Abstract

<p><em>Setting cost, time and quality targets for civil engineering project is motivated by the need to have an instrument that would dictate and control activities of the contractor towards delivery of product that meets client’s expectations. This study, which examines the relationship between cost, time and quality performance of civil engineering project, is premised on the importance of showing whether cost, time and quality performance of civil engineering project demonstrates different correlation patterns on one part or exhibit different significance relative to contractor prequalification criteria on the other part. It uses questionnaire to obtain the needed data and analysis achieved through spearman’s rank correlation and regression methods. It establishes the nature of the cohesion between these three parameters. Consequently, both strong and weak positive relationship exists between contractor prequalification criteria and cost, time and quality performance of civil engineering project at p?1%. In spite of this, interconnectivity between these three variables is demonstrated by contractor prequalification criteria. Cohesion also exists between cost, time and quality performance of civil engineering project at p?5%. Therefore, criteria for contractor prequalification firmly bind cost, time and quality performance of civil engineering project. Also, the firmness of cost time and quality performance of civil engineering project depends of contractor prequalification criteria. Hence, client and representatives should take the cohesiveness of cost, time and quality performance into consideration when determining the choice of contractor prequalification criteria for civil engineering project.</em><em></em></p>

Highlights

  • The construction industry is characterized by production of structures stemming from building, civil engineering and heavy/industrial engineering arms of the industry (Oforeh, 2006; Barbara, 2004)

  • 2.1 Aim and Objectives This study shows the cohesiveness of cost, time and quality performance of civil engineering project as indicated by contractor prequalification criteria with a view to establishing the inseparability of the three construction project performance measurement variables

  • The objectives included: i. to evaluate the relationship between cost, time and quality performance of civil engineering project as dictated by contractor prequalification criteria and; ii. to determine the nature of the significance exhibited by cost, time and quality performance of civil engineering project relative to contractor prequalification criteria. 2.2 Review of Literature 2.2.1 Brief on the Concept of Cost, Time and Quality of Construction Project Cost refers to the financial implication of the project thereby relieving the client of the fear of unknown in respect of how much to expend on the project from start to finish

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Summary

Introduction

The construction industry is characterized by production of structures stemming from building, civil engineering and heavy/industrial engineering arms of the industry (Oforeh, 2006; Barbara, 2004). 2. Method 2.1 Aim and Objectives This study shows the cohesiveness of cost, time and quality performance of civil engineering project as indicated by contractor prequalification criteria with a view to establishing the inseparability of the three construction project performance measurement variables. Research results indicate that different kind of relationship exist between contractor prequalification criteria and cost, time and quality performance of civil engineering project. In order to achieve the objectives of the study, respondents were requested to score the relationship between identified nine major contractor prequalification criteria (derived from literatures) and cost, time and quality performance of civil engineering project on a 5-point scale so as to obtain the needed ordinal data in this regard. The needed correlation coefficients and p-values separately obtained for cost, time and quality performance of civil engineering project were extracted from the table generated by the analysis tools and presented

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