MUA Institutional Repository

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GREEN IT: INNOVATIONS IN COMPUTING FOR SUSTAINABLE LEADERSHIP

(management university of africa, 2025-04) Sande Noelyne Nasubo

As environmental sustainability becomes increasingly vital, the tech industry is being called upon to mitigate its impact on the planet. Green IT, or Green Information Technology, focuses on sustainable practices in the design, use, and disposal of computing technologies, seeking to minimize energy consumption, reduce electronic waste (e-waste), and promote efficient resource utilization. With an ever-expanding digital landscape, Green IT innovations offer solutions to the growing environmental challenges associated with computing. This article examines the latest advancements in Green IT, including energy-efficient data centers, cloud computing, and sustainable hardware and software development. Furthermore, it explores how sustainable leadership can shape the future of Green IT by driving innovation, fostering eco-conscious business practices, and creating systemic change. In doing so, the article argues that sustainable leadership in the tech sector is not only a critical component of corporate responsibility but also a key driver of innovation and long-term success.

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TECHNOLOGY AS THE CATALYST FOR ACHIEVING NET-ZERO CARBON EMISSIONS

(management university of africa, 2025-04) Derow Aden Ali (PhD); Leseiyo Moses; Kathula Domeniter(PhD)

This study investigates the critical role of technological advancements in achieving a low carbon future, focusing on renewable energy innovations, digital solutions, and carbon capture technologies. The research addresses the problem of persistent greenhouse gas emissions despite international climate agreements and explores the potential of technologies such as advanced solar photovoltaics, wind turbines, and next-generation battery storage to decarbonize energy systems. Digital tools, including artificial intelligence (AI), the Internet of Things (IoT), and big data analytics, are identified as key enablers of energy efficiency, resource optimization, and smarter energy management systems. Additionally, carbon capture and storage (CCS) technologies, such as direct air capture, are highlighted as essential for offsetting emissions in hard-to-abate sectors like heavy industry and aviation. The key objectives of this study are to evaluate the role of technology in achieving net-zero carbon emissions, identify barriers and challenges in the implementation of these technologies, and explore potential solutions to accelerate progress. The study’s target population includes 200 policymakers, 100 technology developers, and 150 stakeholders in the energy sector. Theoretical frameworks such as the Technological Innovation Systems Theory and the Diffusion of Innovations Theory are used to understand how technological advancements can be adopted and scaled. Using a qualitative research design, data was collected from peer-reviewed journals, case studies, and policy reports, analyzed thematically to identify trends, challenges, and opportunities. Key findings reveal that 70% of respondents acknowledge the immense potential of technology to drive the net-zero agenda, but 60% report barriers such as high implementation costs, infrastructure gaps, and unequal access in developing countries as significant challenges. Additionally, 50% of the respondents emphasize the need for public private partnerships to overcome these barriers. Recommendations focus on fostering these partnerships, enhancing global cooperation, and implementing equitable policies to scale innovative solutions. By addressing these aspects, this study underscores the transformative potential of technology in achieving a sustainable and climate-resilient future.

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ARTIFICIAL INTELLIGENCE AND LEADERSHIP AGILITY: CONCEPTS AND THEIR APPLICATION

(management university of africa, 2025-04) Prof. Thomas Katua Ngui

The digital transformation taking place globally has necessitated the adoption of artificial intelligence in all sectors of the economy. This adoption of artificial intelligence has also been used by leaders in all industries to help them improve on their performance. The use of AI is witnessed mainly in the performance of the hard aspects of leadership hence leaving the leaders with only the soft aspects of leadership to deal with. Adoption of AI in leadership has contributed to improved agility hence giving the organizations a competitive edge over the organizations that have not yet adopted AI. Agility is when people have the capabilities and understanding to respond quickly to disruption, capitalize on new opportunities and address threats (Adamopoulos, 2021). Despite the adoption of AI having its own challenges the benefits of AI by far out way the challenges encountered while using AI.