The Impact of Artificial Intelligence in Building Technology for Sustainable Development amid Economic Uncertainty in Rivers State, Nigeria
Abstract
This study investigated the impact of artificial intelligence (AI) in building technology for sustainable development amid economic uncertainty in Rivers State. The objectives were to examine AI applications in smart materials, AI-driven design, and AI building project management. These three items formed the research questions and hypotheses. A descriptive survey design was employed, involving a sample of 150 lecturers and instructors from tertiary institutions offering building technology programme. The study tested three hypotheses at .05 level of significance using statistical analysis. The reliability of the instrument was confirmed with a Cronbach’s alpha coefficient of .85, indicating high consistency. The findings demonstrated that AI significantly contributed to cost reduction, operational efficiency, and sustainability in the construction sector. Based on the results, the study recommended the integration of AI-related content into educational curricula, fostering collaborations between academia and industry, and encouraging further research into AI innovations for Building technology and the construction industry. These AI measures are essential for enhancing sustainable development in the context of economic challenges.
How to Cite This Article
Obi Messiah Chinedu, Dr. Silverline Igweagbara (2024). The Impact of Artificial Intelligence in Building Technology for Sustainable Development amid Economic Uncertainty in Rivers State, Nigeria . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 5(6), 1450-1455.
References
- 1. Ahmed M, Williams R. Artificialintelligenceinconstructionmanagement: Enhancingsustainabilityandreducingdelays. Journalof Engineering Management.2019;34(2\:14560.
- 2. Choi J, Jung K, Lim S. Artificialintelligence-drivensustainabledesignoptimization: Acasestudy. Journalof Sustainable Designand Innovation.2021;12(3\:4560.
- 3. Hardian R, Liang Z, Zhang X, Szekely G. Artificialintelligence: Thesilverbulletforsustainablematerialsdevelopment. Green Chemistry.2020;22:75218. https://doi. org/10.1039/D0GC02956D
- 4. Johnson K, Brown L, Smith T. AI-drivenarchitecturaldesigns: Impactsonefficiencyandsustainability. International Journalof Sustainable Construction.2020;12(4\:22740.
- 5. Kamardeen I. AIinconstructionprojectmanagement: Aroadmapforinnovation. International Journalof Construction Management.2022;28(2\:15670.
- 6. Khosrowshahi F, Arayici Y. Roadmapforimplementationof BIMinthe UKconstructionindustry. Engineering, Constructionand Architectural Management.2012;19(6\:61035. https://doi. org/10.1108/
- 96999812112775317. Parveen S, Rao P. Applicationsofsmartmaterialsinsustainableconstruction. Materials Today: Proceedings.2020;33(7\:18.
- 8. Richard K. Building Technology: Structures, Materialsand System.2018.
- 9. Smith J, Patel R. Smartmaterialsandsustainability: Exploring AIintegrationinconstruction. Sustainable Building Technologies.2021;8(3\:31228.
- 10. Szekely G, Liang Z, Hardian R. Applicationsof AIinsustainableconstruction. Sustainability.2020;13(17\:9884. https://doi. org/10.3390/su
- 1317988411. Ugwu OO, etal. Artificialintelligenceandsustainableconstruction: Areview. Sustainability.2021;13(17\:9884. https://doi. org/10.3390/su
- 1317988412. Ugwu OO, Eze GN, Obi AA. Theimpactofbuildingtechnologyoneconomicresiliencein Nigerianconstruction. Journalof African Construction Studies.2021;15(3\:21025.
- 13. UNESCO. Artificialintelligenceineducationandcited2023 Aug
- 14. United Nations. Transforming Our World: The2030 Agendafor Sustainable Development. United Nations General Assembly;2015.
- 15. World Economic Forum. Artificialintelligenceforcited
- 202316. Wulfinghoff D. Sustainable Building Technology: AGuideto Materialsand Methods.2018.
- 17. Zhao Y, Zhang X, Wu C. AI-driveninnovationsinsustainableconstruction: Evidencefromemergingeconomies. Sustainable Development Journal.2020;28(5\:32031. https://doi. org/10.1002/sd.2035