@Article{M-10237,
AUTHOR = {Onomakpo Onomakpo, Henry},
TITLE = {AI-Enabled Regenerative Supply Chains: A RSSCM Framework},
JOURNAL = {Scientific Research Journal of Business, Management and Accounting},
VOLUME = {3},
YEAR = {2025},
NUMBER = {1},
ARTICLE-NUMBER = {M-10237},
URL = {https://isrdo.org/journal/SRJBMA/currentissue/ai-enabled-regenerative-supply-chains-a-rsscm-framework},
ISSN = {2584-0592},
ABSTRACT = {Addressing a critical gap in sustainable supply chain management (SCM), this study develops and proposes the comprehensive Regenerative Sustainable Supply Chain Management (RSSCM) framework. Synthesized from a systematic literature review and bibliometric analysis of contemporary research, the study identified the essential need to integrate AI-driven optimization, robust resilience strategies, circular economy principles, and ethical governance to achieve actively regenerative outcomes. The resulting RSSCM framework structures these critical components into Optimization, Resilience, and Regeneration pillars, all underpinned by a foundational Governance and Validation layer. This integrated model advocates for strategic digital technology application (AI, IoT) to drive efficiency, resilience, and sustainability, promoting a necessary paradigm shift towards supply chains generating net positive environmental and social impacts. The research provides practitioners with a structured roadmap for transformative change and offers academics a theoretically grounded framework for future inquiry, ultimately advancing progress towards more sustainable and equitable global supply networks.},
DOI = {}
}