Modeling of individual and social factors leading to occupational accidents among workers of Isfahan Steel Company using smartpls3 software

Abstract

Introduction: Human factor can be regarded as the most important and basic factors to cause the occurrence of occupational accidents. Workers' accident-proneness is considered an inherent and coherent feature among these factors, therefore, recognizing its determinants could be effective in preventing such accidents. The present research has been done in among workers of Isfahan Steel Company with the aim of modeling the individual and social factors that affect occupational accidents.

Methods: This analytical and cross-sectional research was conducted in 2018 using structural equation modeling (SEM) with partial least square approach. The sample size of the study 450 people (225 case, and 225 control) esfahansteel company were selected. Data analysis was performed in SPSS-23 and SMARTPLS3.

 Results: The obtained results indicated that the measurement and structural models was fitted.In addition, results demonstrated that all assumptions of the research were significant with the exception of the theory of effect of the relationship between individual factors and accident- proneness.  

Conclusion: The current study showed that people working in this industry became more vulnerable to the incident due to being exposed to stress, effort-reward imbalance and work family conflict and they increased the possibility of incidents and unsafe acts in the industry. Also, by checking the general health and work locus of Control for preventing occupational accidents in the screening process, people with internal control can be selected for stressful occupations.