Research Article

A STUDY OF BIM CAPABILITIES FOR QUANTITY SURVEYING PRACTICE IN NIGERIA

1 Department of Quantity Surveying, Kaduna State University, Nigeria.
2 Faculty of Engineering, Environment and Computing, Coventry University, United Kingdom.
* Corresponding author: jobin.ishaya@kasu.edu.ng
Published: Jul, 2025
Pages: 193-217
Views: 131
Downloads: 67

Abstract

Purpose: This study investigates the impact of Building Information Modelling (BIM)–based cost estimating software on quantity surveying (QS) practice in Nigeria. It aims to evaluate the level of awareness, usage, and efficiency of BIM in cost management, while also identifying barriers and recommending strategies for wider adoption in the Nigerian construction industry.

Design/Methodology/approach: A descriptive survey research design was adopted, targeting construction professionals such as quantity surveyors, engineers, architects, and project managers. Data were collected using structured questionnaires, with responses analysed through Mean Item Score (MIS) and Pearson correlation tests using SPSS and Microsoft Excel. The reliability of the instrument was confirmed with a Cronbach’s alpha value of 0.96, indicating a high degree of internal consistency.

Findings: Results revealed that while 96.3% of professionals were aware of BIM, only 36.2% actively used it for cost estimation. A slight majority (55.9%) had adopted BIM-based estimation methods, while 44.1% continued to rely on traditional approaches. Autodesk, QS CAD, and Revit were the most recognised software. BIM demonstrated significant positive impacts on cost accuracy, planning efficiency, collaboration, and timely project delivery. However, challenges such as high training and implementation costs, lack of skilled personnel, inadequate ICT infrastructure, and resistance to change hindered broader adoption.

Research Limitations/Implications: The study was limited to a relatively small sample size and focused mainly on professionals within Nigeria. Broader regional comparisons and longitudinal studies could provide deeper insights into BIM adoption trends across developing countries.

Practical Implications: The findings highlight the need for investment in training, supportive policies, ICT infrastructure, and affordable software solutions to enhance BIM integration in cost estimation and QS practices.

Originality/Value: This study provides empirical evidence on BIM adoption in Nigeria’s QS practice, offering actionable insights for policymakers, construction stakeholders, and professional bodies seeking to bridge the gap between traditional and modern cost management practices.

