164 resultados para JOB BURNOUT

em Deakin Research Online - Australia


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Over the last two decades, high performance work systems (HPWSs) research has been dominated by examining the effects of these systems on firm performance. Research on the impact of HPWSs on employees has been marginalised. This study examines the impact of HPWSs on two psychological outcomes for employees, namely, subjective well-being (SWB) and workplace burnout, by utilising data collected from 1488 physicians and nurses in 25 Chinese hospitals. It also examines the moderating effects of employees' organisational based self-esteem (OBSE), as an individual intervention and physician–nurse relationships, as an organisational intervention, on the relationship between HPWSs and employee outcomes. HPWS is found to increase employees' SWB and decrease burnout. Such well-being-enhancing and burnout-relieving effects are stronger when employees have high OBSE. The positive effect of HPWS on SWB is also stronger when there is a collaborative relationship among employees in an organisation. The major contribution of this study is to unpack the ‘black box’ of how HPWS influences employee well-being in the Chinese healthcare sector context.

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This paper utilises the conservation of resources theory to examine the mediating role played by disengagement in the relationships between emotional exhaustion, affective commitment and turnover intentions among healthcare professionals. Structural equation modelling was conducted on data obtained from 302 healthcare professionals in a major Australian cancer hospital. Our findings demonstrate that disengagement fully mediates the relationships between emotional exhaustion and both affective commitment and turnover intentions. Recommendations for future research are suggested and practical implications discussed. © 2013 Taylor & Francis.

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This thesis examines, within the framework of the Conservation of Resources Theory, the development of burnout in a sample of Victorian nurses over a nine-month period. Results showed that work characteristics demonstrated different associations with burnout and that COR theory was partially successful as an explanatory framework.

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A model of stress, employee health and intention to quit, was tested among psychiatric nurses. Results indicated that organizational support and employees' sense of control positively mediate the stressor-health relationship at individual and organizational levels, while work-family conflict worsens employee health and increases intention to quit. The professional portfolio explores the association between depression and cognitive functioning, and its impact on the use of cognitive behavioural therapy in the treatment of depression.

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This paper reports on the results of a study aimed at identifying the relative influence of generic and job-specific stressors experienced by a cohort of Australian managers. The results of a regression analysis revealed that both the generic components of the job strain model (JSM) and job-specific stressors were predictive of the strain experienced by participants. However, when looking at the total amount of variance that is explained by the predictor variables, the combined influence of job demand, job control and social support contributed 98 per cent of the explained variance in job satisfaction and 90 per cent of the variance in psychological health. The large amount of variance explained by the JSM suggests that this model provides an accurate account of the work characteristics that contribute to the strain experienced by managers and no augmentation is needed.

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While situational factors such as high workloads have been found to be predictive of burnout, not all people in the same work context develop burnout. This suggests that individual factors are implicated in susceptibility to burnout. We investigated the relationships between care type (acute/chronic), neuroticism, control (primary/secondary), and symptoms of burnout (exhaustion, cynicism, and reduced professional efficacy) amongst 21 chronic care nurses and 83 acute care nurses working in a public hospital in regional Australia. Similar levels of burnout symptomatology and neuroticism were found in each group of nurses, and neuroticism was found to be associated with exhaustion, cynicism, and reduced professional efficacy in the total sample of nurses. Our prediction that primary control would protect against burnout symptoms in acute care nurses was supported only for professional efficacy, and the prediction that secondary control would protect against burnout in chronic care nurses was not supported.

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Job scheduling is a complex problem, yet it is fundamental to sustaining and improving the performance of parallel processing systems. In this paper, we address an on-line parallel job scheduling problem in heterogeneous multi-cluster computing systems. We propose a new space-sharing scheduling policy and show that it performs substantially better than the conventional policies.

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Cluster computing has come to prominence as a cost-effective parallel processing tool for solving many complex computational problems. In this paper, we propose a new timesharing opportunistic scheduling policy to support remote batch job executions over networked clusters to be used in conjunction with the Condor Up-Down scheduling algorithm. We show that timesharing approaches can be used in an opportunistic setting to improve both mean job slowdowns and mean response times with little or no throughput reduction. We also show that the proposed algorithm achieves significant improvement in job response time and slowdown as compared to exiting approaches and some recently proposed new approaches.

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This paper is based on survey responses from 656 employers who used disability employment services to employ someone with a disability. Relationships between employer satisfaction and employer perceptions of job-match and future hiring intentions toward people who have a disability are outlined and discussed. Employers' perceptions of the job-match process were found to be an important determinant of their perceptions of work performance and employer satisfaction. Comparative ratings on employer satisfaction for employees with and without a disability were seen as an important indicator of future hiring intentions toward people with a disability. Findings reported in this paper provide important information on which to base strategies for improving future employment outcomes for people who have a disability.

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In this paper, we propose a scalable and fault-tolerant job scheduling framework for grid computing. The proposed framework loosely couples a dynamic job scheduling approach with the hybrid replications approach to schedule jobs efficiently while at the same time providing fault-tolerance. The novelty of the proposed framework is that it uses passive replication approach under high system load and active replication approach under low system loads. The switch between these two replication methods is also done dynamically and transparently.

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Autonomic middleware services will play an important role in the management of resources and distributed workloads in emerging distributed computing environments. In this paper, we address the problem of autonomic grid resource scheduling and propose a scheduling infrastructure that is capable of self-management in the face of dynamic behavior inherent to this kind of systems.

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The growing computational power requirements of grand challenge applications has promoted the need for merging high throughput computing and grid computing principles to harness computational resources distributed across multiple organisations. This paper identifies the issues in resource management and scheduling in the emerging high throughput grid computing context. We also survey and study the performance of several space-sharing and time-sharing opportunistic scheduling policies that have been developed for high throughput computing.

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Recent trends in grid computing development is moving towards a service-oriented architecture. With the momentum gaining for the service-oriented grid computing systems, the issue of deploying support for integrated scheduling and fault-tolerant approaches becomes paramount importance. To this end, we propose a scalable framework that loosely couples the dynamic job scheduling approach with the hybrid replications approach to schedule jobs efficiently while at the same time providing fault-tolerance. The novelty of the proposed framework is that it uses passive replication approach under high system load and active replication approach under low system loads. The switch between these two replication methods is also done dynamically and transparently.