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Building Information Modeling Execution Drivers for Sustainable Building Developments

Author

Listed:
  • Ibukun O. Famakin

    (Department of Quantity Surveying, Federal University of Technology Akure, 340110 Akure, Nigeria)

  • Idris Othman

    (Department of Civil & Environmental Engineering, University Technology PETRONAS, Seri Iskandar 32610, Malaysia)

  • Ahmed Farouk Kineber

    (Department of Civil Engineering, College of Engineering in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
    Department of Civil Engineering, Canadian International College (CIC), Zayed Campus, 6th October City, Giza 12577, Egypt)

  • Ayodeji Emmanuel Oke

    (Department of Quantity Surveying, Federal University of Technology Akure, 340110 Akure, Nigeria
    CIDB Centre of Excellence, Faculty of Engineering and Built Environment, University of Johannesburg, Johannesburg 2092, South Africa
    School of Social Sciences, Universiti Sains Malaysia, Penang 11800, Malaysia)

  • Oludolapo Ibrahim Olanrewaju

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

  • Mohammed Magdy Hamed

    (Construction and Building Engineering Department, College of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport (AASTMT), B 2401 Smart Village, Giza 12577, Egypt)

  • Taiwo Matthew Olayemi

    (Department of Quantity Surveying, Federal University of Technology Akure, 340110 Akure, Nigeria)

Abstract

The need for continuous global improvement in the construction industry’s current state is inevitable. This pursuit for advancement is to benefit all concerned stakeholders in the construction industry, and innovation has been acknowledged as this improvement measure. Interestingly, Building Information Model (BIM) is a typical example of such innovation in the construction industry. It circumvents human errors, lessening project costs, strengthening productivity and quality, and reducing the project delivery time. This analysis investigates the factors influencing BIM implementation in construction in developing nations. A comprehensive literature review was performed to determine what factors contribute to BIM adoption. These drivers were categorized using exploratory factor analysis (EFA). Partial Least Square Structural Equation Modeling (PLS-SEM) was also used with a questionnaire survey of 100 Nigerian building engineering professionals. Findings from the model highlight the most critical drivers of sustainable BIM deployment. The study’s conclusion will serve as a guideline for policymakers in developing nations that want to finish successful projects by avoiding BIM implementation drivers and improving the accomplishment of building projects via the usage of BIM.

Suggested Citation

  • Ibukun O. Famakin & Idris Othman & Ahmed Farouk Kineber & Ayodeji Emmanuel Oke & Oludolapo Ibrahim Olanrewaju & Mohammed Magdy Hamed & Taiwo Matthew Olayemi, 2023. "Building Information Modeling Execution Drivers for Sustainable Building Developments," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3445-:d:1067326
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    References listed on IDEAS

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