AUTHENTICATION STUDY ON CHARACTERISTICS OF SAFETY MANAGEMENT CUSTOMS IN CONSTRUCTION ENGINEERING
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2020 by IJETT Journal|
|Year of Publication : 2020|
|Authors : V. Thirugnana Sambandan, T. Felix Kala, S. Nallusamy
|DOI : 10.14445/22315381/IJETT-V68I8P214S|
MLA Style: V. Thirugnana Sambandan, T. Felix Kala, S. Nallusamy "AUTHENTICATION STUDY ON CHARACTERISTICS OF SAFETY MANAGEMENT CUSTOMS IN CONSTRUCTION ENGINEERING" International Journal of Engineering Trends and Technology 68.8(2020):75-79.
APA Style:V. Thirugnana Sambandan, T. Felix Kala, S. Nallusamy . AUTHENTICATION STUDY ON CHARACTERISTICS OF SAFETY MANAGEMENT CUSTOMS IN CONSTRUCTION ENGINEERING International Journal of Engineering Trends and Technology, 68(8),75-79.
Comprehensive safety management system is an integral part of prevailing safety culture of any organisation. However, the Safety Management System (SMS) and good safety practices may vary at every national, regional and organisational level for various reasons. A well poised and consummate safety management system will certainly reduce the frequency and occurrence of untoward incidents at work place. The aim of the research is to investigate the prevailing factor structure for SMS and to test the efficacy of factor structure for appropriateness of the construction safety management systems and best practices. This cross-sectional study used questionnaire survey consisting 14 variables which were used in previous studies to measure the strategic and operational constructs of SMS. The modified SMS questionnaire was administered to 130 respondents working at various construction sites in Chennai, India. The respondents were engineers and supervisors having good degree of exposure with construction engineering background. Both exploratory and confirmatory factor analyses were performed and analysed the results statistically. Five out of fourteen variables were dropped to achieve good factor structure after performing Exploratory Factor Analysis (EFA) using Statistical Package for the Social Sciences (SPSS). Confirmatory Factor Analysis (CFA) was carried out using Analysis of Moment Structures (AMOS). The results revealed acceptable model fit indices for the SMS factor structure under examination.
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Safety Management, Construction Engineering, Factor Analysis, Safety, Training