References

  1. Abdullahi, A.M., Adbullahi, M., Gude, D.M. (2018). Evaluation of Building Information Modelling (BIM) Software Capabilities that support Quantity Surveying Practice in Nigeria. Proceedings Conference paper, (2018).
  2. Adeniyi, O., Adegbembo, T.F., Ojo, L.D. (2018). Assessment of Factors Influencing Ethical Behaviour of Quantity Surveyors in Nigeria. Proceedings of International Conference on Professionalism and Ethics in Construction held at Keyworth Center, London South Bank University, UK November 21-22, pp. 201-209.
  3. Al-Ashmori, Y. Y., Othman, I., Rahmawati, Y., Amran, Y. M., Sabah, S. A., Rafindadi, A. D. U., & Mikić, M. (2020). BIM benefits and its influence on the BIM implementation in Malaysia. Ain Shams Engineering Journal, 11(4), 1013-1019.
  4. Anthony A., A. (2021). Nigeria - Construction Sector. International Trade Administration | Trade.gov. Retrieved 1 November 2021, from [https://www.trade.gov/countrycommercial-guides/nigeria-construction-sector](https://www.google.com/search?q=https://www.trade.gov/countrycommercial-guides/nigeria-construction-sector)
  5. Ashworth, A. (2010), Cost Studies of Building, 5th ed., Pearson Prentice Hall, Harlow
  6. Autodesk (2007), BIM and Cost estimating, available at: [http://www.consortech.com/bim2/documents/BIM_cost_estimating_EN.pdf](https://www.google.com/search?q=http://www.consortech.com/bim2/documents/BIM_cost_estimating_EN.pdf)
  7. Azhar, S., Carlton, W., Olsen, D., & Ahmad, I. (2011). Building information modelling for sustainable design and LEED rating analysis. Automation in construction, 20(2), 217224.
  8. Babarinde, S. A. (2017) Assessment of The Adoption Level of Building Information Modelling by Selected Construction Professionals in Kwara-State. Unpublished bachelor’s degree Thesis in Department of Quantity Surveying, Federal University of Technology, Minna.
  9. Boon, J. (2009), Preparing for the BIM revolution, in 13th Pacific Association of Quantity Surveyors Congress (PAQS 2009), The Institution of Surveyors Malaysia, Malaysia, pp 33–40.
  10. Brewer, W. & Mendelson, M.I. (2003), Methodology and metrics for assessing team effectiveness. The International Journal of Engineering Education, 19, pp. 777–787.
  11. Bryde, D.M., Broquetas, and Volm, J.M. (2013). The Project Benefits of Building Information Modelling (BIM).’ Int. J. Proj. Manag., Vol. 31, pp. 971-980, 2013
  12. Campell, D, A., (2007) “Building Information Modeling: The Web3D Application for Aec.” In Web3D 2007, 2007, pp.73-177.
  13. Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approach. Sage publications.
  14. Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. psychometrika, 16(3), 297-334.
  15. Dawson, C. (2019). Introduction to Research Methods 5th Edition: A Practical Guide for Anyone Undertaking a Research Project. Robinson.
  16. Eastman, C., Teicholz, P., Sacks, R. and Liston, K. (2011), BIM Handbook: A Guide to Building Information Modeling, John Wiley & Sons, New Jersey
  17. Ezeokoli, F. O., Bert-Okonkwor, C. B. N., Okongwu, M. I., Fadumo, D. O., Ohaedeghasi, C. I., & Okoye, N. M. (2021). Factors Confronting the Present-Day Construction Practices in South-East, Nigeria: The Professionals’ View. Journal of Building Construction and Planning Research, 9(2), 160-169.
  18. Foster, B. BIM for Facility Management (2011): Design for Maintenance Strategy. Journal of Building Information Modelling, Spring, 2011, pp.18-19.
  19. Gayathri, N., Himal, S. J. and Ranadewa, K. A. T. (2013). BIM and future Quantity Surveying practice in Sri Lankan Construction Industry. The 2nd World Construction Symposium 2013: Socio-Economic sustainability in construction, 14-15, June 2013, Colombo, Sri Lanka.
  20. Groote, M.D. and Lefve-r, M. (2016) Driving Transformation Change in the Construction Value Chain. Building Performance Institute Europe (BPIE).
  21. Hardin, B. (2009). BIM and Construction Management: Proven Tools, and Workflows, Wiley Publishing Inc., Indianapolis.
  22. Ismail, N. A. A., Drogemuller, R., Deazley, S., Owen, R. (2016). A Review of BIM Capabilities for Quantity Surveying Practice. Proceedings of the MATEC Web of Conference, 00042 (2016), 1-7.
  23. Johnson, P., & Dubberley, J. (2000). Understanding Management Research. London: Sage.
  24. Jordani, D.A. BIM and FM: The Portal to Lifecycle Facility Management. Journal of Building Information Modelling. 2010.
  25. Kiani, I., Ghomi, S.K., Alerasoul, S. & Khoshnava, S.M. (2013), The barriers and implementation of Building Information Modeling (BIM) based on Integrated Project Delivery (IPD) in the construction industry. Conference paper February 2013, [http://www.researchgate.net/publication/272789020](https://www.google.com/search?q=http://www.researchgate.net/publication/272789020)
  26. Morovvati, S. (2021). Model-based cost estimation for infrastructure projects: a case study (Master's thesis, NTNU).
  27. Moses, T. and Hampton, G. (2017), Cost certainty: a lead driver for 5D building information modelling implementation, in 21st Pacific Association of Quantity Surveyors Congress (PAQS 2017), 24th- 25th July 2017, Vancouver, BC, Canada, pp 30-53.
  28. Mu'awiya, A. (2013). An Assessment of Readiness of the Nigerian Building Design Firms to Adopt Building Information Modelling Technology. Paper presented at The Fifth international conference for Construction Engineering and Project Management, ICCEPM California National Bureau of Statistics (NBS) Nigerian Construction Sector. First Quarter Report, 2019. [https://www.nigerianstat.gov.ng/](https://www.nigerianstat.gov.ng/)
  29. Nnamoko, C. E. (2021). Participation of Female Quantity Surveyors in the Nigerian Construction Industry (Doctoral dissertation).
  30. O’Gorman, K. and MacIntosh, R. (2015). "Mapping research methods". In O’Gorman, K. and MacIntosh, R. Research methods for business and management. Oxford: Goodfellow Publishers Ltd.
  31. Obiegbu, M.E. and Ezeokoli, F.O. (2014) Building Information Modelling (BIM), a Panacea for Timely Project Delivery. Being a Paper Delivered at River State Quantity Surveyor’s Week, Holding at the Arena Event Centre, Tombia Street, Port Harcourt, Nigeria
  32. Olatunji, O. and Sher, W. (2015), “Estimating in geometric 3D CAD”, Journal of Financial Management of Property and Construction, Vol. 20 No.1, pp.24-49.
  33. Olatunji, O.A. Sher, W. and Gu, N. (2010). Building Information Modelling and Quantity Surveying Practice. Emirates Journal for Engineering Research, 15(1)
  34. Olsen, D., & Taylor, J. M. (2017). Quantity take-off using building information modelling (BIM), and its limiting factors. Procedia Engineering, 196, 1098-1105.
  35. Patacas, J., Dawood, N., and Kassem, M. (2014) Evaluation of IFC and COBie as Data Sources for Asset Register Creation and Service Life Planning. 14th International Conference on Construction Applications of Virtual Reality in Construction and Conference on Islamic Architecture. Sharjah, UAE. 16-18.
  36. Saunders M, Lewis P, & Thornhill A. (2012). Research methods for business students. 6th edition, Pearson Education Limited.
  37. Succar, B., & Kassem, M. (2015). Macro-BIM adoption: Conceptual Structures. Automation in Construction, 57, 64-79.
  38. Usman, O.S., Oaikhena, E.O., Ojo, L.D.(2019). Benefits of Integrating 5D BIM in Cost Management Practices in Quantity Surveying Firms. Conference Paper
  39. Wahab, A., & Wang, J. (2021). Factors-driven comparison between BIM-based and traditional 2D quantity takeoff in construction cost estimation. Engineering, Construction and Architectural Management.
How to Cite

ISHAYA, J., ADEBAYO, J. A., GALADIMA, B. Y., BUBA, S. G., & IBRAHIM, E. (2025). A STUDY OF BIM CAPABILITIES FOR QUANTITY SURVEYING PRACTICE IN NIGERIA. Kaduna State University Environmental Sciences Journal, 5(1), 193-217. https://doi.org/10.66884/kesj.2025.rqm9ld6e

J. ISHAYA, J. A. ADEBAYO, B. Y. GALADIMA, S. G. BUBA, and E. IBRAHIM, "A STUDY OF BIM CAPABILITIES FOR QUANTITY SURVEYING PRACTICE IN NIGERIA," Kaduna State University Environmental Sciences Journal, vol. 5, no. 1, pp. 193-217, July 2025. doi: 10.66884/kesj.2025.rqm9ld6e

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