Effect of Resource Management on Performance of Selected International Compassion Projects in Rwanda, Case of Gasabo District, Period 2018-2023
DOI:
https://doi.org/10.53819/81018102t2354Abstract
The main objective of this study was to assess the effect of resource management on performance of selected international compassion projects in Rwanda while the following are specific objectives: to assess the effect of resource planning on performance of International Compassion projects in Kinyinya Parish, Rwanda, to assess the effect of resource scheduling on performance of International Compassion projects in Kinyinya Parish, Rwanda, to assess the effect of resource allocation on performance of International Compassion projects in Kinyinya Parish, Rwanda, and to assess the effect of resource monitoring on performance of International Compassion projects in Kinyinya Parish. The stratified sample of 132 individuals, using Yamane’s formula, is expected to be used and was selected among 197 staffs engaged in projects financed by International Compassion in ADPR where all parishes of Gasabo were considered The SPSS Version 23 was used to perform the analysis while the questionnaire was used as the main tool for data collection. The study revealed that a mixed survey design, being both descriptive and correlative, was used in this study where this study involved gathering and analyzing data to describe the current state of resource management and correlate it with the project performance within compassion projects, in Gasabo district. The findings on model summary indicate R-value of 0.407 indicates a moderate positive correlation between the combined predictors (Resource monitoring, Resource allocation, and Resource scheduling) and project performance (Performance of Projects). However, the relatively low R Square value of 0.166 suggests that only approximately 16.6% of the variability in project performance can be explained by these predictors, with a substantial portion of variability remaining unaccounted for. Analysis of Variance (ANOVA) results demonstrating the statistical significance of the regression model, encompassing the predictors "Report monitoring, Resource allocation, Resource planning, and Resource scheduling," in explaining variations in the dependent variable "Performance of Projects". Importantly, the associated p-value (Sig.) of 0.002 (denoted as "b") falls below the conventional significance threshold of 0.05, indicating the model's statistical significance. Therefore, it was recommended, encourage continuous improvement in resource planning adequacy to minimize restructuring needs.
Key terms: Resource planning, Resource scheduling, Resource allocation, Resource monitoring and performance
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