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

Author

Listed:
  • Ayodeji Emmanuel Oke

    (Department of Quantity Surveying, Federal University of Technology Akure, Akure 340110, Nigeria
    School of Social Sciences, Universiti Sains Malaysia, Penang 11800, Malaysia)

  • Ahmed Farouk Kineber

    (Department of Civil Engineering, College of Engineering in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia)

  • Oludolapo Ibrahim Olanrewaju

    (Wellington School of Architecture, Victoria University of Wellington, Wellington 6140, New Zealand)

  • Olayinka Omole

    (Irene Construction Science Division, Christopher Gibbs College of Architecture, University of Oklahoma, Norman, OK 73019, USA)

  • Paramjit Singh Jamir Singh

    (School of Social Sciences, Universiti Sains Malaysia, Penang 11800, Malaysia)

  • Mohamad Shaharudin Samsurijan

    (School of Social Sciences, Universiti Sains Malaysia, Penang 11800, Malaysia)

  • Rosfaraliza Azura Ramli

    (College of Law, Government and International Studies, School of Government, Universiti Utara Malaysia, Changlun 06050, Malaysia)

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.

Suggested Citation

  • Ayodeji Emmanuel Oke & Ahmed Farouk Kineber & Oludolapo Ibrahim Olanrewaju & Olayinka Omole & Paramjit Singh Jamir Singh & Mohamad Shaharudin Samsurijan & Rosfaraliza Azura Ramli, 2022. "Exploring the 4IR Drivers for Sustainable Residential Building Delivery from Social Work Residential Perspective—A Structural Equation Modelling Approach," Sustainability, MDPI, vol. 15(1), pages 1-21, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:468-:d:1017057
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    References listed on IDEAS

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