Abstract
Background: Offshore oil and gas platforms have a high potential for major accidents due to sensitive operational conditions. Safety climate and leadership style have been identified as two key factors in the occurrence of unsafe behaviors. This study aimed to modeling the occurrence of unsafe behaviors based on dimensions of safety climate and organizational leadership style in oil platforms using fuzzy logic approach.Methods: This cross-sectional and modeling study was conducted in 2019 among five oil platforms located in the Persian Gulf. The sample size was 291 employees. To measure organizational leadership style and safety climate, multifactor leadership and standard occupational safety climate questionnaires were used, respectively. To determine unsafe behaviors, a checklist of unsafe acts was used. Data analysis was performed using one-way ANOVA and Pearson correlation coefficients in SPSS version 25. Fuzzy logarithmic model and MATLAB software were used for modeling.Results: There was a significant inverse relationship between transformational and transactional leadership style and the occurrence of unsafe behaviors. Moreover, finding revealed that there was a significant correlation between the dimensions of safety of workplace and the neglecting dangers and the occurrence of unsafe behaviors (P-value< 0.05). The results of the fuzzy logarithmic model also showed that mentioned parameters are important risk factors for predicting the occurrence of unsafe behaviors in oil platforms.Conclusion: Findings revealed that transformational and transactional leadership styles, safety of workplace and neglecting dangers in oil platforms are among important factors in the occurrence of unsafe behaviors. Using fuzzy logarithmic models can also be an effective way to predict and control the occurrence of unsafe behaviors in oil platforms.
Modeling the occurrence of unsafe behaviors based on dimensions of safety climate and organizational leadership style in oil platforms using fuzzy logic approach
