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This research addresses the critical challenge of opacity and potential bias in machine learning (ML) models used for credit scoring. While advanced models like Gradient Boosting Machines and Deep Neural Networks offer superior predictive accuracy, their "black box" nature hinders regulatory...

This study investigates the effectiveness of third-party logistics (3PL) in enhancing last-mile delivery of essential medicines within Zambia’s public health supply chain. Using a structured questionnaire, data were collected from 109 respondents across ZAMMSA, 3PL providers, and high-volume...

The research sought to evaluate Lafarge’s environmental stewardship responsibilities due to the nature of its production business that may have negative impact in terms of footprint on the environment. The research was qualitative in nature and collected data from a sample of fifteen respondents....

This research examines the impact of Supply Chain Management (SCM) practices on the organizational performance of National Milling Corporation Limited (NMC) headquarters located in Lusaka, Zambia. The study assesses four essential dimensions of SCM: Strategic Supplier Partnerships, Internal Lean...

As all cattle producers are interested in export profit and also for the continuity of their herd numbers there is increasing acceptance for the use of the Internet of Things (IoT) technologies-with a focus on monitoring cattle movement and managing pasture access behaviors in this research. GPS...

Healthcare systems worldwide are increasingly leveraging data-driven strategies to enhance decision-making, optimize resource allocation, and improve patient outcomes. This research explores the application of machine learning-driven predictive analytics for Cholera outbreaks forecasting and...

Aquaculture is a viable way for Zambia to fulfil the increasing demand for fish, however conventional approaches don’t have effective monitoring systems. For smallscale farmers, this makes it more difficult to diagnose diseases, manage resources properly, and adopt sustainable techniques. This...

Predictive Maintenance essentially involves predicting breakdown of the equipment to be maintained by detecting early signs of failure in order to make maintenance work more proactive. The application of such maintenance strategy requires the cooperation of several agents and involves knowledge...

This research investigates the multifaceted factors shaping consumer decision-making in the purchase of motor vehicles, focusing on CFAO Motors Zambia Limited (CFAO) and its four brands—Toyota, Ford, Suzuki, and VW. The study aims to discern the primary influencers and their hierarchical...

The overall objective was to evaluate the impact of monthly fuel reviews on the performance of long-distance bus operators at the Intercity Bus Terminus in Lusaka, with focus on the independent variables; Adherence to monthly fuel reviews, Cost management practices and Operational performance...