Bim critical success factors in different Lifecycle Phases: A review exploring the technology, people, and process bim categories
Keywords:BIM, Building Information Modeling, Critical success factors, Building life cycle
This study aims to draw the scenario of the BIM research field and investigates the relationship of BIM categories (technology, process, and people) with critical success factors, stratified in four life cycle phases (Design, Pre-Construction, Construction, and Operation). The research design is a literature review (SLR) performed through bibliometrics and content analysis. The findings showed the theme evolution based on two motor themes that stood out, artificial intelligence and construction supply chain; three niche themes emerged, data exchange, lean construction, and smart contracts. Finally, we verified the lack of studies focusing on enhancing BIM research related to the Process and People BIM categories once the Technology category has been more studied in the field.
Akbarnezhad, A., Ong, K. C. G., & Chandra, L. R. (2014).Economic and environmental assessment of deconstructionstrategies using building information modeling. Automationin construction, 37, 131-144. https://doi.org/10.1016/j.autcon.2013.10.017
Anil, E. B., Tang, P., Akinci, B., & Huber, D. (2013). Deviation analysis method for the assessment of the quality of the asis
Building Information Models generated from point cloud data. Automation in construction, 35, 507-516. https://doi.
org/10.1016/j.autcon.2013.06.003Antwi-Afari, M., Li, H., Pärn, E., & Edwards, D. J. (2018).Critical success factors for implementing building
information modelling (BIM): A longitudinal review.Automation in construction, 91, 100-110. https://doi.org/10.1016/j.autcon.2018.03.010
Arayici, Y., Coates, P., Koskela, L., Kagioglou, M., Usher,C., & O’Reilly, K. (2011). Technology adoption in the BIM
implementation for lean architectural practice. Automation in construction, 20(2), 189-195. https://doi.org/10.1016/j.
autcon.2010.09.016 Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-toolfor comprehensive science mapping analysis. Journal
of informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007
Asl, M. R., Zarrinmehr, S., Bergin, M., & Yan, W. (2015).BPOpt: A framework for BIM-based performance
Ding, L., Zhou, Y., & Akinci, B. (2014). Building Information Modeling (BIM) application framework: The process
of expanding from 3D to computable nD. Automation in construction, 46, 82-93. https://doi.org/10.1016/j.autcon.2014.04.009
Doan, D. T., Ghaffarianhoseini, A., Naismith, N., Zhang,T., Ghaffarianhoseini, A., & Tookey, J. (2017). A critical
comparison of green building rating systems. Buildingand Environment, 123, 243-260. https://doi.org/10.1016/j.
buildenv.2017.07.007Dong, B., O’Neill, Z., & Li, Z. (2014). A BIM-enabled information infrastructure for building energy Fault
Detection and Diagnostics. Automation in Construction,44, 197-211. https://doi.org/10.1016/j.autcon.2014.04.007Dossick, C. S., & Neff, G. (2010). Organizational divisions in BIM-enabled commercial construction. Journal ofconstruction engineering and management, 136(4), 459-467.
Du, J., Zou, Z., Shi, Y., & Zhao, D. (2018). Zero latency:Real-time synchronization of BIM data in virtual reality forcollaborative decision-making. Automation in Construction,85, 51-64. https://doi.org/10.1016/j.autcon.2017.10.009Duriau, V. J., Reger, R. K., & Pfarrer, M. D. (2007). A content
analysis of the content analysis literature in organizationstudies: Research themes, data sources, and methodologicalrefinements. Organizational research methods, 10(1),5-34. https://doi.org/10.1177%2F1094428106289252
Eadie, R., Browne, M., Odeyinka, H., McKeown, C., & McNiff, S. (2013). BIM implementation throughout the UK
construction project lifecycle: An analysis. Automation in construction, 36, 145-151. https://doi.org/10.1016/j.
autcon.2013.09.001Eastman, C., Lee, J.-m., Jeong, Y.-s., & Lee, J.-k. (2009).Automatic rule-based checking of building designs.
Automation in Construction, 18(8), 1011-1033. https://doi.org/10.1016/j.autcon.2009.07.002
Eastman, C. M., Eastman, C., Teicholz, P., Sacks, R.,& Liston, K. (2008). BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers,Engineers and Contractors. Wiley. https://books.google. com.pk/books?id=IioygN0nYzMC
Eastman, C. M., Eastman, C., Teicholz, P., Sacks, R.,& Liston, K. (2011). BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers,Engineers and Contractors. Wiley. https://books.google.com.pk/books?id=-GjrBgAAQBAJ
El-Diraby, T., Krijnen, T., & Papagelis, M. (2017). BIMbased collaborative design and socio-technical analytics of green buildings. Automation in Construction, 82, 59-74. https://doi.org/10.1016/j.autcon.2017.06.004 Fang, W., Ding, L., Luo, H., & Love, P. E. (2018). Falls
from heights: A computer vision-based approach for safety harness detection. Automation in Construction, 91, 53-61.https://doi.org/10.1016/j.autcon.2018.02.018Fang, Y., Cho, Y. K., Zhang, S., & Perez, E. (2016). Case study of BIM and cloud–enabled real-time RFID indoor localization for construction management applications.Journal of Construction Engineering and Management,
(7), 1-12. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001125Franz, B., Leicht, R., Molenaar, K., & Messner, J. (2017).Impact of team integration and group cohesion on projectdelivery performance. Journal of construction engineeringand management, 143(1), 1-12. https://doi.org/10.1061/
Gerrish, T., Ruikar, K., Cook, M., Johnson, M., Phillip, M.,& Lowry, C. (2017). BIM application to building energy performance visualisation and management: Challenges and potential. Energy and Buildings, 144, 218-228. https://doi.org/10.1016/j.enbuild.2017.03.032
Giannantonio, C. M. (2010). Book review: Krippendorff,K.(2004). Content analysis: an introduction to itsmethodology . Thousand oaks, CA: sage. OrganizationalResearch Methods, 13(2), 392-394. https://doi.org/10.1177%2F1094428108324513
Göçer, Ö., Hua, Y., & Göçer, K. (2015). Completing the missing link in building design process: Enhancing postoccupancy
evaluation method for effective feedback for building performance. Building and Environment, 89, 14-27. https://doi.org/10.1016/j.buildenv.2015.02.011
Goedert, J. D., & Meadati, P. (2008). Integrating construction process documentation into building information modeling.
Journal of construction engineering and management,134(7), 509-516. https://doi.org/10.1061/(ASCE)0733-9364(2008)134:7(509)
Grilo, A., & Jardim-Goncalves, R. (2010). Value proposition on interoperability of BIM and collaborative working environments. Automation in construction, 19(5), 522-530.https://doi.org/10.1016/j.autcon.2009.11.003 Gu, N., & London, K. (2010). Understanding and
facilitating BIM adoption in the AEC industry. Automation in construction, 19(8), 988-999. https://doi.org/10.1016/j.autcon.2010.09.002
Guo, H., Yu, Y., & Skitmore, M. (2017). Visualizationtechnology-based construction safety management: A
review. Automation in Construction, 73, 135-144. https://doi.org/10.1016/j.autcon.2016.10.004 Habibi, S. (2017). The promise of BIM for improving building
performance. Energy and Buildings, 153, 525-548. https://doi.org/10.1016/j.enbuild.2017.08.009
How to Cite
Copyright (c) 2022 Aline V. Arrotéia, Tássia F. L. da Silva, Gustavo G. do Amaral, Silvio B. Melhado, Marly M. de Carvalho
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.