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Amadi, A I and Higham, A (2017) Latent geotechnical pathogens inducing cost overruns in highway projects. Journal of Financial Management of Property and Construction, 22(03), 269-85.
Griffiths, R, Lord, W and Coggins, J (2017) Project bank accounts: the second wave of security of payment?. Journal of Financial Management of Property and Construction, 22(03), 322-38.
Kissi, E, Adjei-Kumi, T, Badu, E and Boateng, E B (2017) Factors affecting tender price in the Ghanaian construction industry. Journal of Financial Management of Property and Construction, 22(03), 252-68.
Kissi, E, Adjei-Kumi, T, Badu, E and Boateng, E B (2017) Factors affecting tender price in the Ghanaian construction industry. Journal of Financial Management of Property and Construction, 22(03), 252-68.
Lam, T Y M and Siwingwa, N (2017) Risk management and contingency sum of construction projects. Journal of Financial Management of Property and Construction, 22(03), 237-51.
- Type: Journal Article
- Keywords: risk factors; regression analysis; construction projects; contingency sum estimation
- ISBN/ISSN:
- URL: https://doi.org/10.1108/JFMPC-10-2016-0047
- Abstract:
Purpose Most organisations do not have established guidelines for the estimation and management of contingency funds. The purpose of this paper is to identify the risk factors at the construction phase causing project cost overruns, and a reliable method for the estimation of contingency sum is established. Design/methodology/approach Combined qualitative–quantitative exploratory methods were used. Qualitative interviews were conducted with five expert practitioners working in a Public Works Department in Zambia to determine how contingency sum is estimated and to explore what risk factors should be considered. Quantitative regression used cost and risk data collected from 30 recently completed building and refurbishment projects. Findings The qualitative study indicated that the project budget overruns constitute a major issue. This finding is in line with the paired-samples t-test results which show that the difference between the total variations and the initial contingency sum tends to be significant. The regression analysis proved that the contingency sum was positively correlated to the estimated contract sum. The qualitative interview results and Pearson correlation analysis also showed that contingency sum and project complexity tend to have a significant correlation. The research also demonstrates that the type of works is not a direct significant factor. Research limitations/implications Because the projects used for the study were relatively short, duration of the project and economic factor of tax rate, exchange rate and inflation rate were not examined in the multiple regression analysis. Further studies should be conducted on longer projects to test out whether these risk factors are significant in influencing the project contingency. Practical implications The results demonstrate that the multiple regression method can be applied as a reliable tool to predict contingency sums. Accurate contingency sums and project budget estimates benefit construction clients and their project managers. Individual project conditions should be carefully examined when assessing the contingency. Originality/value This research establishes a reliable regression method for the assessment of the contingency for the pre-tender estimate which has significant impact on the project feasibility and cost control, using related risk factors involved in construction contingency and client’s contingency.
Lowies, B, Viljoen, C and McGreal, S (2017) Investor perspectives on property crowdfunding: evidence from Australia. Journal of Financial Management of Property and Construction, 22(03), 303-21.
Oyegoke, A S and Al Kiyumi, N (2017) The causes, impacts and mitigations of delay in megaprojects in the Sultanate of Oman. Journal of Financial Management of Property and Construction, 22(03), 286-302.