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Modeling antecedents of safety compliance of construction workers in Australia: A perspective of trait activation theory

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Version 2 2025-02-18, 02:32
Version 1 2025-02-17, 01:56
journal contribution
posted on 2025-02-18, 02:32 authored by Diya YanDiya Yan, Xianbo ZhaoXianbo Zhao, Pushpitha KalutaraPushpitha Kalutara, Zhou Jiang
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 emotional intelligence (EI) and situational awareness (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.

History

Volume

32

Issue

2

Start Page

1141

End Page

1162

Number of Pages

22

eISSN

1365-232X

ISSN

0969-9988

Publisher

Emerald

Additional Rights

CC BY-NC 4.0 (AAM)

Language

en

Peer Reviewed

  • Yes

Open Access

  • Yes

Acceptance Date

2023-08-18

External Author Affiliations

RMIT University

Era Eligible

  • Yes

Journal

Engineering, Construction and Architectural Management

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