An Interpretive Structural Model to Improve the Safety Performance of Employees of Industrial and Mining Plants in Shahr-e-Babak City, Iran

Today, occupational safety play the vital role to reduce the number of accidents. In other words, it is necessary to pay attention to improving the safety performance of employees in organizations. Indeed, safety performance is part of safety activities, describing the behavioral aspect of employees and being influenced by various factors. The purpose of this research is to provide a structural interpretation model for improving the safety performance behavior of employees in the industrial and mining city of Shahr-e-Babak.

This research was applied in terms of purpose and descriptive in terms of data collection. Prioritization of research variables was performed using a fuzzy hierarchical process (AHP), and interpretive structural modeling was used to identify and develop a model for the association between variables. A pairwise comparison questionnaire was used to prioritize the factors. The statistical population was safety experts. In this study, a purposive sampling method with a sample size of 25 people was used.

According to the results of data analysis, a total of 4 levels (first level: personality traits of conscientiousness; second level: safety climate; third level: safety knowledge, management, attitude, and motivation; fourth level: safety participation, training, and observance) were identified as effective factors in improving safety performance. Based on the results obtained in this study, except for safety participation as one of the dependent variables, all other factors were autonomous variables. These factors had poor conductivity and dependency.

It is concluded that by recognizing the factors affecting the improvement of employee safety performance at different levels of the structural model and considering their impact at each level, it is possible to provide programs to reinforce these factors for improving employee safety performance.