Zhao, Y; Sun, Y; Zhou, Q; Cui, C and Liu, Y (2023) How A/E/C professionals accept BIM technologies in China: A technology acceptance model perspective. Engineering, Construction and Architectural Management, 30(10), pp. 4569-4589. ISSN 09699988
Abstract
Purpose: The aim of this paper is to research the acceptance mechanism of building information modeling (BIM) technology and to explore the differences among Architecture/Engineering/Construction (A/E/C) professionals with different individual characteristics. The proposed acceptance mechanism of BIM technology is intended to be used by industry stakeholders to propose decisions and measures, and improve the degree of BIM adoption. Design/methodology/approach: Traditional hypothesis testing is adopted by the current study to empirically research the specific mechanism of A/E/C professionals accepting BIM technologies. In the one phase, a conceptual model based on technology acceptance model (TAM) and technology organization environment (TOE) theory was established and a large-scale questionnaire survey was conducted. In the other phase, structural equation modeling (SEM) was used to analyze acquired sample data, so as to empirically test the validity of the proposed linkage. Findings: The results show first that perceived ease of use has no significant influence on perceived usefulness, and perceived usefulness has no significant effect on behavior intention as well. Second, BIM technical features and government BIM policies have positive effects on perceived usefulness, BIM technical features and organization supports have positive effects on perceived ease of use. Third, the BIM acceptance mechanism of A/E/C professionals is diverse from respondents with different characteristics, e.g. regions and working time. Originality/value: The authors highlight the large sample size, as well as the nationwide context, of the questionnaire survey. Meanwhile, acceptance differences among A/E/C professionals with different demographic characteristics have been clarified using profound data and t-test. The findings of this study enrich the research on the acceptance mechanism of BIM technology, and contribute to relevant stakeholders taking targeted measures to promote the effective application of BIM technology nationwide.
Item Type: | Article |
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Uncontrolled Keywords: | architecture /engineering/construction industry; building information modeling; questionnaire survey; structural equation modeling; technology acceptance model |
Date Deposited: | 11 Apr 2025 15:13 |
Last Modified: | 11 Apr 2025 15:13 |