Identification and Impact Assessment of Factors Influencing Cost Performance of Construction Project Delivery in Nigeria

This study examined identification and impact assessment of factors influencing cost performance of construction project delivery in Nigeria. The study is guided by two objectives, two research questions and two null hypotheses tested at a 0.05 level of significance. A descriptive survey research design was adopted for the study. The study population comprised 800 construction professionals, including quantity surveyors, architects, engineers, builders, and project managers, with a sample size of 421 respondents. A multi stage sampling technique involving stratified and simple random sampling was used to ensure fair representation. Data were collected using a structured questionnaire designed in sections to address the study variables. Face and content validation of the instrument was carried out by experts in construction management and related fields. The reliability of the instrument was determined using the Cronbach Alpha method through a pilot study, yielding an acceptable coefficient above 0.70. The collected data were analyzed using factor analysis, mean and standard deviation, to answer the research questions, and inferential statistics, one way analysis of variance, to test the null hypotheses at a 0.05 level of significance. Findings revealed that economic and financial-related factors such as unstable economic conditions, economic recession, material price fluctuations, high land acquisition costs, and payment delays as major determinants of cost performance across Rivers, Imo, and Abia States, and these factors had a strong effect on budget adherence and project success. The study further revealed that there were no significant differences in the views of respondents. Based on the findings, recommends that construction stakeholders in Rivers, Imo, and Abia States should adopt effective project planning, realistic budgeting, and strong risk and cost management practices to reduce the impact of economic, managerial, technical, and institutional factors affecting construction cost performance.

Cost performance, Cost overruns, Budget adherence

1. Alabi, O. (2018). Risk management and financial control in Nigerian construction projects. Journal of Engineering, Project, and Production Management, 8(2), 85–96. https://doi.org/10.32738/JEPPM.201802.85 [Google Scholar] [Crossref]

2. Ashworth, A., & Perera, S. (2018). Cost studies of buildings (6th ed.). Routledge. ISBN: 978-1138674693 [Google Scholar] [Crossref]

3. Akinmoladun, O. I., & Olatunji, S. O. (2021).Impact of variation orders on cost and time performance of building projects in Nigeria. Journal of Construction in Developing Countries, 26(2), 67–85. [Google Scholar] [Crossref]

4. Aje, I. O., & Ogunsemi, D. R. (2021).Effects of delayed payments on contractors’ performance in Nigeria. Journal of Financial Management of Property and Construction, 26(3), 350–366. [Google Scholar] [Crossref]

5. Adegboyega, O. T., & Olufemi, I. R. (2021)."Effects of Inadequate Project Planning on Cost Overruns in Nigerian Construction Projects."Journal of Construction Management, 26(3), 201-213. [Google Scholar] [Crossref]

6. Akinmoladun, O., & Olugbenga, A. (2021)."The Impact of Design Changes Cost and Budgeting in Construction Projects."International Journal of Project Management, 36(1), 112-120. [Google Scholar] [Crossref]

7. Alotaibi, M., & Mubarak, S. (2021).Labour shortage and its impact on construction project performance in Saudi Arabia.Journal of Engineering, Design and Technology, 19(5), 1102–1118. [Google Scholar] [Crossref]

8. Adebayo, A., & Alabi, O. (2021). Fraud and corruption in the Nigerian construction industry: Implications for project budgets. Journal of Financial Crime in Construction, 28(2), 321–338. DOI: 10.1108/JFC-02-2021-0021 [Google Scholar] [Crossref]

9. Akinmoladun, F., & Oloyede, S. (2022). Material shortages, cost escalation, and project delays in the Nigerian construction industry. International Journal of Construction Management, 22(5), 401–420. DOI: 10.1080/15623599.2021.2034567 [Google Scholar] [Crossref]

10. Ajaelu, C. H., & Maduka, I. A. (2025).Ranking critical cost overrun factors based onprofessional perceptions across the construction sector in South-East Nigeria.Irish International Journal of Engineering and Applied Sciences.https://doi.org/10.5281/zenodo.18386682 [Google Scholar] [Crossref]

