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Several job characteristics have been suggested to influence workers’ well-being. For example, Herzberg (1968) differentiated job characteristics that offset dissatisfaction such as social relations from job aspects that foster job satisfaction such as opportunities for advancement. While Hackman and Oldham (1976) focused on the motivational potential of job characteristics such as task identity and feedback, Karasek (1979) accentuated time pressure as a pivotal job demand. Together these models point out that various job characteristics may influence workers’ functioning.

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.

In this chapter, we discuss the impact of business trips on travelers and their families from the perspective of respite, thus embedding business trips in stress theories. We begin by reviewing the literature on respite and recovery. Focusing on the role of travelers’ resources, we relate the phenomenon of business trips to conservation of resources (COR) and job demands-resource (JD-R) theories. We then discuss the negative and positive characteristics and outcomes of business trips. We offer evidence from interviews with business travelers regarding the special characteristics and consequences of business trips. We summarize by addressing the question of whether business trips are a special kind of respite.

This study investigates work and non-work antecedents for the work–life balance (WLB) development of remote employees during the COVID-19 pandemic. Longitudinal data (N = 1,146, T1; N = 737, T2) was collected in May–June 2020 and December 2020 in one multinational company (MNC) in Finland. In data analysis, structural equation modeling (SEM) with a cross-lagged panel model was utilized. The results revealed that during the pandemic, WLB slightly decreased. The quantitative job demands increased and predicted a decreased WLB at T2. Job autonomy decreased but did not have an effect on WLB development or buffer the negative effect of quantitative job demands on WLB. Time saved from commuting was positively related to WLB development, but the number of children living at home and the age of the youngest child had no statistically significant link to WLB development over time (similar finding for men and women). Although care responsibilities from the gender perspective is not the focus of our study, the additional analysis show that WLB at T1 was more challenging for women the more children they had, or the younger the youngest child was. For men, children did not make a difference for their WLB at T1. This finding indicates that WLB has been more challenging for mothers compared to fathers already when our first data had been collected, and the continuance of the pandemic did not change the situation in any direction. This research contributes to the knowledge about work and non-work related demands and resources as antecedents for WLB development during the pandemic. As a practical implication during the pandemic, the authors suggest that employers should follow development for employees’ WLB as a measure of well-being in remote work. In addition, the workload of remote employees should be followed, and time saved from commuting should be preserved as employees’ non-work time and protected from work-related tasks.

This survey study among 111 teleworkers in a bank organization investigated the relationship between telework intensity and individual productivity, and whether this relationship was mediated by employees’ intrinsic motivation. Also the moderating role of office hours in the model’s associations was studied. Based on the Job Demands-Resources Model (Bakker & Demerouti, 2007) and the professional isolation literature (e.g., Golden, Vega, & Dino, 2008), we developed and tested a set of hypotheses. Partly in line with expectations, we found a direct curvilinear relationship between telework intensity and individual productivity, characterized by a slight, non-significant positive association at the low telework intensity end, and a significant negative association for the high telework intensity end. Strikingly, we neither found support for a mediating role of intrinsic motivation, nor for a moderation effect of the number of office hours in the relationship between telework intensity and intrinsic motivation. However, the direct relationship between telework intensity and individual productivity appeared to be moderated by the number of office hours. It was concluded that consequences for productivity are contingent on telework intensity, and that the number of office hours has an important impact on the consequences of different telework intensities. The study’s outcomes can inform management and HR practitioners to understand how to implement and appropriately make use of telework.

In this chapter, we use the job demands–resources (JD-R) model (Demerouti, Bakker, Nachreiner, & Schaufeli, 2001) and the transactional model of stress (Lazarus & Folkman, 1984) to provide a theoretical framework with which to examine information and communication technology (ICT) as both a demand and a resource. We review specific characteristics of ICT that may either increase or decrease employee stress and well-being. Specifically, we examine the extent that ICT increases accessibility of workers and access to information, the extent to which it improves communication and control over one's job and life, and the extent to which it is used to monitor employees or provide feedback. Finally, we examine the organizational, job, and individual factors that may mitigate or exacerbate the impact of ICT demands on individual outcomes.

Research on the relationship between high job satisfaction human resources (HR) practices and work-related outcomes at the individual level rarely focuses on job crafting and levels of job passion. To fill this knowledge gap, we show how the relationships between perceived job passion by employees and the availability of HR practices and job satisfaction can vary in job crafting. Based on the job demands–resources (JD-R) perspective, this study was conducted primarily to test the effect of job crafting on the relationship between job passion and job satisfaction. Within the scope of the study, the mediator and moderator role of job crafting between these variables was investigated. The study was collected from 790 people working as blue collars in companies operating in the field of industry in Turkey by survey method. According to the findings of the study, it was observed that job crafting affects job satisfaction in the same direction. In addition to these, the partial mediator and moderator role of job crafting has been observed in the effect of job passion on job satisfaction. Considering these results, it has been observed that the passion for work of blue-collar employees affects job satisfaction. When job crafting is added to this effect, the intensity, strength, and direction of the effect between two variables can change. As a result of the study findings, it has been shown that managers and especially HR managers will strengthen the effect between job crafting and job satisfaction by ensuring the passion of blue-collar individuals.