Introduction: An increasing number of ethnic minorities (EMs) have been employed in the construction industry to alleviate severe labor shortages in many countries. Unfortunately, statistics show that EMs have higher fatal and non-fatal occupational injury rates than their local counterparts. However, EMs are often underrepresented in safety climate (SC) research as they are difficult to reach and gauge their perception. A positive relationship has been widely found between SC and safety performance. Understanding the safety perceptions of EMs helps to reduce injuries and improve their safety performance.
Method: Based on a sample of 320 EMs from 20 companies in the construction industry, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to identify the SC factors of EMs, and validate the extracted factors, respectively. Multivariate analysis of variance was undertaken to examine mean differences in perceptions of SC by personal characteristics.
Results: Three SC factors for EMs encapsulating 16 variables were identified through EFA. The hypothesized CFA model for a three-factor structure derived from EFA showed a satisfactory goodness-of-fit, composite reliability, and construct validity.
Conclusions: Three SC factors were identified, namely: (a) safety management commitment, safety resources, and safety communication; (b) employee's involvement and workmate's influence; and (c) perception of safety rules, procedures and risks. The perceptions of SC differed significantly by nationality, marital status, the number of family members supported, and drinking habit.
Practical Applications: This study reveals the perception of EMs toward SC. The findings highlight the areas for safety improvement and provide leading indicators for safety performance of EMs. The findings are also enlightening for countries with a number of EMs, such as the United Sates, the United Kingdom, Australia, Singapore, and the Middle East.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jsr.2017.08.006 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Virtual Reality Training System (VRTS) has been verified effective in safety training in the construction field. However, in China, it is not widely used as a regular training tool. Among all the reasons, the acceptance level of construction workers (CWs) has the decisive impact on the promotion of VRTS.
View Article and Find Full Text PDFSimple synthesis of graphene oxide-supported and phosphorylated chitosan gel bead to uptake uranium from wastewater.
Int J Biol Macromol
December 2024
State Key Laboratory of Environment-friendly Energy Materials, Sichuan Co-Innovation Center for New Energetic Materials, CAEA Innovation Center of Nuclear Environmental Safety Technology, School of National Defence Science & Technology, Southwest University of Science and Technology, Mianyang 621010, China.
With the development of the nuclear industry, the direct discharge of uranium-containing wastewater has become increasingly harmful to the environment. A novel graphene oxide-supported and phosphoric-crosslinked chitosan gel bead (C-PGCB) with excellent uranium uptake capability was successfully fabricated to treat uranium-containing wastewater. The experimental results showed that the introduction of PO and CO bonds through phosphoric acid crosslinking could greatly improve the capturing ability of chitosan-based materials, which could reach 97.
View Article and Find Full Text PDFPublic health perspectives on green efficiency through smart cities, artificial intelligence for healthcare and low carbon building materials.
Front Public Health
January 2025
School of Fine Art and Design, Guangzhou University, Guangzhou, China.
Introduction: Smart cities, artificial intelligence (AI) in healthcare, and low-carbon building materials are pivotal to public health, environmental sustainability, and green efficiency. Despite their critical importance, understanding public perceptions and attitudes toward these domains remains underexplored. Additionally, the effective use of advanced technologies like convolutional neural networks (CNN) in predicting and promoting low-carbon solutions in construction is gaining attention.
View Article and Find Full Text PDFDeployment of Industry 4.0 technologies to achieve a circular economy in agri-food supply chains: A thorough analysis of enablers.
J Environ Manage
December 2024
School of Economics and Management, Fuzhou University, Fuzhou, China. Electronic address:
With the global population projected to reach 9.7 billion by 2050, pressure on global natural resources will increase by 50-90%, exceeding planetary boundaries. Industry 4.
View Article and Find Full Text PDFAnalysis of the spatiotemporal evolution of birth rates and influencing factors in the Yangtze River Basin.
PLoS One
December 2024
School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan, Hubei, China.
The declining birth rate is one of the world's major challenges. There is much literature on birth rate research in China. However, there are few studies on spatial distribution and influencing factors of birth rate in the Yangtze River Basin.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!