structural equation modeling modeling (sem) of occupational accidents size based on risk management factors; a field study in process industries

Background: due to high risks for occupational accidents, process industries are one of the most dangerous industries around the world. accidents’ size in these industries are influenced by combination of different factors. objectives: the present study aimed at analyzing and modeling occupational accidents’ size and investigating the role of different risk management factors on accidents’ size in process industries. methods: this analytical study was carried out on accidents in ten process industries, including petrochemicals, refineries, and chemical industries during eight years (2008 to 2015). studied data were included variables and factors of risk management systems and information about human injuring accidents. data analysis and modeling were done based on feature selection by pearson x² coefficient and structural equation modeling (sem) approach using statistical software of ibm spss amos v22.0. results: lost working days (lwd) as index of accident size was estimated 197.42±111.06 days. results of feature selection and sem approach showed that lwdwas affected by different factors such as safety and health (s and h) training, risk management, and risk control, and its indicator variables (p < 0.05). conclusions: the findings implied that structural equation modeling is a reliable and applicable accidents analysis method. furthermore, the results should be considered to prevent and reduce occupational accidents’ size in process industries.