BIM for Deconstruction: An Interpretive Structural Model of Factors Influencing Implementation
Transitioning from demolition to deconstruction practices for end-of-life performances is gaining increasing attention following the need for the construction industry to minimise construction and demolition waste. Building information modelling (BIM) presents an opportunity for sustainable deconstr...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-05-01
|
| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/11/6/227 |
| _version_ | 1797532642486255616 |
|---|---|
| author | Lovelin Obi Bankole Awuzie Chukwudi Obi Temitope S. Omotayo Adekunle Oke Oluyomi Osobajo |
| author_facet | Lovelin Obi Bankole Awuzie Chukwudi Obi Temitope S. Omotayo Adekunle Oke Oluyomi Osobajo |
| author_sort | Lovelin Obi |
| collection | DOAJ |
| description | Transitioning from demolition to deconstruction practices for end-of-life performances is gaining increasing attention following the need for the construction industry to minimise construction and demolition waste. Building information modelling (BIM) presents an opportunity for sustainable deconstruction. However, the notion of BIM for deconstruction (BIMfD) is still in its infancy in the United Kingdom. Although a few studies on BIMfD are evident, a focus on identifying the underlying factors necessary for successful implementation of BIMfD is lacking. The purpose of this study was to identify and analyse the underlying factors necessary for BIMfD implementation in the UK construction industry. It employed a four-stage research design. The reviewed literature explored extant views on BIM implementation factors to identify an initial list of possible factors influencing BIMfD implementation. Subsequently, a mix of questionnaire, focus group discussions and structured interviews were employed at various stages to refine and contextualise 15 factors necessary for BIMfD implementation in the UK construction industry. The contextual interrelationships among the factors were evaluated using interpretive structured modelling (ISM). This evaluation culminated in a BIMfD implementation factor model. The findings identified BIMfD experts, responsiveness of business models to innovative practices and industry’s acceptance to embrace change as the principal factors influencing BIMfD implementation in the UK. The implications of the findings attest that BIMfD experts and advisors must champion the adoption and implementation of BIMfD in the UK and business models need to become more responsive to accommodate BIMfD innovative practices. A BIMfD framework was conceptualised. Even though the BIMfD framework was designed from the UK perspective, the global construction industry can leverage the outcomes of this study. This paper, therefore, brings to the fore, a hierarchical BIMfD implementation factor model to support improved deconstruction practices in the construction industry. |
| first_indexed | 2024-03-10T11:03:08Z |
| format | Article |
| id | doaj.art-1d88e92a6b8342f998adabe3d5c63b03 |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-10T11:03:08Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-1d88e92a6b8342f998adabe3d5c63b032023-11-21T21:21:05ZengMDPI AGBuildings2075-53092021-05-0111622710.3390/buildings11060227BIM for Deconstruction: An Interpretive Structural Model of Factors Influencing ImplementationLovelin Obi0Bankole Awuzie1Chukwudi Obi2Temitope S. Omotayo3Adekunle Oke4Oluyomi Osobajo5School of Architecture and the Built Environment, University of Wolverhampton, Wolverhampton WV10 0JP, UKCentre for Sustainable Smart Cities, Central University of Technology, Bloemfontein 9301, South AfricaSchool of Architecture and the Built Environment, University of Wolverhampton, Wolverhampton WV10 0JP, UKSchool of Built Environment, Engineering and Computing, Leeds Beckett University, Leeds LS2 8AG, UKAberdeen Business School, Robert Gordon University, Garthdee Road, Aberdeen AB10 7QE, UKAberdeen Business School, Robert Gordon University, Garthdee Road, Aberdeen AB10 7QE, UKTransitioning from demolition to deconstruction practices for end-of-life performances is gaining increasing attention following the need for the construction industry to minimise construction and demolition waste. Building information modelling (BIM) presents an opportunity for sustainable deconstruction. However, the notion of BIM for deconstruction (BIMfD) is still in its infancy in the United Kingdom. Although a few studies on BIMfD are evident, a focus on identifying the underlying factors necessary for successful implementation of BIMfD is lacking. The purpose of this study was to identify and analyse the underlying factors necessary for BIMfD implementation in the UK construction industry. It employed a four-stage research design. The reviewed literature explored extant views on BIM implementation factors to identify an initial list of possible factors influencing BIMfD implementation. Subsequently, a mix of questionnaire, focus group discussions and structured interviews were employed at various stages to refine and contextualise 15 factors necessary for BIMfD implementation in the UK construction industry. The contextual interrelationships among the factors were evaluated using interpretive structured modelling (ISM). This evaluation culminated in a BIMfD implementation factor model. The findings identified BIMfD experts, responsiveness of business models to innovative practices and industry’s acceptance to embrace change as the principal factors influencing BIMfD implementation in the UK. The implications of the findings attest that BIMfD experts and advisors must champion the adoption and implementation of BIMfD in the UK and business models need to become more responsive to accommodate BIMfD innovative practices. A BIMfD framework was conceptualised. Even though the BIMfD framework was designed from the UK perspective, the global construction industry can leverage the outcomes of this study. This paper, therefore, brings to the fore, a hierarchical BIMfD implementation factor model to support improved deconstruction practices in the construction industry.https://www.mdpi.com/2075-5309/11/6/227building information modellingdeconstructionBIM ImplementationUK |
| spellingShingle | Lovelin Obi Bankole Awuzie Chukwudi Obi Temitope S. Omotayo Adekunle Oke Oluyomi Osobajo BIM for Deconstruction: An Interpretive Structural Model of Factors Influencing Implementation Buildings building information modelling deconstruction BIM Implementation UK |
| title | BIM for Deconstruction: An Interpretive Structural Model of Factors Influencing Implementation |
| title_full | BIM for Deconstruction: An Interpretive Structural Model of Factors Influencing Implementation |
| title_fullStr | BIM for Deconstruction: An Interpretive Structural Model of Factors Influencing Implementation |
| title_full_unstemmed | BIM for Deconstruction: An Interpretive Structural Model of Factors Influencing Implementation |
| title_short | BIM for Deconstruction: An Interpretive Structural Model of Factors Influencing Implementation |
| title_sort | bim for deconstruction an interpretive structural model of factors influencing implementation |
| topic | building information modelling deconstruction BIM Implementation UK |
| url | https://www.mdpi.com/2075-5309/11/6/227 |
| work_keys_str_mv | AT lovelinobi bimfordeconstructionaninterpretivestructuralmodeloffactorsinfluencingimplementation AT bankoleawuzie bimfordeconstructionaninterpretivestructuralmodeloffactorsinfluencingimplementation AT chukwudiobi bimfordeconstructionaninterpretivestructuralmodeloffactorsinfluencingimplementation AT temitopesomotayo bimfordeconstructionaninterpretivestructuralmodeloffactorsinfluencingimplementation AT adekunleoke bimfordeconstructionaninterpretivestructuralmodeloffactorsinfluencingimplementation AT oluyomiosobajo bimfordeconstructionaninterpretivestructuralmodeloffactorsinfluencingimplementation |