Respected academicians and researchers,

We are pleased to invite contributions for our forthcoming edited book:

Submit Your Proposal Here: https://www.igi-global.com/publish/call-for-papers/call-details/9224

📖 Book Title: Enhancing Sustainability in Global Supply Chains With Big Data Analytics

Important Dates

• Proposal Submission Deadline: September 28, 2025
• Full Chapters Due: December 21, 2025

Introduction

This book explores how Big Data Analytics (BDA) including Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) is revolutionizing sustainable supply chains. It provides a comprehensive framework for reducing environmental impact, enhancing ethical sourcing, and integrating circular economy principles. Through empirical studies and case analyses, it addresses challenges such as data privacy and interoperability while offering actionable insights for achieving sustainability without compromising operational competitiveness.

Objectives

The volume aims to:

• Establish frameworks for leveraging BDA in sustainability-driven supply chain management.
• Analyze AI, ML, and IoT applications in resource efficiency, waste reduction, and carbon footprint tracking.
• Explore integration of circular economy models and ESG reporting.
• Present case studies and research-based insights that bridge theory and practice.

Target Audience

This book will serve:

• Academic researchers and graduate students in supply chain management, sustainability, and data science.
• Corporate practitioners and logistics managers seeking data-driven solutions.
• Policymakers, NGOs, and consultants integrating sustainability metrics into analytics platforms.
• As a textbook for advanced courses in sustainable operations, business analytics, and ESG-driven supply chain practices.

Recommended Topics (not limited to)

• Big Data in sustainable global supply chains
• AI-driven carbon footprint tracking
• Circular economy and reverse logistics
• ESG reporting through predictive analytics
• Blockchain and big data for supply chain transparency
• IoT and digital twins in lifecycle sustainability
• Green logistics and last-mile optimization
• Zero-waste inventory systems and eco-friendly warehousing
• Cybersecurity and data privacy in sustainable supply chains
• Policy and governance for data-driven sustainability in Industry 5.0

Editors:

• Mohammad Kamrul Hasan, Tongling University, China
• Tahsina Khan, Bangladesh University of Professionals (BUP), Bangladesh
• Arbia Hlali, Taibah University, Saudi Arabia
• Md Mehedi Hasan Emon, American International University-Bangladesh, Bangladesh