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Searching for a job is an important process that influences short- and long-term career outcomes as well as well-being and psychological health. As such, job search research has grown tremendously over the last two decades. In this chapter, the authors provide an overview of prior research, discuss important trends in current research, and suggest areas for future research. The authors conceptualize the job search as an unfolding process (i.e., a process through which job seekers navigate through stages to achieve their goal of finding and accepting a job) in which job seekers engage in self-regulation behaviors. The authors contrast research that has taken a between-person, static approach with research that has taken a within-person, dynamic approach and highlight the importance of combining between- and within-person designs in order to have a more holistic understanding of the job search process. Finally, authors provide some recommendations for future research. Much remains to be learned about what influences job search self-regulation, and how job self-regulation influences job search and employment outcomes depending on individual, contextual, and environmental factors.

Affect is a dynamic construct that varies over time and can significantly influence motivation and performance in organisational contexts. This chapter addresses key conceptual and methodological challenges that arise when aiming to measure affect as a within-person process. The literature has been divided on whether the structure of affect is unipolar or bipolar and no research has considered this structure across levels of analysis. Measuring affect as a within-person process also requires a brief scale that can be administered with minimal disruption. This chapter presents data that provide evidence for bipolarity in the structure of affect. We use these data to validate the momentary affect scale, which is a new brief affect scale that can be used in within-person research designs and applied settings.

Our theoretical understanding of subjective well-being in the workplace is incomplete without a dynamic understanding of antecedents and outcomes of subjective well-being. While between-person differences provide useful information about employee outcomes, these differences do not provide information about the relationships between subjective well-being and employee outcomes that evolve over time and across situations. In this paper, we discuss specific statistical methods within the nomothetic and idiographic perspectives that can support dynamic research on subjective well-being in the workplace and outline unanswered contemporary questions regarding structure, processes, and dynamics of subjective well-being that may be addressed with these methods reviewed; some of which were proposed in early research but progressed slowly due to a lack of adequate methods. This discussion highlights how idiographic methods from outside organizational psychology can be applied to the study of worker subjective well-being to strengthen this dynamic approach in a way that addresses limitations associated with reliance on between-person models.

In the few years since the appearance of Affective Events Theory (AET), organizational research on emotions has continued its accelerating pace and incorporated many elements of the macrostructure suggested by AET. In this chapter we reflect upon the original intentions of AET, review the literature that has spoken most directly to these intentions, and discuss where we should go from here. Throughout, we emphasize that AET represented not a testable theory, but rather a different paradigm for studying affect at work. Our review reveals an obvious shift toward AET in the way organizational researchers study affect at work, but also that some elements have been neglected. Ultimately, we see the most fruitful research coming from further delineation of the underlying processes implicated by the macrostructure of AET.

Research on coping at work has tended to adopt a between-person perspective, producing inconsistent findings on well-being outcomes. This focus on interindividual differences is in contrast to many theories that position coping as process, hence, as an intraindividual process that unfolds over time in response to job stressors and appraisals. The authors propose that focusing more on the within-person coping processes and integrating them with learning perspectives has the potential to advance our understanding. More specifically, coping behavior and well-being can be seen as an outcome of current and past learning processes. In this chapter, the authors discuss three mechanisms that explain how coping processes can produce positive versus negative effects on well-being, and how coping can be integrated into a learning framework to explain these pathways. First, the stress process entails encoding and evaluation of the situation and, as a consequence, deployment of suitable coping behavior. Over and above the efforts that have to be invested to understand the stressful situation, the coping behavior itself also requires time and energy resources. Second, coping behavior likely co-occurs with learning processes such as reflection, exploration, and exploitation. These learning processes require further time and cognitive resources. Third, although coping behaviors and their accompanying learning processes have the potential to drain resources at the within-person level, they can also build up interindividual coping resources such as a broader repertoire and coping flexibility. These between-level differences equip employees to deal with future stressors.

Experience sampling methods (ESM) have enabled researchers to capture intensive longitudinal data and how worker well-being changes over time. The conceptual advances in understanding the variability of well-being are discussed. These emerging forms in the literature include affective inertia, affective variability, affective reactivity, and density distributions. While most ESM research has relied on the active provision of data by participants (i.e., self-reports), technological advances have enabled different forms of passive sensing that are useful for assessing and tracking well-being and its contextual factors. These include accelerometer data, location data, and physiological data. The strengths and weaknesses of passively sensed data and future ways forward are discussed, where the use of both active and passive forms of ESM data in the assessment and promotion of worker well-being is expected.

Purpose – The purpose of this chapter is to conduct a critical literature review that examines the origins and development of research on service robots in organizations, as well as the key emotional and cognitive issues between service employees, customers, and robots. This review provides a foundation for future research that leverages the emotional connection between service robots and humans.

Design/Methodology/Approach – A critical literature review that examines robotics, artificial intelligence, emotions, approach/avoid behavior, and cognitive biases is conducted.

Findings – This research provides six key themes that emerge from the current state of research in the field of service robotics with 14 accompanying research questions forming the basis of a research agenda. The themes presented are as follows: Theme 1: Employees have a forgotten “dual role”; Theme 2: The influence of groups is neglected; Theme 3: Opposing emotions lead to uncertain outcomes; Theme 4: We know how robots influence engagement, but not experience; Theme 5: Trust is necessary but poorly understood; and Theme 6: Bias is contagious: if the human mind is irrational…so too are robot minds.

Practical Implications – Practically, this research provides guidance for researchers and practitioners alike regarding the current state of research, gaps, and future directions. Importantly for practitioners, it sheds light on themes in the use of AI and robotics in services, highlighting opportunities to consider the dual role of the employee, examines how incorporating a service robot influences all levels of the organization, addresses motivational conflicts for employees and customers, explores how service robots influence the whole customer experience and how trust is formed, and how we are (often inadvertently) creating biased robots.

Empathy, or the process of feeling or knowing how another feels, is a critical component of social interactions, and may be of particular importance to organizational functioning. This chapter addresses a literature gap on empathy in organizational contexts by providing a review of empathy research in a management setting.

We integrate the developing field of empathy research and provide a conceptual framework built on Ashkanasy’s (2003) five levels of analysis in emotions research, emphasizing within-person, between-person, interpersonal, group-level, and organization-level processes.

Our model addresses the complaint that empathy definitions are not consistent by illustrating how the level of analysis alters the view of empathy’s role in organizations.

This multi-level model of empathy provides a framework to identify gaps in the empathy literature and make recommendations for future research.

This new model of empathy will help practitioners use and understand empathy by providing a structure of how empathy is manifested in organizational settings.

The field of empathy research has been limited by inconsistent definitions and a lack of a model that outlines how empathy is used in organizations. This multi-level model of empathy provides the necessary framework for researchers and practitioners to advance the research and practice of empathy in organizations.

Recent years have seen an upsurge of interest in the study of emotions in organizations. Research, however, has been hampered by the ephemeral nature of emotions and a lack of an integrated multi-level model. This article therefore presents a five-level model of emotions in organizations. At the lowest level is within-person variation, defined in terms of affective events theory. Levels of the model then proceed through individual, dyadic relationship, group, and organization-wide perspectives. The article also outlines the neurophysiological processes that underlie the experience, perception, and communication of emotion; it concludes with a discussion of implications for research and practice.