Journal of Health and Safety at Work

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Introduction: Emotional intelligence as the ability to understand and control feelings and emotions, and job satisfaction as positive attitudes of employees towards their jobs is amongst the effective indicators in the workplaces. Therefore, this research invetigated the effect of emotional intelligence of employees on their job satisfaction in one of the Oil refineries in Tehran.
 

Methods and Materials: This research is a practical and cross-sectional study. The statistical population consisted of 300 employees selected by stratified random sampling method. Bar-On questionnaire (90-item) and JDI questionnaire (70-item) were used in order to measure emotional intelligence and job satisfaction, respectively. LISREL8.72 software was employed to estimate causal effect between study variables and calculation of descriptive indices and comparison of variables were done by means of SPSS software version 18.
 

Results: According to results, there was a direct association between emotional intelligence of employees and their job satisfaction. In other words, the higher emotional intelligence, the higher rate of job satisfaction. Of the 15 sub-scales of emotional intelligence, Responsibility and Self-expression obtained the highest and the lowest scores, respectively. Furthermore, Supervisor and Salaries were ranked as the highest and the lowest valued subscales of job satisfaction. According to the results, employees job satisfaction level are improved in parallel to increase of education level and the maximum score of this variable was belonged to the age group of 30-45 years.}
 

Conclusion: Emotional intelligence, as a psychological variable, affects the worker's job satisfaction. Considering the direct relationship between these two variables, by training and increasing the emotional intelligence of employees, job satisfaction and consequently their efficiency and productivity can be improved in the workplaces.

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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.

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Introduction: Nursing Known as a stressful and overwhelming profession. Due to the stressful nature of the nursing job, nurses experience burnout more than any other occupation, which may affect the quality of health care. Emotional intelligence is one of the important predictors of psychological well-being and it plays an important role as a distinguishing factor for organizational performance and achievement of job success. The purpose of this study was to determine the relationship between emotional intelligence and nurses' personal and occupational characteristics.
 
Material and method:  In this cross-sectional analytical study, 135 nursing staff working in Gonabad hospitals was selected through a census sampling method. Written informed consent of nurses and working in hospitals of Gonabad city were the inclusion criteria and Failure to complete the questionnaires or the questionnaire being confounded or withdrawal from the study was considered as the exclusion criteria. They were evaluated by Shirring Emotional Intelligence Questionnaire and Demographic Information Form. The research data were analyzed using SPSS software version 16, Chi-square test, one-way ANOVA and Pearson correlation coefficient. The significance level was less than 0.05.
Results: In this study72.6% of participants were women. The majority of nurses were married (81.5%) and 87.4% of nursing staff had high emotional intelligence. In this study, there was no significant relationship between individual characteristics and emotional intelligence, but there was a significant association between job characteristics, job shift (P = 0.03) and employment status (P = 0.03) with total emotional intelligence. The results showed that there was a significant relationship between social consciousness with education level (p = 0.019) and employment status (p = 0.001) and there was a significant relationship between social skills with work shift (p = 0.003) and nurses' marital status (p = 0.007)
Conclusion: According to the findings, considering the appropriate job shifts for nurses and formalizing them to create a strong organizational commitment to take benefit of nurses with higher emotional intelligence and this leads to improved performance of nurses.

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Introduction: These days, there is a consensus that emotional intelligence plays an important role in the success of individuals in different areas of life. Persons with higher emotional intelligence had lower stress in dealing with demands and pressures in the workplace. The purpose of this study was to use artificial neural network to predict job stress and to compare the performance of this model with the multivariate regression model.
Material and Methods: In order to do that, 892 participants were selected randomly in different job categories. Then, 15 dimensions of Bar-On questionnaire, 10 job categories, age and education were considered as input variables and 7 dimensions of health and safety executive HSE were determined as output variables in models.
Results: The results revealed that an artificial neural network with hyperbolic tangent and sigmoid transfer functions respectively in hidden and output layers with 375 hidden neurons had significantly better performance than multivariate regression. So that, correlation of predicted values and job stress were only between 0.192-0.364 in regression model, but neural network had at least correlation 0.527 in all dimensions of job stress.
Conclusion: In predicting job stress using emotional intelligence, artificial neural network method was much better than multivariate regression model.