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Afful, A E, Ayarkwa, J, Acquah, G K K, Baah, B, Adjei, E K, Oduro, S and Asiedu-Ampem, G (2026) Towards the Delivery of Environmentally Sustainable Buildings in Ghana: Drivers of Capacity Building. International Journal of Construction Education and Research, 22(01), 27–52.
Andalib, M (2026) Predictive Modelling for Contract Selection in Construction Through Data Mining and Machine Learning: Insights from Agency Theory. International Journal of Construction Education and Research, 22(01), 138–63.
Dogan, Y O, Arditi, D and Irlayıcı Cakmak, P (2026) Corporate Universities in Building Construction Companies: Evidence from the U.S.. International Journal of Construction Education and Research, 22(01), 96–118.
Oke, A E, Aliu, J O, Tamunosa Ojurongbe, E, Aigbavboa, C O, Aghimien, D O and Ebekozien, A (2026) Investigation of Core and Future Competencies Needed for Quantity Surveyors in Nigeria. International Journal of Construction Education and Research, 22(01), 119–37.
Quaigrain, R A, Owusu-Manu, D, Edwards, D J and Danquah, D (2026) Investigating the relationship between organizational mindset orientation and project performance of large organizations in the Ghanaian construction industry. International Journal of Construction Education and Research, 22(01), 2–26.
Sands, K S and Suh, M J (2026) Roofers’ Perceptions on Topics of Heat Safety. International Journal of Construction Education and Research, 22(01), 53–71.
Seyed-Alangi, F, Parchami-Jalal, M and Noorzai, E (2026) The Challenges of Risk and Reward Sharing in the Implementation of Integrated Project Delivery Contracts in the Iranian Construction Industry. International Journal of Construction Education and Research, 22(01), 72–95.
Sharma, V C and Gupta, J K (2026) Artificial Intelligence in Construction: Multi-Stakeholder Strategies for Future Development. International Journal of Construction Education and Research, 22(01), 164–88.
- Type: Journal Article
- Keywords: Construction management; artificial intelligence; multi-stakeholder collaboration; sustainability; productivity;
- ISBN/ISSN: 1557-8771
- URL: https://doi.org/10.1080/15578771.2025.2486617
- Abstract:
While playing a vital role in global infrastructure development, the construction sector continues to grapple with issues of inefficiency, resource mismanagement, and environmental impact. Artificial intelligence (AI) has emerged as a transformative force with the potential to revolutionize construction practices. However, successful integration of AI requires a collaborative effort across various stakeholders. This research explores the multi-stakeholder dynamics of AI adoption in construction, analyzing the potential benefits, challenges, and key strategies for fostering successful collaboration. By examining existing literature and conducting a survey amongst key stakeholders, this study aims to contribute to a comprehensive understanding of how AI, coupled with a multi-stakeholder approach, can unlock a more productive, sustainable, and future-proof construction industry.