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Exploring the 4IR Drivers for Sustainable Residential Building Delivery from Social Work Residential Perspective—A Structural Equation Modelling Approach.

Authors :
Oke, Ayodeji Emmanuel
Kineber, Ahmed Farouk
Olanrewaju, Oludolapo Ibrahim
Omole, Olayinka
Jamir Singh, Paramjit Singh
Samsurijan, Mohamad Shaharudin
Ramli, Rosfaraliza Azura
Source :
Sustainability (2071-1050); Jan2023, Vol. 15 Issue 1, p468, 21p
Publication Year :
2023

Abstract

The advent of digitalization has brought many benefits to all sectors of the economy, including construction. When fully implemented, various Fourth Industrial Revolution (4IR) tools have the potential not only to improve project planning and execution, but also to enhance project performance. This study therefore investigated the critical factors for the adoption of 4IR technologies in the construction industry, with the aim of promoting sustainable construction project delivery. The study was conducted using a questionnaire sent to experts in the construction industry. The data collected were analyzed using exploratory factor analysis (EFA) and categorized into operational, management, and demographic variables. Partial Least Square Structural Equation Modeling (PLS-SEM) was used for model development using the four groups of data. In this way, variables that were not significant to the model were identified. Judging from the analysis, there is a need for proper user training in engineering tools in the construction industry. This is one of the drivers of the adoption of 4IR in the construction industry. In addition, the professionals, contractors, authorities, and other stakeholders responsible for managing projects in the architecture, engineering, construction, and operations (AECO) industry should ensure effective coordination and collaboration between participants in the construction industry. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20711050
Volume :
15
Issue :
1
Database :
Complementary Index
Journal :
Sustainability (2071-1050)
Publication Type :
Academic Journal
Accession number :
161187822
Full Text :
https://doi.org/10.3390/su15010468