Effect of Procurement Preparation on Contract Management in Kabale District
Jamada Matende – Department of Business Studies
Turyasingura John Boco – Department of Business Studies
Agaba Moses – Department of Business Studies
Arinaitwe Julius Byarugaba – Department of Business Studies
Atukwase Jasper – Department of Procurement and Logistics Management
Alice Ngele Mwazuna – Department of Business Studies
Barigye Godfry – Department of Governance
Turinawe Francis – Department of Business Studies
Faculty of Economics and Management Sciences.
Kabale University. Uganda.
Abstract: Using a cross-sectional survey design, this study looked at how procurement preparation affected contract management in Kabale District. Data were gathered from 86 respondents and analysed quantitatively, supplemented by qualitative insights. Descriptive statistics were used to summarize individual variables and their attributes, and frequency tables were used to present the data. At the bivariate level, a Pearson correlation matrix was used to determine the relationships between the predictor and dependent variables, and a linear regression model was used to fit the data. The regression model results showed that procurement standards (R =.862) have a significant positive effect on contract management in Kabale District Local Government. The study concludes that effective procurement preparation, which includes comprehensive needs assessment, accurate specifications, realistic cost estimates, and timely scheduling, significantly improves contract management by encouraging transparency, accountability, and efficiency. Inadequate preparation, on the other hand, causes delays, cost overruns, and disputes, all of which undermine service delivery. To improve contract management outcomes and ensure value for money, the study recommends strengthening procurement preparation through staff capacity building, strict adherence to PPDA guidelines, the use of e-procurement systems, comprehensive needs assessments, stakeholder engagement, adequate resource allocation, and robust monitoring and evaluation frameworks.
