Assessing Readiness for BIM-AR Adoption in Malaysia Construction Industry: A Study of Causal Relationship

Sarinata  Saimun; Peniel Soon Ern  Ang; Velerine  Mei Shan Vun; Nur Izzah  Mohd Noh; Sonia  Lohana; Muhammad Hafiz  Zaini; Qadir Bux  Imran Latif

doi:10.37934/ard.141.1.189206

Authors

Sarinata Saimun Faculty of Engineering Technology, University Tun Hussein Onn Malaysia, Higher Education Hub, Pagoh 84600, Malaysia
Peniel Soon Ern Ang Faculty of Engineering Technology, University Tun Hussein Onn Malaysia, Higher Education Hub, Pagoh 84600, Malaysia
Velerine Mei Shan Vun Faculty of Engineering Technology, University Tun Hussein Onn Malaysia, Higher Education Hub, Pagoh 84600, Malaysia
Nur Izzah Mohd Noh Faculty of Engineering Technology, University Tun Hussein Onn Malaysia, Higher Education Hub, Pagoh 84600, Malaysia
Sonia Lohana Faculty of Technology Management and Business, University Tun Hussein Onn Malaysia, 86400 Parit Raja, Malaysia
Muhammad Hafiz Zaini Bina Initiatives Sdn Bhd, Suite C-23-06. 3 Two Square, No 2, Jalan 19/1, Petaling Jaya, 46300, Malaysia
Qadir Bux Imran Latif Department of Civil and Environmental Engineering, University of Nizwa, Oman

DOI:

https://doi.org/10.37934/ard.141.1.189206

Keywords:

Building Information modelling, augmented reality, BIM-AR; consultant, contractors; construction, Malaysia

Abstract

This research explores the readiness of BIM-AR adoption in Malaysia construction industry. Three dimensions are proposed: awareness, challenges, and readiness. It studied how these variables affect the construction players on the readiness and willingness to implement BIM-AR in their project. The research hypotheses are: (1) Awareness of BIM-AR influences the Readiness of its adoption and (2) The challenges influence the Readiness of BIM-AR adoption. Participants included 65 construction players which consist of G5-G7 contractors and BIM consultants located in Klang Valley. The questionnaire survey method is applied in this research to analyse the relationship between variables and verify the hypothesis based on the collected 65 valid questionnaires. The partial least square method structural equation model (PLS-SEM) was used to carry out structural equation modelling to study the relationship between latent variables. The model has revealed that increasing awareness and eliminating challenges could help to enhance readiness in adopting BIM-AR. The findings show that, the positive and significant path coefficient between "Awareness" and "Readiness" suggests that a higher level of awareness is associated with increased readiness for BIM-AR adoption. Meanwhile, the negative and significant path coefficient between "Challenges" and "Readiness" indicates that higher perceived challenges are associated with lower readiness for BIM-AR adoption. According to this study, the main challenges impacting the readiness for BIM-AR implementation is the concern among construction stakeholders regarding the associated costs of adopting this technology. The finding also proves that the level of readiness to implement BIM-AR among respondents are high where the highest ranked score of readiness indicates that the respondents are willing to provide training programs and support for BIM-AR implementation. This shows that the majority of respondents are willing to implement BIM-AR in their project. Hence, these findings have provided a valuable insight on the readiness of BIM-AR in Malaysia construction industry.