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Artificial intelligence in the Nigerian construction industry: opportunities and challenges

Kabir Ibrahim et al.

Journal of Financial Management of Property and Construction2026https://doi.org/10.1108/jfmpc-05-2024-0037article
AJG 1ABDC C
Weight
0.50

What the paper says

Purpose Although artificial intelligence (AI) technologies are increasingly adopted worldwide, their diffusion in the Nigerian construction industry (NCI) remains limited. This study aims to investigate the transformative opportunities presented by AI and the critical challenges hindering its adoption in the NCI, framed by the technology acceptance model (TAM) and organisational change management theory (OCMT). Design/methodology/approach Using a quantitative approach within a positivist paradigm, data were collected via an electronic survey distributed through convenience sampling to professionals across government agencies, consulting firms and contractors. The data were analysed using descriptive and inferential statistics. Findings Results reveal AI’s potential to revolutionise operational efficiency and decision-making within the NCI. However, adoption is constrained by insufficient digital infrastructure and limited technical expertise. Addressing these barriers, particularly from the perspectives of individual acceptance (TAM) and organisational readiness (OCMT), is essential to fully harness AI’s transformative capabilities. Originality/value This study uniquely examines the socio-economic, technical and cultural factors shaping AI adoption in the NCI. By offering context-specific knowledge and strategic interventions, it informs policymakers, consultants and contractors of practical pathways for AI integration. The research contributes to the global discourse on AI in construction, especially in developing economies, providing a framework to foster innovation and sustainability in comparable contexts.

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Cite this paper

https://doi.org/https://doi.org/10.1108/jfmpc-05-2024-0037

Or copy a formatted citation

@article{kabir2026,
  title        = {{Artificial intelligence in the Nigerian construction industry: opportunities and challenges}},
  author       = {Kabir Ibrahim et al.},
  journal      = {Journal of Financial Management of Property and Construction},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1108/jfmpc-05-2024-0037},
}

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Artificial intelligence in the Nigerian construction industry: opportunities and challenges

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.