Author

M. Musa

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Open access Sep 2026

Artificial Intelligence Adoption in Green Logistics: Implications for Sustainable Supply Chain Performance in Nigeria's Transportation Sector

Artificial Intelligence (AI) is increasingly transforming transportation and logistics by enabling data-driven decision-making, operational efficiency, and environmentally sustainable practices. However, the adoption of AI-enabled green logistics remains limited in Nigeria due to inadequate digital infrastructure, high...

M. Musa, Abdullahi Zakari Abdulhamid, Muhammad Nasir Hassan et al. · Journal of African Innovatio... · 0 citations

Review Open access Sep 2026

Green Logistics 5.0 and Sustainable Supply Chain Performance: Integrating Digital Innovation for Environmental Sustainability

The increasing environmental impacts of logistics operations have intensified the need for sustainable logistics practices that balance economic growth with environmental responsibility. Green logistics has emerged as a strategic approach to reducing carbon emissions, minimizing waste, improving energy efficiency, and...

M. Musa, Zubaida Abubakar, Saddam Saleh et al. · Journal of African Innovatio... · 0 citations

Review Open access Sep 2026

Artificial Intelligence for Green Logistics in Emerging Economies: A Policy Framework for Nigeria's Sustainable Development

The growing demand for environmentally sustainable logistics has increased the need for cutting-edge solutions that enhance operational efficiency while reducing environmental impacts. This paper examines how artificial intelligence (AI) can contribute to environmental sustainability and green logistics and proposes a...

M. Musa, M. Hassan, K. Halliru et al. · Journal of Science Innovatio... · 0 citations