Call for Chapters: Ecological and Human Dimensions of AI-Based Supply Chain

Editors

Atour Taghipour, Normandy University, France

Call for Chapters

Proposals Submission Deadline: June 30, 2024
Full Chapters Due: September 1, 2024
Submission Date: September 1, 2024

Introduction

We are pleased to announce the call for chapters for the upcoming book on "Ecological and Human Dimensions of AI-Based Supply Chain." This book aims to bring together researchers, practitioners, and industry experts to explore the transformative impacts of artificial intelligence (AI) on supply chain management, with a particular focus on ecological sustainability and human-centric approaches.

Objective

The book likely aims to explore the intersection of artificial intelligence (AI) with supply chain management, emphasizing both ecological sustainability and human factors. Here are some potential objectives of the book: Understanding AI in Supply Chain Management: To provide a comprehensive overview of how AI technologies are being integrated into supply chain operations. To explain the mechanisms and processes through which AI enhances supply chain efficiency, agility, and resilience. Ecological Impact: To examine the environmental implications of AI-based supply chain systems. To identify ways in which AI can be leveraged to promote sustainable practices, reduce waste, and minimize the carbon footprint of supply chain activities. Human Dimensions: To explore the impact of AI on the workforce involved in supply chain management, including changes in job roles, skill requirements, and employment patterns. To discuss ethical considerations and the importance of maintaining a human-centered approach in the deployment of AI technologies in supply chains. Integration Challenges and Solutions: To identify the challenges and barriers to integrating AI into existing supply chain frameworks. To propose solutions and strategies for overcoming these challenges, ensuring smooth and effective implementation of AI. Case Studies and Applications: To provide real-world examples and case studies that illustrate the successful application of AI in various aspects of supply chain management. To highlight best practices and lessons learned from these case studies to guide practitioners and researchers. Future Trends and Innovations: To discuss emerging trends and innovations in AI technology that are likely to impact supply chains in the future. To predict how these advancements could further enhance ecological sustainability and address human-related challenges in supply chain management. Policy and Regulatory Considerations: To analyze the role of policy and regulation in shaping the adoption and use of AI in supply chains. To suggest policy frameworks that could support the responsible and ethical use of AI, balancing technological advancement with ecological and human considerations. Interdisciplinary Perspectives: To bring together insights from various disciplines, including supply chain management, AI technology, environmental science, and human resource management, providing a holistic view of the subject. To foster interdisciplinary dialogue and collaboration in addressing the complex challenges at the intersection of AI, ecology, and human factors. By achieving these objectives, the book aims to contribute to a deeper understanding of how AI can be harnessed to create more sustainable, efficient, and human-friendly supply chain systems.

Target Audience

The target audience for the book is likely to be diverse, encompassing professionals and academics across multiple fields. Here are some specific groups that would find this book particularly relevant: Supply Chain Professionals: Managers, directors, and executives involved in supply chain and logistics who are looking to understand how AI can be integrated into their operations to improve efficiency and sustainability. Environmental and Sustainability Experts: Professionals focused on sustainability and environmental impact who want to explore how AI can be used to promote eco-friendly practices within supply chains. AI and Technology Specialists: Developers, engineers, and data scientists working with AI technologies who are interested in applications of their work in the supply chain sector and the associated ecological and human implications. Academics and Researchers: Scholars in fields such as supply chain management, environmental science, industrial engineering, and information technology who are conducting research on the intersection of AI and supply chain management. Policy Makers and Regulators: Government officials and policy makers involved in creating regulations and policies around AI implementation and environmental sustainability in the industrial and logistics sectors. Business Consultants and Strategists: Consultants who advise companies on supply chain strategies and are looking for insights into how AI can enhance sustainability and efficiency. Students and Educators: Students pursuing studies in supply chain management, AI, environmental studies, and related fields who need a comprehensive resource on the subject. Educators seeking to include contemporary issues and technological advancements in their curriculum. Industry Analysts and Thought Leaders: Analysts and thought leaders who track trends and innovations in AI, supply chain management, and sustainability and need an in-depth resource to inform their analysis and reporting.

Recommended Topics

Topics of Interest: We invite high-quality, original submissions that address a wide range of topics related to the ecological and human dimensions of AI-based supply chain management. Topics of interest include, but are not limited to: Ecological Sustainability: ▪ AI-driven strategies for reducing carbon footprint in supply chains. ▪ Optimization of resource usage and waste management through AI. ▪ Sustainable logistics and transportation powered by AI. ▪ Case studies on successful green AI supply chain implementations. Human Dimensions: ▪ The impact of AI on workforce dynamics and employment in supply chains. ▪ Ethical considerations and challenges of AI in supply chain management. ▪ Enhancing human-AI collaboration for improved decision-making. ▪ Human-centered design in AI-driven supply chain solutions. Technological Innovations: ▪ Advanced AI algorithms for supply chain optimization. ▪ Machine learning applications in demand forecasting and inventory management. ▪ IoT and AI integration for real-time supply chain monitoring. ▪ Blockchain and AI for secure and transparent supply chains. Case Studies and Applications: ▪ Real-world implementations of AI in supply chains. ▪ Cross-industry analyses of AI adoption in supply chain practices. ▪ Lessons learned from AI-driven supply chain disruptions and adaptations. ▪ Comparative studies on AI technologies in global supply chain networks.

Submission Procedure

Researchers and practitioners are invited to submit on or before June 30, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by July 14, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by September 1, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Ecological and Human Dimensions of AI-Based Supply Chain. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.



Important Dates

June 30, 2024: Proposal Submission Deadline
July 14, 2024: Notification of Acceptance
September 1, 2024: Full Chapter Submission
October 6, 2024: Review Results Returned
November 3, 2024: Final Acceptance Notification
November 10, 2024: Final Chapter Submission



Inquiries

Atour Taghipour Normandy University atour.taghipour@univ-lehavre.fr

Classifications


Business and Management; Computer Science and Information Technology; Life Sciences; Security and Forensics; Social Sciences and Humanities; Physical Sciences and Engineering
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