نشریه بین المللی

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The main aim of the current study was to examine the relationships between job involvement, responsibility and job satisfaction with job burnout. A sample of 180 workers at Arak Aluminum Factory completed Kanungo Job Involvement Scale, Maslach and Jackson Job Burnout Inventory, Spector Job Satisfaction Survey and California Personality Inventory (CPI). Analysis of data by Pearson moment correlation coefficient statistical analysis indicated that there were significant statistical relationships among the four variables of the study. Also, regression analysis indicated that a linear combination of predictor variables of job involvement, job satisfaction and responsibility was able to predict31.8% of changes in the criterion variable of emotional exhaustion as the main component of job burnout. Also, job involvement and job satisfaction had the highest role in predicting the emotional exhaustionThe main aim of the current study was to examine the relationships between job involvement, responsibility and job satisfaction with job burnout. A sample of 180 workers at Arak Aluminum Factory completed Kanungo Job Involvement Scale, Maslach and Jackson Job Burnout Inventory, Spector Job Satisfaction Survey and California Personality Inventory (CPI). Analysis of data by Pearson moment correlation coefficient statistical analysis indicated that there were significant statistical relationships among the four variables of the study. Also, regression analysis indicated that a linear combination of predictor variables of job involvement, job satisfaction and responsibility was able to predict31.8% of changes in the criterion variable of emotional exhaustion as the main component of job burnout. Also, job involvement and job satisfaction had the highest role in predicting the emotional exhaustionThe main aim of the current study was to examine the relationships between job involvement, responsibility and job satisfaction with job burnout. A sample of 180 workers at Arak Aluminum Factory completed Kanungo Job Involvement Scale, Maslach and Jackson Job Burnout Inventory, Spector Job Satisfaction Survey and California Personality Inventory (CPI). Analysis of data by Pearson moment correlation coefficient statistical analysis indicated that there were significant statistical relationships among the four variables of the study. Also, regression analysis indicated that a linear combination of predictor variables of job involvement, job satisfaction and responsibility was able to predict31.8% of changes in the criterion variable of emotional exhaustion as the main component of job burnout. Also, job involvement and job satisfaction had the highest role in predicting the emotional exhaustion