An investigation into factors causing construction project delays in Kenya case study of high rise building projects in Nairobi
![Thumbnail](/bitstream/handle/11295/28925/Talukhaba_An%20investigation%20into%20factors%20causing%20construction%20project%20delays%20in%20Kenya.pdf.jpg?sequence=4&isAllowed=y)
View/ Open
Date
1999Author
Talukhaba, Alfred A
Type
ThesisLanguage
enMetadata
Show full item recordAbstract
Construction project delay is a widespread phenomenon in Kenya and
reflects poor project time management practices. Project delay frustrates the
process of development. In addition, scarce funds are tied in unfinished projects,
and cause problems of mortgage servicing. Consequently, viable projects are
rendered not viable due to lost opportunities occasioned by changing market
conditions. Besides, the cost to society and loss of reputation of the parties
involved in the concerned projects is immeasurable.
The significance of the factors that cause project delays in Kenya
unknown. This has created a vacuum in the efficiency with which projects are
managed with respect to project planning and control. Hence, this study sought
not only to identify and establish the significance of the factors that cause project
delays but also investigated the influence of project characteristics on the delay
causing factors. It was hypothesized that the factors that cause project delays are
associated with the project participants, the process and the environment of
project implementation, and that project characteristics of client and size influence
the occurrence of these factors. Ninety variables were identified through literature
review and pilot interviews. A random sample of 40 high rise buildings, ranging
in cost between Ksh. 45 million to Ksh. 200 million was used in the study. A
rating scale was used to identify the significant variables. Those that emerged
significant were subjected to Chi-square test for the purpose of establishing the
influence of project characteristics on the variables. The regression model was
used to identify the variables that are most significant.
Citation
Ph.D ThesisSponsorhip
University of NairobiPublisher
University of Nairobi Department of Building Economics and Management