Assessment Framework for BIM-Digital Twin Readiness in the Construction Industry

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 d...

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Main Authors: Aljawharah A. Alnaser, Ali Hassan Ali, Haytham H. Elmousalami, Ahmed Elyamany, Ahmed Gouda Mohamed
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Buildings
Subjects:
Online Access:https://www.mdpi.com/2075-5309/14/1/268
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author Aljawharah A. Alnaser
Ali Hassan Ali
Haytham H. Elmousalami
Ahmed Elyamany
Ahmed Gouda Mohamed
author_facet Aljawharah A. Alnaser
Ali Hassan Ali
Haytham H. Elmousalami
Ahmed Elyamany
Ahmed Gouda Mohamed
author_sort Aljawharah A. Alnaser
collection DOAJ
description 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.
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spelling doaj.art-1fda8fabc54b4a03a55cb13c45f1ce052024-01-29T13:49:37ZengMDPI AGBuildings2075-53092024-01-0114126810.3390/buildings14010268Assessment Framework for BIM-Digital Twin Readiness in the Construction IndustryAljawharah A. Alnaser0Ali Hassan Ali1Haytham H. Elmousalami2Ahmed Elyamany3Ahmed Gouda Mohamed4Department Architecture and Building Sciences, College of Architecture & Planning, King Saud University, Riyadh 11574, Saudi ArabiaDepartment of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong SAR, ChinaGeneral Petroleum Company (GPC), Cairo P.O. Box 743, EgyptDepartment of Civil Engineering, Faculty of Engineering, The British University in Egypt (BUE), El Sherouk City 11837, EgyptDepartment of Civil Engineering, Faculty of Engineering, The British University in Egypt (BUE), El Sherouk City 11837, EgyptThis 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.https://www.mdpi.com/2075-5309/14/1/268sustainable constructiondigital twinsBIMstructural equation modellingSEMdeveloping countries
spellingShingle Aljawharah A. Alnaser
Ali Hassan Ali
Haytham H. Elmousalami
Ahmed Elyamany
Ahmed Gouda Mohamed
Assessment Framework for BIM-Digital Twin Readiness in the Construction Industry
Buildings
sustainable construction
digital twins
BIM
structural equation modelling
SEM
developing countries
title Assessment Framework for BIM-Digital Twin Readiness in the Construction Industry
title_full Assessment Framework for BIM-Digital Twin Readiness in the Construction Industry
title_fullStr Assessment Framework for BIM-Digital Twin Readiness in the Construction Industry
title_full_unstemmed Assessment Framework for BIM-Digital Twin Readiness in the Construction Industry
title_short Assessment Framework for BIM-Digital Twin Readiness in the Construction Industry
title_sort assessment framework for bim digital twin readiness in the construction industry
topic sustainable construction
digital twins
BIM
structural equation modelling
SEM
developing countries
url https://www.mdpi.com/2075-5309/14/1/268
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AT ahmedelyamany assessmentframeworkforbimdigitaltwinreadinessintheconstructionindustry
AT ahmedgoudamohamed assessmentframeworkforbimdigitaltwinreadinessintheconstructionindustry