Sustainable Project Delivery of Public Procurement Projects: Contractor Selection Procedure

  • James Akanmu
  • Oluwaseyi AjayiEmail author
  • Olusegun Akinsiku
Conference paper


Selecting a competent contractor is a yardstick for sustainable project delivery. It ensures the project is completed within time, cost and quality standard. This study assesses the procedure of Nigeria’s public procurement Act of 2007 and identifies the frequency of use of prequalification criteria. The research is both exploratory and quantitative in nature. The population for the quantitative study was public clients and consulting organization. Stratified random sampling technique was used. The sample size was calculated using Cochran formula. A total of 300 questionnaires were distributed using Cochran formula to generate the sample size. From the sample size calculated, 196 were from consulting firms and 31 from public clients’ organization. Statistical Package for Social Science (SPSS) 21st version was used to analyse the data using frequency, percentage, relative importance index (RII) and t-test. There was an agreement between public clients’ and consultant organisation on the frequency of use of contractors’ prequalification criteria. In conclusion, it is important to consider the method of procurement, size of the project and complexity of the project to ensure the optimum balance of experience, positive references, working chemistry and teamwork.


Contractors Prequalification Project delivery Public Procurement Tendering 


  1. 1.
    Idiake, J.E., Shittu, A.A., Anunobi, A.I., Akanmu, W.P.: A comparative analysis of Traditional and Design & Build method of procurement in the Nigerian construction Industry. Int. J. Constr. Eng. Manage. 4(1), 1–12 (2015)Google Scholar
  2. 2.
    Khodadadi, S.A.T., Kumar, B.D.: Contractor selection with risk assessment by using AHP Fuzzy method. Int. J. Adv. Eng. Technol. 5(2), 311–318 (2013)Google Scholar
  3. 3.
    Udensi, C.U.: Problems in the implementation of due process. In: Proceedings of the 35th Annual General Meeting/Conference of Nigeria Institute of Building (NIOB) at Abia State, 10th–14th August 2005 (2005)Google Scholar
  4. 4.
    Wong, C.H., Holt, G.D.: Developing a contractor classification model using a multivariate discriminant analysis approach. RICS Found. Res. Pap. Ser. 4(20), 1–23 (2004)Google Scholar
  5. 5.
    Salama, M., El Aziz, H.A., El Sawah, H., El Samadony, A.: Investigating the criteria for contractors’ selection and bid evaluation in Egypt. In: Boyd, D. (ed.) Proceeding 22nd Annual ARCOM Conference, 4–6 September 2006, Birmingham, UK, Association of Researchers in Construction Management, pp. 531–540 (2006)Google Scholar
  6. 6.
    Awal, S.M.: Contractor Selection in Ghana. Unplished postgraduate thesis at Kwame Nkrumah University, Department of Building, Accra, Ghana (2010)Google Scholar
  7. 7.
    Holt, G.D.: Which contractor selection methodology? Int. J. Project Manage. 16(3), 153–164 (1998)CrossRefGoogle Scholar
  8. 8.
    Wong, C.H., Nicholas, J., Holt, G.D.: Using multivariate techniques for developing contractor classification models. Eng. Constr. Architect. Manage. 10(2), 99–116 (2003)CrossRefGoogle Scholar
  9. 9.
    Topeu, Y.I.: A decision model proposal for construction contractor selection in Turkey. Build. Environ. 39, 469–481 (2004)CrossRefGoogle Scholar
  10. 10.
    Zavadskas, E.K., Vilutiene, T., Turskis, Z., Tamosaitiene, J.: Contractor selection for construction works by applying SAW – G and Topsis Grey techniques. J. Bus. Econ. Manage. 11(1), 34–55 (2010)CrossRefGoogle Scholar
  11. 11.
    Ng, S.T., Smith, N.J., Skitmore, Martin: A case based reasoning model for contractor prequalification. Int. J. Constr. Inf. Technol. 6(10), 47–61 (1998)Google Scholar
  12. 12.
    Xiao, H.: An analysis of the selection of project contractor in the construction management process. Int. J. Bus. Manage. 6(3), 184–189 (2011)Google Scholar
  13. 13.
    Cristobal, J.R.S.: Contractor selection using multi criteria decision making methods. J. Constr. Eng. Manage. 138(6), 751–758 (2012)CrossRefGoogle Scholar
  14. 14.
    Hatush, Z., Skitmore, M.: Contractor selection using multi - criteria utility theory: an additive model. Build. Environ. 33(2–3), 105–115 (1998)CrossRefGoogle Scholar
  15. 15.
    Lagos Population (2018). Accessed 28 Feb 2019
  16. 16.
    Aderemi, A.E., Oyeyemi, B.F.: Legal redress for losses sustained through building collapse in Nigeria, BF, pp. 1–17 (2006)Google Scholar
  17. 17.
    Campbell, J.: Africa’s new biggest city: Lagos, Nigeria (2012). http://www.TheAtlantic.Com/international/. Accessed 9 Oct 2014
  18. 18.
    Adelekan, I.: Private sector investment decisions in building and construction: increasing, managing and transferring risks; case study of Lagos, Nigeria. Background paper prepared for the Global assessment report on disaster risk reduction, Geneva, Switzerland (2013)Google Scholar
  19. 19.
    Asika, N.: Research Methodology in the Behavioural Sciences. Longman Nigeria Plc, Lagos (2002)Google Scholar
  20. 20.
    Field, A.: Discovering Statistics Using SPSS. Sage Publication Ltd, London (2009)zbMATHGoogle Scholar
  21. 21.
    Mangitung, D.M., Emsley, M.W.: Decision criteria for periodic prequalification in the UK construction industry. In: Proceedings of the RICS foundation construction and building research conference, Nottingham Trent University, 5–6 September, pp. 1–13 (2002)Google Scholar
  22. 22.
    Ajayi, O.M.: Multi-criteria decision making model for contractor selection for construction projects in Nigeria. In: West Africa Built Environment Research (WABER) Conference, 27–28 July, Accra, Ghana, pp. 74–81 (2010)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • James Akanmu
    • 1
  • Oluwaseyi Ajayi
    • 2
    Email author
  • Olusegun Akinsiku
    • 2
  1. 1.Department of Civil and Environmental EngineeringUniversity of LagosLagosNigeria
  2. 2.Department of Quantity SurveyingUniversity of LagosLagosNigeria

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