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The purpose of this paper is to give a state‐of‐the art overview of the Job Demands‐Resources (JD‐R) model

The strengths and weaknesses of the demand‐control model and the effort‐reward imbalance model regarding their predictive value for employee well being are discussed. The paper then introduces the more flexible JD‐R model and discusses its basic premises.

The paper provides an overview of the studies that have been conducted with the JD‐R model. It discusses evidence for each of the model's main propositions. The JD‐R model can be used as a tool for human resource management. A two‐stage approach can highlight the strengths and weaknesses of individuals, work groups, departments, and organizations at large.

This paper challenges existing stress models, and focuses on both negative and positive indicators of employee well being. In addition, it outlines how the JD‐R model can be applied to a wide range of occupations, and be used to improve employee well being and performance.

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.

The purpose of this paper is to develop and present a safety-oriented job demands-resources (JD-R) model that supports the notion that excessive job demands in the fire service, when not controlled or countered, may increase firefighter burnout and diminish firefighter safety.

The approach for the present project includes a review of the JD-R literature and the presentation of a conceptual model specific to fire service organizations.

A conceptual model, relevant to fire service organizations was derived. The model argues that excessive job demands associated with workload, physical demands, emotional demands, and complexity can result in burnout if not controlled or countered. Safety-specific resources, including recovery, support, safety-specific transformational leadership and safety climate are theorized to buffer these effects and are suggested to enhance firefighter engagement. These effects are argued then to improve firefighter safety. Ultimately, the findings will help guide future research, intervention projects and workplace safety and health management programs and initiatives.

This paper and conceptual model extends the application of the JD-R model to fire service organizations. Further, the conceptual model supports the application of safety-specific job resources vs more traditional job resources as a means to enhance firefighter safety.

The purpose of this paper is to provide a synthesis and evaluation of literature surrounding the job demands-resources (JD-R) model (Demerouti et al., 2001) in the first decade since its inception, with particular emphasis on establishing an evidence-based universal application towards different national and international work contexts.

The study uses a systematic review approach following the stages suggested by Tranfield et al. (2003). Based on empirical data from 62 studies, the authors systematically analyse the application of the JD-R model and queries whether it is applicable outside merely domestic work contexts.

The authors find convincing support for the JD-R model in different national contexts. However, the authors also found an absence of studies employing the JD-R model in cross-national settings. None of the empirical studies in the sample had explicitly considered the international context of today’s work environment or had clearly associated JD-R research with the IHRM literature.

Based on the wide acceptance of the JD-R model in domestic work contexts and the increased interest in work-related outcomes such as burnout and engagement in the IHRM literature, the study identifies a gap and suggests future research applying the JD-R model to international work and global mobility contexts.

This study is the first to systematically assess the application of the JD-R model in domestic and international work contexts based on a systematic review of empirical literature in the first decade since the inception of the model. The study identifies a lack of internationally focussed JD-R studies and invites further empirical research and theoretical extensions.

Using the job demands-resources (JD-R) model as a theoretical framework, the purpose of this paper is to investigate how job demands and job resources affect older employees’ desired retirement age, through an energy-depletion and a motivational process. Furthermore, the importance of gain and loss cycles (i.e. recursive effects) for the desired retirement age was investigated.

A two wave full panel design with 2,897 older employees ( > 50) served to test the hypotheses. Confirmatory factor analysis and structural equation modeling were used to test the measurement and research model. Cross-lagged analyses tested the presence of gain and loss cycles.

Results from cross-lagged analyses based on two waves over a one-year period indicated the presence of both a gain and a loss cycle that affected the desired retirement age.

This is the first longitudinal study applying the JD-R model to a retirement context. Limitations relate to employing only two waves for establishing mediation, and using self-reports.

Because work conditions can create a cycle of motivation as well as a cycle of depletion, organizations should pay special attention to the job resources and demands of older workers. The findings can inspire organizations when developing active aging policies, and contribute to interventions aimed at maintaining older employees within the workforce until – or even beyond – their official retirement age in a motivated and healthy way.

This is the first longitudinal study applying the JD-R model to a retirement context and finding evidence for gain and loss cycles.

Digital labor platforms (DLPs) are transforming the nature of the work for an increasing number of workers, especially through extensively employing automated algorithms for performing managerial functions. In this novel working setting – characterized by algorithmic governance, and automatic matching, rewarding and punishing mechanisms – gig-workers play an essential role in providing on-demand services for final customers. Since gig-workers’ continued participation is crucial for sustainable service delivery in platform contexts, this study aims to identify and examine the antecedents of their working outcomes, including burnout and engagement.

