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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Zeng, W.L. & Ma, S. (2024). Job Demands and Resources in Distant Working Conditions and Their Impact on Emotional Well-being: Evidence from a Longitudinal Study of Healthcare Workers. EURAM 2024 Conference.
Exportar Referência (IEEE)
Z. Weilong and S. Ma,  "Job Demands and Resources in Distant Working Conditions and Their Impact on Emotional Well-being: Evidence from a Longitudinal Study of Healthcare Workers", in EURAM 2024 Conf., Bath UK, 2024
Exportar BibTeX
@null{weilong2024_1734636058889,
	year = "2024",
	url = "https://conferences.euram.academy/2024conference/"
}
Exportar RIS
TY  - GEN
TI  - Job Demands and Resources in Distant Working Conditions and Their Impact on Emotional Well-being: Evidence from a Longitudinal Study of Healthcare Workers
T2  - EURAM 2024 Conference
AU  - Zeng, W.L.
AU  - Ma, S.
PY  - 2024
CY  - Bath UK
UR  - https://conferences.euram.academy/2024conference/
AB  - Background/objective: Working independently from various locations is becoming a natural part of the occupational landscape for employees. However, little is known about the job demands and resources in distant working settings shape employee’s well-being. This study aims to investigate how job demands, job resources and work-family conflict affect employee’s emotional well-being and their emotions development over time with a sample of Chinese healthcare workers working away from their hospital and home during the COVID-19 pandemic. 

Methods: Using multi-wave longitudinal data collected from three batches of anti-COVID-19 mission healthcare workers (n = 139), we examined the relationship between workload and perceived risks as job demands and social support as job resources and emotional well-being, as well as the moderating effect of work-family conflict on the above relationships. Data were analyzed using hierarchical linear modeling (HLM). 

Results: We found that a) the baseline level of positive emotions and negative emotions predicted increase in positive emotions and negative emotions over time, respectively; in addition, days predicted an increase in positive emotions and a moderate decrease in negative emotions over time; b) job demands (workload, perceived risks) predicted increase in negative emotions over time while job resources (social support) predicted increase in positive emotions and decrease in negative emotions over time; c) work-family conflict played a vulnerability role on emotional well-being.
 
Conclusion: These findings advance our understanding of the mental health functioning and development of employees in distant working condition and enrich the literature of Job Demands-Resources model with intensive longitudinal data from a unique occupational group working in distant working environment. 
ER  -