![]() |
CrossRef Text and Data Mining |
Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining. |
A Structural Model for Burnout and Work Engagement of Nurses in Long-term Care Hospitals: Application of the Expanded Job Demand-Job Resources Model |
Eun Ok Yang, Mee Ock Gu |
J Korean Gerontol Nurs. 2022;24(1):108-121. Published online 2022 February 28 DOI: https://doi.org/10.17079/jkgn.2022.24.1.108 |
A Structural Model for Burnout and Work Engagement of Nurses in Long-term Care Hospitals: Application of the Expanded Job Demand-Job Resources Model Long-Term Care Nurses’ Intent to Stay, Job Characteristics, and Organizational Justice : A Structural Equation Model Analisis Pengaruh Job Demand terhadap Work Engagement melalui Burnout A Dual Path Model of Work-Related Well-Being in Healthcare and Social Work Settings: The Interweaving Between Trait Emotional Intelligence, End-User Job Demands, Coworkers Related Job Resources, Burnout, and Work Engagement Impact of telework on exhaustion and job engagement: a job demands and job resources model Recognition of Healthcare Accreditation, Job Stress, and Burnout Resilience of Nurses in Long-term Care Hospitals Analysis of Burnout and Job Satisfaction among Nurses Based on the Job Demand-Resource Model Job Resources as Antecedents of Engagement at Work: Evidence From a Long-Term Care Setting Effects of job resources factors on nurses job performance (mediating role of work engagement) CE Module: Work Engagement and the Validity of Job Demands–Resources Model Among Nurses in Japan: A Literature Review |
This metadata service is kindly provided by CrossRef from May 29, 2014. J Korean Gerontol Nurs has participated in CrossRef Text and Data Mining service since February 27, 2015. |