Adoption of building information modeling in Chinese construction industry: The technology-organization-environment framework. Issue 9 (21st October 2019)
- Record Type:
- Journal Article
- Title:
- Adoption of building information modeling in Chinese construction industry: The technology-organization-environment framework. Issue 9 (21st October 2019)
- Main Title:
- Adoption of building information modeling in Chinese construction industry
- Authors:
- Chen, Yilin
Yin, Yilin
Browne, Glenn J.
Li, Dahui - Abstract:
- Abstract : Purpose: Building information modeling (BIM) is recognized as a major innovation in the architecture, engineering, and construction (AEC) industry. Understanding the factors that influence the AEC's adoption of BIM will benefit the research and practice of BIM. The paper aims to discuss these issues. Design/methodology/approach: This study provides empirical evidence for the accumulated knowledge of BIM adoption by examining the context of Chinese construction industry. Based on the technology-organization-environment (TOE) framework in the innovation diffusion literature, the authors develop a research model that integrates the critical success factors related to the technology of BIM, the construction company and the environment in Chinese construction industry. The authors collected two different data sets from engineering consulting firms and construction firms in China, and conducted rigorous analyses using a sophisticated statistical approach. Findings: The authors found that the relative advantage of BIM was a major factor that enabled BIM adoption, while the complexity of BIM was an inhibiter. In addition, management support was also a significant antecedent of BIM adoption. However, organizational readiness was significant for engineering consulting firms but not for construction firms. Surprisingly, the authors did not find consistent significant impacts of any environmental factors. Last, younger firms were more likely to adopt BIM. Originality/value:Abstract : Purpose: Building information modeling (BIM) is recognized as a major innovation in the architecture, engineering, and construction (AEC) industry. Understanding the factors that influence the AEC's adoption of BIM will benefit the research and practice of BIM. The paper aims to discuss these issues. Design/methodology/approach: This study provides empirical evidence for the accumulated knowledge of BIM adoption by examining the context of Chinese construction industry. Based on the technology-organization-environment (TOE) framework in the innovation diffusion literature, the authors develop a research model that integrates the critical success factors related to the technology of BIM, the construction company and the environment in Chinese construction industry. The authors collected two different data sets from engineering consulting firms and construction firms in China, and conducted rigorous analyses using a sophisticated statistical approach. Findings: The authors found that the relative advantage of BIM was a major factor that enabled BIM adoption, while the complexity of BIM was an inhibiter. In addition, management support was also a significant antecedent of BIM adoption. However, organizational readiness was significant for engineering consulting firms but not for construction firms. Surprisingly, the authors did not find consistent significant impacts of any environmental factors. Last, younger firms were more likely to adopt BIM. Originality/value: One of the first to apply the TOE framework to integrate three groups of factors that may explain BIM adoption in China. Such a comprehensive framework provides a much broader perspective of BIM adoption to evaluate the impacts of different antecedent factors. The authors conducted an empirical study based on survey data collected from two different types of companies, i.e., engineering consulting firms and construction firms, representing the two parties in the principal-agent relationship of a construction project. One of the first to apply a sophisticated statistical approach, i.e., partial least squares, to analyze the data in the BIM literature. … (more)
- Is Part Of:
- Engineering, construction and architectural management. Volume 26:Issue 9(2019)
- Journal:
- Engineering, construction and architectural management
- Issue:
- Volume 26:Issue 9(2019)
- Issue Display:
- Volume 26, Issue 9 (2019)
- Year:
- 2019
- Volume:
- 26
- Issue:
- 9
- Issue Sort Value:
- 2019-0026-0009-0000
- Page Start:
- 1878
- Page End:
- 1898
- Publication Date:
- 2019-10-21
- Subjects:
- China -- Construction industry -- Adoption -- Building information modelling -- Technology-organization-environment framework
Construction industry -- Management -- Periodicals
Engineering -- Management -- Periodicals
Engineering -- Periodicals
Building -- Periodicals
624.068 - Journal URLs:
- http://www.emeraldinsight.com/journals.htm?issn=0969-9988 ↗
http://www.emeraldinsight.com/ ↗
http://www.blackwell-synergy.com/member/institutions/issuelist.asp?journal=eca ↗ - DOI:
- 10.1108/ECAM-11-2017-0246 ↗
- Languages:
- English
- ISSNs:
- 0969-9988
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3758.609000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11653.xml