Study of the Influence of Safety Factors by Performing Factor Analysis
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2014 by IJETT Journal|
|Year of Publication : 2014|
|Authors : Abhijith Jacob , Jenson Joseph , Mahesh Rengaraj
Abhijith Jacob , Jenson Joseph , Mahesh Rengaraj. "Study of the Influence of Safety Factors by Performing Factor Analysis", International Journal of Engineering Trends and Technology(IJETT), V9(6),272-276 March 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Averages of 6,000 people die every day as a result of work-related accidents or diseases, totally more than 2.2 million work-related deaths per year. About 350,000 deaths out of this mortality are from workplace accidents and more than 1.7 million are from work related diseases. An effective safety analysis requires attention to human factors as well as system components which makes risky or safe situations in technical components. Paying attention to human factors, organizations with high reliability can recognize hazards before occurrence. One of the most important methods for achievement to this purpose is using leading criteria such as safety climate or safety culture. This is an study report on the study of the influence of safety factors by performing factor analysis at an electrical industry The questionnaire survey was conducted among 60 employees, involving employees from all levels of the organisation. The data collected was subjected to principal component factor analysis with varimax rotation using SPSS software. The results reveal that four distinct factors namely management commitment, worker knowledge, environmental safeness and validation together explains 56.6% of the total variance. Internal consistency (Cronbach Alpha) across items in each of the four factors and that of the total were found to be above 0.7 and thus acceptable.. The questionnaire contained 30 questions to measure the perceptions of the employees about the management practices. Descriptive statistics and correlations of the studied variables were first analyzed. Confirmatory factor analysis was used to verify the reliability of the management practices. Regression analysis was conducted to test the goodness of fit of the various models.
 S.A. Basha, J. Maiti, 2013. Relationships of demographic factors, job risk perception and work injury in a steel plant in India. Safety Science 51, 374–381
 Cox, S., Flin, R., 1998. Safety culture: philosopher’s stone or man of straw? Work and stress 12 (3), 189–201.
 Cox, S.J., Cheyne, A.J.T., 2000. Assessing safety culture in offshore environments. Safety Science 34, 111–129.
 Glendon, A.I., Stanton, N.A., 2000. Perspectives on safety culture. Safety Science 34, 193–214.
 Guldenmund, F.W., 2000. The nature of safety culture: a review of theory and research. Safety Science 34, 215–257.
 Hair, J.F., Anderson, R.E., Tatham, R.L., Black, W.C., 1995. Multivariate data analysis with readings, fourth ed. Prentice-Hall, New Jersey.
 Dr Linda J Bellamy, Bridget A Leathley, and W. Huw Gibson, 1995. Organisational Factors and Safety.
 Marcel Simard, Alain Marchand, 1995. A multilevel analysis of organisational factors related to the taking of safety initiatives by work group, Safety Science 21, 113-129
 M.N. Vinodkumar, M. Bhasi, 2009. Safety climate factors and its relationship with accidents and personal attributes in the chemical industry. Safety Science 47, 659–667
 M.N. Vinodkumar, M. Bhasi, 2010. Safety management practices and safety behaviour: Assessing the mediating role of safety knowledge and motivation. Accident Analysis and Prevention 42, 2082–2093
 Vivek V. Khanzode, J. Maiti, P.K. Ray, 2012. Occupational injury and accident research: A comprehensive review. Safety Science 50 1355–1367
 Zohar, D., 1980. Safety climate in industrial organizations: theoretical and applied implications. Journal of Applied Psychology 65, 96–102.
industrial safety, worker knowledge, management commitment, factor analysis.