ADVANCED ANALYTICS IN SUPPLY CHAIN RESILIENCE: A COMPARATIVE REVIEW OF AFRICAN AND USA PRACTICES

Authors

  • Rhoda Adura Adeleye Information Technology & Management, University of Texas, Dallas, USA
  • Oluwaseun Peter Oyeyemi Marketing Department, British American Tobacco, Nigeria
  • Onyeka Franca Asuzu Dangote Sugar Refinery Plc, Lagos, Nigeria.
  • Kehinde Feranmi Awonuga Independent Researcher, UK
  • Binaebi Gloria Bello Kings International School, Port-Harcourt, Rivers State, Nigeria

DOI:

https://doi.org/10.51594/ijmer.v6i2.771

Abstract

This paper explores the application of advanced analytics in enhancing supply chain resilience, offering a comparative review between African and USA practices. Supply chain resilience has become a critical factor in the global business landscape, particularly in the face of unprecedented disruptions and uncertainties. As organizations strive to mitigate risks and improve responsiveness, advanced analytics emerges as a powerful tool in achieving these objectives. The study begins by providing a comprehensive overview of the key components of supply chain resilience and the role advanced analytics plays in fortifying these components. It delves into various analytical techniques, such as predictive modeling, machine learning, and data visualization, and their application in predicting and mitigating disruptions. By harnessing the power of big data, organizations can gain insights into demand patterns, supply chain vulnerabilities, and potential risks, enabling proactive decision-making. A comparative analysis is conducted between African and USA supply chain practices, recognizing the unique challenges and opportunities each region presents. Africa, with its diverse economies and infrastructural constraints, faces distinct challenges in achieving supply chain resilience. The study investigates how African organizations leverage advanced analytics to overcome these challenges and identifies best practices. Similarly, the analysis explores how USA practices utilize advanced analytics to bolster supply chain resilience, drawing parallels and distinctions with the African context. The paper also discusses the implications of these findings for policymakers, businesses, and academia. Understanding the effectiveness of advanced analytics in different supply chain contexts can inform the development of tailored strategies for enhancing resilience. The study contributes to the existing body of knowledge by shedding light on the state of advanced analytics adoption in the supply chain domain in these regions and by providing insights that can guide future research and practical implementations. This paper provides a glimpse into the dynamic landscape of supply chain resilience, showcasing the pivotal role advanced analytics plays in fortifying global supply chains. The comparative review of African and USA practices offers a nuanced understanding of the challenges and opportunities these regions face, contributing valuable insights for practitioners and researchers alike.

Keywords: Analytics, Supply Chain, USA, Africa, Review.

Published

2024-02-13

Issue

Section

Articles