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<p>This study aims to identify and evaluate the critical success factors (CSFs) for implementing building information modeling (BIM) in healthcare facilities. A multi-model framework involving the analytical ordinal priority approach (OPA) and the dynamic grey relational analysis (GRA) was employed. The OPA was used to determine the objective weights of the CSFs, while the dynamic GRA was used to estimate the grey relational grades. Later, based on the data collected from BIM instructors, both methods were used to assess the relative significance of the factors. The rank product score was used to classifying the factors. The findings identify “top management support” as the most critical factor, followed by “clear BIM objectives” and “regulatory compliance.” In contrast, “change management” and “supplier and manufacturer engagement” were found to be relatively the least crucial factors. The results underscore that successful BIM implementation in healthcare is primarily a strategic and regulatory endeavor rather than a purely technological one. This study provides healthcare stakeholders and policymakers with a validated, prioritized roadmap to strategically allocate resources and enhance the likelihood of BIM success, ultimately leading to safer and more efficient healthcare facilities.</p>

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Evaluating the critical factors of building information modeling implementation using ordinal priority approach and grey relational analysis

  • 期刊论文

  • 发表日期：

    2025年10月29日

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  • Saima Khan,
  • Ghulam Abbas Bhatti,
  • Muhammad Jamshed Khan,
  • Muhammad Nawaz

摘要

This study aims to identify and evaluate the critical success factors (CSFs) for implementing building information modeling (BIM) in healthcare facilities. A multi-model framework involving the analytical ordinal priority approach (OPA) and the dynamic grey relational analysis (GRA) was employed. The OPA was used to determine the objective weights of the CSFs, while the dynamic GRA was used to estimate the grey relational grades. Later, based on the data collected from BIM instructors, both methods were used to assess the relative significance of the factors. The rank product score was used to classifying the factors. The findings identify “top management support” as the most critical factor, followed by “clear BIM objectives” and “regulatory compliance.” In contrast, “change management” and “supplier and manufacturer engagement” were found to be relatively the least crucial factors. The results underscore that successful BIM implementation in healthcare is primarily a strategic and regulatory endeavor rather than a purely technological one. This study provides healthcare stakeholders and policymakers with a validated, prioritized roadmap to strategically allocate resources and enhance the likelihood of BIM success, ultimately leading to safer and more efficient healthcare facilities.