Showing 7 results for Personality
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Volume 2, Issue 2 (9-2012)
Abstract
Introduction: Every year thousands of people in Iran loss their lives in traffic accidents. Any those accidents, motorcycle accidents are fatal. Safety attitude is a predictor of risky behavior. The purpose of this study was to investigate the relationship between personality, attitudes to safety and risky behaviors.
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Material and Method: In this study 254 motorcycle drivers were randomly selected in Tehran city, and they were asked to complete personality, the attitude to safety and risky behaviors questionnaire.
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Result: A statistically significant correlation was found between different domains of personality (fear, anger, Emotional styles, altruism, anomaly) and attitude to safety (traffic flow in obedience to the law, driving speed, driving excitement), (P = 0/001). Also between personality and attitude to safety the relationship was statistically significant (p = 0/001).
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Conclusion: Attitude to safety is a predictor for risky behavior. Personality also the impact indirectly on the attitude to safety have and risky behaviors.
A. Neissi, E. Hashemi Sheykhshaba, T. Rahimi Pordanjani, N. Arshadi, K. Beshlideh,
Volume 3, Issue 2 (8-2013)
Abstract
Introduction: previous studies have shown approximately 90% of accidents in the workplace are due to unsafe behavior and human errors. Identifying predictors of unsafe behaviors would be unsafe in accidents prevention. The purpose of this study was to investigate personality characteristics, cognitive and organizational variables of line workers in an industrial company in bojnurd.
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Material and Method: The sample, in the main stage, consisted of 300 employees and in the validation stage 100 They were selected thought stratified random sampling. Firstly, participants were divided into two groups (safe and unsafe) using safety behavior scale. Next, each group was evaluated using the five-factor personality questionnaire, safety efficiency questionnaire, regulatory focus at work, safety climate, safety motivation and safety competency scales and also perceived work pressure questionnaire. In order to analyze the data, the discriminate analysis, the confirmatory factor analysis and the Pearson’s correlation coefficient were applied.
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Result: According to the result of the present study, unsafe behaviors of employees can be predicted by neuroticism, extroversion, agreeableness, consciousness, safety efficiency, regulatory focus and its dimensions, safety climate and its dimensions, safety motivation, safety competency and role overload variables.
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Conclusion: The results of this study showed the importance of safety competency, prevention focus, safety rules and procedures, safety efficiency and consciousness as predictors of unsafe work behaviors. Therefore, it is recommended to rely on these variables in the safety training courses and also in selecting people for high risk environments.
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.
Morad Rezaei Dizgah, Fardin Mehrabian, Mohsen Jani Pour,
Volume 8, Issue 1 (4-2018)
Abstract
Introduction: Job Satisfaction is a perception that improves employees’ productivity, motivation and empowers them. Therefore, recognizing the factors affecting it and paying attention to emotional intelligence can provide the basis for increasing job satisfaction.
The purpose of this study was to investigate the effect of emotional intelligence on job satisfaction considering the mediator role of job burnout, emotional Labor, emotional inconsistency, personality deprivation and deficiency of individual success in the Staff of Guilan University of Medical Sciences
Material and Method: This research used descriptive and cross-sectional method. The study population included 413 staffs from the faculties of Guilan University of Medical Sciences. The sample was determined 200 people using Cochran’s formula. A standard questionnaire was used to collect data. Content validity was done for this questionnaire and also its reliability studied using Cronbach’s alpha coefficient. Descriptive statistics and structural equation modeling were used to analyze the data using Lisrel software.
Result: The results showed that emotional intelligence affects emotional inconsistency, emotional exhaustion, emotional Labor, job satisfaction, deficiency of individual success and deprivation of personality. Also, emotional inconsistency affects on emotional exhaustion, deficiency of individual success, job satisfaction and personality deprivation. In addition, the results show that emotional exhaustion affects deprivation of personality, deficiency of individual success and job satisfaction and finally, the deficiency of individual success affects job satisfaction.
Conclusion: Considering the relationship between job satisfaction with job burnout, emotional intelligence and emotional inconsistency, it would be helpful for managers to implement programs to increase employee satisfaction and self-efficacy and provide a context for reducing job burnout.
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.
