Factors Influencing the Development of Cloud-Based Building Information Modelling (Cloud-BIM): A Hybrid FDelphi-FANP-TOPSIS-CEA Approach
The adoption of cloud-based building information modelling (Cloud-BIM) presents a complex landscape of potential benefits and challenges for architectural design enterprises in China. While similar opportunities and obstacles exist globally, the unique economic, technical, and regulatory landscape o...
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MDPI AG
2024-12-01
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| Online Access: | https://www.mdpi.com/2075-5309/15/1/33 |
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| author | Yafei Zhao Nooriati Taib |
| author_facet | Yafei Zhao Nooriati Taib |
| author_sort | Yafei Zhao |
| collection | DOAJ |
| description | The adoption of cloud-based building information modelling (Cloud-BIM) presents a complex landscape of potential benefits and challenges for architectural design enterprises in China. While similar opportunities and obstacles exist globally, the unique economic, technical, and regulatory landscape of China necessitates a focused analysis. This study addresses the research gap by investigating the factors influencing Cloud-BIM development in China, utilizing a novel hybrid FDelphi-FANP-TOPSIS-CEA approach. Following a systematic literature review, the interval-valued fuzzy Delphi method (FDelphi) was used to identify 4 primary and 14 secondary factors influencing Cloud-BIM adoption. A fuzzy analytic network process (FANP) was then used to prioritize these factors, revealing technology factors to be the most impactful, with interoperability holding the top position among the secondary factors. The technique for order preference by similarity to ideal solution (TOPSIS) method was further used to identify Cloud-BIM, with objects metasearch being the most favorable alternative among the four potential approaches. Finally, a causal effect analysis (CEA) was used to explore the cause-and-effect relationships between the identified factors, providing a deeper understanding of the underlying dynamics. This research offers valuable insights for architectural design enterprises in China considering Cloud-BIM implementation. By highlighting the key influencing factors, prioritizing their impact, and identifying the most suitable approach, this study equips practitioners with actionable knowledge to navigate the complex decision-making process. Additionally, the novel methodology contributes to the advancement of research in Cloud-BIM adoption, providing a robust framework for future studies in similar contexts. |
| format | Article |
| id | doaj-art-e7cb39885907435ca3e958d1b0378d0c |
| institution | Kabale University |
| issn | 2075-5309 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | Buildings |
| spelling | doaj-art-e7cb39885907435ca3e958d1b0378d0c2025-01-10T13:15:50ZengMDPI AGBuildings2075-53092024-12-011513310.3390/buildings15010033Factors Influencing the Development of Cloud-Based Building Information Modelling (Cloud-BIM): A Hybrid FDelphi-FANP-TOPSIS-CEA ApproachYafei Zhao0Nooriati Taib1School of Housing, Building and Planning, Universiti Sains Malaysia, 11800 USM, Penang, MalaysiaSchool of Housing, Building and Planning, Universiti Sains Malaysia, 11800 USM, Penang, MalaysiaThe adoption of cloud-based building information modelling (Cloud-BIM) presents a complex landscape of potential benefits and challenges for architectural design enterprises in China. While similar opportunities and obstacles exist globally, the unique economic, technical, and regulatory landscape of China necessitates a focused analysis. This study addresses the research gap by investigating the factors influencing Cloud-BIM development in China, utilizing a novel hybrid FDelphi-FANP-TOPSIS-CEA approach. Following a systematic literature review, the interval-valued fuzzy Delphi method (FDelphi) was used to identify 4 primary and 14 secondary factors influencing Cloud-BIM adoption. A fuzzy analytic network process (FANP) was then used to prioritize these factors, revealing technology factors to be the most impactful, with interoperability holding the top position among the secondary factors. The technique for order preference by similarity to ideal solution (TOPSIS) method was further used to identify Cloud-BIM, with objects metasearch being the most favorable alternative among the four potential approaches. Finally, a causal effect analysis (CEA) was used to explore the cause-and-effect relationships between the identified factors, providing a deeper understanding of the underlying dynamics. This research offers valuable insights for architectural design enterprises in China considering Cloud-BIM implementation. By highlighting the key influencing factors, prioritizing their impact, and identifying the most suitable approach, this study equips practitioners with actionable knowledge to navigate the complex decision-making process. Additionally, the novel methodology contributes to the advancement of research in Cloud-BIM adoption, providing a robust framework for future studies in similar contexts.https://www.mdpi.com/2075-5309/15/1/33Cloud-BIMFDelphiFANPTOPSISCEAinfluence factors |
| spellingShingle | Yafei Zhao Nooriati Taib Factors Influencing the Development of Cloud-Based Building Information Modelling (Cloud-BIM): A Hybrid FDelphi-FANP-TOPSIS-CEA Approach Buildings Cloud-BIM FDelphi FANP TOPSIS CEA influence factors |
| title | Factors Influencing the Development of Cloud-Based Building Information Modelling (Cloud-BIM): A Hybrid FDelphi-FANP-TOPSIS-CEA Approach |
| title_full | Factors Influencing the Development of Cloud-Based Building Information Modelling (Cloud-BIM): A Hybrid FDelphi-FANP-TOPSIS-CEA Approach |
| title_fullStr | Factors Influencing the Development of Cloud-Based Building Information Modelling (Cloud-BIM): A Hybrid FDelphi-FANP-TOPSIS-CEA Approach |
| title_full_unstemmed | Factors Influencing the Development of Cloud-Based Building Information Modelling (Cloud-BIM): A Hybrid FDelphi-FANP-TOPSIS-CEA Approach |
| title_short | Factors Influencing the Development of Cloud-Based Building Information Modelling (Cloud-BIM): A Hybrid FDelphi-FANP-TOPSIS-CEA Approach |
| title_sort | factors influencing the development of cloud based building information modelling cloud bim a hybrid fdelphi fanp topsis cea approach |
| topic | Cloud-BIM FDelphi FANP TOPSIS CEA influence factors |
| url | https://www.mdpi.com/2075-5309/15/1/33 |
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