Optimal Government Strategies for BIM Implementation in Low-Income Economies: A Case Study in Syria
Publication: Journal of Architectural Engineering
Volume 30, Issue 3
Abstract
Building information modeling (BIM) enables substantial improvement in the architecture, engineering, and construction (AEC) industry. As a leading actor in the AEC industry, policymakers have the means to develop appropriate strategies for addressing the factor affecting BIM implementation. However, the lack of empirical investigation on the relationships between factors to implementing BIM and government strategies prevents the strategies from being effective. This study aimed to establish relationships between critical factors and government strategies for implementing BIM using Syria as a case study. A systematic literature review and semistructured interviews with AEC professionals yielded 27 factors and 12 government strategies for implementing BIM. The collected data were analyzed using descriptive statistics, a chi-squared test, exploratory factor analysis (EFA), and partial least-squares structural equation modeling (PLS-SEM). The EFA classified the factors into four underlying constructs (technology, project environment, governmental and organizational, and people) and government strategies into two underlying constructs (soft and hard strategies). The structural equation model revealed that soft strategies positively affect technology, project environment, and people. Moreover, hard strategies positively affect technology. These findings provide new insights into the body of knowledge on optimal government strategies for implementing BIM in low-income economies. Policymakers can use the findings of this study to prioritize efforts and resources when promoting BIM implementation in the local AEC industry.
Practical Applications
This study aimed to establish relationships between critical factors and government strategies for implementing building information modeling (BIM). The findings illustrate that soft strategies positively and substantially affect technology, project environment, and people. Furthermore, hard strategies positively and substantially affect technology. With these findings, policymakers and project stakeholders can make informed decisions on government strategy selection to address the critical factors. At the early stage, executing appropriate strategies saves resources and contributes to implementing BIM successfully. This study provides empirical evidence of the relationships between the critical factors and government strategies for implementing BIM. It provides major areas policymakers can commit resources to enhance and eventually help diffuse BIM across the architecture, engineering, and construction (AEC) industry. It also helps embrace advances in BIM, including digital twins, and improve industry efficiency.
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Data Availability Statements
Some or all data, models, or codes generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions.
Acknowledgments
This work is supported by Universiti Malaysia Pahang (RDU210354). The authors thank the editors and anonymous reviewers whose invaluable comments and suggestions substantially improved the paper’s quality. The authors are also thankful to the industry practitioners who participated in this work.
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Journal of Architectural Engineering
Volume 30 • Issue 3 • September 2024
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Received: Jul 12, 2023
Accepted: Feb 20, 2024
Published online: May 7, 2024
Published in print: Sep 1, 2024
Discussion open until: Oct 7, 2024
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