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VOL. 10, ISSUE 1 (2024)
The role of data analytics in optimizing supply chain networks for sustainability
Authors
Olamijulo Oluyosola Elizabeth, Isaac Rabbles Kwofie, Musa AbdulWadud Olagoke, OJO John Ifeoluwa, Adeyeye Oladimeji Gboyega
Abstract
This study examines the crucial role of big data analytics in advancing
sustainable supply chain management. It delves into theoretical foundations
like the triple bottom line and stakeholder theory, showcasing how data
analytics contributes to optimizing operations and driving sustainability.
Practical applications, including predictive analytics and real-time
monitoring, are explored to illustrate how firms leverage technology for
sustainability. The study also addresses challenges and opportunities, such as
data quality issues and emerging trends like blockchain adoption. It concludes by
highlighting the transformative potential of data analytics in creating a more
sustainable future for stakeholders.
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Pages:14-22
How to cite this article:
Olamijulo Oluyosola Elizabeth, Isaac Rabbles Kwofie, Musa AbdulWadud Olagoke, OJO John Ifeoluwa, Adeyeye Oladimeji Gboyega "The role of data analytics in optimizing supply chain networks for sustainability". National Journal of Advanced Research, Vol 10, Issue 1, 2024, Pages 14-22
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