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Explainable AI and Blockchain for Secure and Agile Supply Chains: Enhancing Transparency, Traceability, and Accountability

A Volume in the Chapman & Hall/CRC Artificial Intelligence and Robotics Series

Taylor & Francis Catalog #: T122086, ISBN: 9781032803746.

Prof. (Dr.) Ajay Kumar Sharma
Professor and M. Tech (Program Head)
Computer Science and Engineering
Geetanjali Institute of Technical Studies
Udaipur, Rajasthan, India.
Assoc. Prof. Narasimha Rao Vajjhala
Dean, Faculty of Engineering and Architecture,
University of New York Tirana
Rakshit Kothari
Doctorate Scholar
Computer Science and Engineering 
Maharana Pratap University of
Agriculture and Technology
Udaipur, Rajasthan, India.
Latest Photo Dr. Raja.jpg
Prof. (Dr.) Rajasekhara Mouly Potluri
Professor - Management/Marketing
School of Business
Kazakh-British Technical University
Almaty, Kazakhstan.

About the Book

Integrating blockchain technology and explainable artificial intelligence (XAI) has witnessed significant advancements, especially in supply chain management. This book will explore the synergies between blockchain and XAI, focusing on their combined potential to enhance transparency, traceability, and accountability within the supply chain ecosystem. Integrating blockchain and XAI represents a promising frontier for supply chain optimization. The combined technologies enhance transparency and traceability and empower stakeholders with actionable insights. The book aims to be a comprehensive guide for academics, professionals, and researchers interested in understanding how integrating blockchain technology and explainable AI can transform supply chains, address challenges, and maximize opportunities in this evolving landscape. This book will envision and navigate the path toward transparent, efficient, and ethically sound supply chain management amidst a rapidly changing technological landscape.

This book will explore use cases, real-life examples, challenges, and potential future developments where the synergy between blockchain technology and XAI can revolutionize supply chain management. Additionally, this book will explore the technical aspects, such as the integration methodologies and the impact on existing systems, which could offer valuable insights to the readers. The book aims to be an extensive guide that educates and serves as a practical resource for industry practitioners, researchers, policymakers, and anyone interested in understanding the fusion of blockchain technology and XAI in optimizing supply chain operations.

The research questions guiding this book project include:


  • How can blockchain technology enhance transparency and traceability in the supply chain, and how can XAI complement this aspect to ensure comprehensible decision-making processes?

  • What are the current challenges and limitations in integrating blockchain and XAI within the supply chain, and what strategies can be proposed to overcome these obstacles?

  • How does integrating blockchain and XAI technologies impact the speed, accuracy, and reliability of decision-making processes within the supply chain?

  • What are the barriers to the widespread adoption of these technologies within the supply chain, and how can they be overcome?

  • What future trends can be predicted regarding the evolution of blockchain technology and XAI in the supply chain domain?

Note: There are NO submission or acceptance fees for manuscripts submitted to this book publication. This book will be submitted for possible indexation to Scopus, Web of Science, and major indices.

Topics (Suggestive but not limited to)

The proposed tentative content for this book is given below:

