ITcon Vol. 25, pg. 161-172, http://www.itcon.org/2020/10

Technology acceptance model for Augmented Reality and Building Information Modeling integration in the construction industry

DOI:10.36680/j.itcon.2020.010
submitted:August 2018
revised:August 2019
published:March 2020
editor(s):Kumar B.
authors:Abdalrahman Elshafey
Faculty of Civil Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia;
mameabdalrahman2@live.utm.my

Chai Chang Saar, PhD
Taiwan-Malaysia CPM and Digital Technology International Centre, School of Built Environment, University of Reading Malaysia, Johor Bahru, Malaysia;
c.s.chai@reading.edu.my

Eeydzah Binti Aminudin, PhD
Faculty of Civil Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia;
eeydzah@utm.my

Masoud Gheisari, PhD
Rinker School of Construction Management, University of Florida, 322 Rinker Hall, Gainesville, FL, USA;
masoud@ufl.edu

Abdulrahman Usmani
Faculty of Civil Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia;
arch.wageeh@hotmail.com
summary:The digitalization of the construction industry has immense potential for dramatically improving the industry’s practices. Concerning current measures in construction project management, the industry is still dependent on traditional construction methods. However, the application of fully automated techniques within the construction industry has not yet been a widespread practice. Thus, this may explain why there is a slow adaption of digital growth within the construction industry and specifically in developing countries. This study is aiming to investigate the acceptance of Building Information Modeling (BIM) and Augmented Reality (AR) integration in the construction industry. To achieve this aim, Technology Acceptance Model 3 (TAM3) was utilized. The scope was narrowed down to four developing counties (Malaysia, Egypt, Saudi Arabia, and Turkey) and a questionnaire survey was developed and distributed between construction professionals in those countries for data collection purposes. Exploratory Factor Analysis (EFA) was used to develop the TAM, and a regression analysis is used to validate it. The developed TAM3 showed that users control over BIM-AR and perception of easiness of use has the highest influence on their perception of the system usefulness, which would positively affect their intention to use the system. Additionally, unlike the findings of the original TAM3, three variables of Image, Perception of External Control, and Voluntariness illustrate new relations which can be considered as a novel outcome. The outcomes of this study can be used to evaluate the acceptance of BIM-AR Integration in the construction industry context, and the developed TAM3 can be used for the development of new BIM-AR applications in developing countries as it can predict the BIM and AR users’ acceptance.
keywords:Building Information Modeling, Augmented Reality, Technology Acceptance Model (TAM), Factor Analysis, Exploratory Factor Analysis, Regression Analysis, Developing Countries
full text: (PDF file, 0.654 MB)
citation:Elshafey A, Saar C C, Aminudin E B, Gheisari M, Usmani A (2020). Technology acceptance model for Augmented Reality and Building Information Modeling integration in the construction industry, ITcon Vol. 25, pg. 161-172, https://doi.org/10.36680/j.itcon.2020.010