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This chapter introduces a new theoretical framework for developing emotion-related abilities according to the emotional intelligence (EI) construct definition of Mayer, Salovey, and Caruso (2006). The awareness, reflection, and management (ARM) model has been devised and demonstrates a triadic cycle of emotional ARM relating to affect, cognition, and behavior. The ARM model constitutes an approach to nurture emotion-related abilities (ability EI) and responds to criticism raised by Zeidner, Matthews, and Roberts (2009). The ARM Theory was corroborated by both learning theory and schools of counselling (SOC). The potential to develop emotion-related abilities in emotional awareness, reflection and reasoning, coping and management is discussed.

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.

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.

Emotion and emotion-related concepts are interspersed throughout theories of charismatic and transformational leadership. Existing research in this area articulates expected relationships of global emotion constructs such as emotional intelligence, positive affect, and negative affect to leadership. However, there has been little attention to the potential roles of more specific emotions. This chapter describes some of the existing theoretical and empirical research on leadership and emotion, and proposes a framework to examine more systematically how specific emotions may influence transformational and charismatic leadership. The emotion framework is applied to two theories to demonstrate its utility in gaining a more in-depth understanding of how emotions influence leader communication, motivation, interpersonal relations, and relationship management with followers.

Previous research has demonstrated the importance of emotion recognition ability in negotiations and leadership, but scant research has investigated the role of emotion recognition ability in service contexts. The purpose of this paper is to propose and test a compensatory model in which service employees’ emotion recognition ability helps enhance their job performance, particularly when employees score low on the agreeableness personality dimension or have low cognitive ability.

With a two-wave multisource dataset collected from a service center of a large retail bank, multiple regression analysis was used to test the moderating roles of agreeableness and cognitive ability on the relationship between service employees’ emotion recognition ability and their performance.

Service employees’ emotion recognition ability helped enhance their job performance. However, the positive effect of emotion recognition ability on job performance was only statistically significant when employees’ agreeableness or cognitive ability was low.

The findings have important implications for how service organizations select and recruit employees. In particular, service employees with low agreeableness or cognitive ability may still be able to perform well when possessing high emotion recognition ability. Therefore, emotion recognition ability should be considered in the selection and recruitment process.

Going beyond self-report measures of emotion recognition and using a performance measure from organizational records, this study is one of the first to examine how emotion recognition ability interacts with personality and cognitive ability in predicting service employees’ effectiveness in a service organization.

Purpose – The purpose of this chapter is to introduce readers to augmented reality (AR), mixed reality (MR), and virtual reality (VR) and provide examples of some of the latest ways that researchers and practitioners are applying these digital technologies to emotions-related topics. This chapter also suggests some aspects of these technologies that emotions researchers and practitioners consider taking advantage of in their own work.

Design/Methodology/Approach – The chapter draws on the first author's experience developing and implementing AR, MR, and VR for serious games applications. Examples are also drawn from recent publications in the area.

Findings – The chapter discusses the features and differences between AR, MR, and VR and some of the most popular off-the-shelf tools for researchers and practitioners. It also presents reliable and valid ways these digital technologies have been applied and can be applied.

Practical implications – Practically, this chapter provides a state-of-the-art overview of what AR, MR, and VR offer to researchers and practitioners interested in better understanding, supporting, and addressing phenomenon involving human emotion.

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.

This chapter discusses the formulation of an agent-based model to simulate day-to-day dynamics in activity-travel patterns, based on short and long-term adaptations to exogenous and exogenous changes.

The model is based on theoretical considerations of bounded rationality. Agents are able to explore the area, adapt their aspirations and develop habitual behaviour. If they experience dissatisfaction, stress emerges and this may lead to short or long-term adaptations of an agent’s activity-travel patterns. Both cognitive and affective responses are taken into account, when agents evaluate available options. Moreover, memory-activation and forgetting processes play a significant role in the development of habitual behaviour.

Results of numerical simulations show the effect of memory-activation and emotion-related parameters on habit formation, on the decision-making process and on overall model behaviour. Effects of specific aspects of bounded rationality on the evolution of dynamics in the activity-travel patterns of an individual are illustrated. Effects seem realistic, behaviourally rich and, therefore, more sensitive to a larger spectrum of policies.

The model is unique in its kind. It is one of the first attempts to formulate a dynamic model of activity-travel behaviour, based on principle of bounded rationality, which includes both cognitive and affective mechanism of adaptation.

This article provides a review and conceptual comparison between self‐report and performance‐based measures of emotional intelligence. Analyses of reliability, psychometric properties, and various forms of validity lead to the conclusion that self‐report techniques measure a dispositional construct, that may have some predictive validity, but which is highly correlated with personality and independent of intelligence. Although seemingly more valid, performance‐based measures have certain limitations, especially when scored with reference to consensual norms, which leads to problems of skew and restriction of range. Scaling procedures may partially ameliorate these scoring weaknesses. Alternative approaches to scoring, such as expert judgement, also suffer problems since the nature of the requisite expertise is unclear. Use of experimental paradigms for studying individual differences in information‐processing may, however, inform expertise. Other difficulties for performance‐based measures include limited predictive and operational validity, restricting practical utility in organizational settings. Further research appears necessary before tests of E1 are suitable for making real‐life decisions about individuals.

Higher Education (HE) teaching, learning and research require not only cognitive but also emotional commitment from all who are involved in those dialogic processes: the academic and the student. The focus of this chapter is on unexplored territory: emotions at play within undergraduate research (UR) outside the classroom, specifically experienced by students who are engaged in these opportunities for the first time. After reflecting on the problem and bringing together theoretical approaches related to this theme, the authors present a case study, drawing on qualitative data collected in two institutional contexts – one in the UK and other in Portugal. The data analysis leads us to create a framework that addresses the authors’ two research questions, concerning: the emotions that students experience when they are involved in an UR project, and the aspects of that experience the reported emotions relate to. This leads the authors to suggest some recommendations at the end, so they can move toward a more humanized HE experience. This chapter gives an original contribution to discussions on emotions in HE teaching, learning and research in general, and UR in particular.