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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)
Ma, S., Ramalho, N., Ayok, O. & Wang, G. (2026). Editorial: Employee Well-being and Health in a Boundaryless Workplace. Frontiers in Organizational Psychology.
Exportar Referência (IEEE)
S. Ma et al.,  "Editorial: Employee Well-being and Health in a Boundaryless Workplace", in Frontiers in Organizational Psychology, 2026
Exportar BibTeX
@null{ma2026_1777840246425,
	year = "2026",
	url = "https://www.frontiersin.org/journals/organizational-psychology/articles/10.3389/forgp.2026.1845361/full"
}
Exportar RIS
TY  - GEN
TI  - Editorial: Employee Well-being and Health in a Boundaryless Workplace
T2  - Frontiers in Organizational Psychology
AU  - Ma, S.
AU  - Ramalho, N.
AU  - Ayok, O.
AU  - Wang, G.
PY  - 2026
SN  - 1664-1078
UR  - https://www.frontiersin.org/journals/organizational-psychology/articles/10.3389/forgp.2026.1845361/full
AB  - The "boundaryless workplace" characterized by the removal of physical and geographical constraints, has shifted from an experimental model to a standard organizational settings (Poethke et al., 2023). While this evolution offers significant benefits (e.g., increased autonomy, and flexibility), the blurring of boundaries between work and non-work domains, constant digital connectivity, and the potential for social isolation necessitate a deeper understanding of how organizations and individuals can protect and promote well-being in this new era (Gajendran et al., 2024; Singh et al., 2022).
This Research Topic was launched to address emerging challenges of boundaryless work by integrating interdisciplinary perspectives on its impact on employee well-being, and health. In this editorial, we present the six contributing articles examining key mechanisms that shape well-being in modern work environments. Using diverse methodologies across sectors, these studies draw on established frameworks primarily the Job Demands–Resources (JD-R) model and Conservation of Resources (COR) theory to identify novel digital job demands and the enabling factors that foster resilience in boundaryless contexts.

ER  -