  1. Introduction to Blockchain Technology and Explainable AI in the Supply Chain

    • Overview of Blockchain Technology

      • Concept and fundamentals

      • Key features and functionalities

      • Application domains in supply chain management

    • Explainable Artificial Intelligence

      • Understanding interpretability and explainability in AI

      • Importance in supply chain decision-making

      • Challenges and current state-of-the-art models

  2. Integration of Blockchain Technology and Supply Chain

    • Blockchain's Impact on Supply Chain

      • Transparency and immutability in transactions

      • Traceability and provenance verification

      • Smart contracts and automation

    • Integration Challenges and Considerations

      • Technical hurdles in blockchain implementation

      • Interoperability with existing systems

      • Scalability issues and potential solutions

      • Case Studies on Integration Successes and Failures

  3. Explainable AI in Supply Chain Decision-Making

    • Explainability in AI Models

      • Importance in supply chain contexts

      • Types of explainable AI techniques

      • Case studies highlighting successful applications

    • Ethical and Regulatory Aspects

      • Ethical considerations in AI decision-making

      • Challenges in Data Privacy and Security

      • Regulatory compliance and data privacy

      • Ensuring fairness and avoiding biases in AI models

  4. Advancing Supply Chain with Blockchain-Backed Explainable AI

    • Use Cases and Real-Life Implementations

      • Examples of successful integration

      • Improvements in efficiency, cost, and risk management

      • Lessons learned and best practices

    • Impact on Stakeholders and Collaboration

      • Building trust among supply chain actors

      • Transparency's role in enhancing collaboration

      • Benefits for different stakeholders in the ecosystem

  5. Human-Centric Approaches in Blockchain and AI for Supply Chain

    • User Experience and Adoption Barriers

      • Understanding User Resistance

      • Designing User-Friendly Interfaces

      • Overcoming Adoption Challenges

    • Training and Skill Development for Workforce

      • Identifying Skill Gaps

      • Effective Training Programs

      • Continuous Learning and Adaptation

  6. Sustainable Supply Chain Practices with Blockchain and AI

    • Blockchain and AI for Environmental Sustainability

      • Reducing Carbon Footprint with Technology

      • Sustainable Resource Management

      • Transparency in Environmental Impact Reporting

    • Case Studies on Green Supply Chains

      • Innovative Startups and Their Impact

      • Large Corporations Going Green

      • Challenges and Successes in Different Industries

    • Social Responsibility and Ethical Sourcing

      • Ensuring Fair Labor Practices with Technology

      • Impact of Technology on Small-Scale Producers

      • Building Ethical Supply Chains

  7. Innovation and Venture Perspectives in Blockchain-AI Supply Chains

    • Startup Ecosystem and Venture Capital in this Domain

      • Landscape of Blockchain and AI Startups

      • Venture Capital Trends and Investment Strategies

      • Incubators and Accelerators Role

    • Innovations and Future Startups to Watch

      • Disruptive Innovations

      • Emerging Startups

      • Collaborations and Partnerships for Innovation

    • Challenges and Opportunities for New Ventures

      • Navigating Market Entry Barriers

      • Identifying Market Opportunities

      • Sustainability and Scalability of New Ventures

  8. Risk Management and Contingency Planning in AI-Blockchain Systems

    • Identifying and Mitigating Risks in High-Tech Supply Chains

      • Risk Assessment in Digital Supply Chain Environments

      • Cybersecurity Threats and Mitigation Strategies

      • Supply Chain Disruption Scenarios and Contingency Planning

    • Strategies for Robust and Resilient Supply Chain Networks

      • Building Flexibility in Supply Chain Design

      • Leveraging AI and Blockchain for Resilience

      • Collaboration and Information Sharing for Resilience

    • Crisis Management and Rapid Response Mechanisms

      • Developing a Crisis Management Framework

      • Rapid Response with AI-Driven Analytics

      • Case Studies of Effective Crisis Management

  9. Future Trends and Implications

    • Emerging Trends in Blockchain and Explainable AI

      • Predictions for technological advancements

      • Potential disruptions and transformative impacts

      • Forecasting the evolution of supply chains

    • Adoption Strategies and Recommendations

      • Recommendations for businesses and policymakers

      • Training and education for effective adoption

      • Anticipating challenges and preparing for the future

  10. Conclusion and Outlook

    • Summary of Key Findings and Takeaways

    • Final thoughts on the future of supply chains with these technologies

Submission Guidelines

All papers must be original and not simultaneously submitted to another book, journal, or conference.

Kindly note the following when submitting your book chapter:

  • Submit an initial proposal to the following link, including the chapter title and the problem/purpose statement explaining the proposed chapter:



  • The length of the chapter should be 6,000-8,000 words.

  • Paper should be formatted as per the template provided. 


Chapter Template

Chapter Formatting Guidelines

Referencing and Citation Guidelines

  • All authors should check the 

  • All papers will be checked for plagiarism.

  • The referencing and Citation style used for this book is APA 7th edition. 

Feel free to email us if you have questions or want feedback on your proposed research question (,, You may also contact us via professional social media at:

Important Dates

Expression of Interest                -    March 15, 2024

Draft Chapter Due Date             -    May 30, 2024 

Peer Review Period                   -    June 1 - July 30, 2024

Finalized Chapter Due               -    August 15, 2024

Final Acceptance Notification    -    August 30, 2024

Book Publication Date               -    October 2024

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