Determinants of Building Information Modeling Adoption: The case of the Malaysian Construction Industry

The Architecture, Engineering, and Construction (AEC) industry rely heavily on Building Information Modeling (BIM). BIM is the collection of Information and Communication Technologies (ICT), interacting policies, and procedures. BIM is a tool for managing digital project data during the life cycle o...

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Main Authors: Hafiz Muhammad Faisal Shehzad, Roliana Ibrahim, Khairul Anwar Mohamed Khaidzir, Fahad Maqbool, Muhammad Jauharul Fuady, Muhammad Ilyas, Ahmad Fadhil bin Yusof
Format: Article
Language:English
Published: University of Tehran 2022-02-01
Series:Journal of Information Technology Management
Subjects:
Online Access:https://jitm.ut.ac.ir/article_84885_53ce4f8c5eff0302f9ad3c3b91b705a3.pdf
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author Hafiz Muhammad Faisal Shehzad
Roliana Ibrahim
Khairul Anwar Mohamed Khaidzir
Fahad Maqbool
Muhammad Jauharul Fuady
Muhammad Ilyas
Ahmad Fadhil bin Yusof
author_facet Hafiz Muhammad Faisal Shehzad
Roliana Ibrahim
Khairul Anwar Mohamed Khaidzir
Fahad Maqbool
Muhammad Jauharul Fuady
Muhammad Ilyas
Ahmad Fadhil bin Yusof
author_sort Hafiz Muhammad Faisal Shehzad
collection DOAJ
description The Architecture, Engineering, and Construction (AEC) industry rely heavily on Building Information Modeling (BIM). BIM is the collection of Information and Communication Technologies (ICT), interacting policies, and procedures. BIM is a tool for managing digital project data during the life cycle of a building. Despite the many benefits and features of BIM, the Malaysian construction industry's proliferation is confronted with adoption issues. Therefore, this research study intends to find the effect of BIM adoption factors in Malaysian AEC. Quantitative data collection from construction firms is gathered. The proposed model's theoretical foundations are based on Technology, Organization Environment framework. The model is tested and validated with the Smart PLS tool. The study's findings indicate that Perceived benefits, Organizational Capabilities, and Trialability are drivers of BIM adoption. Perceived cost and Insecurity are the barriers to BIM adoption. Perceived ease of use and compatibility does not affect BIM adoption. Finally, this study performs Importance Performance Map Analysis to provide recommendations to AEC stakeholders to address the BIM adoption issues for enhancing its diffusion in Malaysia.
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spelling doaj-art-eed3b3b03bb447eab23177a40f8e52392025-08-20T03:09:52ZengUniversity of TehranJournal of Information Technology Management2008-58932423-50592022-02-01145th International Conference of Reliable Information and Communication Technology (IRICT 2020)578210.22059/jitm.2022.8488584885Determinants of Building Information Modeling Adoption: The case of the Malaysian Construction IndustryHafiz Muhammad Faisal Shehzad0Roliana Ibrahim1Khairul Anwar Mohamed Khaidzir2Fahad Maqbool3Muhammad Jauharul Fuady4Muhammad Ilyas5Ahmad Fadhil bin Yusof6School of Computing, University Technology Malaysia, Johor Bahru, Malaysia; Department of Computer Science and IT, University of Sargodha, Sargodha, Pakistan.School of Computing, University Technology Malaysia, Johor Bahru, Malaysia.Department of Architecture, Faculty of Built Environment, University Technology Malaysia.Department of Computer Science and IT, University of Sargodha, Sargodha, PakistanSchool of Computing, University Technology Malaysia, Johor Bahru, Malaysia; Faculty of Engineering, Universitas Negeri Malang,Indonesia.Department of Computer Science and IT, University of Sargodha, Sargodha, Pakistan.School of Computing, University Technology Malaysia, Johor Bahru, Malaysia.The Architecture, Engineering, and Construction (AEC) industry rely heavily on Building Information Modeling (BIM). BIM is the collection of Information and Communication Technologies (ICT), interacting policies, and procedures. BIM is a tool for managing digital project data during the life cycle of a building. Despite the many benefits and features of BIM, the Malaysian construction industry's proliferation is confronted with adoption issues. Therefore, this research study intends to find the effect of BIM adoption factors in Malaysian AEC. Quantitative data collection from construction firms is gathered. The proposed model's theoretical foundations are based on Technology, Organization Environment framework. The model is tested and validated with the Smart PLS tool. The study's findings indicate that Perceived benefits, Organizational Capabilities, and Trialability are drivers of BIM adoption. Perceived cost and Insecurity are the barriers to BIM adoption. Perceived ease of use and compatibility does not affect BIM adoption. Finally, this study performs Importance Performance Map Analysis to provide recommendations to AEC stakeholders to address the BIM adoption issues for enhancing its diffusion in Malaysia.https://jitm.ut.ac.ir/article_84885_53ce4f8c5eff0302f9ad3c3b91b705a3.pdfbuilding information modeling (bim)influencing factorsbim adoption modeltechnology acceptancebim adoption
spellingShingle Hafiz Muhammad Faisal Shehzad
Roliana Ibrahim
Khairul Anwar Mohamed Khaidzir
Fahad Maqbool
Muhammad Jauharul Fuady
Muhammad Ilyas
Ahmad Fadhil bin Yusof
Determinants of Building Information Modeling Adoption: The case of the Malaysian Construction Industry
Journal of Information Technology Management
building information modeling (bim)
influencing factors
bim adoption model
technology acceptance
bim adoption
title Determinants of Building Information Modeling Adoption: The case of the Malaysian Construction Industry
title_full Determinants of Building Information Modeling Adoption: The case of the Malaysian Construction Industry
title_fullStr Determinants of Building Information Modeling Adoption: The case of the Malaysian Construction Industry
title_full_unstemmed Determinants of Building Information Modeling Adoption: The case of the Malaysian Construction Industry
title_short Determinants of Building Information Modeling Adoption: The case of the Malaysian Construction Industry
title_sort determinants of building information modeling adoption the case of the malaysian construction industry
topic building information modeling (bim)
influencing factors
bim adoption model
technology acceptance
bim adoption
url https://jitm.ut.ac.ir/article_84885_53ce4f8c5eff0302f9ad3c3b91b705a3.pdf
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