Author:
Sanchís-Pedregosa Carlos,Vizcarra-Aparicio Juan-Manuel,Leal-Rodríguez Antonio L.
Abstract
The purpose of this paper is to empirically study factors that facilitate the adoption of building information modelling (BIM) among practitioners using the unified theory of technology acceptance model (TAM). The factors identified in the TAM were examined using a quantitative approach. The empirical investigation has been conducted using a survey questionnaire. The data set has been obtained from 73 architects and engineers in Peru. Results show that Perceived Usefulness (PU) is the most important determinant of Behavioural Intention (BI), while Perceived Ease of Use (PEOU) is found to have no significant effect on BI. The findings provide an excellent backdrop in the development of policy and a roadmap for BIM implementation in Peru. The original contribution and value of the paper is the use of TAM to provide empirical evidence on factors that facilitate BIM adoption in Peru.
Publisher
International Council for Research and Innovation in Building and Construction
Subject
Computer Science Applications,Building and Construction,Civil and Structural Engineering
Reference55 articles.
1. Acquah, R., Eyiah, A. K., & Oteng, D. (2018). Acceptance of building information modelling: A survey of professionals in the construction industry in Ghana. Journal of Information Technology in Construction.
2. Ahmed, A. L., & Kassem, M. (2018). A unified BIM adoption taxonomy: Conceptual development, empirical validation and application. Automation in Construction. https://doi.org/10.1016/j.autcon.2018.08.017
3. Ajidabe, P. (2018). Technology Acceptance Model Limitations and Criticisms: Exploring the Practical Applications and Use in Technology-related Studies, Mixed-method, and Qualitative Researches. Library Philosophy and Practice (e-journal). 1941. http://digitalcommons.unl.edu/libphilprac/1941
4. Azhar, S. (2011). Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry. Leadership and Management in Engineering. https://doi.org/10.1061/(ASCE)LM.1943-5630.0000127
5. Becker, J. M., Rai, A., Ringle, C. M., & Völckner, F. (2013). Discovering unobserved heterogeneity in structural equation models to avert validity threats. MIS Quarterly: Management Information Systems. https://doi.org/10.25300/MISQ/2013/37.3.01
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