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

Guofeng Ma, Jianyao Jia, Jiyong Ding, Shanshan Shang and Shan Jiang
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Guofeng Ma: School of Economics and Management, Tongji University, Shanghai 200092, China
Jianyao Jia: School of Economics and Management, Tongji University, Shanghai 200092, China
Jiyong Ding: Institute of Engineering Management, Business School of Hohai University, Nanjing 211100, China
Shanshan Shang: School of Business and Management, Shanghai International Studies University, Shanghai 201620, China
Shan Jiang: School of Economics and Management, Tongji University, Shanghai 200092, China

Sustainability, 2019, vol. 11, issue 7, 1-16

Abstract: 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.

Keywords: BIM adoption; factor analysis; the AEC organization; institution; technology (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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