| Autor: |
Yingbo JI, Zihao ZHAO, Fuyi2 YAO |
| Jazyk: |
čínština |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
大数据, Vol 7, Pp 128-137 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2096-0271 |
| DOI: |
10.11959/j.issn.2096-0271.2021066 |
| Popis: |
The application degree of big data in the construction field is low, and the promotion is slow.It is of great significance to accurately identify the factors that hinder the application of big data in the construction industry and explore the interaction between the factors.By sorting out the relevant research work, 12 barrier factors were identified.Through using interpretive structure model (ISM), the relationship between factors was determined and transformed into adjacency matrix.Through power iterative analysis, the reachability matrix was established, and the hierarchical relationship of factors was determined.Finally, the influence transmission path between factors was studied and analyzed, and the corresponding countermeasures were given, which provides research support for the application and promotion of big data in China’s construction field. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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