Authors :
Tolulope Tokunbo, Borisade
Volume/Issue :
Volume 10 - 2025, Issue 1 - January
Google Scholar :
https://tinyurl.com/2vcukdrd
Scribd :
https://tinyurl.com/56j8jfet
DOI :
https://doi.org/10.5281/zenodo.14613898
Abstract :
Building Information Modeling (BIM) is
transforming design communication in the architecture,
engineering, and construction (AEC) industry from 2D
drawings to an integrated 3D model (Kumar &
Mukherjee, 2009). BIM enables the virtual construction
of a building before physical construction, providing a
shared knowledge resource for all stakeholders. However,
using traditional methods, the AEC industry struggles to
manage design errors, estimate deficiencies, design-
construction conflicts, and fragmented information flow
(Olatunji et al., 2009). This study reviews the benefits and
barriers of implementing BIM on AEC projects through
a comprehensive literature review. The findings reveal
that BIM offers significant advantages, including
improved collaboration, clash detection, visualization,
documentation, and facilities management. Barriers
include resistance to change, lack of training, software
costs, and legal issues around data ownership. Case
studies demonstrate how BIM supports complex projects
when adopted as a central design platform. The insights
aim to help AEC firms make informed decisions about
BIM adoption to mitigate risks and improve project
delivery.
Keywords :
Building Information Modeling, BIM Implementation, AEC Industry, Design Technology, Collaboration.
References :
- AGC. (2006). The contractor's guide to BIM. Associated General Contractors of America.
- Autodesk. (2008). Improving building industry results through integrated project delivery and building information modeling. Autodesk Whitepaper.
- Azhar, S. (2011). Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry. Leadership and Management in Engineering, 11(3), 241–252.
- Becerik-Gerber, B., & Rice, S. (2010). The perceived value of building information modeling in the US building industry. Journal of Information Technology in Construction (ITcon), 15(15), 185-201.
- Bernstein, P. G., & Pittman, J. H. (2005). Barriers to the adoption of building information modeling in the building industry. Autodesk Building Solutions.
- Bryde, D., Broquetas, M., & Volm, J. M. (2013). The project benefits of building information modeling (BIM). International Journal of Project Management, 31(7), 971-980.
- Condit, C. (2006). Little BIM Studio 2006. LBS2006. LittleBIMStudio.blogspot.ca.
- Damian, K., Newton, C., & Chileshe, N. (2008). An Analysis of the Awareness, Usage, and Benefits of Building Information Modelling (BIM) in the South Australian Construction Industry. University of New South Wales.
- Eastman, C. M., Teicholz, P., Sacks, R., & Liston, K. (2008). BIM handbook: A guide to building information modeling for owners, managers, designers, engineers, and contractors. John Wiley & Sons.
- Howard, R., & Björk, B. C. (2008). Building information modeling–Experts' views on standardization and industry deployment. Advanced Engineering Informatics, 22(2), 271- 280.
- Jeong, Y. S., Eastman, C. M., Sacks, R., & Kaner, I. (2006). Benchmark tests for BIM data exchanges of precast concrete. Automation in Construction, 18(4), 469–484.
- Krygiel, E., & Nies, B. (2008). Green BIM: successful sustainable design with building information modeling. John Wiley & Sons.
- Kumar, J. V., & Mukherjee, M. (2009). Scope of building information modeling (BIM) in India. Journal of Engineering Science and Technology Review, 2(1), 165–169.
- McGraw-Hill Construction. (2009). The business value of BIM is in getting building information modeling to the bottom line. McGraw-Hill Construction.
- NIST. (2004). Cost analysis of inadequate interoperability in the US capital facilities industry. National Institute of Standards and Technology (NIST).
- Olatunji, O. A., Sher, W., & Gu, N. (2009). Building information modeling and quantity surveying practice. Emirates Journal for Engineering Research, 15(1), 67-70.
- Rajendran, S., & Clarke, B. (2011). Building Information Modeling: Safety benefits & opportunities. Professional Safety, 56(10), 44-51.
- Rosenberg, T. L. (2006). Building Information Modeling. Roetzel & Andress.
- Succar, B. (2009). Building information modeling framework: A research and delivery foundation for industry stakeholders. Automation in Construction, 18(3), 357–375.
- Young, N. W., Jones, S. A., Bernstein, H. M., & Gudgel, J. (2009). The business value of BIM getting building information modeling to the bottom line. McGraw-Hill Construction, 51.
Building Information Modeling (BIM) is
transforming design communication in the architecture,
engineering, and construction (AEC) industry from 2D
drawings to an integrated 3D model (Kumar &
Mukherjee, 2009). BIM enables the virtual construction
of a building before physical construction, providing a
shared knowledge resource for all stakeholders. However,
using traditional methods, the AEC industry struggles to
manage design errors, estimate deficiencies, design-
construction conflicts, and fragmented information flow
(Olatunji et al., 2009). This study reviews the benefits and
barriers of implementing BIM on AEC projects through
a comprehensive literature review. The findings reveal
that BIM offers significant advantages, including
improved collaboration, clash detection, visualization,
documentation, and facilities management. Barriers
include resistance to change, lack of training, software
costs, and legal issues around data ownership. Case
studies demonstrate how BIM supports complex projects
when adopted as a central design platform. The insights
aim to help AEC firms make informed decisions about
BIM adoption to mitigate risks and improve project
delivery.
Keywords :
Building Information Modeling, BIM Implementation, AEC Industry, Design Technology, Collaboration.