|Title||Prospective Safety Performance in Construction Industries in Nepal|
Name: Dinesh Sukamani
Org: Ph.D. Candidate, School of Civil Engineering and Architecture, Wuhan University of Technology, Hubei Province, Wuhan City, China
Name: Junwu Wang
Org: Professor, School of Civil Engineering and Architecture, Wuhan University of Technology, Hubei Province, Wuhan City, China
|Contact Author||Author #1|
Alt Email: firstname.lastname@example.org
|Keywords||Safety performance evaluation, PLS-SEM, Smart PLS, Measurement and structure model.|
|Abstract||This research concentrates on exploring systematic partial least squares structural equation modeling (PLSSEM) for Prospective Safety Performance Evaluation (PSPE) in construction industry, showing causal
relationships along with interactions within enablers and goals of PSPE which are taken into account. A questionnaire survey has been selected to test the conceptual model as the methodology with 135 valid respondents among three levels of construction; namely: private, public and International Non-Governmental Organizations (INGOs) construction industry. The value of R2 for the endogenous latent variable is 0.532. The higher beta value is 0.288 along with a t- value of 4.350, which indicates that safety culture is strongly
proportional to safety performance on the site more than any other construct factor. Moreover, private construction with a value of 0.355 ranged in II (Good), public construction with value of 0.316 ranged in III (Fair) and INGO construction with a value of 0.374 ranged in II (Good) range as per Maximum Degree of Membership (MDM) principle. As per the evaluation results, the variation in various construction industry categories in the safety performance practice is analyzed and compared. This research can facilitate the advancement of safety performance in construction industries, as it provides clear insights into the cause-effect relationship of safety performance factors and goals.
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