Volume 22, Issue 1 (2025)
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Ethics code: IR.ACECR.USC.REC.1402.022
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Akhavan A, Rajaee D, Helvani G. The Relationship Between Risk-Taking Components and the Frequency of Human Error in Various Jobs of Employees at Kerman Steel and Rolling. ioh 2025; 22 (1) : 22
URL: http://ioh.iums.ac.ir/article-1-3725-en.html
URL: http://ioh.iums.ac.ir/article-1-3725-en.html
Science and Arts University , akhavan@sau.ac.ir
Abstract: (38 Views)
Background and aims: The industrialization of societies and expansion of communications, while bringing numerous technological and social successes, has not decreased the incidence of human errors. In many cases, these errors have actually increased. Therefore, organizations are obligated to identify factors contributing to these errors and strive to decrease them. This study aims to examine the relationship between components of risk-taking and the frequency of human error across various occupations among employees at the Kerman Steel and Rolling Complex using correlation and regression analysis.
Methods: This research employed a descriptive correlational method. The statistical population comprised all 300 employees of the Kerman Steel and Rolling Complex. Using the Cochran formula, a sample size of 169 was determined and selected through simple random sampling. Data collection utilized a questionnaire consisting of two parts: a risk-taking questionnaire (15 questions) and a human error questionnaire (10 questions). The validity and reliability of the questionnaires were confirmed using Cronbach's alpha, with values of 0.909 for the risk-taking questionnaire and 0.814 for the human error questionnaire. Data analysis was performed using SPSS software.
Results: The research findings revealed significant positive relationships between the inclination to choose difficult goals, the tendency to perform dangerous tasks, and planning for high-risk activities with the frequency of human error. Multiple regression results showed that the selected prediction model was significant at the 0.005 level, establishing a linear relationship between these variables.
Conclusion: Employee risk-taking can be a significant factor influencing the frequency of human error in work environments. These results can help managers and safety officials in better understanding employees' high-risk behaviors, enabling them to implement necessary measures to reduce human errors and enhance workplace safety
Methods: This research employed a descriptive correlational method. The statistical population comprised all 300 employees of the Kerman Steel and Rolling Complex. Using the Cochran formula, a sample size of 169 was determined and selected through simple random sampling. Data collection utilized a questionnaire consisting of two parts: a risk-taking questionnaire (15 questions) and a human error questionnaire (10 questions). The validity and reliability of the questionnaires were confirmed using Cronbach's alpha, with values of 0.909 for the risk-taking questionnaire and 0.814 for the human error questionnaire. Data analysis was performed using SPSS software.
Results: The research findings revealed significant positive relationships between the inclination to choose difficult goals, the tendency to perform dangerous tasks, and planning for high-risk activities with the frequency of human error. Multiple regression results showed that the selected prediction model was significant at the 0.005 level, establishing a linear relationship between these variables.
Conclusion: Employee risk-taking can be a significant factor influencing the frequency of human error in work environments. These results can help managers and safety officials in better understanding employees' high-risk behaviors, enabling them to implement necessary measures to reduce human errors and enhance workplace safety
Article number: 22
Keywords: Risk-Taking Components (D012309), Human Error, Correlation analysis, regression, Occupational Safety, Steel and Rolling
Type of Study: Research |
Subject:
HSE
Received: 2025/02/11 | Accepted: 2025/09/14 | Published: 2025/03/30
Received: 2025/02/11 | Accepted: 2025/09/14 | Published: 2025/03/30
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