S. Mahmoudi, I. M. Fam, B. Afsartala, S. Alimohammadzadeh,
Volume 3, Issue 4 (2-2014)
Abstract
Introduction: According to the previous studies, about 90% of accidents in the workplace are due to the unsafe behaviors. In this study, the impact of personality traits, as a predictive factor on the unsafe acts was surveyed in a construction project of a car manufacturing company.
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Material and Method: In this study, personality traits and unsafe behavior rates were determined using NEO-Five Factor Inventory (NEO-FFI) and safety behavior sampling (SBS) technique. The Spearman correlation coefficient was used. To analyze the acquired results, the total population of the project was 243 people.
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Result: The results showed that 31.7% of workers’ behaviors were unsafe behaviors. The correlation between unsafe behaviors and the neuroticism and extroversion were direct and significant (p<0.001).
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Conclusion: Assessment of the personality traits could be used as a predictive tool to identify employees with higher rates of unsafe behaviors and helps planning to reduce the accident rates.
Milad Abbasi, Siavash Etemadinezhad, Ahmad Mehri, Maryam Ghaljahi, Rohollah Fallah Madvari, Roghayeh Jaffari Talaar Poshti,
Volume 10, Issue 2 (5-2020)
Abstract
Introduction: Although noise characteristics such as intensity and frequency are the main cause of detrimental effects, it is important to pay attention to the personality traits of individuals as the host of adverse health effects. The aim of this study was to investigate the effect of personality traits on sensitivity, annoyance and loudness perception due to exposure to high frequency sound.
Material and method: This interventional and experimental study was carried out among 80 undergraduate and postgraduate students in 2017. First, examinee were exposed to a high frequency noise at 65 dBA for one hour in an acoustic room. Then, to determine amount of annoyance, sensitivity, loudness perception and to investigate personality traits, questionnaire of noise annoyance, noise sensitivity, loudness perception and Eysenck personality inventory was used, respectively. Finally, Chi-square, independent t-test and multivariate analysis of variance (MANOVA) were used to data analyze.
Results: The mean±SD of sensitivity, annoyance and loudness perception were 54.08±7.71, 7.0±1.53, and 2.79±1.13, respectively in this study. The mean scores of sensitivity, annoyance and loudness perception were significantly different in terms of personality traits, so that their average was higher in the neurotic and introverted. Based on MANOVA test results, personality traits had a significant effect on sensitivity, annoyance and loudness perception of individuals. In a way, the neuroticism and introversion had the greatest effect on the sensitivity and annoyance, respectively.
Conclusion: The results of this study showed that personality traits such as introversion and neuroticism can affect the sensitivity, annoyance and loudness perception of individuals.
Sima Rafiei, Rohollah Kalhor, Saeed Shahsavari, Saber Souri,
Volume 11, Issue 4 (12-2021)
Abstract
Introduction: Recognizing the personality traits of employees and examining the role of these traits in motivating people’s safety can greatly lead to the formation of safe behavior of employees. Considering the significant importance of reducing adverse events and developing safe behaviors, the present study aimed to investigate the role of nurses’ personality traits in their safety behaviors with the mediating role of safety motivation during 2019-2020.
Material and Methods: This is a descriptive-analytical study conducted among nurses working in educational hospitals affiliated by Qazvin University of Medical Sciences, from which 435 individuals were selected by multi-stage proportional sampling method. Data were collected using McCray and Costa Five-Factor Personality Questionnaire, Saleh Motivation Questionnaire (2010) and Safe Behavior Questionnaire (2016) and analyzed by SPSS software version 26 and AMOS software version 23.
Results: The path coefficients between nurses’ personality traits and their safety motivation (0.557) and safety motivation with safe behavior of individuals (0.267) were statistically significant (p<0.05). Furthermore the path coefficient between nurses’ personality traits and safe behavior (0.573) was statistically significant (p<0.05).
Conclusion: Results affirmed that safety motivation in nurses had a significant effect on their safety behavior. Therefore, it is recommended to improve safety motivation through establishing an incentive systems to appreciate the employees who had an appropriate and safe behavior in the workplace.
Zahra Alizadeh, Mostafa Pouyakian, Koorosh Etemad,
Volume 12, Issue 2 (6-2022)
Abstract
Introduction: Human beings are inherently different and this fact can affect his/her behavior in work environments. The aim of this study was to examine the individual differences of employees (personality traits, biological and demographic factors) as a predictor of unsafe behaviors in a turbine manufacturing company.
Material and Methods: In this cross-sectional study, safety behavior sampling technique, NEO-FFI questionnaire, demographic information questionnaire, BMI and cell type method were used to determine unsafe behaviors, personality traits, demographic variables, body mass index and blood group system, respectively. The statistical sample of the study was 260 employees of a turbine manufacturing industry. The SPSS software version 20 was used to analyze the data.
Results: The results showed that 44.5% of employees’ behaviors were unsafe. There was a significant relationship between the occurrence of unsafe behaviors with smoking, BMI, blood type and neuroticism and agreeableness dimensions measured by NEO-FFI (p < 0.05). BMI was the most important predictorof unsafe behaviors in the present study.
Conclusion: Due to the role of individual differences in people’s tendency to unsafe behaviors, the results of this study can be considered in job design, screening of personnel according to their individual differences, and perform better interventions to prevent accidents at work.