11. Bamidele, O., & Aigbavboa, C. (2020). Leadership competencies and project performance in the Nigerian construction industry. Construction Economics and Building, 20(4), 115–130. [Google Scholar] [Crossref]

12. Bamidele, J., & Olufemi, J. (2020). Leadership, coordination, and construction project performance in Nigeria. Journal of Construction in Developing Countries, 25(3), 45–63. [Google Scholar] [Crossref]

13. Chan, D. W. M., & Kumaraswamy, M. M. (2020).A study of the factors affecting construction time and cost performance in Hong Kong.Construction Management and Economics, 38(2), 145–160. [Google Scholar] [Crossref]

14. Eze, C., & Ifeanyi, J. (2023). E-procurement tools and cost efficiency in construction projects in Rivers State, Nigeria. Journal of Construction in Developing Countries, 28(2), 101–119. https://doi.org/10.21315/jcdc2023.28.2.5 [Google Scholar] [Crossref]

15. Eze, E. C., & Idiake, J. E. (2021). Cost escalation factors in Nigerian construction projects. International Journal of Construction Management, 21(10), 1042–1053. [Google Scholar] [Crossref]

16. Eshofonie, A. (2008). Public-Private Partnerships in Nigeria's Infrastructure Development. Journal of Construction Research, 8(1), 45-58. [Google Scholar] [Crossref]

17. Eriksson, P. E., Larsson, J., & Pesämaa, O. (2019).Managing collaborative procurement: Effects on cost and project performance.Construction Management and Economics, 37(8), 450–465. [Google Scholar] [Crossref]

18. Emmanuel, J., & Anjiba, P. (2020). Skilled labour shortage in construction industry. Journal of Engineering and Built Environment, 12(1), 33–47. [Google Scholar] [Crossref]

19. Flyvbjerg, B. (2018).The iron law of megaprojects: Over budget, over time, under benefits, over and over again.Oxford Review of Economic Policy, 34(4), 574–597. [Google Scholar] [Crossref]

20. Ikwueze, S. N., & Nnadi, E. E. (2024). Impact of project management practices on cost and time overruns in construction projects in Nigeria. Newport International Journal of Scientific and Experimental Sciences, 5(2), 26–34. [Google Scholar] [Crossref]

21. Kelechi, G., Amadi, A. I., Chinemerem, N. P. (2025). Influence of Sustainable Construction Practices on Timely Delivery of Building Projects in Port Harcourt Metropolis, PM World Journal, Vol. XIV, Issue IX, September. [Google Scholar] [Crossref]

22. Kelechi, G., Chinemerem, N. P. (2025). Factors Influencing Cost of Construction Project Delivery in Rivers State, Nigeria; PM World Journal, Vol. XIV, Issue XI, November. [Google Scholar] [Crossref]

23. Love, P. E. D., Ika, L. A., & Matthews, J. (2020).Building information modelling andconstruction cost performance: A project management perspective.International Journal of Project Management, 38(3), 131–142. [Google Scholar] [Crossref]

24. Mangvwat, J. S., Ewuga, D. J., & Izam, Y. D. (2020). Time and cost performance of fixed pricebuilding contracts in tertiary institutions in Nigeria. MATEC Web of Conferences, 312, 06003. https://doi.org/10.1051/matecconf/202031206003 [Google Scholar] [Crossref]

25. Nnadi, E.O.E., & Najjobyo, J. (2025). Financial and operational effects of cost estimation inaccuracy, material price volatility, and payment delays in Nigerian construction projects. Smart Construction and Sustainable Cities. Springer. DOI: 10.1007/s44268-025-00076-4 [Google Scholar] [Crossref]

26. Ojo, T., & Oladokun, M. (2020). Infrastructure development and socio-economic growth: The Nigerian experience. Nigerian Journal of Construction Economics, 9(2), 112–126. [Google Scholar] [Crossref]

