Harnessing the Future of Supply Chain Management in Renewable Energy Integration for Enhanced Energy Security in Nigeria
Mayowa ogunyemi Opeyemi ()
Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2024, vol. 2, issue 1, 319-324
Abstract:
The integration of renewable energy into Nigeria's energy landscape presents a transformative opportunity to enhance energy security, reduce dependency on fossil fuels, and foster sustainable economic growth. This paper explores the pivotal role of supply chain management (SCM) in facilitating the efficient deployment of renewable energy technologies within Nigeria's energy sector. By leveraging innovative SCM strategies, including digitalization, localized resource allocation, and stakeholder collaboration, this study highlights how the renewable energy supply chain can be optimized to overcome challenges such as infrastructure deficits, policy bottlenecks, and financial constraints. Key insights emphasize the importance of robust SCM frameworks in ensuring cost efficiency, timely project execution, and long-term sustainability of renewable energy initiatives. The findings contribute to the discourse on energy security by proposing actionable strategies to harness the potential of renewable energy while addressing Nigeria's unique socio-economic and environmental challenges.
Keywords: Supply Chain Management; Renewable Energy; Energy Security; Nigeria; Sustainable Development; Digitalization; Policy Integration (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
https://newjaigs.com/index.php/JAIGS/article/view/318 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:das:njaigs:v:2:y:2024:i:1:p:319-324:id:318
Access Statistics for this article
Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 is currently edited by Justyna Żywiołek
More articles in Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 from Open Knowledge
Bibliographic data for series maintained by Open Knowledge ().