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Renewable energy technologies to power health facilities have become very important in the 21st century due to the lack of power from conventional power supplies especially in the case of Global South and specifically in Zimbabwe. The study's objective was to examine the role of renewable energy technology in powering medical laboratories and other health care facilities in the Global South- Sustainable Development Goals washing each other’s hands with evidence from Zimbabwe. The study used qualitative methods and secondary data was collected from various sources such as United Nations Development Programme, Reach Alliance, World Health Organisation and Green Platform Policy documents. The main results of the study showed that renewable energy technology has provided relief to patients and rural communities who have not been failing to get services due to a lack of conventional electricity. Additionally, the study indicated that over 1044 health facilities in Zimbabwe are now under solar support hence these facilities now have electricity 24 hours a day and key services are being provided, hence, improving health outcomes and SDG 3 objectives. Additionally, sustainable energy is also more sustainable in the long run as compared to conventional electricity generation which has negative effects on the environment. The policy shift by the government of Zimbabwe to work with partners to provide solar energy to health institutions is applauded. The government can shift its policy towards further empowering the locals to get contracts to implement and install solar energy in the remaining facilities considering that already there was knowledge transfer done when the local engineers were trained by the primary contractors of UNDP. The study recommended that the government may provide policies that support more of the solar grids and move away from relying on conventional electricity generation which has been giving the country problems of load-shedding since year 2008.

This study investigates the use of artificial intelligence (AI) to improve operational performance in Zimbabwean road haulage enterprises, with a focus on driver training as a moderator. As the logistics industry faces new difficulties, AI technologies have great promise for increasing efficiency and decision making. However, the usefulness of these technologies is determined by the skill levels of the drivers using them. This study demonstrated how extensive driver training improves the capacity to comprehend AI-generated insights, resulting in better route management, lower operating costs, and increased safety. This study examines how AI affects key performance variables such as cost savings, productivity, customer happiness, and environmental sustainability, using real data from road haulage companies. Key findings demonstrate how AI is transforming decision-making, improving operational effectiveness, and optimizing routes. The research highlights several noteworthy obstacles in addition to their obvious advantages, such as budgetary limitations, difficulty in obtaining pertinent data, and the need for more regionalized AI solutions. The findings, which are based on case studies and performance data from diverse enterprises, indicate that (i) organizations that invest in both AI and driver training benefit from a synergistic impact, resulting in higher operational outcomes, (ii) there is need to combine technical improvements with human experience to achieve maximum performance in Zimbabwe's competitive road-haulage market and finally (iii) this study offers helpful recommendations for successfully integrating artificial intelligence (AI) into haulage processes, along with insights into best practices and alternative approaches to overcome current obstacles. This study emphasizes the importance of context-specific solutions in emerging regions, enhancing the expanding corpus of knowledge on AI applications, particularly in logistics.