%0 Journal Article
%A Abu Aisheh, Y.I.
%A Alaloul, W.S.
%A Alhammadi, S.A.
%A Tayeh, B.A.
%D 2023
%F scholars:19447
%J International Journal of Occupational Safety and Ergonomics
%K article; awareness; building industry; exploratory factor analysis; human; human experiment; partial least squares regression; questionnaire; structural equation modeling; building industry; employment; latent class analysis; procedures; safety, Construction Industry; Employment; Humans; Latent Class Analysis; Safety Management; Surveys and Questionnaires
%N 4
%P 1358-1367
%R 10.1080/10803548.2022.2131123
%T Safety management implementation drivers for construction projects: a structural equation modelling approach
%U https://khub.utp.edu.my/scholars/19447/
%V 29
%X The construction industry is one of the hazardous fields due to its exceptional environment. Therefore, this work aimed to assess the essential drivers needed for employing safety management in the Palestinian construction industry. The drivers for safety management were recognized from earlier literature, where the questionnaires were dispersed to professionals from construction projects. The exploratory factor analysis (EFA) technique was then performed to contextually adjust the identified drivers. The results showed that safety management drivers could be categorized into three constructs: management, awareness and policy. In addition, partial least squares structural equation modelling (PLS-SEM) was performed to generate the safety management driver's model. The results indicated that management drivers were vital drivers for adopting safety management. The study's findings would act as a reference for construction stakeholders to decrease danger and enhance the construction project's success via implementing safety management drivers. © 2022 Central Institute for Labour Protection�National Research Institute (CIOP-PIB).
%Z cited By 1