Modeling antecedents of safety compliance of construction workers in Australia: a perspective of trait activation theory
Engineering, Construction and Architectural Management
ISSN: 0969-9988
Article publication date: 12 September 2023
Abstract
Purpose
Construction workers’ safety compliance is attracting considerable critical attention as it plays a decisive role in improving safety on construction sites. This study applied the concept of differentiating safety compliance into deep compliance (DC) and surface compliance (SC) and relied on trait activation theory to investigate the effects of situational awareness (SA) and emotional intelligence (EI) on safety compliance.
Design/methodology/approach
Cross-sectional survey data were collected from 239 construction workers in Australia, and these responses were statistically analyzed using the partial least squares structural equation modeling (PLS-SEM) to validate the proposed model.
Findings
Results revealed that both EI and SA positively impacted DC and negatively impacted SC. Moreover, SA partially mediated the link between EI and two types of safety compliance (DC and SC). The outcomes showed that construction workers’ ability in regulating their emotions could influence their perception of environmental cues and the effectiveness of safety compliance behavior.
Originality/value
This study sheds light on investigating the antecedents of DC and SC from the perspective of trait activation theory. The findings also have practical implications, stating that construction site managers or safety professionals should consider providing training on construction workers’ EI and SA to enhance their willingness to expend conscious efforts in complying with safety rules and procedures, which can lead to improved safety outcomes.
Keywords
Citation
Yan, D., Zhao, X., Kalutara, P. and Jiang, Z. (2023), "Modeling antecedents of safety compliance of construction workers in Australia: a perspective of trait activation theory", Engineering, Construction and Architectural Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ECAM-09-2022-0829
Publisher
:Emerald Publishing Limited
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