ORIGINAL RESEARCH article
Front. Public Health
Sec. Occupational Health and Safety
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1670767
This article is part of the Research TopicEnhancing Health and Safety for Productivity in the Construction SectorView all 15 articles
Exploring the impact of emergency risk information on construction workers' emergency information behavior: insights from confirmatory and exploratory PLS-SEM analyses
Provisionally accepted- 1Jilin Jianzhu University, Changchun, China
- 2Changchun University of Architecture and Civil Engineering, Changchun, China
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Drawing on risk perception and information adoption theories, this study develops a structural equation model to examine the factors influencing emergency information behavior (EIB). The model includes risk information characteristics (RIC) and information dissemination channels (IDC) as independent variables, risk perception (RP) and information self-efficacy (ISE) as mediating variables, and EIB as the dependent variable. Data were collected from a questionnaire survey of 569 construction workers in Hangzhou and analyzed using Partial Least Squares SEM (PLS-SEM). The results indicate that RIC and IDC have a significant positive influence on RP, ISE, and EIB. Risk perception directly promotes EIB and indirectly influences it by enhancing information self-efficacy. Information self-efficacy, in turn, is also a significant driver of EIB, with the complete model explaining 55.5% of its variance (R² = 0.555). This study concludes that delivering high-quality risk information through multiple channels effectively enhances workers' ability to retrieve and use information during emergencies. This is achieved by improving their risk perception and information self-efficacy. The findings provide valuable empirical evidence and strategic recommendations for emergency management in the construction industry.
Keywords: Emergencies, risk information, Emergency information behavior, Constructionworkers, PLS-SEM
Received: 22 Jul 2025; Accepted: 28 Aug 2025.
Copyright: © 2025 Liu, Zhang, Gao, Jing, Zhang and Miao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Hui Liu, Jilin Jianzhu University, Changchun, China
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