Author:
Silaparasetti Viswanadham,Srinivasarao G.V.R.,Khan Firdouse Rahman
Abstract
Purpose: The study aims to examine and evaluate the impact of five Occupational Health and Safety (OHS) factors, i.e., Commitment of management, Communication, Training & Education, Health Care and Policies in predicting construction workers’ behavior in construction projects of Oman.Design/methodology/approach: A questionnaire was designed, and data was collectedon arandom sampling basis. Two hundred and fifty-twosamples were collected, and the data was analyzed using Smart PLS -Structural Equation Modeling (SEM) technique.Findings: The study shows thatCommitment of management, Communication, and Training &Educationplays a pivotal role in inspiring the construction workers to improve their perception towards Health and Safety behavior. These factors help in theclear-cut understanding of safety issues and aid in skills development and increase capabilities. All the factors influence the sustainable positive OHS results. Research limitations/Implications: The present study covers only the construction workers. Entire stakeholdersinvolved in construction project (contractors, clients, and consultants) canbe includedfor further studies. Social Implications: The study will help to improve the Health and Safety practices in the construction industry and expected to bring in more awareness among workers, which will inevitably bring in a culture of safe behavior. The ultimate result will be asubstantial reduction or elimination in safety-relatedincidents, which helps all the stakeholders (Contractors, Clients and Consultants).Originality/Value: Only a very few have examined the impact of Occupational Health and Safety factors on the workers’ behavior, and usage of SmartPLS is a novel idea, and it is a first-hand study of its kind.
Publisher
Maya Global Education Society
Subject
General Social Sciences,General Arts and Humanities
Reference35 articles.
1. Akter, S., D’Ambra, J. and Ray, P. (2011), “Trustworthiness in Health Information Services: An Assessment of a Hierarchical Model with Mediating and Moderating Effects Using Partial Least Squares (PLS),” Journal of The American Society for Information Science and Technology, Volume. 62, Issue.1, pp.100–116.
2. Comrey, A. L. (1973), “A first course in factor analysis,” Academic Press, New York, ISBN 13: 9780121835507, New York.
3. Chin, W. (1998), “The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.),” Modern Methods for Business Research, Lawrence Erlbaum Associates Publisher, Mahwah, New Jersey, pp. 295-336.
4. Chin, W., Marcolin, B.L., and Newsted, P.R. (2003), “A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo simulation study and an electronic mail emotion/adoption study,” Information Systems Research, Volume. 14, Issue. 2, pp. 189-217.
5. Fornell, C. and J. Cha (1994), “Partial Least Squares,” Advanced Methods of MarketingResearch, R. P. Bagozzi (ed.), Oxford, Basil Blackwell Ltd, pp. 52-78.
Cited by
16 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献