Building Information Modeling�Empowering Construction Projects with End-to-End Life Cycle Management

The construction industry has been significantly transformed by the implementation of Building Information Modeling (BIM), which has facilitated extensive project management capabilities across the entire life cycle. Notwithstanding its advantages, there exist certain limitations that hinder its ext...

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Main Authors: Waqar, A., Othman, I., Hayat, S., Radu, D., Khan, M.B., Galatanu, T.F., Almujibah, H.R., Hadzima-Nyarko, M., Benjeddou, O.
Format: Article
Published: Multidisciplinary Digital Publishing Institute (MDPI) 2023
Online Access:http://scholars.utp.edu.my/id/eprint/37430/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169102201&doi=10.3390%2fbuildings13082041&partnerID=40&md5=3c97fb5eb275b90c7ad79809b0b1b241
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spelling oai:scholars.utp.edu.my:374302023-10-04T12:43:59Z http://scholars.utp.edu.my/id/eprint/37430/ Building Information Modeling�Empowering Construction Projects with End-to-End Life Cycle Management Waqar, A. Othman, I. Hayat, S. Radu, D. Khan, M.B. Galatanu, T.F. Almujibah, H.R. Hadzima-Nyarko, M. Benjeddou, O. The construction industry has been significantly transformed by the implementation of Building Information Modeling (BIM), which has facilitated extensive project management capabilities across the entire life cycle. Notwithstanding its advantages, there exist certain limitations that hinder its extensive implementation. This study aims to investigate the disparities related to the adoption of Building Information Modeling (BIM) by conducting a thorough analysis of factors such as data interoperability, standardization, collaboration, skill gaps, and resistance to change. The data were collected through a preliminary pilot survey and a primary questionnaire. The collected data were then subjected to analysis using two statistical techniques: Exploratory Factor Analysis (EFA) and Partial Least Squares Structural Equation Modeling (PLS-SEM). This study reveals noteworthy associations between the adoption of Building Information Modeling (BIM) and several crucial factors, including Continuous Integration (CI), Monitoring and Control (MC), Project Management (PM), Resolution and Performance (RP), Structural Management (SM), Sustainability Administration (SA), and Value Management (VM). This study provides valuable insights for professionals and policymakers, offering recommendations to enhance the implementation of Building Information Modeling (BIM) and advocating for additional research on complementary factors. Through the identification and subsequent resolution of recognized shortcomings, Building Information Modeling (BIM) can be employed in a proficient manner to augment collaboration, mitigate costs, optimize energy efficiency, and implement sustainable construction methodologies. The present study makes a substantial contribution to the progress of Building Information Modeling (BIM) adoption and the efficient management of construction project life cycles. © 2023 by the authors. Multidisciplinary Digital Publishing Institute (MDPI) 2023 Article NonPeerReviewed Waqar, A. and Othman, I. and Hayat, S. and Radu, D. and Khan, M.B. and Galatanu, T.F. and Almujibah, H.R. and Hadzima-Nyarko, M. and Benjeddou, O. (2023) Building Information Modeling�Empowering Construction Projects with End-to-End Life Cycle Management. Buildings, 13 (8). ISSN 20755309 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169102201&doi=10.3390%2fbuildings13082041&partnerID=40&md5=3c97fb5eb275b90c7ad79809b0b1b241 10.3390/buildings13082041 10.3390/buildings13082041 10.3390/buildings13082041
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description The construction industry has been significantly transformed by the implementation of Building Information Modeling (BIM), which has facilitated extensive project management capabilities across the entire life cycle. Notwithstanding its advantages, there exist certain limitations that hinder its extensive implementation. This study aims to investigate the disparities related to the adoption of Building Information Modeling (BIM) by conducting a thorough analysis of factors such as data interoperability, standardization, collaboration, skill gaps, and resistance to change. The data were collected through a preliminary pilot survey and a primary questionnaire. The collected data were then subjected to analysis using two statistical techniques: Exploratory Factor Analysis (EFA) and Partial Least Squares Structural Equation Modeling (PLS-SEM). This study reveals noteworthy associations between the adoption of Building Information Modeling (BIM) and several crucial factors, including Continuous Integration (CI), Monitoring and Control (MC), Project Management (PM), Resolution and Performance (RP), Structural Management (SM), Sustainability Administration (SA), and Value Management (VM). This study provides valuable insights for professionals and policymakers, offering recommendations to enhance the implementation of Building Information Modeling (BIM) and advocating for additional research on complementary factors. Through the identification and subsequent resolution of recognized shortcomings, Building Information Modeling (BIM) can be employed in a proficient manner to augment collaboration, mitigate costs, optimize energy efficiency, and implement sustainable construction methodologies. The present study makes a substantial contribution to the progress of Building Information Modeling (BIM) adoption and the efficient management of construction project life cycles. © 2023 by the authors.
format Article
author Waqar, A.
Othman, I.
Hayat, S.
Radu, D.
Khan, M.B.
Galatanu, T.F.
Almujibah, H.R.
Hadzima-Nyarko, M.
Benjeddou, O.
spellingShingle Waqar, A.
Othman, I.
Hayat, S.
Radu, D.
Khan, M.B.
Galatanu, T.F.
Almujibah, H.R.
Hadzima-Nyarko, M.
Benjeddou, O.
Building Information Modeling�Empowering Construction Projects with End-to-End Life Cycle Management
author_facet Waqar, A.
Othman, I.
Hayat, S.
Radu, D.
Khan, M.B.
Galatanu, T.F.
Almujibah, H.R.
Hadzima-Nyarko, M.
Benjeddou, O.
author_sort Waqar, A.
title Building Information Modeling�Empowering Construction Projects with End-to-End Life Cycle Management
title_short Building Information Modeling�Empowering Construction Projects with End-to-End Life Cycle Management
title_full Building Information Modeling�Empowering Construction Projects with End-to-End Life Cycle Management
title_fullStr Building Information Modeling�Empowering Construction Projects with End-to-End Life Cycle Management
title_full_unstemmed Building Information Modeling�Empowering Construction Projects with End-to-End Life Cycle Management
title_sort building information modeling�empowering construction projects with end-to-end life cycle management
publisher Multidisciplinary Digital Publishing Institute (MDPI)
publishDate 2023
url http://scholars.utp.edu.my/id/eprint/37430/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169102201&doi=10.3390%2fbuildings13082041&partnerID=40&md5=3c97fb5eb275b90c7ad79809b0b1b241
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