Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/110134
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Title: Assessment framework for BIM-digital twin readiness in the construction industry
Authors: Alnaser, AA
Ali, AH 
Elmousalami, HH
Elyamany, A
Mohamed, AG
Issue Date: Jan-2024
Source: Buildings, Jan. 2024, v. 14, no. 1, 268
Abstract: This study introduces a pioneering structural equation modeling (SEM)-based framework to assess BIM-DT adoption readiness in sustainable construction. The research’s approach delves into the intricate correlation between key success factors (KSFs) and sustainable parameters (SPs), fostering BIM-DT deployment. This interdisciplinary perspective provides a holistic understanding of the impact of KSFs on BIM-DT adoption. The research aims to identify KSFs and parameters, prioritize their relative weights for BIM-DT implementation, analyze KSFs and SPs correlations, and offer practical insights into the findings. The results revealed the importance of sustainability considerations in BIM-DT adoption, with cost optimization and resource management playing pivotal roles. The findings also revealed that the readiness of the organization to adopt the technology, availability of technology operators, availability of standards and codes for the new technology, availability of knowledge, skills, and competencies to adopt the technology, and availability of funds and financial investment are the top-ranked KSFs contributing to the successful adoption of BIM-DT.
Keywords: BIM
Developing countries
Digital twins
SEM
Structural equation modelling
Sustainable construction
Publisher: MDPI AG
Journal: Buildings 
EISSN: 2075-5309
DOI: 10.3390/buildings14010268
Rights: Copyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Alnaser AA, Hassan Ali A, Elmousalami HH, Elyamany A, Gouda Mohamed A. Assessment Framework for BIM-Digital Twin Readiness in the Construction Industry. Buildings. 2024; 14(1):268 is available at https://doi.org/10.3390/buildings14010268.
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