Establishing key factors towards implementing integrated Building Information Modeling (BIM) in AEC industry: Malaysia study

Building information modeling (BIM) is a systemic approach that enhances the effectiveness and overall quality of construction projects. Integrated BIM (iBIM) is an advanced state of BIM that integrates and synchronizes disparate project data in a centralized database of reliable, accessible and r...

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Main Authors: AlMashjary, Badr M., Umi Kalsum Zolkafli @ Zulkifly, Asrul Sani Abdul Razak
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2020
Online Access:http://journalarticle.ukm.my/15768/1/430-1570-1-PB.pdf
http://journalarticle.ukm.my/15768/
http://spaj.ukm.my/jsb/index.php/jbp/issue/view/49
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Institution: Universiti Kebangsaan Malaysia
Language: English
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spelling my-ukm.journal.157682020-11-20T16:09:40Z http://journalarticle.ukm.my/15768/ Establishing key factors towards implementing integrated Building Information Modeling (BIM) in AEC industry: Malaysia study AlMashjary, Badr M. Umi Kalsum Zolkafli @ Zulkifly, Asrul Sani Abdul Razak, Building information modeling (BIM) is a systemic approach that enhances the effectiveness and overall quality of construction projects. Integrated BIM (iBIM) is an advanced state of BIM that integrates and synchronizes disparate project data in a centralized database of reliable, accessible and real-time project information. The purpose of this paper is to investigate key factors of iBIM implementation by AEC industry players within the Malaysian context. This study adopted a quantitative method. A questionnaire survey is conducted in Kuala Lumpur, Malaysia, to collect data using 5-level Likert scale questions. The study population was AEC industry players working in firms affiliated with professional institutes in Malaysia. The one-sample T-test and Descriptive Statistics are employed to rank the key factors of iBIM implementation in construction projects. The data were analysed by Statistical Package for the Social Science SPSS software version 20 and Microsoft Excel. It is found that policy factors are the statistically significant factors affecting iBIM implementation in Malaysian construction projects followed by interoperability; learning and education; and finally standardization. Key factors are important as a reference or guideline in advance of selecting the most appropriate framework for achieving successful iBIM implementation in AEC industry. Penerbit Universiti Kebangsaan Malaysia 2020 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/15768/1/430-1570-1-PB.pdf AlMashjary, Badr M. and Umi Kalsum Zolkafli @ Zulkifly, and Asrul Sani Abdul Razak, (2020) Establishing key factors towards implementing integrated Building Information Modeling (BIM) in AEC industry: Malaysia study. Journal of Building Performance, 11 (1). pp. 117-126. ISSN 2180-2106 http://spaj.ukm.my/jsb/index.php/jbp/issue/view/49
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Building information modeling (BIM) is a systemic approach that enhances the effectiveness and overall quality of construction projects. Integrated BIM (iBIM) is an advanced state of BIM that integrates and synchronizes disparate project data in a centralized database of reliable, accessible and real-time project information. The purpose of this paper is to investigate key factors of iBIM implementation by AEC industry players within the Malaysian context. This study adopted a quantitative method. A questionnaire survey is conducted in Kuala Lumpur, Malaysia, to collect data using 5-level Likert scale questions. The study population was AEC industry players working in firms affiliated with professional institutes in Malaysia. The one-sample T-test and Descriptive Statistics are employed to rank the key factors of iBIM implementation in construction projects. The data were analysed by Statistical Package for the Social Science SPSS software version 20 and Microsoft Excel. It is found that policy factors are the statistically significant factors affecting iBIM implementation in Malaysian construction projects followed by interoperability; learning and education; and finally standardization. Key factors are important as a reference or guideline in advance of selecting the most appropriate framework for achieving successful iBIM implementation in AEC industry.
format Article
author AlMashjary, Badr M.
Umi Kalsum Zolkafli @ Zulkifly,
Asrul Sani Abdul Razak,
spellingShingle AlMashjary, Badr M.
Umi Kalsum Zolkafli @ Zulkifly,
Asrul Sani Abdul Razak,
Establishing key factors towards implementing integrated Building Information Modeling (BIM) in AEC industry: Malaysia study
author_facet AlMashjary, Badr M.
Umi Kalsum Zolkafli @ Zulkifly,
Asrul Sani Abdul Razak,
author_sort AlMashjary, Badr M.
title Establishing key factors towards implementing integrated Building Information Modeling (BIM) in AEC industry: Malaysia study
title_short Establishing key factors towards implementing integrated Building Information Modeling (BIM) in AEC industry: Malaysia study
title_full Establishing key factors towards implementing integrated Building Information Modeling (BIM) in AEC industry: Malaysia study
title_fullStr Establishing key factors towards implementing integrated Building Information Modeling (BIM) in AEC industry: Malaysia study
title_full_unstemmed Establishing key factors towards implementing integrated Building Information Modeling (BIM) in AEC industry: Malaysia study
title_sort establishing key factors towards implementing integrated building information modeling (bim) in aec industry: malaysia study
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2020
url http://journalarticle.ukm.my/15768/1/430-1570-1-PB.pdf
http://journalarticle.ukm.my/15768/
http://spaj.ukm.my/jsb/index.php/jbp/issue/view/49
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