• Safety and Health at Work
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• v.11 no.3
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• pp.353-360
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• 2020

Background: Urban bus drivers work under conditions that are among the most demanding, stressful, and unhealthy with higher rates of mortality and morbidity as well as absenteeism and turnover. Methods: Drawing on the job demand-resource model, this study investigates the impacts of job characteristics on emotional exhaustion and the effects of emotional exhaustion on job outcomes (including job satisfaction, life satisfaction, organizational commitment, and turnover intention) in the context of bus drivers. Results: Using self-reported survey data collected from a sample of 320 Taiwanese urban bus drivers, results reveal that role overload and work-family conflict (as job demand factors) positively relate to emotional exhaustion, and organizational support (as a job resource factor) is negatively associated with emotional exhaustion. Emotional exhaustion has negative effects on both job satisfaction and organizational commitment. Job satisfaction positively leads to life satisfaction, whereas organizational commitment negatively relates to turnover intention. Conclusion: This study concludes that role overload and work-family conflict as two stressors related to job demands and organizational support as the job resource factor to affect emotional exhaustion which further influence well-being in bus driver context. The moderating effects of both extraversion and neuroticism on the relationship between job demands and emotional exhaustion are evident.

• Journal of Information Technology Applications and Management
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• v.31 no.1
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• pp.45-55
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• 2024

How to create high levels of employee engagement and how to avoid burnout in the workplace is main issue in human resource management. According to Job Demands-Resources (JD-R) model, this study aims to investigate when self-efficacy plays as a mitigator on the impact of job demand on burnout, and explains why job resources are translated into work engagement. A sample of 237 Mongolian employees is used to test hypotheses. Results show that self-efficacy does offset the relationship between job demands and burnout. Meanwhile, self-efficacy plays as a mediator on the impact of job resources on work engagement. The implications of these findings for the context of JD-R model are discussed.

• Asia Marketing Journal
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• v.16 no.2
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• pp.1-14
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• 2014

This study applies the job-demands resource (JD-R) model to investigate the interactive effect of job demands and job resources in predicting the development of service employee work engagement and customer-oriented attitude. This paper proposed a theoretical model that suggests that the service employee's work engagement is the consequence of the employee's perceived support from the organization and its customers (customer participation) and leads to a customer-oriented attitude. However, the effect of organizational support is somewhat hindered by job insecurity, demonstrating the inability of an organizationally provided job resource to overcome the job demand of job insecurity. As a type of job demand from customer's perspective, customer crowding is suggested as a negative moderator in the link between customer participation and work engagement. As such, this article proposes how different elements of a service employee's work environment interact to ultimately influence the service employee's customer-oriented attitude. Specifically, the current research focuses on how the negative contextual elements of job insecurity and job crowding (i.e., job demands) interact with the potentially positive elements of organizational support and customer participation (i.e., job resources), as well as with an employee's customer orientation, to ultimately develop a customer-oriented attitude. This study concludes with some propositions for potential causal relationships among key constructs that can be empirically tested in future research, as well as implications of the current study for both managers and researchers.

• The Journal of the Korea Contents Association
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• v.15 no.6
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• pp.432-444
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• 2015

This study investigated the effects of job demand-resource variables that appear in a special organizational environment such as a hospital on job burnout and job engagement using the job demands-resources model of Schaufeli & Bakker(2004). And also the study investigated to verify discriminatory mediating roles of emotional labor strategies in the process. The main finding of this study was as follows: Job demands-resources showed a positive relationship in the job burnout and job engagement, and job demands induced surface acting and job resources induced deep acting. However, deep acting showed a positive relationship to job engagement, and surface acting showed a negative relationship with job burnout unlike in previous study results, which was not significant. The results of verifying the meditation model through Boostrap showed that since the two indirect effects were not significant, the meditating role of emotional labor strategies was not verified in the effects of job demand-resource levels on job attitudes, including job burn out and job engagement.

• Journal of Korean Clinical Nursing Research
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• v.22 no.1
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• pp.88-98
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• 2016

Purpose: The purpose of this study was to construct and test a structural equation model of burnout of the critical care nurses based on the job demand-resource model. Methods: A structured questionnaire was completed by 414 critical care nurses. The relationships between concepts of job stress, empathic ability, resilience, job satisfaction, compassion fatigue and burnout were analyzed. Using SPSS WIN 22.0 and AMOS 22.0 programs, the direct and indirect effects of factors affecting burnout among critical care nurses were calculated and modelled. Results: The modified model was yielded as follows: Chi-square= 216.59, GFI= .93, AGFI= .89, NFI= .90, CFI= .93, RMSEA= .07, SRMR= .06 and showed good fit indices. Job satisfaction and compassion fatigue had mediation effects between other three exogenous variables and burnout. Conclusion: The major findings of this study indicate that it is important to develop a support program for critical care nurse in order to improve their job satisfaction and ameliorate their compassion fatigue.

