Analyzing the Success of Adopting Metaverse in Construction Industry: Structural Equation Modelling

Waqar, A. and Othman, I. and Shafiq Aiman, M. and Basit Khan, M. and Islam, M.M. and Almujibah, H. and Abdul Karim, M. (2023) Analyzing the Success of Adopting Metaverse in Construction Industry: Structural Equation Modelling. Journal of Engineering (United Kingdom), 2023. ISSN 23144904

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Abstract

The application of metaverse technology in the field of civil engineering has the potential to improve project efficiency and accuracy. Nevertheless, the pervasive adoption and effective integration of metaverses are contingent on a number of crucial factors. This study investigates the critical factors underlying the successful implementation of metaverse technology within a business context. This research employs a comprehensive mixed-method approach comprised of exploratory factor analysis (EFA) and structural equation modelling (SEM) to examine survey responses gathered from seasoned professionals in the architecture, engineering, and construction (AEC) sectors in Bangladesh. In areas such as communication and collaboration, design visualization, and monitoring and maintenance, the construction industry has made extraordinary strides. As imperatives for managerial consideration strategic investment in resources, targeted training initiatives, heightened awareness campaigns, and prudent deployment of cost-effective and efficient metaverse-based solutions emerge, future investigations should include a larger sample size and an evaluation of the lasting effects over extended time periods. The key to unleashing the full potential of the metaverse within the architecture, engineering, and construction industries lies in addressing these identified success determinants, thereby ushering in enhanced project outcomes and enhanced efficiency within the constructed environment. The combination of these initiatives is expected to pave the way for a new era in the AEC landscape. © 2023 Ahsan Waqar et al.

Item Type: Article
Impact Factor: cited By 1
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 11 Dec 2023 03:03
Last Modified: 11 Dec 2023 03:03
URI: http://scholars.utp.edu.my/id/eprint/38052

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