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BIMp-Chart—A Global Decision Support System for Measuring BIM Implementation Level in Construction Organizations

Author

Listed:
  • Qurratulain Malik

    (Department of Construction Engineering and Management, School of Civil and Environmental Engineering (SCEE), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan)

  • Abdur Rehman Nasir

    (Department of Construction Engineering and Management, School of Civil and Environmental Engineering (SCEE), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan)

  • Rabiah Muhammad

    (Department of Construction Engineering and Management, School of Civil and Environmental Engineering (SCEE), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan)

  • Muhammad Jamaluddin Thaheem

    (Geelong Waterfront Campus, School of Architecture and Built Environment, Locked Bag 20001, Deakin University, Geelong, VIC 3220, Australia)

  • Fahim Ullah

    (School of Civil Engineering and Surveying, University of Southern Queensland, Springfield, QLD 4300, Australia)

  • Khurram Iqbal Ahmad Khan

    (Department of Construction Engineering and Management, School of Civil and Environmental Engineering (SCEE), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan)

  • Muhammad Usman Hassan

    (Department of Construction Engineering and Management, School of Civil and Environmental Engineering (SCEE), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan)

Abstract

Building Information Modeling (BIM) is recognized as one of the most significant technological breakthroughs in the Architecture, Engineering, and Construction (AEC) industry. The pace of implementation of BIM in AEC has increased during the past decade with an enhanced focus on sustainable construction. However, BIM implementation lags its potential because of several factors such as readiness issues, lack of previous experience in BIM, and lack of market demand for BIM. To evaluate and solve these issues, understanding the current BIM implementation in construction organizations is required. Motivated by this need, the main objective of this study is to propose a tool for the measurement of BIM implementation levels within an organization. Various sets of indexes are developed based on their pertinent Critical Success Factors (CSFs). A detailed literature review followed by a questionnaire survey involving 99 respondents is conducted, and results are analyzed to formulate a BIMp-Chart to calculate and visualize the BIM implementation level of an organization. Subsequently, the applicability of the BIMp-Chart is assessed by comparing and analyzing datasets of four organizations from different regions, including Qatar, Portugal, and Egypt, and a multinational organization to develop a global measurement tool. Through measuring and comparing BIM implementation levels, the BIMp-Chart can help the practitioners identify the implementation areas in an organization for proper BIM implementation. This study helps understand the fundamental elements of BIM implementation and provides a decision support system for construction organizations to devise proper strategies for the effectual management of the BIM implementation process.

Suggested Citation

  • Qurratulain Malik & Abdur Rehman Nasir & Rabiah Muhammad & Muhammad Jamaluddin Thaheem & Fahim Ullah & Khurram Iqbal Ahmad Khan & Muhammad Usman Hassan, 2021. "BIMp-Chart—A Global Decision Support System for Measuring BIM Implementation Level in Construction Organizations," Sustainability, MDPI, vol. 13(16), pages 1-25, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9270-:d:616733
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    References listed on IDEAS

    as
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