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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.

Occupational stress occurs in a variety of forms, types, and situations. Arguably, a certain level of stress can encourage productivity, ingenuity, and satisfaction. As occupational stress escalates, however, people’s capacity to deal with it diminishes, eventually compromising work performance and provoking people to express negative emotions. These negative aspects of stress are buffered to a certain extent by individual differences such as personality as well as external contextual factors such as the working environment. This chapter reports a study applying an affective events theory (AET) as a framework to investigate perceived stress in response to negative events in emergency services’ workplaces and the potential buffering effects of servant leadership, affective team climate, and psychological capital. An experience sampling methodology (ESM) was used to record daily cases of self-reported negative events experienced by participants over the three week data-collection period. A structured survey questionnaire independent of the ESM was also used to collect data from 44 emergency service operation members. The findings indicate that servant leadership behavior, affective team climate, and individual psychological capital all are significantly related to reduced perceived occupational stress in emergency service team members.

The most commonly described components of customer experience include cognitive and affective aspects. However, the subjective self-reported methods traditionally applied in tourism research cannot fully represent the instant, dynamic, and affective nature of customer experience. Therefore, there is a need for moment-based approaches and longitudinal methods in tourism research. The chapter provides a selective review of measures that can be used to assess the affective aspects of customer experience. Taking into account the advantages and limitations of each method, the integration of self-reported scales, moment-based psychophysiological techniques, and longitudinal methods should be considered as the best approach to measuring affective components of customer experience in tourism. This holistic interdisciplinary approach will help researchers and tourism practitioners understand the relationship between affective and cognitive components of tourists' pre-visit, onsite, and post-visit experience, as well as evaluate the effectiveness of marketing campaigns, identify weak points of tourists' customer journey, and maximize total travel experience.

Team cohesion and other team processes are inherently dynamic mechanisms that contribute to team effectiveness. Unfortunately, extant research has typically treated team cohesion and other processes as static, and failed to capture how these processes change over time and the implications of these changes. In this chapter, we discuss the characteristics of team process dynamics and highlight the importance of temporal considerations when measuring team cohesion. We introduce innovative research methods that can be applied to assess and monitor team cohesion and other process dynamics. Finally, we discuss future directions for the research and practical applications of these new methods to enhance our understanding of the dynamics of team cohesion and other processes.

This chapter describes methodological issues that are relevant for research on recovery. We aim to provide an overview of methodological approaches that have been or can be used in recovery research, and to provide methodological guidelines that researchers may use in assessing the process of recovery. We argue that studies on recovery must be explicit about recovery settings, recovery processes (i.e., activities and experiences) and recovery outcomes. We describe typical operationalizations of these three perspectives and focus in more detail on potential measures of recovery outcomes. We give an overview of research designs including experiments and quasi-experiments, diary studies, and longitudinal field studies. We conclude by pointing to remaining challenges for researchers in the area of recovery.

Our study examined whether work engagement follows a predictable pattern over the course of the work week and the role of personality traits in shaping this pattern.

We examined these questions with 131 employees from Canada and the United States who provided daily ratings of work engagement over the course of 10 work days.

Multilevel modeling revealed that employee engagement followed an inverted U-shaped curvilinear pattern from Monday to Friday, peaking midweek. Neuroticism moderated the change pattern of engagement across the work week, such that individuals with higher levels of neuroticism experienced lower and less stable levels of work engagement throughout the work week compared with individuals with lower levels of neuroticism. However, extroversion and conscientiousness did not moderate the change pattern of employee engagement.

These results provide insight into the entrainment of work to the work week and how this entrainment is further affected by the personality trait neuroticism.

Understanding the weekly pattern of work engagement will help leaders’ time work assignments, interventions, and training sessions to keep the levels of employee engagement high.

Our study revealed novel predictors of within-person engagement: weekly entrainment and neuroticism.

A growing body of research outlines how to best facilitate and ensure methodological rigor when using dictionary-based computerized text analyses (DBCTA) in organizational research. However, these best practices are currently scattered across several methodological and empirical manuscripts, making it difficult for scholars new to the technique to implement DBCTA in their own research. To better equip researchers looking to leverage this technique, this methodological report consolidates current best practices for applying DBCTA into a single, practical guide. In doing so, we provide direction regarding how to make key design decisions and identify valuable resources to help researchers from the beginning of the research process through final publication. Consequently, we advance DBCTA methods research by providing a one-stop reference for novices and experts alike concerning current best practices and available resources.

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 this chapter, we summarize and build on the current state of the customer mistreatment literature in an effort to further future research on this topic. First, we detail the four primary conceptualizations of customer mistreatment. Second, we present a multilevel model of customer mistreatment, which distinguishes between the unfolding processes at the individual employee level and the service encounter level. In particular, we consider the antecedents and outcomes unique to each level of analysis as well as mediators and moderators. Finally, we discuss important methodological concerns and recommendations for future research.

While researchers have assumed that it is not possible to determine the key reactants that cause positive emotional reactions, we argue that experiences, such as watching an entertaining television show or working in a pleasant climate, produce their positive effects through one or more “root causes” of positive emotion. This study identified a classification of root causes derived from reports of individual positive moments submitted by office workers throughout their workday. Through identifying root causes, such as Fulfilled Expectations, Positive Self-Image, Humor, and Relief, we provide the first data-driven attempt to develop a taxonomy of root causes of positive affect at work.