Identification of Critical Success Factors (CSFs) of BIM Software Selection: A Combined Approach of FCM and Fuzzy DEMATEL
The architecture, engineering, and construction (AEC) industry has seen a significant rise in the adoption of Building Information Modeling (BIM) in the last few years. BIM software have launched with numerous robust capabilities and features to satisfy the ever-demanding needs of the AEC industry....
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/11/7/311 |
| _version_ | 1797527521543061504 |
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| author | Tirth Patel Hirakraj Bapat Daksh Patel Jacobus Daniel van der Walt |
| author_facet | Tirth Patel Hirakraj Bapat Daksh Patel Jacobus Daniel van der Walt |
| author_sort | Tirth Patel |
| collection | DOAJ |
| description | The architecture, engineering, and construction (AEC) industry has seen a significant rise in the adoption of Building Information Modeling (BIM) in the last few years. BIM software have launched with numerous robust capabilities and features to satisfy the ever-demanding needs of the AEC industry. Various factors are associated with the selection of BIM software depending on a company’s requirements and constraints. BIM software selection is a daunting process as most AEC industries are unaware of the factors to consider when making this important decision. This study focuses on identifying the critical success factors (CSFs) and their interrelationship for efficient BIM software selection. For this research, a questionnaire was developed and disseminated in two stages in India, the United States of America (U.S.A.), Germany, and the United Kingdom (U.K.). In the first stage, a total of twenty-six identified CSFs were analyzed with the factor comparison method (FCM) to identify the top fifteen CSFs. Subsequently, the identified top fifteen CSFs were further assessed by implementing Fuzzy DEMATEL to categorize them into cause-and-effect groups based on respective influence strength, depicted with a causal diagram. Out of fifteen CSFs, five and ten factors were grouped into the cause group and effect group for BIM software selection, respectively. The most important factors were identified as software functionality, BIM adoption strategies and processes, interoperability, staff competencies, BIM standards and regional regulations. The outcome of this research can help BIM user companies improve their BIM software selection framework and decision-making process during purchasing software. |
| first_indexed | 2024-03-10T09:43:56Z |
| format | Article |
| id | doaj.art-48bd15233ba14e5085f251252fb03fd4 |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-10T09:43:56Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-48bd15233ba14e5085f251252fb03fd42023-11-22T03:22:01ZengMDPI AGBuildings2075-53092021-07-0111731110.3390/buildings11070311Identification of Critical Success Factors (CSFs) of BIM Software Selection: A Combined Approach of FCM and Fuzzy DEMATELTirth Patel0Hirakraj Bapat1Daksh Patel2Jacobus Daniel van der Walt3Department of Civil and Natural Resources Engineering, School of Engineering, University of Canterbury, Christchurch 8041, New ZealandDepartment of Civil Engineering, School of Technology, Pandit Deendayal Petroleum University, Gandhinagar 382007, IndiaDepartment of Information and Communication Technology, Adani Institute of Infrastructure Engineering, Ahmedabad 382421, IndiaDepartment of Civil and Natural Resources Engineering, School of Engineering, University of Canterbury, Christchurch 8041, New ZealandThe architecture, engineering, and construction (AEC) industry has seen a significant rise in the adoption of Building Information Modeling (BIM) in the last few years. BIM software have launched with numerous robust capabilities and features to satisfy the ever-demanding needs of the AEC industry. Various factors are associated with the selection of BIM software depending on a company’s requirements and constraints. BIM software selection is a daunting process as most AEC industries are unaware of the factors to consider when making this important decision. This study focuses on identifying the critical success factors (CSFs) and their interrelationship for efficient BIM software selection. For this research, a questionnaire was developed and disseminated in two stages in India, the United States of America (U.S.A.), Germany, and the United Kingdom (U.K.). In the first stage, a total of twenty-six identified CSFs were analyzed with the factor comparison method (FCM) to identify the top fifteen CSFs. Subsequently, the identified top fifteen CSFs were further assessed by implementing Fuzzy DEMATEL to categorize them into cause-and-effect groups based on respective influence strength, depicted with a causal diagram. Out of fifteen CSFs, five and ten factors were grouped into the cause group and effect group for BIM software selection, respectively. The most important factors were identified as software functionality, BIM adoption strategies and processes, interoperability, staff competencies, BIM standards and regional regulations. The outcome of this research can help BIM user companies improve their BIM software selection framework and decision-making process during purchasing software.https://www.mdpi.com/2075-5309/11/7/311BIMsoftware selectiondecision-making processcritical success factorsFuzzy DEMATELFCM |
| spellingShingle | Tirth Patel Hirakraj Bapat Daksh Patel Jacobus Daniel van der Walt Identification of Critical Success Factors (CSFs) of BIM Software Selection: A Combined Approach of FCM and Fuzzy DEMATEL Buildings BIM software selection decision-making process critical success factors Fuzzy DEMATEL FCM |
| title | Identification of Critical Success Factors (CSFs) of BIM Software Selection: A Combined Approach of FCM and Fuzzy DEMATEL |
| title_full | Identification of Critical Success Factors (CSFs) of BIM Software Selection: A Combined Approach of FCM and Fuzzy DEMATEL |
| title_fullStr | Identification of Critical Success Factors (CSFs) of BIM Software Selection: A Combined Approach of FCM and Fuzzy DEMATEL |
| title_full_unstemmed | Identification of Critical Success Factors (CSFs) of BIM Software Selection: A Combined Approach of FCM and Fuzzy DEMATEL |
| title_short | Identification of Critical Success Factors (CSFs) of BIM Software Selection: A Combined Approach of FCM and Fuzzy DEMATEL |
| title_sort | identification of critical success factors csfs of bim software selection a combined approach of fcm and fuzzy dematel |
| topic | BIM software selection decision-making process critical success factors Fuzzy DEMATEL FCM |
| url | https://www.mdpi.com/2075-5309/11/7/311 |
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