School of Economics and Management, Guangxi University of Science and Technology, China.
School of Management, Universiti Sains Malaysia, Malaysia.
Int J Occup Saf Ergon. 2023 Dec;29(4):1383-1394. doi: 10.1080/10803548.2022.2131274. Epub 2022 Nov 14.
. This article aims to prompt first-line workers to go beyond regular job roles and engage in more discretionary safety behavior-safety participation in the Chinese construction industry. The construction industry is a high-risk industry, and first-line workers are more likely to be exposed to workplace hazards. Once accidents happen, the negative consequences would come out. Therefore, employee voluntary safety behavior is focused on in this research. . The present research framework examines the roles of safety leadership and safety management practices from the group and organizational perspectives in predicting the voluntary safety behavior (safety participation) of first-line workers in the Chinese construction industry through casual-chain mediators (safety climate and job satisfaction). In this study, partial least squares structural equation modeling (PLS-SEM) is adopted for data analysis and hypotheses testing. . After data analysis, the results show that safety leadership and safety management practices are significantly and positively associated with safety participation of first-line workers through safety climate and job satisfaction. Moreover, safety management practices have a more statistical effect on safety climate compared to safety leadership. . These results provide some practical implications for facilitating the workers to conduct safety participation inthe construction industry.
. 本文旨在促使一线工人超越常规工作角色,从事更多的自由裁量安全行为——中国建筑行业的安全参与。建筑行业属于高风险行业,一线工人更容易暴露于工作场所的危险之中。一旦事故发生,其负面后果将显现。因此,本研究聚焦于员工的自愿安全行为。. 本研究框架从群体和组织的角度检验了安全领导力和安全管理实践在通过中介变量(安全氛围和工作满意度)预测中国建筑行业一线工人自愿安全行为(安全参与)方面的作用。在本研究中,采用偏最小二乘法结构方程模型(PLS-SEM)进行数据分析和假设检验。. 数据分析后,结果表明,安全领导力和安全管理实践通过安全氛围和工作满意度显著且积极地与一线工人的安全参与相关。此外,安全管理实践对安全氛围的影响比安全领导力更具统计学意义。. 这些结果为促进工人在建筑行业中进行安全参与提供了一些实际意义。