Enhancing the integration of digital twin in construction phases: key drivers for adoption in Nigeria

Purpose This paper aims to investigate the key drivers of digital twin (DT) implementation in the construction industry (CI). Design/methodology/approach Quantitative approach was used, and questionnaires was distributed to professionals in the construction sector. Snowball sampling technique was used to collect responses from 120 professionals. The study developed a framework and tested the hypotheses using partial least square structural equation modelling (PLS-SEM). Findings The result of PLS-SEM showed an R2 value of 69.2%, 86.9% and 77.1% for the design phase, construction phase and operation phase, respectively. The findings of this study showed that concept-oriented drivers, operational success drivers, production-driven drivers and preservation-driven drivers are the most important drivers of implementing DT in the construction phase. Practical implications While the framework builds upon and adapts existing theoretical models, its contribution lies in offering a phase-specific empirical analysis of DT adoption drivers within the underexplored Nigerian context, thereby extending their applicability to emerging economies. This provides actionable insights for practitioners and policymakers seeking to enhance DT integration strategies. Originality/value The study developed a conceptual framework and examined it using PLS-SEM. Hence, the findings and insights of the study provide a solid foundation for practitioners to use DT as a tool to improve various aspects of the construction process.

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Publication Details

Journal
Journal of Engineering Design and Technology
Published
2025-10-24
DOI
https://doi.org/10.1108/jedt-03-2025-0120
Primary Topic
Digital Transformation in Industry
Type
article
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article

Enhancing the integration of digital twin in construction phases: key drivers for adoption in Nigeria

Journal of Engineering Design and Technology
Digital Transformation in Industry
article

Enhancing the integration of digital twin in construction phases: key drivers for adoption in Nigeria

article en

Abstract

Purpose This paper aims to investigate the key drivers of digital twin (DT) implementation in the construction industry (CI). Design/methodology/approach Quantitative approach was used, and questionnaires was distributed to professionals in the construction sector. Snowball sampling technique was used to collect responses from 120 professionals. The study developed a framework and tested the hypotheses using partial least square structural equation modelling (PLS-SEM). Findings The result of PLS-SEM showed an R2 value of 69.2%, 86.9% and 77.1% for the design phase, construction phase and operation phase, respectively. The findings of this study showed that concept-oriented drivers, operational success drivers, production-driven drivers and preservation-driven drivers are the most important drivers of implementing DT in the construction phase. Practical implications While the framework builds upon and adapts existing theoretical models, its contribution lies in offering a phase-specific empirical analysis of DT adoption drivers within the underexplored Nigerian context, thereby extending their applicability to emerging economies. This provides actionable insights for practitioners and policymakers seeking to enhance DT integration strategies. Originality/value The study developed a conceptual framework and examined it using PLS-SEM. Hence, the findings and insights of the study provide a solid foundation for practitioners to use DT as a tool to improve various aspects of the construction process.

Journal of Engineering Design and TechnologyVol. 24(1)
Ahmadu Bello University (NG), University of the Free State (ZA), Federal University of Technology Minna (NG), Newcastle University (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 40%
Digital Transformation in Industry
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Enhancing the integration of digital twin in construction phases: key drivers for adoption in Nigeria · Journal of Engineering Design and Technology (2025) | TGRS Research Map | TGRS