ASSESSING THE ADOPTION OF INDUSTRY 4.0 IN THE NIGERIAN CONSTRUCTION INDUSTRY: A CASE STUDY OF CONSTRUCTION PROFESSIONALS IN ABUJA AND PORT HARCOURT
Abstract
The focus of the study is improving the adoption of industry 4.0 in the Nigerian construction industry with special reference to construction professionals in Abuja and Port Harcourt. The aim of this study is to develop strategies that will improve the adoption of industry 4.0 among construction professionals in the Nigerian construction industry. The specific objectives are to determine the level of awareness of Industry 4.0 as a performance tool in the Nigerian construction industry; to determine the impact of industry 4.0 on the efficient project delivery in the Nigerian construction industry. The research design adopted in the study is mixed research design which combines quantitative and qualitative research techniques. The target population comprises of Registered Quantity surveyors, Architects, Engineers, Estate managers and Urban Designers which gives a total of 747 respondents. A sample size of 261 was gotten through Taro Yamane. Based on the nature of the objectives, OLS regression techniques were used to ascertain the impact of industrial 4.0 on the construction industry in Nigeria, efficient project delivery becomes the dependent variable whereas robotics, building information modelling, drones, and artificial intelligence were used as the independent variable. The findings of the study reveals that The direction of the relationship between the underlisted variables are majorly positive except the drones which implies that increase in the adoption of robotics, drones, building information modelling will lead to simultaneous increase in the efficient project delivery in Nigeria. The study also concludes that the signs of all the variable coefficient from the estimated model are not totally in line with a priori expectations. Robotics, building information modelling and drones, have a positive relationship with efficient project delivery, which conforms to the expected sign whereas artificial intelligence has negative relationship with efficient project delivery which does not conforms to the expected signs. The study recommends that Professionals are encouraged to continue to participate in learning and training in the field of technology in order to know ways in which industry 4.0 can be beneficial to their work processes
Keywords:
Industry 4.0, Nigerian construction industry, project delivery, robotics, Building Information Modeling (BIM)Downloads
Published
DOI:
https://doi.org/10.5281/zenodo.15183142Issue
Section
How to Cite
License
Copyright (c) 2025 ISAIAH ONYEKA OBED, PROF. BANKOLE AWUZIE, DR. HENRY C AJAELU

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Afolabi, A., Ibem, E., Aduwo, E., & Tunji-Olayeni, P. (2020). Digitizing the grey areas in the Nigerian public procurement system using e-procurement technologies. International Journal of Construction Management. https://doi.org/10.1080/15623599.2020.1774836
Aghimen, D. O., Aigbavboa, C. O., Oke, A. E., Thwala, D., & Moripe, P. (2020). Digitalization of construction organizations: A case for digital partnering. International Journal of Construction Management. https://doi.org/10.1080/15623599.2020.1745134
Cheung, S. (2018). Developing and laboratory testing a smart system for automated falsework inspection in construction. Journal of Construction Engineering and Management, 144. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001530
Chhetri, U. K. (2017). Top 10 construction industry trends to watch for in 2021. BigRentz. Available at: https://www.bigrentz.com/blog/construction-trends
Deloitte, M. (2020). Construction costs analysis and its importance to the economy. Science Direct, 34, 35–42. https://doi.org/10.1016/j.scied.2020.03.003
Dallasega, P. (2018). The automation of the construction industry. Construction Business Owner. Available at: https://www.constructionbusinessowner.com/technology/automation-construction-industry
DiMaggio, J. J., & Powell, A. F. T. (1983). Standardizing ethical design for artificial intelligence and autonomous systems. Computer, 50(5), 116–119. https://doi.org/10.1109/MC.2017.4642110
Essan, L. (2014). Looking to the future of the construction industry. Medium. Available at: https://casspolzin.medium.com/looking-to-the-future-of-the-construction-industry-5e406fcf6a81
Fengque, B. T. (2017). Construction automation: Research areas, industry concerns, and suggestions for advancement. Automation in Construction, 94, 22-38. https://doi.org/10.1016/j.autcon.2018.07.001
Mills, A. (2019). The construction industry as a loosely coupled system: Implications for productivity and innovation. Construction Management and Economics, 37(10), 621–631. https://doi.org/10.1080/01446193.2019.1616244
Myers, M. (2010). The Farmer review of the UK construction labor model. In M. Farmer (Ed.), Modernise or Die: The Farmer Review of the UK Construction Labor Market. Available at: https://www.gov.uk/government/publications/construction-labor-market-in-the-uk-farmer-review
Ngai, J. (2019). Implications of construction 4.0 to the workforce and organizational structures. The International Journal of Construction Management, 1-13. https://doi.org/10.1080/15623599.2019.1693071
Nassereddine, H., Schranz, C., Bou Hatoum, M., & Urban, H. A. (2020). Comprehensive map for integrating augmented reality during the construction phase. In Creative Construction E-Conference 2020, Budapest. https://doi.org/10.3311/CCC2020-001
Oladinrin, N., Ogunsemi, U., & Aje, F. (2012). Evaluating virtual reality and augmented reality training for industrial maintenance and assembly tasks. Interactive Learning Environments, 23(6), 778–798. https://doi.org/10.1080/10494820.2012.696042
Odeyinka, P., & Yusuf, A. (2017). Shaping the future of construction: A breakthrough in mindset and technology. World Economic Forum (WEF). Available at: https://www.bcgperspectives.com/Images/Shaping_the_Future_of_Construction_may_2016.pdf
Oke, A. E., Aghimen, D. O., Aigbavboa, C. O., & Koloko, N. (2018). Challenges of digitalization collaboration in the South African construction industry. In Proceedings of the International Conference on Industrial Engineering and Operations Management, Indonesia, March 6-8, 2018.
Pistorius, C. (2017). The impact of emerging technologies on the construction industry. Deltahedron. Available at: https://www.deltahedron.co.uk
Rhodes, K. (2013). Five ways the construction industry will benefit from augmented reality. LinkedIn Pulse. Available at: https://www.linkedin.com/pulse/five-ways-construction-industry-benefit-augmented-reality-rhodes
Ruef, B., & Scott, D. P. (1998). Information systems research: Relevant theory and informed practice. Springer, Heidelberg R and D. https://doi.org/10.1007/978-3-642-72053-7
Wu, Z., Yu, A. T. W., & Shen, L. (2017). Investigating the determinants of contractor’s construction and demolition waste management behavior in mainland China. Waste Management, 60, 290–300. https://doi.org/10.1016/j.wasman.2017.09.021