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: Shehzad, Hafiz Muhammad Faisal, Ibrahim, Roliana, Mohamed Khaidzir, Khairul Anwar, Maqbool, Fahad, Fuady, Muhammad Jauharul, Ilyas, Muhammad, Yusof, Ahmad Fadhil
Format: Article
Language:English
Published: University of Tehran 2022
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Online Access:http://eprints.utm.my/103313/1/RolianaIbrahim2022_DeterminantsofaBuildingInformationModelingAdoption.pdf
http://eprints.utm.my/103313/
http://dx.doi.org/10.22059/JITM.2022.84885
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spelling my.utm.1033132023-10-31T02:32:05Z http://eprints.utm.my/103313/ Determinants of building information modeling adoption: the case of the Malaysian construction industry Shehzad, Hafiz Muhammad Faisal Ibrahim, Roliana Mohamed Khaidzir, Khairul Anwar Maqbool, Fahad Fuady, Muhammad Jauharul Ilyas, Muhammad Yusof, Ahmad Fadhil QA75 Electronic computers. Computer science 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. University of Tehran 2022 Article PeerReviewed application/pdf en http://eprints.utm.my/103313/1/RolianaIbrahim2022_DeterminantsofaBuildingInformationModelingAdoption.pdf Shehzad, Hafiz Muhammad Faisal and Ibrahim, Roliana and Mohamed Khaidzir, Khairul Anwar and Maqbool, Fahad and Fuady, Muhammad Jauharul and Ilyas, Muhammad and Yusof, Ahmad Fadhil (2022) Determinants of building information modeling adoption: the case of the Malaysian construction industry. Journal of Information Technology Management, 14 (n/a). pp. 57-82. ISSN 2008-5893 http://dx.doi.org/10.22059/JITM.2022.84885 DOI: 10.22059/JITM.2022.84885
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Shehzad, Hafiz Muhammad Faisal
Ibrahim, Roliana
Mohamed Khaidzir, Khairul Anwar
Maqbool, Fahad
Fuady, Muhammad Jauharul
Ilyas, Muhammad
Yusof, Ahmad Fadhil
Determinants of building information modeling adoption: the case of the Malaysian construction industry
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.
format Article
author Shehzad, Hafiz Muhammad Faisal
Ibrahim, Roliana
Mohamed Khaidzir, Khairul Anwar
Maqbool, Fahad
Fuady, Muhammad Jauharul
Ilyas, Muhammad
Yusof, Ahmad Fadhil
author_facet Shehzad, Hafiz Muhammad Faisal
Ibrahim, Roliana
Mohamed Khaidzir, Khairul Anwar
Maqbool, Fahad
Fuady, Muhammad Jauharul
Ilyas, Muhammad
Yusof, Ahmad Fadhil
author_sort Shehzad, Hafiz Muhammad Faisal
title 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_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_sort determinants of building information modeling adoption: the case of the malaysian construction industry
publisher University of Tehran
publishDate 2022
url http://eprints.utm.my/103313/1/RolianaIbrahim2022_DeterminantsofaBuildingInformationModelingAdoption.pdf
http://eprints.utm.my/103313/
http://dx.doi.org/10.22059/JITM.2022.84885
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score 13.160551