PROCUREMENT AUTOMATION AND PERFORMANCE OF GOVERNMENT AGENCIES IN NAIROBI CITY COUNTY, KENYA
Abstract
Government agencies in Nairobi City County, Kenya, have been facing challenges in procurement efficiency, leading to high operational costs, poor service delivery, and inefficiencies in decision-making. This study aimed to assess the effects of procurement automation on the performance of these agencies, focusing on e-ordering and e-vendor management. The study was anchored in the Unified Theory of Acceptance and Use of Technology and Resource-Based View. A descriptive research design was employed, targeting a population of procurement officers, managers, and other relevant personnel from government agencies, with a sample size of 104 respondents selected through stratified random sampling. A pilot study was conducted to ensure the reliability and validity of the research instruments, achieving high Cronbach’s alpha values, indicating strong internal consistency. Data were collected using structured questionnaires and analyzed using descriptive and inferential statistics, including correlation and multiple regression analyses. The study findings revealed that all the variables significantly influenced performance, with e-vendor management having the highest impact (B = 0.395, p < 0.05), followed by e-ordering (B = 0.348, p < 0.05). The study concludes that procurement automation enhances procurement efficiency, transparency, and financial management, leading to improved agency performance. It is recommended that government agencies fully integrate these automation practices and invest in robust e-vendor management systems to optimize procurement processes and achieve better performance outcomes.
Key Words: Performance of Government Agencies, Procurement Automation, E-Ordering, E-Vendor Management
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