The emotional equation: how psychosocial support boosts safety practices in the context of construction 5.0
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background: Construction 5.0, which emphasizes human-centric technologies and improved collaboration between humans and machines in intelligent construction ecosystems, introduces distinct safety management challenges that necessitate effective emotional resource allocation strategies. This study utilizes job demands-resources theory to investigate how emotional resources are allocated for safety management by examining the relationships among safety practice, psychosocial support, safety participation, and leadership safety behavior. Methods: A face-to-face questionnaire survey was conducted with front-line construction workers involved in Construction 5.0 projects, yielding 118 valid responses. The data were analyzed using linear regression models and the bootstrap method. Results: The findings reveal that: (1) psychosocial support positively influences both safety participation and safety practices; (2) safety participation enhances safety practices; (3) safety participation fully mediates the effect of psychosocial support on safety practices; and (4) leadership safety behavior positively moderates the relationship between safety participation and safety practices. Conclusion: This study extends the job demands-resources framework by illustrating the flow of emotional resources in the context of Construction 5.0, thereby highlighting the principles of multi-level emotional resources in the relationship between emotion and safety. Practically, this framework allows for the evolution of human-centric safety measures in tandem with advanced technology-enabled work environments, while also maintaining psychosocial balance in intelligent construction ecosystems.
Source: Frontiers in Psychology
Authors: Lei Zhang, Jingfeng Yuan, Xianfei Yin, Tiantian Gu, Yinghao Lu, Ping Liu, Mirosław Skibniewski
Institutions: Nanjing Tech University, Southeast University, City University of Hong Kong, China University of Mining and Technology, China Agricultural University, Lanzhou University of Technology, Chaoyang University of Technology, Institute of Theoretical and Applied Informatics, University of Maryland, College Park, Polish Academy of Sciences
Language: English
Subfield: Radiological and Ultrasound Technology
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W4413313569
