Structural Equation Modeling Analysis Using Smart PLS to Assess the Occupational Health and Safety (OHS) Factors on Workers’ Behavior

Viswanadham Silaparasetti, G. Rao, Firdouse R Khan
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引用次数: 27

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.
基于结构方程模型分析的智能PLS评估职业健康安全(OHS)因素对工人行为的影响
目的:本研究旨在检验和评估管理承诺、沟通、培训与教育、卫生保健和政策五个职业健康与安全(OHS)因素对阿曼建筑项目中建筑工人行为预测的影响。设计/方法/方法:设计问卷,采用随机抽样方式收集数据。采用智能PLS -结构方程建模(SEM)技术对252个样本进行分析。研究发现:管理承诺、沟通承诺和培训教育承诺在激励建筑工人改善健康和安全行为方面发挥了关键作用。这些因素有助于清晰地理解安全问题,并有助于技能开发和提高能力。所有因素都影响可持续的积极OHS结果。研究局限/启示:本研究仅涵盖建筑工人。参与建设项目的所有利益相关者(承包商、客户和顾问)都可以纳入进一步的研究。社会影响:这项研究将有助于改善建筑行业的健康和安全实践,并有望提高工人的意识,这将不可避免地带来安全行为的文化。最终的结果将是大幅减少或消除与安全相关的事件,这对所有利益相关者(承包商、客户和顾问)都有帮助。独创性/价值:只有极少数人研究了职业健康和安全因素对工人行为的影响,而SmartPLS的使用是一个新颖的想法,这是同类研究的第一手资料。
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