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The construction industry is frequently scrutinised by the public for a variety of issues, including waste, inefficiency, narrow profit margins, scheduling setbacks, budget overruns, quality concerns, trust deficits, transparency issues, coordination challenges, communication issues and fraud. The purpose of this paper is to assess the effect of blockchain technology adoption on the construction supply chain.

This study used a quantitative research approach through a questionnaire survey that was conducted among professionals in the Nigerian construction industry using the snowball sampling method, which resulted in a selection of 155 respondents. The collected data were analysed using partial least squares structural equation modelling, enabling a thorough assessment of the proposed relationships and offering valuable insights specific to the construction industry.

The study’s findings validated the conceptual framework established. The results indicated that implementing blockchain across all stages of the construction supply chain has the potential to improve the construction process. The study also revealed that blockchain technology will significantly affect the construction supply chain in a positive manner.

This research was carried out in the South-western region which is one of the six geo-political zones in Nigeria using a cross-sectional survey method. The study holds implications not only for local construction practices but will also contribute to the broader discourse on national construction sector challenges and possible solutions.

The findings of this study will be immensely beneficial to both professionals, practitioners and stakeholders in the Nigerian construction industry in learning about the potential of blockchain technology application in improving the construction supply chain.

The study in this paper constructed and evaluated a conceptual framework by exploring the connections between the variables. The results have significant implications for the construction sector, as they provide avenues for enhancing the construction process and the overall supply chain. These findings are valuable for researchers examining the potential effects of blockchain technology on the construction supply chain.

The architecture, engineering and construction (AEC) industry is currently undergoing a paradigm shift as it integrates innovations such as digital twins (DT) in its activities. As a result, this study aims to ascertain the barriers affecting the implementation of digital twin (DT) technology in Nigeria’s AEC sector.

The study employed a quantitative approach using a questionnaire distributed via Google Forms, yielding 120 valid responses from built environment professionals in Nigeria. The data were subjected to statistical tests such as the Kolmogorov–Smirnov test, Cronbach’s alpha, descriptive statistics and the Kruskal–Wallis test. Hypotheses were validated through partial least squares structural equation modelling (PLS-SEM).

The study revealed that out of the 43 identified barriers, inadequate system integration, challenges in guaranteeing interoperability, university education on the subject is deficient, and new system compatibility with legacy systems are the main barriers to implementing DT for sustainable construction practices in the AEC Industry of Nigeria.

The study was conducted in Nigeria with a focus on the Federal Capital Territory. The study identified the barriers of DT in the construction sector.

This study developed and assessed a theoretical framework, examining the relationships between variables. The findings have important implications for the construction industry, offering opportunities to improve construction processes. Furthermore, the study will help improve sustainable practices within the built environment.

The study categorised the barriers of DT into the following: system integration; security-related; performance-related; organizational-related; data quality issues and environmental related issues.

This paper evaluates the benefits of harnessing artificial intelligence (AI) tools for safety compliance on construction projects in Nigeria.

This study employed a specialised approach by combining qualitative and quantitative approach. The study carried out a brief systematic literature review (SLR) to identify the variables of the study. These variables were prepared in a questionnaire which was distributed among professionals within the Nigerian construction sector using purposive sampling. A total of 140 questionnaires were retrieved. The collected data were analysed using Relative Importance Index (RII), Ginni’s Mean (GM) and exploratory factor analysis (EFA).

The analysis revealed that all the identified benefits hold considerable importance, with an average RII of 0.86, with real-time monitoring as the most prominent advantage. However, using the GM which was 0.861, the study identified “mitigation of hazards on worksites” as the stationary benefit of AI in safety compliance.

The study was conducted exclusively within Nigeria’s Federal Capital Territory, using a cross-sectional survey approach.

The results will be valuable for professionals and practitioners in the Nigerian construction sector, as they will acquire insights into the potential advantages of utilising AI tools for monitoring of safety compliance on construction projects.

The study adopted a robust approach by identifying the stationary benefit using the GM in combination with RII and EFA.