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

Document Type

Article

Source of Publication

Quality and Quantity

Publication Date

10-29-2025

Abstract

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.

ISSN

0033-5177

Publisher

Springer Science and Business Media LLC

Disciplines

Engineering

Keywords

Building information modeling, Computational social science, Dynamic grey relational analysis, Healthcare buildings, Ordinal priority approach

Scopus ID

105020033555

Indexed in Scopus

yes

Open Access

no

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