Assessment of Project Implementation and Rating of Critical Factors Affecting Project Success in Construction Projects: In the case of Bamacon Engineering
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Date
2020-06
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Addis Ababa University
Abstract
The study aimed to assess the current project implementation practice of
Bamacon Engineering P.L.C and identify factors which affect the construction
performance in accordance with their severity. The study used both qualitative
and quantitative research approaches. The qualitative approach was used for
documents review and open ended questions that were included in the questioner
and the quantitative approach for closed ended questions. Accordingly, data were
collected through questionnaire from sample respondents. The target populations
for this study were skilled laborers of five projects namely: DH1, Century 1,
Century 2, Nomiyan Apartment and Metrpolitan Apartment located in Addis
Ababa. The total population was 78. Sampling technique that the researcher used
was Census Method. Out of 78 respondents, 52 workable data were obtained.
Those data were, then, analyzed through descriptive and explanatory statistics. In
the descriptive analysis, the data were presented in Histogram and Pi-chart form
and from there described the situation of project implementation practice.
Explanatory analysis using regression (Multiple Linear) was employed to analyze
the severity of the factors affecting project success. The finding revealed that the
five project success factors (Project, Client, Contractor, Consultant and supply
chain) altogether account about 61% of the variance in project success; Project
related factor, Consultant related factor and Contractor related factor have
statistically significant contribution to the success of projects. It was also noted
that projects run under the risk of cost overrun and time delay but keep the
quality as required in the specifications. From the documents review, it was noted
that there is a minimum of 26 days delay and work productivity of unskilled labor
is less than required.
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Keywords
Project Implementation, Project success, Key performance indicators, Project success variables