Work safety behaviour model for improving safety in construction industry using Bayesian Network
The construction industry involves one of the most hazardous occupations for workers due to complex management processes, environmental issues, work pressure and heavy equipment involved in modern construction projects. Despite the advancement of technology and the new approaches which have been...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English English English |
| Published: |
2020
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/4836/1/24p%20CHAHER%20ZID.pdf http://eprints.uthm.edu.my/4836/2/CHAHER%20ZID%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/4836/3/CHAHER%20ZID%20WATERMARK.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The construction industry involves one of the most hazardous occupations for workers
due to complex management processes, environmental issues, work pressure and
heavy equipment involved in modern construction projects. Despite the advancement
of technology and the new approaches which have been developed and adopted to
tackles the accidents in construction industry in Malaysia, an escalating number of
fatal accidents are still occurring because of mainly the human errors and the unsafe
behaviours. In the same vein, improving the safety behaviour became the main
attention of the researchers recently in construction industry to reduce the accidents at
workplace. Therefore, this study determined the key factors and the relationship
between all safety behaviour factors (organizational factors, safety climate factors and
individual factors) in order to build a safety behaviour model for improving safety and
minizing the fatal accidents in the construction industry. In this research, all critical
safety behaviour factors were defined from literature review in order to develop a
comprehensive conceptual framework. After performing the pilot study, defining the
proportionate stratified sampling, the data was collected accordingly from different
construction projects. The key factors, then, were finalised by using explanatory factor
analysis using SPSS. With the assistant of the experts in the safety field and by
applying Dempster and Shafer theory, the structure of Bayesian network was built
accordingly. Furthermore, Netica software embraced the latest shape of developed
safety behaviour model. The developed Bayesian network model elaborated generally
that the individual factors have registred the highest proportion of influence on safety
behaviour while there was a mediocre influence by the safety climate factors. On the
other hand, the safety behaviour received a low influence by the Organizational
factors. Besides, Join Strategy assisted to deduce the best safety behaviour strategy to
upgrade the safety at the workplace in the construction industry.The results revealed
also that learning, safety compliance and safety knowledge have an enormous
influence on safety behaviour and they should be well-taken care by the safety
management to ameliorate the safety at workplace. All in all, safety behaviour can
record a high performance among the workers by promoting these factors. Hence, the
leaders and decision-makers are advised to enhance the organizations’ learning, safety
knowledge and safety compliance to upgrade the safety behaviour of the employees in
the construction site, and therefore this will improve the safety performance and
minimise the fatal accidents in the construction industry. |
|---|