基于解释结构模型的BIM在中国建筑组织应用的因素分析

IF 3.3 3区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Sustainability Pub Date : 2019-04-03 DOI:10.3390/SU11071982

Guofeng Ma, Jianyao Jia, Jiyong Ding, Shanshan Shang, Shan Jiang

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引用次数: 47

摘要

建筑信息建模（BIM）的采用必将提高AEC（建筑、工程和施工）行业的效率和质量。然而，在采用BIM之前，许多因素需要改进。基于机构和技术之间的互动，在中国的背景下，确定并分析了影响AEC组织采用BIM的因素。首先，通过文献研究，确定了21个影响因素。然后，使用解释结构模型（ISM）技术来建立层次结构，并使用应用于分类的矩阵影响交叉参考乘法（MICMAC）来进行因子分类。结果表明，企业/项目领导力和软件功能是两个基本因素。更重要的是，动力机制已经从自上而下逐渐转变为自上而下和自下而上的结合。

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Interpretive Structural Model Based Factor Analysis of BIM Adoption in Chinese Construction Organizations

The adoption of Building Information Modeling (BIM) will definitely improve the efficiency and quality of the AEC (architecture, engineering and construction) industry. However, many factors need to be improved before BIM adoption. Based on the interaction between institutions and technology, factors affecting BIM adoption in AEC organizations, within the context of China, are identified and analyzed. Firstly, 21 factors are identified by literature research. Then, an interpretive structural model (ISM) technique is used to establish a hierarchical structure, and matrix impacts cross-reference multiplication applied to a classification (MICMAC) is used for factor classification. The results indicate that corporate/project leadership and software functionality are the two fundamental factors. What’s more, the dynamic mechanism has gradually changed from top-down to a combination of top-down and bottom-up.

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来源期刊

Sustainability ENVIRONMENTAL SCIENCES-ENVIRONMENTAL SCIENCES

CiteScore

6.80

自引率

20.50%

发文量

14120

审稿时长

17.72 days

期刊介绍： Sustainability (ISSN 2071-1050) is an international and cross-disciplinary scholarly, open access journal of environmental, cultural, economic and social sustainability of human beings, which provides an advanced forum for studies related to sustainability and sustainable development. It publishes reviews, regular research papers, communications and short notes, and there is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research relating to natural sciences, social sciences and humanities in as much detail as possible in order to promote scientific predictions and impact assessments of global change and development. Full experimental and methodical details must be provided so that the results can be reproduced.