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Edwards, D J and Holt, G D (2006) Hand-arm vibration controls: a perspective based on performance and cost dimensions. Journal of Financial Management of Property and Construction, 11(01), 21–32.

Júnior, J D R L and Alencar, C T D (2006) The office buildings market in São Paulo: time cycles to absorb vacant space and to recover investment attractiveness. Journal of Financial Management of Property and Construction, 11(01), 59–71.

Meeampol, S and Ogunlana, S O (2006) Factors affecting cost and time performance on highway construction projects: evidence from Thailand. Journal of Financial Management of Property and Construction, 11(01), 3–20.

Ngowi, A B, Pienaar, E, Akindele, D O and Iwisi, D S (2006) Globalization of the construction industry: a review of infrastructure financing. Journal of Financial Management of Property and Construction, 11(01), 45–58.

Ogunsemi, D R and Aje, I O (2006) A model for contractors’ selection in Nigeria. Journal of Financial Management of Property and Construction, 11(01), 33–44.

  • Type: Journal Article
  • Keywords: Model; contractors; selection criteria; Nigeria
  • ISBN/ISSN: 1366-4387
  • URL: https://doi.org/10.1108/13664380680001078
  • Abstract:
    Construction projects in Nigeria are generally characterized by cost and time overrun, substandard work, disputes and abandonment; emanating from several factors of which the wrong choice of contractors is a key factor. This study evaluated the criteria adopted by clients and consultants in contractors’ selection in Nigeria. Data were collected with the aid of questionnaire administered on clients and consultants within the Nigerian construction industry. Also prequalification/bid evaluation scores for eighty contractors were collected based on the criteria used in assessing them. The data collected were analysed with the aid of mean score and regression analysis. The result showed that past performance; contractors’ experience; workmanship quality; tender sum; and plant and equipment were the most important criteria for contractors’ prequalification/bid evaluation in Nigeria. A contractors’ selection model was eventually derived based on some of the identified factors. The goodness of fit of the model as defined by the value of r2 was found to be 99%. This therefore implies that only 1% is explained by other independent variables not included in the regression equation; hence the suitability of the model for contractors’ selection in Nigeria.