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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.

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.

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.

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.

The purpose of this paper is to examine the influence of entrepreneurial orientation (EO) within the framework of the job demands-resources (JD-R) model.

The sample of N=597 white-collars in the German media and IT industry is drawn via the professional network XING. Cross-sectional mediator models are used to test the hypothesis.

The processes proposed by the JD-R model find empirical support. Job demands primarily cause exhaustion while job resources increase job satisfaction. Besides, job demands reduce job satisfaction and job resources lead to less exhaustion. An exception is found for cognitive workload which rather acts like a job resource. EO mediates these effects in a favorable way. High job resources foster EO, which in turn reduces exhaustion and enhances job satisfaction. For job demands, EO shows a negative mediation reducing the health-impairment process and increasing job satisfaction.

Future research should broach the issue of adverse effects related to extreme employee entrepreneurship and potential negative effects.

Supporting and supervising an EO may help employees to cope with modern job profiles in agile organizations.

The findings provide support for a favorable mediating role of an entrepreneurial personal resource within the JD-R model. This knowledge may be used to consider individual work orientations and to organize work in a “healthy” way.

The purpose of this paper is to extend the job demands-resources (JD-R) model by including the factor of “personal demands” and conceptualise experience on personal and job dimensions separately as personal thrust and job thrust. Further, different psychological work states that individuals experience through intra-dimensional balance across personal and job dimensions are proposed.

The paper explains various possible psychological work states experienced by a job incumbent by conceptually developing intra-dimensional fluctuations within the person and job dimensions, respectively, as the new concepts of person and job thrust.

Personal thrust and job thrust have been identified as the two dimensions which impact the work state. Complete engagement and complete disengagement have been identified as two ends of a continuum. Complete work engagement is defined as the balance across these two dimensions. Various combinations of balances and imbalances across these two dimensions results in four different states of disengagement identified as work exhaustion, work boredom, work search and work neutrality.

This paper suggests a novel approach to using personal demand to look at work states which would significantly impact existing research in the JD-R model. This paper tries to bridge the gap between work engagement as a construct and the psychological work states as a phenomenon. Further, it is contended that the psychological work states are manifestations of the interactions between the two dimensions identified as personal and job thrust, which could further be developed into various work-related attitudes and behaviours.

Instead of only relying on the engagement/disengagement dichotomy to plan interventions, managers can plan the appropriate interventions depending on the specific disengagement state analysed through personal and job thrust.

The newly developed model of work states explains the fluctuation of an individual across different work states and links the personal and job-related demand–resource balance at the workplace with distal work-related outcomes, thereby significantly extending the JD-R model.