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Abstract: The main objective of the study was to assess the effect of procurement planning on organizational performance in Nyagatare District, Rwanda. Specific Objectives of the study was to determine the effect of needs identification, quality specification, cost estimation and contract management on performance of Nyagatare District. Data was analyzed using Statistical Package for Social Sciences (SPSS) version 25. The coefficient for needs identification (β = 0.145, t = 2.231) suggests that this effect is statistically significant. With a significance level of p = 0.028<0.05, it confirms that needs identification has a significant positive effect on organizational performance. The coefficient for quality specifications (β = 0.27, t = 3.767) is relatively high, indicating strong statistical support for this relationship. The significance level (p = 0.000) confirms that this effect is highly significant. The coefficient for cost estimation (β = 0.375, t = 5.435) is the highest in the model, indicating that cost estimation has the strongest effect on performance. With a significance level of p = 0.000, which is well below 0.05, cost estimation is statistically significant. The coefficient for contract management (β = 0.191, t = 2.938) indicates a statistically meaningful relationship. The significance level p = 0.004< 0.05, confirming that contract management has a significant positive effect on performance. Nyagatare District should implement standardized frameworks for identifying procurement needs, ensuring alignment with organizational goals and available resources.

Abstract: The general objective of this study was to analyze the effect of public procurement practices on performance contracts in local government in Rwanda. This research study focused on 74 staff members from Kirehe district. The researcher used SPSS (Statistical Package for the Social Sciences, version 25) for data analysis. The coefficient for needs identification was 0.210, indicating that every unit increase in needs identification leads to a 0.210 increase in performance contracts. This effect is statistically significant (β = 0.210, t = 2.958, sig. = 0.005). The result indicates the importance of accurately identifying needs in enhancing performance contracts. The coefficient for cost estimation is 0.184, meaning that a one-unit increase in cost estimation corresponds with a 0.184 increase in performance contracts. This influence is statistically significant (β = 0.184, t = 2.592, Sig. = 0.012). Supplier sourcing has a statistically significant influence on performance contracts, with a coefficient of 0.448 (β = 0.448, t = 5.398, Sig. = 0.000). Lastly, the terms of payment also show a significant effect on performance contracts, with a coefficient of 0.155 (β = 0.155, t = 2.013, Sig. = 0.047). These findings highlight the critical roles of needs identification, cost estimation, supplier sourcing, and terms of payment in improving performance contracts in Kirehe District. Kirehe District should conduct periodic reviews of performance contracts to ensure that the quantitative and qualitative targets remain relevant and achievable in the context of evolving community needs and market conditions.