IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v327y2023i1d10.1007_s10479-022-04785-2.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-022-04785-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10479-022-04785-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Suyuan Luo & Tsan-Ming Choi, 2022. "Operational Research for Technology-Driven Supply Chains in the Industry 4.0 Era: Recent Development and Future Studies," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 39(01), pages 1-24, February.
    2. Hartley, Janet L. & Sawaya, William J., 2019. "Tortoise, not the hare: Digital transformation of supply chain business processes," Business Horizons, Elsevier, vol. 62(6), pages 707-715.
    3. Frank Ebinger & Bramwel Omondi, 2020. "Leveraging Digital Approaches for Transparency in Sustainable Supply Chains: A Conceptual Paper," Sustainability, MDPI, vol. 12(15), pages 1-16, July.
    4. Jagjit Singh Srai & Nitin Joglekar & Naoum Tsolakis & Sandeep Kapur, 2022. "Interplay between Competing and Coexisting Policy Regimens within Supply Chain Configurations," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 457-477, February.
    5. Sachin Kamble & Angappa Gunasekaran & Himanshu Arha, 2019. "Understanding the Blockchain technology adoption in supply chains-Indian context," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2009-2033, April.
    6. Ting, S.L. & Tse, Y.K. & Ho, G.T.S. & Chung, S.H. & Pang, G., 2014. "Mining logistics data to assure the quality in a sustainable food supply chain: A case in the red wine industry," International Journal of Production Economics, Elsevier, vol. 152(C), pages 200-209.
    7. Zhiyuan Wang & Zhiqiang (Eric) Zheng & Wei Jiang & Shaojie Tang, 2021. "Blockchain‐Enabled Data Sharing in Supply Chains: Model, Operationalization, and Tutorial," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 1965-1985, July.
    8. Philippe Mongeon & Adèle Paul-Hus, 2016. "The journal coverage of Web of Science and Scopus: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 213-228, January.
    9. Kamble, Sachin S & Gunasekaran, Angappa & Parekh, Harsh & Mani, Venkatesh & Belhadi, Amine & Sharma, Rohit, 2022. "Digital twin for sustainable manufacturing supply chains: Current trends, future perspectives, and an implementation framework," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    10. Jagjit Singh Srai, 2017. "Mapping industrial systems - a supply network perspective on enabling technologies, processes and actors," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 31(1/2/3), pages 82-99.
    11. Taghikhah, Firouzeh & Voinov, Alexey & Shukla, Nagesh & Filatova, Tatiana & Anufriev, Mikhail, 2021. "Integrated modeling of extended agro-food supply chains: A systems approach," European Journal of Operational Research, Elsevier, vol. 288(3), pages 852-868.
    12. Proudlove, N.C. & Bisogno, S. & Onggo, B.S.S. & Calabrese, A. & Levialdi Ghiron, N., 2017. "Towards fully-facilitated discrete event simulation modelling: Addressing the model coding stage," European Journal of Operational Research, Elsevier, vol. 263(2), pages 583-595.
    13. Aditya Chidepatil & Prabhleen Bindra & Devyani Kulkarni & Mustafa Qazi & Meghana Kshirsagar & Krishnaswamy Sankaran, 2020. "From Trash to Cash: How Blockchain and Multi-Sensor-Driven Artificial Intelligence Can Transform Circular Economy of Plastic Waste?," Administrative Sciences, MDPI, vol. 10(2), pages 1-16, April.
    14. Tsolakis, Naoum & Niedenzu, Denis & Simonetto, Melissa & Dora, Manoj & Kumar, Mukesh, 2021. "Supply network design to address United Nations Sustainable Development Goals: A case study of blockchain implementation in Thai fish industry," Journal of Business Research, Elsevier, vol. 131(C), pages 495-519.
    15. Naoum Tsolakis & Jagjit Singh Srai, 2018. "Mapping supply dynamics in renewable feedstock enabled industries: A systems theory perspective on ‘green’ pharmaceuticals," Operations Management Research, Springer, vol. 11(3), pages 83-104, December.
    16. Michael Gibbert & Winfried Ruigrok & Barbara Wicki, 2008. "What passes as a rigorous case study?," Strategic Management Journal, Wiley Blackwell, vol. 29(13), pages 1465-1474, December.
    17. Edmond Awad & Sohan Dsouza & Richard Kim & Jonathan Schulz & Joseph Henrich & Azim Shariff & Jean-François Bonnefon & Iyad Rahwan, 2018. "The Moral Machine experiment," Nature, Nature, vol. 563(7729), pages 59-64, November.
    18. Mehrdokht Pournader & Yangyan Shi & Stefan Seuring & S.C. Lenny Koh, 2020. "Blockchain applications in supply chains, transport and logistics: a systematic review of the literature," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 2063-2081, April.
    19. Purva Grover & Arpan Kumar Kar & Yogesh K. Dwivedi, 2022. "Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions," Annals of Operations Research, Springer, vol. 308(1), pages 177-213, January.