We suggested a theoretical framework, grounded in the job demands-resources heuristic model to investigate how the interplay of job demands and resources, resulting from working in DLPs, explains gig-workers’ engagement and burnout. We further empirically tested the proposed model to understand how DLPs' working conditions, in particular their algorithmic management, impact gig-working outcomes.

Our findings indicate that job resources – algorithmic compensation, work autonomy and information sharing– have significant positive effects on gig-workers’ engagement. Furthermore, our results demonstrate that job insecurity, unsupportive algorithmic interaction (UAI) and algorithmic injustice significantly contribute to gig-workers’ burnout. Notably, we found that job resources substantially, but differently, moderate the relationship between job demands and gig-workers’ burnout.

This study contributes a theoretically accurate and empirically grounded understanding of two clusters of conditions – job demands and resources– as a result of algorithmic management practice in DLPs. We developed nuanced insights into how such conditions are evaluated by gig-workers and shape their engagement or burnout in DLP emerging work settings. We further uncovered that in gig-working context, resources do not similarly buffer against the negative effects of job demands.

This study, using a comprehensive job demand–resources (JD-R) model, aims to explore the pressures of workload, work–life interface and subsequent impacts on employee stress and job satisfaction, with implications for employee job performance, in the context of working from home during the COVID-19 pandemic.

A cross-sectional sample of employees at seven universities (n = 4,497) and structural equation path analysis regression models are used for the analyses.

The results show that a partial mediation JD-R model was supported, where job demands (such as workload and actual hours worked) and job resources (including expectations, support and job security) have relationships with work interference with personal life and personal life interference with work. These have subsequent negative path relationships with stress. Further, stress is negatively related to job satisfaction, and job satisfaction is positively related to employee job performance.

Potential policy implications include mitigation approaches to addressing some of the negative impacts on workers and to enhance the positive outcomes. Timely adjustments to job demands and resources can aid in sustaining balance for workers in an uncertain and fluid environmental context.

This study makes a contribution to knowledge by capturing sentiments on working arrangements, perceived changes and associated outcomes during a key period within the COVID-19 pandemic while being one of the rare studies to focus on a comprehensive JD-R model and a unique context of highly educated workers' transition to working from home.

The purpose of this paper is to integrate leadership into the job demands-resources (JD-R) model. Based on self-determination theory, it was argued that engaging leaders who inspire, strengthen, and connect their followers would reduce employee’s levels of burnout and increase their levels of work engagement.

An online survey was conducted among a representative sample of the Dutch workforce (n=1,213) and the research model was tested using structural equation modeling.

It appeared that leadership only had an indirect effect on burnout and engagement – via job demands and job resources – but not a direct effect. Moreover, leadership also had a direct relationship with organizational outcomes such as employability, performance, and commitment.

The study used a cross-sectional design and all variables were based on self-reports. Hence, results should be replicated in a longitudinal study and using more objective measures (e.g. for work performance).

Since engaged leaders, who inspire, strengthen, and connect their followers, provide a work context in which employees thrive, organizations are well advised to promote engaging leadership.

Leadership seems to be a crucial factor which has an indirect impact – via job demands and job resources – on employee well-being.

The study demonstrates that engaging leadership can be integrated into the JD-R framework.

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.

Using job demands–resources (JD–R) theory, the purpose of this paper is to investigate the role of job demands (difficult performance appraisal (PA) objectives) and job resources (performance feedback and leader member exchange (LMX)) on employee reports of PA cynicism. The paper also investigates the consequences of PA cynicism on intent to quit and bad sportsmanship.

Survey data on PA demands and resources, PA cynicism and turnover intentions were obtained from employees. Supervisors rated their employees’ level of sportsmanship.

Contrary to the predictions of JD–R theory, the authors found that employees are most likely to be cynical when they experience high levels of job resources (LMX and performance feedback) and high levels of job demands (difficult objectives).

The study demonstrates that PA cynicism matters – employees with higher levels of PA cynicism were more likely to contemplate leaving the organization; employees with high levels of PA cynicism are rated as bad sports by their supervisors.

Employees are sensitive to gaps between the description and reality of a PA process which can trigger thoughts of organizational exit and ineffective work behaviors. human resource managers need to ensure that employees regard the PA process as valuable, useful and worth their time and effort.

The authors contribute to the PA literature by investigating the role of both job resources and demands. PA research has focused on the specification of job demands, underplaying the role of job resources in employee attitudes toward PA.