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

Authors

  • 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.  

Author Biographies

Komakech Kizza Nsereko 

Post Graduate Student, Department of Humanity and Social Sciences, Makerere University, Uganda.

Sarah Natela Nanzekho 

PhD Student, Department of Humanity and Social Sciences, Makerere University, Uganda.

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Published

2022-09-24

How to Cite

Nsereko , K. K. ., & Nanzekho , S. N. . (2022). Optimization of Supply Chains and Service Delivery in Selected Ugandan Charitable Organizations. Journal of Procurement and Supply Chain Management, 1(1), 1–16. Retrieved from https://gprjournals.org/journals/index.php/jpscm/article/view/26

Issue

Vol. 1 No. 1 (2022): Vol 1 Issue 1

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Articles

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