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David Chesire Barngetuny - Masters of Science in Procurement and Logistics of Jomo Kenyatta University of science and Technology, Kenya

Dr. Geoffrey Kimutai - Jomo Kenyatta University of science and Technology, Kenya


E-Procurement refers to the use of internet-based system used to carry out individual or all stages of procurement process, including search, sourcing, negotiation, ordering, receipt, and post-purchase review. The procurement function in Kenya has been characterized by massive scandals and indignity which have been attributed to poor handling of procurement information thus leading to excessive corruption. It is against this problem that the study sought to investigate the effects of E-procurement on supply chain management performance in Elgeyo Marakwet County. The study was based on the following research objectives: To find out the effects of e-tendering on supply chain management, to find out the effect e-invoicing on supply chain management and to find out the effect of e-payment on supply chain management. The study will be conducted on public entities in Elgeyo Marakwet County. The study was limited to e-procurement and supply chain management performance. The study adopted the use of questionnaires and interview schedules to collect primary data. The research also adopted descriptive design to collect the quantitative and qualitative data that describes the effects of e-procurement and supply chain management. The target population for this study was employees in public entities in Elgeyo Marakwet County; this included the County Government of Elgeyo Marakwet and Iten County Referral Hospital. This study also adopted stratified sampling technique where the study population was stratified into management and non management strata. Then purposive sampling was used to select 30 employees of Elgeyo Marakwet County and 10 employees from County referral hospital Iten. Data collected was done through both qualitative and quantitative. Qualitative data was analyzed through content analysis. Quantitative data was analyzed through the use of frequency distribution, mean scores and standard deviations. These analyses were used to address specific objectives I to IV. With the help of Statistical Package for Social Science (SPSS) the findings were then presented in form of frequency distribution tables, bar charts and pie charts. The data was finally summarized according to the study’s specific objectives.

Full Length Research (PDF Format)