    20. Toorajipour, Reza & Sohrabpour, Vahid & Nazarpour, Ali & Oghazi, Pejvak & Fischl, Maria, 2021. "Artificial intelligence in supply chain management: A systematic literature review," Journal of Business Research, Elsevier, vol. 122(C), pages 502-517.
    21. Georgiadis, Patroklos & Vlachos, Dimitrios, 2004. "The effect of environmental parameters on product recovery," European Journal of Operational Research, Elsevier, vol. 157(2), pages 449-464, September.
    22. Wang, Yingli & Singgih, Meita & Wang, Jingyao & Rit, Mihaela, 2019. "Making sense of blockchain technology: How will it transform supply chains?," International Journal of Production Economics, Elsevier, vol. 211(C), pages 221-236.
    23. Bumblauskas, Daniel & Mann, Arti & Dugan, Brett & Rittmer, Jacy, 2020. "A blockchain use case in food distribution: Do you know where your food has been?," International Journal of Information Management, Elsevier, vol. 52(C).
    24. Richard W. Ryan & Daniel S. Holland & Guillermo E. Herrera, 2014. "Ecosystem Externalities in Fisheries," Marine Resource Economics, University of Chicago Press, vol. 29(1), pages 39-53.
    25. Konstantinos Sgantzos & Ian Grigg, 2019. "Artificial Intelligence Implementations on the Blockchain. Use Cases and Future Applications," Future Internet, MDPI, vol. 11(8), pages 1-15, August.
    26. Kshetri, Nir, 2018. "1 Blockchain’s roles in meeting key supply chain management objectives," International Journal of Information Management, Elsevier, vol. 39(C), pages 80-89.
    27. Prakash Agrawal & Rakesh Narain, 2021. "Analysis of enablers for the digitalization of supply chain using an interpretive structural modelling approach," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 72(2), pages 410-439, July.
    28. Shahriar Akter & Katina Michael & Muhammad Rajib Uddin & Grace McCarthy & Mahfuzur Rahman, 2022. "Transforming business using digital innovations: the application of AI, blockchain, cloud and data analytics," Annals of Operations Research, Springer, vol. 308(1), pages 7-39, January.
    29. Naoum Tsolakis & Jagjit Singh Srai & Eirini Aivazidou, 2018. "Blue Water Footprint Management in a UK Poultry Supply Chain under Environmental Regulatory Constraints," Sustainability, MDPI, vol. 10(3), pages 1-13, February.
    30. Oscar Rodríguez-Espíndola & Soumyadeb Chowdhury & Ahmad Beltagui & Pavel Albores, 2020. "The potential of emergent disruptive technologies for humanitarian supply chains: the integration of blockchain, Artificial Intelligence and 3D printing," International Journal of Production Research, Taylor & Francis Journals, vol. 58(15), pages 4610-4630, July.
    31. Kouhizadeh, Mahtab & Saberi, Sara & Sarkis, Joseph, 2021. "Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers," International Journal of Production Economics, Elsevier, vol. 231(C).
    32. Prakash Agrawal & Rakesh Narain, 2021. "Analysis of enablers for the digitalization of supply chain using an interpretive structural modelling approach," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 72(2), pages 410-439, July.
    33. Volodymyr Babich & Gilles Hilary, 2020. "OM Forum—Distributed Ledgers and Operations: What Operations Management Researchers Should Know About Blockchain Technology," Manufacturing & Service Operations Management, INFORMS, vol. 22(2), pages 223-245, March.
    34. Bin Shen & Tsan-Ming Choi & Stefan Minner, 2019. "A review on supply chain contracting with information considerations: information updating and information asymmetry," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 4898-4936, August.
    35. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    36. ManMohan S. Sodhi & Zahra Seyedghorban & Hossein Tahernejad & Danny Samson, 2022. "Why emerging supply chain technologies initially disappoint: Blockchain, IoT, and AI," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2517-2537, June.
    37. Zhi-Ping Fan & Xue-Yan Wu & Bing-Bing Cao, 2022. "Considering the traceability awareness of consumers: should the supply chain adopt the blockchain technology?," Annals of Operations Research, Springer, vol. 309(2), pages 837-860, February.
    38. George Baryannis & Sahar Validi & Samir Dani & Grigoris Antoniou, 2019. "Supply chain risk management and artificial intelligence: state of the art and future research directions," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2179-2202, April.
    39. Assunta Di Vaio & Flavio Boccia & Loris Landriani & Rosa Palladino, 2020. "Artificial Intelligence in the Agri-Food System: Rethinking Sustainable Business Models in the COVID-19 Scenario," Sustainability, MDPI, vol. 12(12), pages 1-12, June.
    40. Cubric, Marija, 2020. "Drivers, barriers and social considerations for AI adoption in business and management: A tertiary study," Technology in Society, Elsevier, vol. 62(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Agi, Maher A.N. & Jha, Ashish Kumar, 2022. "Blockchain technology in the supply chain: An integrated theoretical perspective of organizational adoption," International Journal of Production Economics, Elsevier, vol. 247(C).
