New model for identifying critical success factors influencing BIM adoption from precast concrete manufacturers' view

The construction industry is embracing the digital transformation to streamline the process from design to build. However, compared with design companies, precast concrete (PC) companies seem to be slow in the adoption of building information modeling (BIM). The paper thus intends to (1) understand...

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Main Authors: Phang, Thomas C. H., Chen, Chen, Tiong, Robert Lee Kong
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/159622
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1596222022-06-30T04:38:55Z New model for identifying critical success factors influencing BIM adoption from precast concrete manufacturers' view Phang, Thomas C. H. Chen, Chen Tiong, Robert Lee Kong School of Civil and Environmental Engineering Engineering::Civil engineering Building Information Modeling Precast Concrete Manufacturer The construction industry is embracing the digital transformation to streamline the process from design to build. However, compared with design companies, precast concrete (PC) companies seem to be slow in the adoption of building information modeling (BIM). The paper thus intends to (1) understand the current BIM maturity levels in these companies via a survey among the PC companies; (2) develop a model for identifying critical success factors (CSFs) influencing BIM adoption from PC companies' view; and (3) give recommendations to the PC companies as well as policymakers. From the survey responses of 53 respondents from the PC industry in various countries including Association of Southeast Asian Nations (ASEAN) countries, China, Korea, Taiwan, the Middle East, and Finland, the study successfully identified a total of eight CSFs, which are regarded as the main contributions this research makes to the body of knowledge. Based on these CSFs, recommendations are provided to assist PC companies to become industry innovators. Some additional contributions are (1) a new BIM adoption model, which is a mix of a BIM maturity model and a BIM adopters' model and acted on by driving forces; (2) a new framework (called "PCBIM Hexagon" by the authors) consisting of driving forces from six areas: The government, ecosystem, company, team, process, and BIM software tool; and (3) a new approach for ranking the importance of the factors. 2022-06-29T05:39:14Z 2022-06-29T05:39:14Z 2020 Journal Article Phang, T. C. H., Chen, C. & Tiong, R. L. K. (2020). New model for identifying critical success factors influencing BIM adoption from precast concrete manufacturers' view. Journal of Construction Engineering and Management, 146(4), 04020014-. https://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0001773 0733-9364 https://hdl.handle.net/10356/159622 10.1061/(ASCE)CO.1943-7862.0001773 2-s2.0-85078224520 4 146 04020014 en Journal of Construction Engineering and Management © 2020 American Society of Civil Engineers. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
Building Information Modeling
Precast Concrete Manufacturer
spellingShingle Engineering::Civil engineering
Building Information Modeling
Precast Concrete Manufacturer
Phang, Thomas C. H.
Chen, Chen
Tiong, Robert Lee Kong
New model for identifying critical success factors influencing BIM adoption from precast concrete manufacturers' view
description The construction industry is embracing the digital transformation to streamline the process from design to build. However, compared with design companies, precast concrete (PC) companies seem to be slow in the adoption of building information modeling (BIM). The paper thus intends to (1) understand the current BIM maturity levels in these companies via a survey among the PC companies; (2) develop a model for identifying critical success factors (CSFs) influencing BIM adoption from PC companies' view; and (3) give recommendations to the PC companies as well as policymakers. From the survey responses of 53 respondents from the PC industry in various countries including Association of Southeast Asian Nations (ASEAN) countries, China, Korea, Taiwan, the Middle East, and Finland, the study successfully identified a total of eight CSFs, which are regarded as the main contributions this research makes to the body of knowledge. Based on these CSFs, recommendations are provided to assist PC companies to become industry innovators. Some additional contributions are (1) a new BIM adoption model, which is a mix of a BIM maturity model and a BIM adopters' model and acted on by driving forces; (2) a new framework (called "PCBIM Hexagon" by the authors) consisting of driving forces from six areas: The government, ecosystem, company, team, process, and BIM software tool; and (3) a new approach for ranking the importance of the factors.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Phang, Thomas C. H.
Chen, Chen
Tiong, Robert Lee Kong
format Article
author Phang, Thomas C. H.
Chen, Chen
Tiong, Robert Lee Kong
author_sort Phang, Thomas C. H.
title New model for identifying critical success factors influencing BIM adoption from precast concrete manufacturers' view
title_short New model for identifying critical success factors influencing BIM adoption from precast concrete manufacturers' view
title_full New model for identifying critical success factors influencing BIM adoption from precast concrete manufacturers' view
title_fullStr New model for identifying critical success factors influencing BIM adoption from precast concrete manufacturers' view
title_full_unstemmed New model for identifying critical success factors influencing BIM adoption from precast concrete manufacturers' view
title_sort new model for identifying critical success factors influencing bim adoption from precast concrete manufacturers' view
publishDate 2022
url https://hdl.handle.net/10356/159622
_version_ 1738844961235795968