| dc.description.abstract | Project implementation is not new in the devolved Government and this has been the only way of
bringing the project that serve the people positively and leads to better co-existence in the
society. Many projects have succeeded and others have failed due to several prevailing reasons.
Therefore this study however has the view that most counties are trying their best to bring
services to the citizens although a lot still needs to be done. Therefore the purpose of this study
is to find out the determinants of successful projects implementation in Mombasa county; Kenya.
The study is guided by five objectives that seek to identify the extent human factor influence
project implementation in Mombasa County, to establish the extent to which project
management support influences the implementation of projects in Mombasa County to determine
the extent to which financial resources impact on project implementation in Mombasa County,
and to examine the extent to which socio-economic factors influence the implementation of
projects in Mombasa County, Kenya. To evaluate the extent to which socio-economic factors
influence the implementation of projects on Mombasa County. To evaluate the effects of politics
on projects implementation in Mombasa County, Kenya. The objectives also form the themes in
literature review. A descriptive research design will be adopted for the study. In the study
purposeful sampling will be used in accordance to the characteristics the elements in the
population possess. The research targets managers/employees handling county development
projects in Mombasa County. The target population is about 3,200but a population sample of 80
will be used due to the time limitations and financial constrictions. A pilot study will be
conducted to check the instruments reliability and validity. Data will be collected using a
structured questionnaire which will be administered personally, via e-mails, enumerators and
pick them after they had been filled. Data will be coded and analyzed using the SPSS. The data
will be analyzed and the variables correlated to check the relationship of data. A regression
model will also be fitted to check the changes in the dependent variable that can be explained by
variations in the independent variables. | en_US |
