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We develop a conceptual model, based on person-environment fit theory, which explains how employee age affects occupational strain and well-being. We begin by explaining how age directly affects different dimensions of objective and subjective P-E fit. Next, we illustrate how age can moderate the relationship between objective P-E fit and subjective P-E fit. Third, we discuss how age can moderate the relationships between P-E fit, on one hand, and occupational strain and well-being on the other. Fourth, we explain how age can impact occupational strain and well-being directly independent of P-E fit. The chapter concludes with implications for future research and practice.

This study applies asymmetric rather than conventional symmetric analysis to advance theory in occupational psychology. The study applies systematic case-based analyses to model complex relations among conditions (i.e., configurations of high and low scores for variables) in terms of set memberships of managers. The study uses Boolean algebra to identify configurations (i.e., recipes) reflecting complex conditions sufficient for the occurrence of outcomes of interest (e.g., high versus low financial job stress, job strain, and job satisfaction). The study applies complexity theory tenets to offer a nuanced perspective concerning the occurrence of contrarian cases – for example, in identifying different cases (e.g., managers) with high membership scores in a variable (e.g., core self-evaluation) who have low job satisfaction scores and when different cases with low membership scores in the same variable have high job satisfaction. In a large-scale empirical study of managers (n = 928) in four (contextual) segments of the farm industry in New Zealand, this study tests the fit and predictive validities of set membership configurations for simple and complex antecedent conditions that indicate high/low core self-evaluations, job stress, and high/low job satisfaction. The findings support the conclusion that complexity theory in combination with configural analysis offers useful insights for explaining nuances in the causes and outcomes to high stress as well as low stress among farm managers. Some findings support and some are contrary to symmetric relationship findings (i.e., highly significant correlations that support main effect hypotheses).

Recent years have seen an explosion in the study of emotions in organizations, and although emotions play a central role in the job stress process, their role is largely neglected in empirical stressor–strain studies. Our chapter aims to build consensus in the literature by showing that discrete emotions provide a mechanism through which stressors exert their impact on well-being. By examining a larger domain of stressors, emotions, and well-being, we begin to develop and expand upon the nomological network of emotions. In an effort to build on the job demands–resources (JD-R) model, which includes both job demands (i.e., negative stimuli such as time pressure) and resources (i.e., positive stimuli such as autonomy), we include both negative and positive discrete emotions with the expectation that negative emotions will generally be linked to demands and positive emotions will be linked to resources. We also propose that there may be circumstances where demands trigger negative discrete emotions and lead to greater experienced strain, and conversely, where resources arouse positive discrete emotions, which would positively affect well-being. The model in our chapter sheds light on how discrete emotions have different antecedents (i.e., job demands and resources) and outcomes (e.g., satisfaction, burnout, performance), and as such, respond to calls for research on this topic. Our findings will be of particular interest to organizations where employees can be trained to manage their emotions to reduce the strain associated with job stressors.

Guided by a life course theoretical perspective, this study aimed to examine associations between providing caregiving for a young or adult son or daughter with special needs and multiple dimensions of physical health status among married midlife and older adults, as well as moderation of these associations by gender and marital quality (i.e., marital strain).

Regression models were estimated using data from 1,058 married adults aged 33–83 (National Survey of Midlife in the U.S. (MIDUS), 2005).

Parental caregiving for a young or adult child with special needs (in contrast to no caregiving) was linked to poorer global health and more physical symptoms among both fathers and mothers. Father caregivers reported slightly more chronic conditions than noncaregiving men, regardless of marital quality. By contrast, mother caregivers reported a much higher number of chronic conditions when they also reported a high level of marital strain, but not when they reported a low level of marital strain.

Overall, results provide evidence from a national sample that midlife and older parents providing caregiving for a child with special needs are at risk for poorer health outcomes, and further tentatively suggest that greater marital strain may exacerbate health risks, particularly among married mother caregivers.

