Analysis of Organizational Factors and Performance in BIM Projects: Empirical Evidence from the Latin American Construction Industry

Authors

DOI:

https://doi.org/10.63948/intraj.v2i1.599

Keywords:

Building Information Modeling, project management, delays, professional experience, organizational variables, professional satisfaction

Abstract

Efficient management of construction projects using BIM (Building Information Modeling) technology is essential for optimizing resources, reducing delays, and improving quality in the AEC industry. This study analyzed associations between organizational variables (work area, BIM software used, type of company, level of experience) and key performance indicators (delays, costs, satisfaction) based on a sample of 101 Latin American professionals. Both descriptive techniques and inferential tests (contingency tables, Chi-square, normality tests, Wilcoxon, ANOVA) were applied, depending on the nature of the variables. The main results showed that only the relationship between type of company and level of experience was statistically significant, with independent companies having less BIM experience than consultants and clients (Succar et al., 2022). No significant associations were found between functional area or software used and the frequency of delays or professional satisfaction, consistent with studies that identify management and training factors as key determinants (Eastman et al., 2018; Gu & London, 2010). The quantitative variables showed non-normal distributions, with strong asymmetries and the presence of outliers, reinforcing the need for non-parametric methods and a focus on problematic projects. In addition, it was found that lower levels of experience are associated with greater delays, underscoring the value of continuous training (Barbosa et al., 2017). The study argues that digital maturity and organizational experience are the most relevant factors for success in BIM projects, suggesting that training policies and programs should focus on less experienced actors and reinforce the use of robust statistics for performance monitoring in the construction industry (Chong et al., 2017; Martínez-Rojas et al., 2016).

Author Biographies

Christian Zambrano Murillo, Universidad Laica Vicente Rocafuerte

He was born in the city of Guayaquil, Guayas province, Ecuador. He is an architect and builder by profession with a master's degree in land use planning and urbanism from the University of Guayaquil. He has twelve years of professional experience in the real estate sector, ranging from real estate project development to the planning and execution of building and urban planning projects. In the academic field, he has published in high-impact scientific journals indexed in Scopus and participated in international conferences on Human Factors in Architecture, Sustainable Urban Planning, and Infrastructure. He has taught technical areas of construction and theoretical areas within sustainable urban development, in addition to being part of the center of excellence at the Faculty of Architecture and Urban Planning at the University of Guayaquil. He currently teaches territorial planning at the Faculty of Engineering, Industry, and Construction at Laica Vicente Rocafuerte University. His research focuses on planning and optimizing decision-making for buildings, applying bioclimatic criteria, generating renewable energy, building technologies, and land use planning, all under sustainability criteria.

Estuardo Vladimir Paredes Cabezas, Universidad Bolivariana del Ecuador

Estuardo Paredes Cabezas is an engineer with extensive experience in public sector supervision in Ecuador. He is currently pursuing a master's degree in construction project management with a focus on BIM methodology, enhancing his expertise in overseeing and managing construction projects using advanced digital tools and efficient processes. His background combines practical supervision skills with advanced academic training to ensure successful project execution in the public sector. Estuardo Paredes Cabezas is an engineer with extensive experience in public sector supervision in Ecuador. He is currently pursuing a master's degree in construction project management with a focus on BIM methodology, enhancing his expertise in overseeing and managing construction projects using advanced digital tools and efficient processes. His background combines practical supervision skills with advanced academic training to ensure successful project execution in the public sector.

Milton Zambrano Chalen, Universidad Bolivariana del Ecuador

Milton Zambrano Chalen is an architect with extensive experience in construction and public enterprises. He holds a master's degree in architecture with a specialization in territorial planning and environmental management, providing him with a comprehensive and sustainable perspective on project development. Currently, he is pursuing a master's degree in construction project management with a focus on BIM methodology, enhancing his ability to lead complex projects using advanced technologies and efficient processes. His profile combines practical experience, strong academic background, and a modern approach to construction management.

References

• Barbosa, F., Woetzel, J., Mischke, J., Ribeirinho, M. J., Sridhar, M., Parsons, M., ... & Brown, S. (2017). Reinventing construction: A route to higher productivity. McKinsey Global Institute.

• Chong, W. K., Lopez, R., Wang, J., Wang, X., & Zhao, M. (2017). Comparative analysis on the adoption and use of BIM in South Korea, Hong Kong and the USA. Construction Innovation, 17(4), 602-618. https://doi.org/10.1108/CI-05-2016-0026

• Eastman, C., Teicholz, P., Sacks, R., & Liston, K. (2018). BIM Handbook: A Guide to Building Information Modeling for Owners, Designers, Engineers, Contractors, and Facility Managers (3rd ed.). John Wiley & Sons.

• Gu, N., & London, K. (2010). Understanding and facilitating BIM adoption in the AEC industry. Automation in Construction, 19(8), 988-999.

• Martínez-Rojas, M., Marín, N., & Vila, M. A. (2016). The Role of Information Technologies to Address Data Handling in Construction Project Management. Journal of Computing in Civil Engineering, 30(4), 04015064. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000521

• Succar, B., Kassem, M., Dawood, N., & Forgues, D. (2022). BIM Maturity and Digital Transformation in Construction: An International Review. Automation in Construction, 137, 104224. https://doi.org/10.1016/j.autcon.2022.104224

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Published

2025-08-15

How to Cite

Zambrano Murillo, C., Paredes Cabezas, E. V., Zambrano Chalen, M., & Castro Hidrovo, D. (2025). Analysis of Organizational Factors and Performance in BIM Projects: Empirical Evidence from the Latin American Construction Industry. INTRA: Interdisciplinary Research and Analysis Journal, 2(1), 12–23. https://doi.org/10.63948/intraj.v2i1.599

Issue

Vol. 2 No. 1 (2025): Summer

Section

Articles

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