27. Olawale, F., & Sun, M. (2015). Cost and time control in construction projects: Insights from Nigerian projects. International Journal of Project Management, 33(4), 857–866. https://doi.org/10.1016/j.ijproman.2014.10.010 [Google Scholar] [Crossref]

28. Okoye, P. U., et al. (2016). Cost control practices in construction industry in Nigeria: An empirical study. International Journal of Management, Information Technology and Engineering, 4(2), 1–12. [Google Scholar] [Crossref]

29. Olanipekun, A. O., & Saka, A. (2019). The Role of the Construction Industry in Nigeria's Economic Development. Nigerian Journal of Construction Management, 10(1), 1-12. [Google Scholar] [Crossref]

30. Oyewobi, L. O., Ganiyu, B. O., Oke, A. E., & Ola-Awo, A. W. (2016). Determinants of cost overruns in Nigerian construction projects. Journal of Engineering, Design and Technology, 14(1), 142–159. [Google Scholar] [Crossref]

31. Olatunji, O. A., & Oke, A. E. (2023). Assessment of construction material price volatility and its impact on project delivery in Nigeria. Journal of Engineering, Design and Technology, 21(5), 1321–1338. [Google Scholar] [Crossref]

32. Ogunsemi, D. R., & Awodele, O. A. (2022). Macroeconomic instability and cost performance of building projects in Nigeria. Journal of Financial Management of Property and Construction, 27(2), 185–201. [Google Scholar] [Crossref]

33. Olawumi, T. O., & Chan, D. W. M. (2020). Identifying and prioritizing causes of project cost overrun in Nigeria. International Journal of Managing Projects in Business, 13(3), 566–589. [Google Scholar] [Crossref]

34. Olatunji, O.A., Orundami, A.O., & Ogundare, O. (2018). Causal relationship between material price fluctuation and project outturn costs. Built Environment Project and Asset Management, 8(4), 358–374. [Google Scholar] [Crossref]

35. Ogundipe, O. O., & Akinlabi, E. T. (2022)."Impact of Economic Instability on Construction Project Cost Performance in Nigeria. “International Journal of Construction Management, 15(3), 103-115. [Google Scholar] [Crossref]

36. Ogunsemi, D., & Akinmoladun, F. (2021). Payment delays and financial performance of construction projects in Nigeria. Journal of Construction Project Management, 13(4), 20218. OI: 10.1080/23311916.2021.1912345 [Google Scholar] [Crossref]

37. Obianyo, J., Okey, E., & Alaneme, G. U. (2022). Assessment of cost overrun factors in construction projects in Nigeria using fuzzy logic. Innovative Infrastructure Solutions, 7, 304.https://doi.org/10.1007/s41062-022-00908-7 [Google Scholar] [Crossref]

38. Owusu-Manu, D. G., et al. (2020).Corruption and procurement inefficiencies in Ghanaian construction projects.Journal of Engineering, Design and Technology, 18(4), 876–889. [Google Scholar] [Crossref]

39. Olatunde, N. A. (2026). Critical performance indicators of public infrastructure projects in the fourth industrial revolution era in Nigeria. Journal of Construction in Developing Countries. Advance online publication. https://doi.org/10.1080/15623599.2026.2631156 [Google Scholar] [Crossref]

40. Putri, D., & Hadi, S. (2021).Climate variability and its effect on construction cost and time performance.International Journal of Construction Management, 21(9), 1012–1024. [Google Scholar] [Crossref]

41. Rahman, I. A., Memon, A. H., & Karim, A. (2019).Significant factors causing cost overruns in construction projects in Malaysia.Journal of Civil Engineering and Management, 25(7), 654–668. [Google Scholar] [Crossref]

42. Zhang, X., Wu, Y., & Shen, L. (2022).Critical factors influencing cost overrun in construction projects: A fuzzy synthetic evaluation approach.Buildings, 12(11), 2028. [Google Scholar] [Crossref]

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