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Exploring the barriers to digital twin adoption in the Nigerian construction industry: a structural equation modelling approach

Abdulkabir Opeyemi Bello (Department of Building, Federal University of Technology, Minna, Nigeria; Dollahills Research Lab, Dollasoft Technologies, Lagos, Nigeria and Department of Building Technology, SAF Polytechnic, Iseyin, Nigeria)
Oludolapo Ibrahim Olanrewaju (Wellington School of Architecture, Victoria University of Wellington, Wellington, New Zealand; Dollahills Research Lab, Dollasoft Technologies, Lagos, Nigeria and School of Innovation, Design and Technology, Wellington Institute of Technology, Wellington, New Zealand)
Precious Oluwatofunmi Gbenga (Department of Surveying and Geo-Informatics, Federal University of Technology, Minna, Nigeria)
Ayaz Ahmad Khan (UniSA Creative, University of South Australia, City West Campus, Adelaide, Australia and Australian Research Centre for Interactive and Virtual Environments, Mawson Lakes Campus, Adelaide, Australia)
Rasheed Babatunde Isa (Department of Building, Federal University of Technology, Minna, Nigeria)

Journal of Engineering, Design and Technology

ISSN: 1726-0531

Article publication date: 20 August 2024

152

Abstract

Purpose

The adoption of emerging technologies is critical to enhance construction industry performance. Previous studies have shown that the Nigerian construction industry (NCI) is slow to adopt digital technologies and faces performance issues. As a result, this study aims to investigate and model the barriers to adopting digital twin (DT) technology in the NCI with the view to provide stakeholders with adequate information on the multifaceted nature of DT barriers and provide strategies to improve DT adoption.

Design/methodology/approach

The study adopts a qualitative and quantitative approach to achieve the overall aim of the study. The qualitative approach included a scoping review used to identify barriers to DT adoption from the literature. A five-point Likert scale questionnaire was administered to 246 construction professionals in the NCI. This was followed by critical analysis using mean ranking and standard deviation, Kruskal–Wallis, factor analysis and partial least squares structural equation modelling (PLS-SEM).

Findings

The exploratory factor analysis revealed four categories of barriers to DT adoption in the NCI: “technological and investment”, “data management and government”, “project and human resources” and “digital transformation”. The PLS-SEM results revealed the causal relationships of four barriers categories and their concomitant effects on DT adoption in the NCI. The top three barrier categories that require critical attention in order of significance are: technological and investment (ß = 0.655), data management and government (ß = 0.313) and project and human resources (ß = 0.194). Digital transformation (ß = −0.046) has the least significance. Overall, all the barriers’ categories were accepted at a significance level of p < 0.05.

Practical implications

The practical implications include guiding policymakers and practitioners in making informed decisions to address the identified barriers to DT adoption in the NCI. The findings may also be applicable to other developing countries in Africa and beyond. By implementing effective policies and stakeholder guidelines, the NCI can advance technologically and enhance its competitiveness to execute advanced construction projects.

Originality/value

This research contributes to the construction industry by shedding light on the barriers to DT adoption and their intricate interconnections within the NCI context. It is also the first study in NCI context to present the level of DT awareness and explore the concomitant effects of the barriers.

Keywords

Citation

Bello, A.O., Olanrewaju, O.I., Gbenga, P.O., Khan, A.A. and Isa, R.B. (2024), "Exploring the barriers to digital twin adoption in the Nigerian construction industry: a structural equation modelling approach", Journal of Engineering, Design and Technology, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JEDT-01-2024-0012

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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