Digital Transformation in Supply Chain Management: Leveraging AI and Big Data for Enhanced Efficiency in the Nigerian Oil Sector

The paper analyzed the impact of digital transformation, specifically through artificial intelligence (AI) and big data, on enhancing supply chain efficiency in the Nigerian oil sector. The research aimed to evaluate how these technologies improve operational performance and identify the challenges and opportunities associated with their implementation. Using a systematic content analysis in reviewing recent related studies, the findings revealed that AI and big data significantly enhance decision-making, predictive maintenance, inventory management, and risk mitigation, contributing to overall supply chain efficiency. However, the study also identifies several challenges, including inadequate infrastructure, a shortage of skilled personnel, and organizational resistance to change. Despite these barriers, the opportunities for optimizing operations and improving supply chain resilience are considerable. The paper concluded that, with targeted investments in technology and workforce development, the Nigerian oil sector can fully leverage AI and big data to achieve sustained operational excellence and competitive advantage in a dynamic global market.

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Publication Details

Journal
International Journal of Management and Fuzzy Systems
Published
2024-12-25
DOI
https://doi.org/10.11648/j.ijmfs.20241002.11
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Digital Transformation in Supply Chain Management: Leveraging AI and Big Data for Enhanced Efficiency in the Nigerian Oil Sector

Oboho Eteyen
International Journal of Management and Fuzzy Systems
Big Data and Business Intelligence
article

Digital Transformation in Supply Chain Management: Leveraging AI and Big Data for Enhanced Efficiency in the Nigerian Oil Sector

Oboho Eteyen
article en

Abstract

The paper analyzed the impact of digital transformation, specifically through artificial intelligence (AI) and big data, on enhancing supply chain efficiency in the Nigerian oil sector. The research aimed to evaluate how these technologies improve operational performance and identify the challenges and opportunities associated with their implementation. Using a systematic content analysis in reviewing recent related studies, the findings revealed that AI and big data significantly enhance decision-making, predictive maintenance, inventory management, and risk mitigation, contributing to overall supply chain efficiency. However, the study also identifies several challenges, including inadequate infrastructure, a shortage of skilled personnel, and organizational resistance to change. Despite these barriers, the opportunities for optimizing operations and improving supply chain resilience are considerable. The paper concluded that, with targeted investments in technology and workforce development, the Nigerian oil sector can fully leverage AI and big data to achieve sustained operational excellence and competitive advantage in a dynamic global market.

International Journal of Management and Fuzzy SystemsVol. 10(2)
Universidad Católica de Murcia (ES)
Openalex Percentile: Top 60%
Big Data and Business Intelligence
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Digital Transformation in Supply Chain Management: Leveraging AI and Big Data for Enhanced Efficiency in the Nigerian Oil Sector — Oboho Eteyen · International Journal of Management and Fuzzy Systems (2024) | TGRS Research Map | TGRS