A Study on the Influence of Job Stress in Organisational Factors
Citation
Abhijith Jacob, Mahesh Rengaraj"A Study on the Influence of Job Stress in Organisational Factors", International Journal of Engineering Trends and Technology (IJETT), V17(5),225-229 Nov 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Today, occupational accidents are considered among the potential threats because of their serious humanitarian, economic, social, and environmental consequences. Occupational accidents and injuries are the third cause of mortality in world. In addition, the economic and environmental damages because of the occupational accidents are catastrophic too. According to International Labor Organization (ILO) report in 1999 the number of fatal accidents was 335000. Though the registered number of accidents cannot be a faultless account of all the accidents happened, but in 2000, about 12000 work related accidents have been registered by the Department of Social Security. Calculations indicated that approximately 345000 fatal occupational accidents occurred in 1998 and that over 260 million occupational accidents causing at least 3 days absence happened in the same year. This work aims to study the relation of occupational stress of workers and the accidents in a rice milling industry. The data was collected using questionnaire. The questionnaire contained 30 questions to measure the perceptions of the employees about the management practices. A five point likert scale was used. This was prepared based on review of related literature .The contents of this draft questionnaire were discussed with senior professional in the industry. Data was analyzed using IBM SPSS Statistics 20 software. Descriptive statistics and correlations of the studied variables were first analyzed. Confirmatory factor analysis was used to verify the reliability. Regression analysis was conducted to test the goodness of fit of the various models.
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Keywords
industrial safety, occupational stress, accidents, factor analysis