Investigating the Key Hindering Factors and Mechanism of BIM Applications Based on Social Network Analysis

Zezhou Wu, Yun Lu, Qiufeng He*, Qing Hong, Changhong Chen, Maxwell Fordjour Antwi-Afari

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


China’s construction industry is an important driving force for the development of society. Nevertheless, with the recent new normal of economic development, traditional construction approaches cannot meet the requirements of socialist modernization and sustainable construction. As such, the development of the construction industry needs to match the recent developmental concept of green environmental protection. Therefore, China’s construction industry needs to explore innovative development paths of transformation and upgrading. Recently, the Chinese government has been vigorously promoting building information modeling (BIM) applications. However, in the real-world construction process, BIM applications have not achieved their expected impacts. To satisfy the practical demands, this research uses the social network analysis method to analyze the key hindering factors in order to clarify the significance and influencing mechanism of each factor. The current study identified 12 key hindering factors that impede the development of BIM applications in China’s construction industry. The results show that a lack of policy guidance and the restriction of relevant laws are the most critical hindering factors. This research contributes to the research of the hindering factors of BIM applications in China and can assist decision makers in formulating appropriate strategies to promote the application and development of information BIM technology in China’s construction industry.
Original languageEnglish
Article number1270
Pages (from-to)e1270
Number of pages15
Issue number8
Early online date19 Aug 2022
Publication statusPublished - Aug 2022

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Copyright: © 2022 by the authors.
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  • BIM
  • construction industry
  • hindering factors
  • resilience
  • social network analysis


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