Affiliations: [a] Department of Industrial Engineering and Management, Indian Institute of Technology, Kharagpur, West Bengal, India | [b] Division of Production and Industrial Engineering, Department of Mechanical Engineering, SCMS School of Engineering and Technology, Karukutty, Kerala, India | [c] Department of Safety and Fire Engineering, Cochin University of Science and Technology, Kerala, India
Correspondence:
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Address for correspondence: Dr. Balagopal G. Menon, Division of Production and Industrial Engineering, Department of Mechanical Engineering, SCMS School of Engineering and Technology, Karukutty, Kerala, India. Tel.: +91 0484 2233599; E-mail: [email protected]
Abstract: BACKGROUND:Job stress is one of the active research domains in industrial safety research. The job stress can result in accidents and health related issues in workers in chemical process industries. Hence it is important to measure the level of job stress in workers so as to mitigate the same to avoid the worker’s safety related problems in the industries. OBJECTIVE:The objective of this study is to determine the job stress factors in the chemical process industry in Kerala state, India. This study also aims to propose a comprehensive model and an instrument framework for measuring job stress levels in the chemical process industries in Kerala, India. METHODS:The data is collected through a questionnaire survey conducted in chemical process industries in Kerala. The collected data out of 1197 surveys is subjected to principal component and confirmatory factor analysis to develop the job stress factor structure. RESULTS:The factor analysis revealed 8 factors that influence the job stress in process industries. It is also found that the job stress in employees is most influenced by role ambiguity and the least by work environment. CONCLUSIONS:The study has developed an instrument framework towards measuring job stress utilizing exploratory factor analysis and structural equation modeling.
Keywords: Role ambiguity, role conflict, physical work factors, working environment, structural equation modeling
