behavioral intention to adopt BIM methodology: an empirical study based on the TAM model with civil engineering students at the Universidad Estatal del Sur de Manabí

Authors

DOI:

https://doi.org/10.62305/alcon.v6i4.1266

Keywords:

BIM methodology; technology acceptance model; behavioral intention; civil engineering; higher education; perceived usefulness

Abstract

BIM (Building Information Modeling) methodology constitutes one of the most relevant technological transformations in the construction industry worldwide; however, its adoption in the Ecuadorian academic setting remains limited. This research aimed to determine the behavioral intention to adopt BIM methodology among students of the Civil Engineering program at the Universidad Estatal del Sur de Manabí (UNESUM), based on the Technology Acceptance Model (TAM) proposed by Davis (1989). A structured questionnaire covering four dimensions (perceived usefulness, perceived ease of use, attitude toward use, and behavioral intention to use), validated through Cronbach's alpha coefficient, was applied to a probabilistic sample of 183 students, calculated from a population of 350 active students, with a 95% confidence level and a 5% margin of error. The results showed adequate overall internal consistency (α = 0.866) and favorable attitudes toward BIM methodology, with means above 4.0 out of 5.0 in most dimensions. Multiple linear regression analysis showed that perceived ease of use (β = 0.356) and perceived usefulness (β = 0.190) significantly predict attitude toward use (R² = 0.283), while attitude (β = 0.374) and perceived usefulness (β = 0.207) significantly predict behavioral intention to use (R² = 0.230). It is concluded that Civil Engineering students at UNESUM show a favorable intention to adopt BIM, driven mainly by perceived usefulness and ease of use, which suggests the relevance of strengthening its curricular instruction.

Downloads

Download data is not yet available.

References

Caballero Mendoza, M., & Sánchez-Macias, J. (2025). Implementación de la metodología BIM en proyectos de construcción de infraestructura civil en Ecuador. Revista Tse'de, 8(1). https://doi.org/10.60100/tsede.v8i1.243

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2.a ed.). Lawrence Erlbaum Associates.

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008

Dodge Data & Analytics. (2021). Accelerating digital transformation through BIM: SmartMarket report. Obtenido de https://damassets.autodesk.net/content/dam/autodesk/www/pdfs/aec-smart-market-report-2021-bim-digital-transformation-en.pdf

Eastman, C., Teicholz, P., Sacks, R., & Liston, K. (2011). BIM handbook: A guide to building information modeling for owners, managers, designers, engineers, and contractors (2.a ed.). John Wiley & Sons.

Field, A. (2013). Discovering statistics using IBM SPSS statistics (4.a ed.). Sage.

George, D., & Mallery, P. (2003). SPSS for Windows step by step: A simple guide and reference, 11.0 update (4.a ed.). Allyn & Bacon.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3.a ed.). Sage.

Işıkdağ, Ü., Aydın, Y., Bekdaş, G., & Underwood, J. (2026). Factors influencing perceived ease of use and usefulness of BIM tools. Buildings, 16(1), 106. https://doi.org/10.3390/buildings16010106

Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22(140), 1-55.

Montúfar Chiriboga, G. (2026). El modelado de información de la construcción (BIM) como estrategia didáctica en la formación del ingeniero civil: revisión bibliográfica y estado de la cuestión. Revista del Instituto de Investigaciones en Educación, 17(25). https://doi.org/10.30972/riie.17259499

Naula-Ochoa, L., Vásquez-Quiroz, P., & Toledo-Toledo, J. F. (2025). Análisis y evolución de la implementación de la metodología BIM en la Cámara de la Construcción de Cuenca, Ecuador. South Florida Journal of Development, 6(8). https://doi.org/10.46932/sfjdv6n8-045

Quintana Vásconez, R. S., Fernández Sánchez, D. E., Fernández Delgado, L. M., & Fernández Sánchez, L. J. (2025). Uso académico y profesional de software especializado en la formación de ingenieros civiles en Ambato, Ecuador. ASCE Magazine, 4(4), 1764-1786. https://doi.org/10.70577/asce.v4i4.511

Sampieri, R., Fernández, C., & Batista, M. (2014). Metodología de la investigación (6.a ed.). McGraw-Hill.

Succar, B. (2009). Building information modelling framework: A research and delivery foundation for industry stakeholders. Automation in Construction, 18(3), 357-375. Obtenido de https://www.sciencedirect.com/science/article/abs/pii/S0926580508001568

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.

Published

2026-09-15

How to Cite

Sornoza-Parrales, . D., Moran-Valeriano, N. D., Quimis-Merchan, R. A., & Choez-Reyes, D. P. (2026). behavioral intention to adopt BIM methodology: an empirical study based on the TAM model with civil engineering students at the Universidad Estatal del Sur de Manabí . Scientific Journal of Educational Innovation and Current Society "ALCON". ISSN 2960-8473, 6(4), 587–601. https://doi.org/10.62305/alcon.v6i4.1266

Issue

Section

Original articles