Key Factors Affecting Steel Construction Projects’ Performance by Adopting Building Information Modeling (BIM) in Egypt
Publication: Computing in Civil Engineering 2023
ABSTRACT
This study aims to investigate critical factors that impact the performance of steel construction projects in Egypt when considering the use of building information modeling (BIM). A group of Egyptian practitioners and experts were selected to engage in a structured questionnaire survey, which helped define 22 factors that were categorized into three stages: pre-construction stage, construction stage, and general project performance. Relative importance index and dispersion analysis were conducted, and the findings indicated that “accurate BOQ and cost estimation” and “visualizing the construction process” are top-ranked factors. “Supporting construction and project management” comes second, whereas “planning of construction methods” and “facilitating understanding of the construction process” come in the third place. Therefore, in the context of adopting BIM, this study can inform strategies for performance improvement of steel construction projects in Egypt and potentially other developing countries.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Abiodun, O. E., Segbenu, N. S., and Oluseye, O. (2017). “Factors affecting contractors’ performance in construction project delivery in Akure, Ondo State, Nigeria.” J. of Knowl. Manag., Econ. and Inform. Tech., 7(4), 1–23.
Al-Ashmori, Y. Y., Othman, I., Rahmawati, Y., Amran, Y. M., Sabah, S. A., Rafindadi, A. D., and Mikic, M. (2020). “BIM benefits and its influence on the BIM implementation in Malaysia.” Ain Shams Eng. J., 1013–1019.
Alias, Z., Zawawi, E., Yusof, K., and Aris, N. M. (2014). “Determining critical success factors of project management practice: A conceptual framework.” Proc. - Soc. and Beh. Sc., 61–69.
Altarawneh, J. Y., and Samadi, B. (2019). “The relationship between critical success factors and success criteria in construction projects in the United Arab Emirates.” I. J. of Adv. and App. Sc., 43–53.
Aronhime, S., et al. (2014). “DCE-MRI of the liver: effect of linear and nonlinear conversions on hepatic perfusion quantification and reproducibility.” J. of Magnetic Res. Imaging, 90–98.
Azhar, S. (2011). “Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry.” Leadership and Management, 241–252.
Bhirud, A. N., and Vasant, K. G. (2015). “Analysis of critical success factors for application of public private partnership in real estate.” I. J. on R. and Innov. Tr. in Comp., 757–760.
Bhokare, S., Goyal, L., Ren, R., and Zhang, J. (2022). “Smart construction scheduling monitoring using YOLOv3-based activity detection and classification.” J. of Inf. Tech. in Constr., 27, 240–252, https://doi.org/10.36680/j.itcon.2022.012.
Bryde, D., Broquetas, M., and Volm, J. M. (2013). “The project benefits of Building Information Modelling (BIM).” I. J. of Proj. Manag., 971–980.
Chakraborty, D., Elhegazy, H., Elzarka, H., and Gutierrez, L. (2020). “A novel construction cost prediction model using hybrid natural and light gradient boosting.” Adv. Eng. Inf., 6, https://doi.org/10.1016/j.aei.2020.101201.
Chau-Ping, Y. (2007). “Factors affecting the performance of public projects in Taiwan.” J. of Constr. Res., 207–225.
Elabd, N., and Khodeir, L. (2019). “Towards enhancing building information modeling implementation in the Egyptian AEC industry.” The Acad. Res. Comm. Pub., 209–223.
Elhegazy, H. (2021). “State-of-the-art review on benefits of applying value engineering for multi-story buildings.” Intelligent Buildings International, https://doi.org/10.1080/17508975.2020.1806019.
Elhegazy, H., Badra, N., Aboul Haggag, S., and Abdel Rashid, I. (2022). “Implementation of the Neural networks for improving the project’s performance of steel structures projects.” J. of Indust. Integr. and Manag., https://doi.org/10.1142/S2424862221500251.
