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FACTORS INFLUENCING PROCUREMENT PERFORMANCE IN CONSTITUENCY DEVELOPMENT FUND (CDF): A CASE OF CDF USE IN MAKADARA CONSTITUENCY


Joseph Aketch
MSc. Procurement and Logistics, Jomo Kenyatta University of Agriculture and Technology


Dr. Patrick Karanja Ngugi
Associate Chairman, Jomo Kenyatta University of Agriculture and Technology

 

ABSTRACT

Considering the influence of ICT on procurement performance, it is disheartening to note that its implementation in most Kenyan public institutions is poor. The main objective of this research study is to explore factors influencing public procurement performance with the reference to Makadara Constituency CDF Committee. Public procurement systems in Kenya have not been effective in so far as poverty elimination is concerned. Arguably, these developments have taken place against an increase in public procurement budget according to National Taxpayers Association. In a nutshell, the Public Procurement and Disposal Act (PPDA) of 2005 and Public Procurement & Disposal Regulations (PPDR) of 2006 require all public procurement activities in Kenya to be carried out in a transparent and accountable manner – public procurement officials are supposed to engage members of the public in all stages of procurement decision making. The specific objectives include finding out how Makadara Constituency CDF Board size and composition influences procurement performance of CDF in Makadara Constituency. The effect of training and capacity on procurement performance, how managerial skills assist Makadara in enhancing procurement performance, how information communication technology influences procurement performance and to explore the effects of organization structure on procurement performance of CDF in Makadara Constituency. The study will use descriptive research design, which will be the most applicable for the study, as the study focused on describing independent variables. The target population chosen for this study will comprise of Makadara CDF Committee who are 400. Primary data will be gathered through unstructured interviews. Data related to all the five study objectives will be gathered through unstructured interviews conducted using face-to-face encounters as well online and over-the-phone sessions. This study will employ the deductive qualitative data analysis procedure to analyse the primary data collected through unstructured interviews. A multivariate regression model will be applied to determine the relative importance of each of the four variables in relation to the study which sought to understand the factors influencing procurement performance In Constituency Development Fund.


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