How A/E/C professionals accept BIM technologies in China: a technology acceptance model perspective

技术接受模型 结构方程建模 建筑信息建模 独创性 样品(材料) 知识管理 可用性 问卷调查 概念模型 背景(考古学) 心理学 业务 工程类 计算机科学 运营管理 社会心理学 社会学 创造力 色谱法 调度(生产过程) 社会科学 化学 古生物学 机器学习 人机交互 生物 数据库
作者
Yiwei Zhao,Yindong Sun,Qianqian Zhou,Caiyun Cui,Yong Liu
出处
期刊:Engineering, Construction and Architectural Management [Emerald Publishing Limited]
卷期号:30 (10): 4569-4589 被引量:37
标识
DOI:10.1108/ecam-04-2022-0308
摘要

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.
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