Elhegazy, H., Ebid, A., Mahdi, I., Haggag, S., and Abdul-Rashied, I. (2021). “Implementing QFD in decision making for selecting the optimal structural system for buildings.” Construction Innovation, 21(2), 345–360, https://doi.org/10.1108/CI-12-2019-0149.
Elhegazy, H., Zhang, J., Amoudi, O., Zaki, J. N., Yahia, M., Eid, M., and Mahdi, I. (2022). “An exploratory study on the impact of the construction industry on climate change.” J. of Indust. Integr. and Manag., https://doi.org/10.1142/S2424862222500282.
Elizar, Wibowo, M. A., and Koestalam, P. (2015). “Identification and analyze of influence level on waste construction management of performance.” Procedia Engineering, 46–52.
Elnaggar, S. M., and Elhegazy, H. (2022). “Study the impact of the COVID-19 pandemic on the construction industry in Egypt.” Structures, 35, 1270–1277, https://doi.org/10.1016/j.istruc.2021.09.028.
Iyer, K. C., and Jha, K. N. (2006). “Critical Factors affecting schedule performance: Evidence from Indian construction projects.” J. of Constr. Eng. And Manag., 871–881.
Li, H., Zhang, J., Chang, S., and Sparkling, A. (2023).“BIM-based object mapping using invariant signatures of AEC objects.” Autom. in Constr., 145, 104616, https://doi.org/10.1016/j.autcon.2022.104616.
Li, L., Yuan, J., Tang, M., Xu, Z., Xu, W., and Cheng, Y. (2021). “Developing a BIM-enabled building lifecycle management system for owners: Architecture and case scenario.” Autom. in Constr., 1–17.
Maya, R., Hassan, B., and Hassan, A. (2021). “Develop an artificial neural network (ANN) model to predict construction projects performance in Syria.” J. of K. Saud Univ – Eng. Sc., 1–6.
Migilinskas, D., Popov, V., Juocevicius, V., and Ustinovichius, L. (2013). “The Benefits, obstacles and problems of practical BIM implementation.” Procedia Engineering, 767–774.
Othman, M., Elbeltagi, E., and Hassan, M. A. (2018). “BIM impelementation within the Egyptian AEC industry.” ICSPM18 (pp. 1–11). Aswan-Egypt: ResearchGate.
Shaqour, E. (2022). “The role of implementing BIM applications in enhancing project management knowledge areas in Egypt.” Ain Shams Eng. J., 1–11.
Singh, A. P., and Singh, R. (2017). “Ranking delay, cost, quality factors for project.” International Journal of Latest Trends in Engineering and Technology, 273–287.
Tripathi, K. K., and Jha, K. N. (2018). “An empirical study on performance measurement factors for construction organizations.” KSCE J. of Civil Eng., 1052–1066.
Wang, Y., et al. (2023). “Characterizing data sharing in civil infrastructure engineering: Current practice, future vision, barriers, and promotion strategies.” J. Comput. Civ. Eng., 37 (2), 04023001.
Wu, J., Akanbi, T., and Zhang, J. (2022).“Constructing invariant signaturesfor AEC objects to support BIM-based analysis automation through ob-ject classification.” J. Comput. Civ. Eng., 36 (4), 04022008.
Zhong, S., Elhegazy, H., and Elzarka, H. (2022). “Key factors affecting the decision-making process for building projects in Egypt.” Ain Shams Eng. J., 13(3), 101597.
Information & Authors
Information
Published In
Computing in Civil Engineering 2023
Pages: 442 - 450
History
Published online: Jan 25, 2024
ASCE Technical Topics:
- Architectural engineering
- Building information modeling
- Building management
- Buildings
- Business management
- Construction (by type)
- Construction engineering
- Construction management
- Construction methods
- Developing countries
- Management methods
- Practice and Profession
- Project management
- Steel construction
- Structural engineering
- Structures (by type)
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.