ROLE OF REGULATORY FRAMEWORK ON IMPLEMENTATION OF E- PROCUREMENT BY STATE CORPORATIONS IN THE MINISTRY OF AGRICULTURE IN KENYA
Jeptoo Naomi - Master of Science Degree in Procurement and Logistics, Jomo Kenyatta University of Agriculture and Technology, Kenya
Dr. Kabare Karanja - Lecturer, Jomo Kenyatta University of Agriculture and Technology, Kenya
ABSTRACT
E-Procurement is an important instrument for preventing corruption in goods and services procurement. Effective implementation of e-procurement practices is determined by the level of compliance with procurement regulations. The need to adopt e-procurement cannot be underscored given the fact that public sector procurement is large and complex, accounting for between twenty and thirty percent of gross domestic product. The objective of the study will be to investigate the role of regulatory framework on influence of e- procurement by state corporations in the Ministry of Agriculture in Kenya. The independent variables of this study include public procurement oversight authority, procurement laws, organizational culture, and procurement procedures while the dependent variable is implementation of e-procurement. This study will adopt a descriptive research design. The target population will consist of the management staffs drawn from the Ministry of Agriculture Head Offices that are based in Nairobi. The 21 state corporations under the Ministry will represent the study population. The study will adopt both purposive and simple random sampling techniques in determining the sample size. In this case, the researcher will purposely sample all the 21 corporations under the Ministry of Agriculture constitutes the sample size. Further, 3 respondents will be randomly selected within the procurement department in each of the sampled corporations bringing to a total of 63 respondents. The study will collect both the primary and secondary data. Primary data will be collected by use of a structured questionnaire. Drop and pick technique will be used. The data collected will be analyzed qualitatively using brief explanations and quantitatively using descriptive statistics; percentages, mean and standard deviation and inferential statistics; regression analysis. Tables, bar graphs and pie charts will be used to present the data. Ms- Excel and Statistical Package for Social Sciences (SPSS Version 23) will be the major tools for data analysis. Finally, a multiple regression model will be adopted.
