The Influence of Big Data Analytics on Supply Chain Decision-Making.

• Author(s): Ogechi Thelma Uzozie ; Osazee Onaghinor ; Odira Kingsley Okenwa
• Paper ID: 1709806
• Page: 754-777
• Published Date: 31-08-2019
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 3 Issue 2 August-2019

Abstract

This study investigates the transformative impact of Big Data Analytics (BDA) and intelligent decision-making systems on supply chain management, with a focus on predictive, prescriptive, and autonomous analytics applications. The primary objective is to examine how data-driven technologies are reshaping decision-making processes and enhancing operational performance across various supply chain domains, including demand forecasting, logistics optimization, procurement, and inventory management. Using a systematic literature review methodology, the research synthesizes findings from peer-reviewed academic journals published. The review includes 38 high-quality studies selected from databases such as Scopus, Web of Science, and ScienceDirect, applying rigorous inclusion, exclusion, and thematic coding criteria. Key findings reveal that AI, machine learning, and large language models are enabling supply chains to shift from reactive to proactive and even autonomous decision-making. Real-time data utilization, predictive maintenance, last-mile optimization, and collaborative planning are among the most widely adopted analytics-driven innovations. However, barriers such as data integration challenges, skills shortages, high implementation costs, and ethical concerns persist. The study emphasizes the need for digital upskilling among professionals and the development of regulatory frameworks to support responsible and inclusive adoption. It also highlights gaps in longitudinal impact studies and calls for further interdisciplinary research into ethical AI, sustainability, and SME inclusion. In conclusion, the integration of intelligent analytics systems offers significant potential for building agile, resilient, and sustainable supply chains. However, realizing this potential requires strategic alignment, cultural transformation, and stakeholder collaboration.

Keywords

Big Data Analytics, Intelligent Decision-Making, Supply Chain Management, Autonomous Systems

Citations

IRE Journals:
Ogechi Thelma Uzozie , Osazee Onaghinor , Odira Kingsley Okenwa "The Influence of Big Data Analytics on Supply Chain Decision-Making." Iconic Research And Engineering Journals Volume 3 Issue 2 2019 Page 754-777

IEEE:
Ogechi Thelma Uzozie , Osazee Onaghinor , Odira Kingsley Okenwa "The Influence of Big Data Analytics on Supply Chain Decision-Making." Iconic Research And Engineering Journals, 3(2)