Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31584
Risk Assessment of Building Information Modelling Adoption in Construction Projects

Authors: Amirhossein Karamoozian, Desheng Wu, Behzad Abbasnejad


Building information modelling (BIM) is a new technology to enhance the efficiency of project management in the construction industry. In addition to the potential benefits of this useful technology, there are various risks and obstacles to applying it in construction projects. In this study, a decision making approach is presented for risk assessment in BIM adoption in construction projects. Various risk factors of exerting BIM during different phases of the project lifecycle are identified with the help of Delphi method, experts’ opinions and related literature. Afterward, Shannon’s entropy and Fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Situation) are applied to derive priorities of the identified risk factors. Results indicated that lack of knowledge between professional engineers about workflows in BIM and conflict of opinions between different stakeholders are the risk factors with the highest priority.

Keywords: Risk, BIM, Shannon’s entropy, Fuzzy TOPSIS, construction projects.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 952


[1] S. Azhar, M. Khalfan, and T. Maqsood, "Building information modelling (BIM): now and beyond," Construction Economics and Building, vol. 12, no. 4, pp. 15-28, 2012.
[2] K.-F. Chien, Z.-H. Wu, and S.-C. Huang, "Identifying and assessing critical risk factors for BIM projects: Empirical study," Automation in Construction, vol. 45, pp. 1-15, 2014.
[3] I. U. Ahmad, J. S. Russell, and A. Abou-Zeid, "Information technology (IT) and integration in the construction industry," Construction Management and Economics, vol. 13, no. 2, pp. 163-171, 1995.
[4] A. Elmualim and J. Gilder, "BIM: innovation in design management, influence and challenges of implementation," Architectural Engineering and design management, vol. 10, no. 3-4, pp. 183-199, 2014.
[5] X. Zhao, P. Wu, and X. Wang, "Risk paths in BIM adoption: empirical study of China," Engineering, Construction and Architectural Management, vol. 25, no. 9, pp. 1170-1187, 2018.
[6] T. L. McCuen, P. C. Suermann, and M. J. Krogulecki, "Evaluating Award-Winning BIM Projects Using the National Building Information Model Standard Capability Maturity Model," Journal of Management in Engineering, vol. 28, no. 2, pp. 224-230, 2012.
[7] Y. Zou, A. Kiviniemi, and S. W. Jones, "Developing a tailored RBS linking to BIM for risk management of bridge projects," Engineering, Construction and Architectural Management, vol. 23, no. 6, pp. 727-750, 2016.
[8] D. L. Olson and D. D. Wu, "Enterprise Risk Management in Projects," in Enterprise Risk Management Models, D. L. Olson and D. D. Wu Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017, pp. 161-173.
[9] M. Sutrisna, "Managing information flow and design processes to reduce design risks in offsite construction projects," Engineering, Construction and Architectural Management, vol. 26, no. 2, pp. 267-284, 2019, doi: 10.1108/ECAM-11-2017-0250.
[10] T. Aven, "Risk assessment and risk management: Review of recent advances on their foundation," European Journal of Operational Research, vol. 253, no. 1, pp. 1-13, 2016/08/16/ 2016.
[11] M. S. Islam, M. P. Nepal, M. Skitmore, and M. Attarzadeh, "Current research trends and application areas of fuzzy and hybrid methods to the risk assessment of construction projects," Advanced Engineering Informatics, vol. 33, pp. 112-131, 2017.
[12] A. Guide, "Project Management Body of Knowledge (PMBOK® GUIDE)," in Project Management Institute, 2001.
[13] S. Cafiso, A. Di Graziano, and G. Pappalardo, "Using the Delphi method to evaluate opinions of public transport managers on bus safety," Safety Science, vol. 57, pp. 254-263, 2013/08/01/ 2013.
[14] A. J. Chaghooshi, M. R. Fathi, and M. Kashef, "Integration of fuzzy Shannon's entropy with fuzzy TOPSIS for industrial robotic system section," Journal of Industrial Engineering and Management (JIEM), vol. 5, no. 1, pp. 102-114, 2012.
[15] T.-C. Wang and H.-D. Lee, "Developing a fuzzy TOPSIS approach based on subjective weights and objective weights," Expert systems with applications, vol. 36, no. 5, pp. 8980-8985, 2009.
[16] E. Bottani, "A fuzzy TOPSIS methodology to support outsourcing of logistics services," Supply Chain Management: An International Journal, vol. 11, no. 4, pp. 294-308, 2006, doi: 10.1108/13598540610671743.
[17] Ü. Şengül, M. Eren, S. Eslamian Shiraz, V. Gezder, and A. B. Şengül, "Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey," Renewable Energy, vol. 75, pp. 617-625, 2015/03/01/ 2015.
[18] T.-C. Wang and T.-H. Chang, "Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment," Expert Systems with Applications, vol. 33, no. 4, pp. 870-880, 2007/11/01/ 2007.
[19] L. A. Zadeh, "Fuzzy sets," Information and control, vol. 8, no. 3, pp. 338-353, 1965.
[20] C.-C. Sun, "A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods," Expert systems with applications, vol. 37, no. 12, pp. 7745-7754, 2010.