    2. Qingyu Zhang & Salman Khan & Safeer Ullah Khan & Ikram Ullah Khan, 2023. "Understanding Blockchain Technology Adoption in Operation and Supply Chain Management of Pakistan: Extending UTAUT Model With Technology Readiness, Technology Affinity and Trust," SAGE Open, , vol. 13(4), pages 21582440231, October.
    3. Ulpan Tokkozhina & Ana Lucia Martins & Joao C. Ferreira, 2023. "Uncovering dimensions of the impact of blockchain technology in supply chain management," Operations Management Research, Springer, vol. 16(1), pages 99-125, March.
    4. Kumar, Devinder & Singh, Rajesh Kr & Mishra, Ruchi & Daim, Tugrul U., 2023. "Roadmap for integrating blockchain with Internet of Things (IoT) for sustainable and secured operations in logistics and supply chains: Decision making framework with case illustration," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    5. Kirti Nayal & Rakesh D. Raut & Balkrishna E. Narkhede & Pragati Priyadarshinee & Gajanan B. Panchal & Vidyadhar V. Gedam, 2023. "Antecedents for blockchain technology-enabled sustainable agriculture supply chain," Annals of Operations Research, Springer, vol. 327(1), pages 293-337, August.
    6. Zhang, Tianyu & Dong, Peiwu & Chen, Xiangfeng & Gong, Yu, 2023. "The impacts of blockchain adoption on a dual-channel supply chain with risk-averse members," Omega, Elsevier, vol. 114(C).
    7. Chuangneng Cai & Xiancheng Hao & Kui Wang & Xuebing Dong, 2023. "The Impact of Perceived Benefits on Blockchain Adoption in Supply Chain Management," Sustainability, MDPI, vol. 15(8), pages 1-24, April.
    8. Archana A Mukherjee & Rajesh Kumar Singh & Ruchi Mishra & Surajit Bag, 2022. "Application of blockchain technology for sustainability development in agricultural supply chain: justification framework," Operations Management Research, Springer, vol. 15(1), pages 46-61, June.
    9. Dimitris Zissis, 2023. "Information sharing through digitalisation in decentralised supply chains," Annals of Operations Research, Springer, vol. 327(2), pages 763-778, August.
    10. 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.
    11. Kumar, Sourabh & Barua, Mukesh Kumar, 2023. "Exploring the hyperledger blockchain technology disruption and barriers of blockchain adoption in petroleum supply chain," Resources Policy, Elsevier, vol. 81(C).
    12. Soumyadeb Chowdhury & Oscar Rodriguez-Espindola & Prasanta Dey & Pawan Budhwar, 2023. "Blockchain technology adoption for managing risks in operations and supply chain management: evidence from the UK," Annals of Operations Research, Springer, vol. 327(1), pages 539-574, August.
    13. Abderahman Rejeb & Karim Rejeb & Steve Simske & Horst Treiblmaier, 2021. "Blockchain Technologies in Logistics and Supply Chain Management: A Bibliometric Review," Logistics, MDPI, vol. 5(4), pages 1-28, October.
    14. Kongmanas Yavaprabhas & Mehrdokht Pournader & Stefan Seuring, 2023. "Blockchain as the “trust-building machine” for supply chain management," Annals of Operations Research, Springer, vol. 327(1), pages 49-88, August.
    15. Atanu Chaudhuri & Manjot Singh Bhatia & Yasanur Kayikci & Kiran J. Fernandes & Samuel Fosso-Wamba, 2023. "Improving social sustainability and reducing supply chain risks through blockchain implementation: role of outcome and behavioural mechanisms," Annals of Operations Research, Springer, vol. 327(1), pages 401-433, August.
    16. Büyüközkan, Gülçin & Tüfekçi, Gizem & Uztürk, Deniz, 2021. "Evaluating Blockchain requirements for effective digital supply chain management," International Journal of Production Economics, Elsevier, vol. 242(C).
    17. Venkataiah Chittipaka & Satish Kumar & Uthayasankar Sivarajah & Jana Lay-Hwa Bowden & Manish Mohan Baral, 2023. "Blockchain Technology for Supply Chains operating in emerging markets: an empirical examination of technology-organization-environment (TOE) framework," Annals of Operations Research, Springer, vol. 327(1), pages 465-492, August.
    18. Choi, Tsan-Ming & Siqin, Tana, 2022. "Blockchain in logistics and production from Blockchain 1.0 to Blockchain 5.0: An intra-inter-organizational framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    19. Yuling Sun & Xiaomei Song & Yihao Jiang & Jian Guo, 2023. "Strategy Analysis of Fresh Agricultural Enterprises in a Competitive Circumstance: The Impact of Blockchain and Consumer Traceability Preferences," Mathematics, MDPI, vol. 11(5), pages 1-18, February.
    20. Cao, Yu & Yi, Chaoqun & Wan, Guangyu & Hu, Hanli & Li, Qingsong & Wang, Shouyang, 2022. "An analysis on the role of blockchain-based platforms in agricultural supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:327:y:2023:i:1:d:10.1007_s10479-022-04785-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.