions in organizations as well as some opportunities and future directions for improving our appreciation and understanding of the role of discrete emotional experiences in HRM.

This chapter takes a new approach to emotions through the lens of a relational identity among hybrid professionals, using those in healthcare as particularly relevant examples. Sharpening the focus on underpinning emotional dynamics may further explain how professional managers can be effective in hybrid roles. The chapter seeks to build on the internal emotional states of these professional managers by understanding how outward emotional displays might influence their subordinates. The understanding of how emotional states/displays in manager–employee relationships influence target behaviors may help multiprofessional organizations generate better-informed leadership practice in relation to desired organizational outcomes, e.g. more efficient and effective health services.

By integrating the conservation of resources and the emotion-as-social-information theories, this study aims to question whether the leader’s effort to calm down when team members perceive intra-team conflict (ITC) may have a counterproductive effect on their interpersonal functioning. Specifically, the authors investigated whether team members with higher individual perceptions of ITC would be more likely to experience interpersonal strain (ISW) when their team leaders downregulate or suppress their emotional responses (i.e. high interpersonal modulation of emotional responses [MER]). A further objective of the study was to examine whether this exacerbating effect would be conditional on the leader’s sex.

Data were collected from 236 white collars nested in 48 teams (Msize = 6.23; SDsize = 2.69) and their respective team leaders (56.7% men) of a large organization providing financial services.

Multilevel model results showed that team members confronted with higher ITC experienced higher ISW levels, especially when the leader’s interpersonal modulation of team members’ emotional responses was high (vs low). This effect was stronger when the interpersonal modulation was enacted by women (vs men) team leaders.

This study moves an important step forward in the conflict and ISW literature, as it is the first to identify a leader’s MER and sex as key boundary conditions under which ITC is related to team members’ ISW. The implications of these findings for theory and practice are discussed.

With the advent of increasingly sophisticated AI, the nature of work in the service frontline is changing. The next frontier is to go beyond replacing routine tasks and augmenting service employees with AI. The purpose of this paper is to investigate whether service employees augmented with AI-based emotion recognition software are more effective in interpersonal emotion regulation (IER) and whether and how IER impacts their own affective well-being.

For the underlying study, an AI-based emotion recognition software was developed in order to assist service employees in managing customer emotions. A field study based on 2,459 call center service interactions assessed the effectiveness of the AI in augmenting service employees for IER and the immediate downstream consequences for well-being relevant outcomes.

Augmenting service employees with AI significantly improved their IER activities. Employees in the AI (vs control) condition were significantly more effective in regulating customer emotions. IER goal attainment, in turn, mediated the effect on employee affective well-being. Perceived stress related to exposure to the AI augmentation acted as a competing mediator.

Service firms can benefit from state-of-the-art AI technology by focusing on its capacity to augment rather than merely replacing employees. Furthermore, signaling IER goal attainment with the help of technology may provide uplifting consequences for service employee affective well-being.

The present study is among the first to empirically test the introduction of an AI-fueled technology to augment service employees in handling customer emotions. This paper further complements the literature by investigating IER in a real-life setting and by uncovering goal attainment as a new mechanism underlying the effect of IER on the well-being of the sender.

We develop a multilevel model of emotional processes grounded in social identity theory to explore the role of emotion in transformational leadership.

This work is conceptual in nature and develops theory surrounding emotion in organizations by integrating theories on transformational leadership, emotion management, and organizational identity.

Transformational leaders utilize interpersonal emotion management strategies to influence and respond to emotions arising from the self-evaluative processes of organizational members during times of organizational identity change.

The conceptual model detailed provides insight on the intersubjective emotional processes grounded in social identity that influence transformational leadership. Future research into transformational leadership behaviors will benefit from a multilevel perspective which includes both interpersonal emotion management and intrapersonal emotion generation related to social identity at both the within-person and between-person levels.

The proposed model expands on the role of emotions in transformational leadership by theoretically linking the specific transformational behaviors to discrete emotions displayed by followers. While previous empirical research has indicated the positive outcomes of transformational leadership and the role of emotion recognition, work has yet to be presented which explicates the role of discrete emotions in the transformational leadership process.