Given the increasing global focus of many aspects of our society, researchers have taken significant steps in understanding the impact of culture on various psychological states. This review focuses on the stressor–strain relationships within the context of cross-cultural and cross-national studies. Using research findings from the United States as a baseline, we identify common and unique themes concerning the stressor–strain relationships between different countries, and clarify the differences between cross-national and cross-cultural studies. Furthermore, we consider cross-cultural and cross-national occupational stress research from an individual differences perspective. We encourage future studies to adopt this perspective and carefully consider the implications of cultural values on occupational stress research at the individual, group, and country levels.

The London Interbank Offered Rate (LIBOR) is considered to be the most important interest rate in finance upon which trillions in financial contracts are decided. In 2008, it was revealed that the LIBOR traders were rigging the interest rates. Yet, there is an unresolved question that regulators and banking officials did not address in their quest to seek answers to the fraud: Were the banks under financial strain when they underreported their LIBOR rates? To answer this question, the article posits that the pressure to meet market expectations led the banks to experience financial strain. Data were gathered from 2004 to 2008 on the banks that were involved in the fraud (fraud banks) and matched with a control group of non-fraud banks. The results from a logistic regression model found sufficient statistical evidence to support the claim that fraud will be greater in banks characterized by a higher level of organizational complexity. Variables such as percent of outside directors, board members on the audit committee, and number of employees were all found to be statistically significant. These variables may offer key insights into detecting and preventing frauds in banks.

Turnover of highly educated employees in the hospitality industry is growing rapidly. A predictor of turnover in the hospitality industry recently put forward, but not yet fully researched, is psychological strain. This chapter investigates the role of psychological strain and organizational support in relation to affective commitment and turnover intentions. The results show that both psychological strain and organizational support were found to be significant predictors of turnover intentions. The effect of organizational support was partly mediated by psychological strain and fully by affective commitment. No significant interaction effects with gender were found. As organizational support is a precursor of both psychological strain and intention to leave and is in the scope of influence of a hospitality company, it could be a starting point for reducing turnover.

The link between emotion display rules and job strain has been well established. This chapter draws upon the organizational justice literature to propose a new individual difference, service emotion rule fairness (SERF), to predict job strain for service workers. We propose that when service workers believe that organizational control of emotional displays is unfair they have poor fit with the job and increased strain. In fact, in the survey and experimental studies presented here, SERF uniquely predicted turnover intentions and emotional exhaustion beyond individual and group characteristics. SERF was rated higher when displays to customers are perceived as a means to gain financial rewards or form relationships with others, supporting a self-interest model of fairness, whereas the extent that display rules made one feel controlled, SERF was lower. We also found evidence that those with more social and organizational power perceived that the requirements were fairer. Practical and research implications are discussed.

Karasek's (1979) job demands-control model is one of the most widely studied models of occupational stress (de Lange, Taris, Kompier, Houtman, & Bongers, 2003). The key idea behind the job demands-control model is that control buffers the impact of job demands on strain and can help enhance employees’ job satisfaction with the opportunity to engage in challenging tasks and learn new skills (Karasek, 1979). Most research on the job demands-control has been inconsistent (de Lange et al., 2003; Van Der Deof & Maes, 1999), and the main reasons cited for this inconsistency are that different variables have been used to measure demands, control, and strain, not enough longitudinal research has been done, and the model does not take workers’ individual characteristics into account (Van Der Deof & Maes, 1999). To address these concerns, expansions have been made on the model such as integrating resources, self-efficacy, active coping, and social support into the model (Demerouti, Bakker, Nachreiner, & Schaufeli, 2001b; Johnson & Hall, 1988; Demerouti, Bakker, de Jonge, Janssen, & Schaufeli, 2001a; Landsbergis, Schnall, Deitz, Friedman, & Pickering, 1992). However, researchers have only been partially successful, and therefore, to continue reducing inconstencies, we recommend using longitudinal designs, both objective and subjective measures, a higher sample size, and a careful consideration of the types of demands and control that best match each other theoretically.