Effect of Supply Chain Risk Management on Operational Performance of Raising the Village in Gasabo District, Rwanda

Effect of Supply Chain Risk Management on Operational Performance of Raising the Village in Gasabo District, Rwanda

Kelvin Mugabi and Martin Gachukia
University of Kigali
https://orcid.org/0009-0003-4789-5681
Email: mugabikelvins42@gmail.com

Abstract: The purpose of this study was to examine the effect of Supply Chain Risk Management on Operational Performance of Raising the Village in Gasabo District, Rwanda. The study was guided by four specific objectives, namely,to assess the effect of Supplier Risk Management, Inventory Risk Management, Transportation & Logistics Risk Management, and Information & Technology Risk Management on Operational Performance. The target population was 219 employees and stakeholders connected to Raising the Village operations in Gasabo District, while a sample size of 142 respondents was calculated using Slovin’s formula. Quantitative data were processed through editing, coding, and tabulation, and analysis was performed using SPSS Version 29 through descriptive statistics, correlation analysis, and multiple regression analysis. A total of 136 complete questionnaires (95.8%) were analysed. The regression findings indicated that Supplier Risk Management B = 0.163, t = 3.396, p = 0.001, Inventory Risk Management B = 0.142, t = 2.679, p = 0.008, Transportation and Logistics Risk Management B = 0.389, t = 7.073, p = 0.000, Information and Technology Risk Management B = 0.171, t = 3.288, p = 0.001 had positive and statistically significant effects on Operational Performance in Raising the Village in Gasabo District, Rwanda. The study concluded that strengthening Supplier Risk Management, Inventory Risk Management, Transportation and Logistics Risk Management, Information and Technology Risk Management improve Operational Performance. It is recommended that management should strengthen the most influential practices while maintaining continuous monitoring of all significant variables.

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