• Journal of Korean Academy of Nursing
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• v.43 no.1
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• pp.114-122
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• 2013

Purpose: The purpose of this study was to examine burnout and job satisfaction among nurses based on Job Demand-Resource Model. Methods: A survey using a structured questionnaire was conducted with 464 hospital nurses. Analysis of data was done with both SPSS Win 17.0 for descriptive statistics and AMOS 18.0 for the structural equation model. Results: The hypothetical model yielded the following Chi-square=34.13 (p=<.001), df=6, GFI=.98, AGFI=.92, CFI=.94, RMSR=.02, NFI=.93, IFI=.94 and showed good fit indices. Workload had a direct effect on emotional exhaustion (${\beta}$=0.39), whereas supervisor support had direct effects on emotional exhaustion (${\beta}$=-0.24), depersonalization (${\beta}$=-0.11), and low personal accomplishment (${\beta}$=-0.22). Emotional exhaustion (${\beta}$=-0.42), depersonalization (${\beta}$=-0.11) and low personal accomplishment (${\beta}$=-0.36) had significant direct effects on job satisfaction. Conclusion: The results suggest that nurses' workload should be decreased and supervisor's support should be increased in order to retain nurses. Further study with a longitudinal design is necessary.

• The Journal of Industrial Distribution & Business
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• v.9 no.9
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• pp.35-44
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• 2018

Purpose - In endless competition, companies pursue cost reduction and work efficiency. So, entrepreneurs try to increase job intensity, which may lead to job stress and high turnovers because of job burnout. But, Information systems are acknowledged as a work support tool that secures work convenience and the productivity of employees. In this study, we aimed to confirm the effects of information systems in reduing the work overload of employees in a human resource intensive industry. Research design, data and methodology - This is based on the job demands-resources model, conducting an empirical analysis of surveys given to hospital employees working in a human resource intensive industry. Results - The research revealed that information systems reduced the work overload of employees in a human resource intensive industry. Conclusion - This study confirmed the effects of information systems as a job resource based on JD-R theory, and presentation of empirical results indicated that information systems alleviate employee job overload and increases job satisfaction in the medical services industry. In the medical services industry, using electronic health record system decreases in work overload, which results in employees gaining time for self-development and time management, reducing job stress, and leading to job satisfaction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.8
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• pp.103-112
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• 2016

This study used a job demand-resources model as the basis to examine the effects of job demand and job resources on health problems and turnover intention. A total of 320 nurses who were employed at university hospitals in Seoul participated in the study. The results showed that job demand and job resources had a direct effect on the levels of work burnout and work engagement. Work burnout had a direct effect by increasing the levels of health problems and turnover intentions of nurses; conversely, work engagement had no direct impact on either of the two levels. Job demand and job resources had an indirect effect on increased levels of health problems and turnover intention. The results can be used by hospital administrations to confirm the organizational significance of job resources in increasing job performance and work involvement, as well as to understand the consequences of perceived job demand by nurses.

• Journal of the Korean Society of Safety
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• v.36 no.2
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• pp.39-48
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• 2021

This study was conducted to suggest a direction in which safety managers can concentrate on industrial accident prevention and safety management for the organization. The job resources of safety managers were divided into organizational and individual levels, and the magnitude of the impact on organizational commitment was compared. Furthermore, job demands were classified into environmental risk factors and personal psychological factors to confirm their effect on organizational commitment. The moderating effect of job resources and sub-factors of the variable in the relationship between job demands and organizational commitment was verified. In this study, a questionnaire survey was conducted on 193 safety managers in the domestic electric construction business, data were collected, and a questionnaire of 180 people was used for the final analysis. Based on the results, organization-level resources among the sub-factors of job resources and individual psychological factors among the sub-factors of job demand had a more significant influence on organizational commitment. In the relationship between job resources and organizational commitment, the moderating effect of job demand was verified, confirming that job demand had a negative moderating effect. Individual psychological factors had a modulating effect, whereas environmental factors did not. The significance, implications, and limitations of this study are discussed based on the research results.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.95-100
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• 2022

Cloud computing platform is a shared pool of resources and services with various kind of models delivered to the customers through the Internet. The methods include an on-demand dynamically-scalable form charged using a pay-per-use model. The main problem with this model is the allocation of resource in dynamic. In this paper, we have proposed a mechanism to optimize the resource provisioning task by reducing the job completion time while, minimizing the associated cost. We present the Cooperative Agents Dynamic Resource Allocation and Monitoring in Cloud Computing CADRAM system, which includes more than one agent in order to manage and observe resource provided by the service provider while considering the Clients' quality of service (QoS) requirements as defined in the service-level agreement (SLA). Moreover, CADRAM contains a new Virtual Machine (VM) selection algorithm called the Node Failure Discovery (NFD) algorithm. The performance of the CADRAM system is evaluated using the CloudSim tool. The results illustrated that CADRAM system increases resource utilization and decreases power consumption while avoiding SLA violations.