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Optimization of Supply Chains and Service Delivery in Selected Ugandan Charitable Organizations

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  • Komakech Kizza Nsereko

  • Sarah Natela Nanzekho

Abstract

Aim: This study aims to determine how supply chain optimization affects service delivery in a few Ugandan charitable organizations. Methods: The study employed a descriptive design and a census survey sample approach because it was just 28 people in the population being studied. A self-administered questionnaire containing both open-ended and closed-ended questions was used to collect the data. All quantitative variables were estimated using descriptive statistics, such as percentages, means, standard deviations, and frequencies. The data was collected, analyzed using multiple regressions, and then displayed as tables and graphs. Results: The study's conclusions showed that supply chain optimization has a significant impact on how well certain Ugandan humanitarian organizations deliver their services. The majority of supply chain optimization's components, including transportation and distribution, depend on technology to operate at their best, according to the study. Conclusion: Service delivery was found to have a favorable and statistically significant link with inventory management, strategic sourcing, and technology. Recommendation: The study recommend humanitarian organizations integrate supply chain operations utilizing technology to increase efficiency and accountability and to develop the skills of their human resources to meet the difficulties of the contemporary supply chain.

Suggested Citation

  • Komakech Kizza Nsereko & Sarah Natela Nanzekho, 2022. "Optimization of Supply Chains and Service Delivery in Selected Ugandan Charitable Organizations," Journal of Procurement and Supply Chain Management, Global Peer Reviewed Journals, vol. 1(1), pages 1-16.
    • Handle: RePEc:cjk:ojpscm:v:1:y:2022:i:1:p:1-16:id:26
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    File URL: https://gprjournals.org/journals/index.php/jpscm/article/view/26
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    References listed on IDEAS

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    1. Arash Abedi & Weihang Zhu, 2017. "An optimisation model for purchase, production and distribution in fish supply chain – a case study," International Journal of Production Research, Taylor & Francis Journals, vol. 55(12), pages 3451-3464, June.
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