A model for contractors’ selection in Nigeria

D.R. Ogunsemi · Isaac Olaniyi Aje

42 citations0/0 files storedJournal of Financial Management of Property and Construction

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Construction Project Management and Performance Multi-Criteria Decision Making Public Procurement and Policy

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.

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References

2000Final contractor selection using the analytical hierarchy process 1997Evaluating contractor prequalification data: selection criteria and project success factors 1988Decision Criteria in Contractor Prequalification 2003A decision model proposal for construction contractor selection in Turkey 1994Factors influencing U.K. construction clients' choice of contractor 2004Contractor Performance Prediction Model for the United Kingdom Construction Contractor: Study of Logistic Regression Approach 1994Evaluating prequalification criteria in contractor selection 2001A fuzzy neural network approach for contractor prequalification

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2011Evaluating rework cost- A study of selected building projects in Niger State, Nigeria 2016The impact of rework and organisational culture on project delivery 2010Decision Support Systems (DSS) in Construction Tendering Processes

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