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A critical analysis of the integration of blockchain and artificial intelligence for supply chain

Author

Listed:
  • Vincent Charles

    (CENTRUM Católica Graduate Business School
    Pontifical Catholic University of Peru)

  • Ali Emrouznejad

    (University of Surrey)

  • Tatiana Gherman

    (University of Northampton)

Abstract

The integration between blockchain and artificial intelligence (AI) has gained a lot of attention in recent years, especially since such integration can improve security, efficiency, and productivity of applications in business environments characterised by volatility, uncertainty, complexity, and ambiguity. In particular, supply chain is one of the areas that have been shown to benefit tremendously from blockchain and AI, by enhancing information and process resilience, enabling faster and more cost-efficient delivery of products, and augmenting products’ traceability, among others. This paper performs a state-of-the-art review of blockchain and AI in the field of supply chains. More specifically, we sought to answer the following three principal questions: Q1—What are the current studies on the integration of blockchain and AI in supply chain?, Q2—What are the current blockchain and AI use cases in supply chain?, and Q3—What are the potential research directions for future studies involving the integration of blockchain and AI? The analysis performed in this paper has identified relevant research studies that have contributed both conceptually and empirically to the expansion and accumulation of intellectual wealth in the supply chain discipline through the integration of blockchain and AI.

Suggested Citation

  • Vincent Charles & Ali Emrouznejad & Tatiana Gherman, 2023. "A critical analysis of the integration of blockchain and artificial intelligence for supply chain," Annals of Operations Research, Springer, vol. 327(1), pages 7-47, August.
    • Handle: RePEc:spr:annopr:v:327:y:2023:i:1:d:10.1007_s10479-023-05169-w
    DOI: 10.1007/s10479-023-05169-w
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    References listed on IDEAS

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    Cited by:

    1. Emilia Vann Yaroson & Soumyadeb Chowdhury & Sachin Kumar Mangla & Prasanta Kumar Dey, 2024. "Unearthing the interplay between organisational resources, knowledge and industry 4.0 analytical decision support tools to achieve sustainability and supply chain wellbeing," Annals of Operations Research, Springer, vol. 342(2), pages 1321-1368, November.
    2. Simon Wong & John Kun-Woon Yeung & Yui-Yip Lau & Tomoya Kawasaki, 2023. "A Case Study of How Maersk Adopts Cloud-Based Blockchain Integrated with Machine Learning for Sustainable Practices," Sustainability, MDPI, vol. 15(9), pages 1-17, April.
    3. Ali Emrouznejad & Soumyadeb Chowdhury & Prasanta Kumar Dey, 2023. "Blockchain in operations and supply Chain Management," Annals of Operations Research, Springer, vol. 327(1), pages 1-6, August.
    4. Wang, Qiang & Ji, Xiang & Zhao, Nenggui, 2024. "Embracing the power of AI in retail platform operations: Considering the showrooming effect and consumer returns," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
    5. Binh Nguyen Thanh & Ha Xuan Son & Diem Thi Hong Vo, 2024. "Blockchain: The Economic and Financial Institution for Autonomous AI?," JRFM, MDPI, vol. 17(2), pages 1-20, January.
    6. wael AL-khatib, Ayman, 2023. "Drivers of generative artificial intelligence to fostering exploitative and exploratory innovation: A TOE framework," Technology in Society, Elsevier, vol. 75(C).
    7. Simon Wong & John Kun Woon Yeung & Yui-Yip Lau & Tomoya Kawasaki & Raymond Kwong, 2024. "A Critical Literature Review on Blockchain Technology Adoption in Supply Chains," Sustainability, MDPI, vol. 16(12), pages 1-40, June.
    8. Vaibhav Sharma & Rajeev Agrawal & Vijaya Kumar Manupati, 2024. "Blockchain technology as an enabler for digital trust in supply chain: evolution, issues and opportunities," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(9), pages 4183-4209, September.

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