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Artificial intelligence and blockchain implementation in supply chains: a pathway to sustainability and data monetisation?

Author

Listed:
  • Naoum Tsolakis

    (University of Cambridge
    International Hellenic University)

  • Roman Schumacher

    (University of Cambridge)

  • Manoj Dora

    (Brunel University London)

  • Mukesh Kumar

    (University of Cambridge)

Abstract

Digitalisation is expected to transform end-to-end supply chain operations by leveraging the technical capabilities of advanced technology applications. Notwithstanding the operations-wise merits associated with the implementation of digital technologies, individually, their combined effect has been overlooked owing to limited real-world evidence. In this regard, this research explores the joint implementation of Artificial Intelligence (AI) and Blockchain Technology (BCT) in supply chains for extending operations performance boundaries and fostering sustainable development and data monetisation. Specifically, this study empirically studied the tuna fish supply chain in Thailand to identify respective end-to-end operations, observe material and data-handling processes, and envision the implementation of AI and BCT. Therefore, we first mapped the business processes and the system-level interactions to understand the governing material, data, and information flows that could be facilitated through the combined implementation of AI and BCT in the respective supply chain. The mapping results illustrate the central role of AI and BCT in digital supply chains’ management, while the associated sustainability and data monetisation impact depends on the parameters and objectives set by the involved system stakeholders. Afterwards, we proposed a unified framework that captures the key data elements that need to be digitally handled in AI and BCT enabled food supply chains for driving value delivery. Overall, the empirically-driven modelling approach is anticipated to support academics and practitioners’ decision-making in studying and introducing digital interventions toward sustainability and data monetisation.

Suggested Citation

  • Naoum Tsolakis & Roman Schumacher & Manoj Dora & Mukesh Kumar, 2023. "Artificial intelligence and blockchain implementation in supply chains: a pathway to sustainability and data monetisation?," Annals of Operations Research, Springer, vol. 327(1), pages 157-210, August.
    • Handle: RePEc:spr:annopr:v:327:y:2023:i:1:d:10.1007_s10479-022-04785-2
    DOI: 10.1007/s10479-022-04785-2
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    Cited by:

    1. 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.
    2. 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).
    3. Ibtissam Zejjari & Issam Benhayoun, 2024. "The use of artificial intelligence to advance sustainable supply chain: retrospective and future avenues explored through bibliometric analysis," Post-Print hal-04671595, HAL.

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