Technical Papers
Jul 23, 2022

BIM Critical-Success Factors in the Design Phase and Risk Management: Exploring Knowledge and Maturity Mediating Effect

Publication: Journal of Construction Engineering and Management
Volume 148, Issue 10

Abstract

The effective use of building information modeling (BIM) in the design phase generates countless benefits that contribute to risk management (RM). However, a better understanding of the relationship between the critical-success factors (CSFs) in the design phase has not yet been addressed. This study aims to investigate the influence of BIM CSFs in the design phase in the RM process, exploring the mediating effect played by BIM knowledge, RM knowledge, and BIM maturity. The research design applies the partial least-squares structural equation modeling technique, and the variables were collected by a survey with a sample of 195 respondents from different countries. The results pointed out that earlier and accurate three-dimensional (3D) visualization of the design was the top-ranked recognized design factor in the use of BIM. The findings also indicated that BIM design CSFs have a positive impact on the RM process. Furthermore, there is a positive and significant indirect effect of BIM knowledge, RM knowledge, and BIM maturity through the path of BIM Design CSF on RM.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. The only data not presented in total are the answers of each respondent separately.

Acknowledgments

This research was supported by the National Council for Scientific and Technological Development (CNPq), Coordination for the Improvement of Higher Education Personnel (CAPES) and the Foundation for Research Support of the State of São Paulo (FAPESP).

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 148Issue 10October 2022

History

Received: Nov 17, 2021
Accepted: Apr 18, 2022
Published online: Jul 23, 2022
Published in print: Oct 1, 2022
Discussion open until: Dec 23, 2022

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Tássia Farssura Lima da Silva, Ph.D. https://orcid.org/0000-0002-9807-8767 [email protected]
Dept. of Civil Engineering, Univ. of São Paulo, São Paulo 05508-010, Brazil (corresponding author). ORCID: https://orcid.org/0000-0002-9807-8767. Email: [email protected]
Marly Monteiro de Carvalho [email protected]
Full Professor and Head of the Production Engineering Department, Dept. of Production Engineering, Univ. of São Paulo, São Paulo 05508-900, Brazil. Email: [email protected]
Darli Rodrigues Vieira [email protected]
Professor, Dept. of Management, Université du Québec à Trois-Rivières, 3351, Boul. des Forges, Trois-Rivières, QC, Canada G8Z 4M3. Email: [email protected]

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Cited by

  • Framework of BIM-Based Quantitative Evaluation for Enhancing Fire Safety Performance of Buildings, Journal of Management in Engineering, 10.1061/JMENEA.MEENG-5709, 40, 1, (2024).
  • An Integrated Assessment Framework of Economic, Environmental, and Human Health Impacts Using Scan-to-BIM and Life-Cycle Assessment in Existing Buildings, Journal of Management in Engineering, 10.1061/JMENEA.MEENG-5600, 39, 5, (2023).
  • Deep Learning–Based Automated Generation of Material Data with Object–Space Relationships for Scan to BIM, Journal of Management in Engineering, 10.1061/JMENEA.MEENG-5143, 39, 3, (2023).

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