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Fake news, misinformation, disinformation and supply chain risks and disruptions: risk management and resilience using blockchain

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  • Pythagoras N. Petratos

    (Coventry University Business School)

  • Alessio Faccia

    (Birmingham University Business School)

Abstract

Fake news, misinformation and disinformation have significantly increased over the past years, and they have a profound effect on societies and supply chains. This paper examines the relationship of information risks with supply chain disruptions and proposes blockchain applications and strategies to mitigate and manage them. We critically review the literature of SCRM and SCRES and find that information flows and risks are relatively attracting less attention. We contribute by suggesting that information integrates other flows, processes and operations, and it is an overarching theme that is essential in every part of the supply chain. Based on related studies we create a theoretical framework that incorporates fake news, misinformation and disinformation. To our knowledge, this is a first attempt to combine types of misleading information and SCRM/SCRES. We find that fake news, misinformation and disinformation can be amplified and cause larger supply chain disruptions, especially when they are exogenous and intentional. Finally, we present both theoretical and practical applications of blockchain technology to supply chain and find support that blockchain can actually advance risk management and resilience of supply chains. Cooperation and information sharing are effective strategies.

Suggested Citation

  • Pythagoras N. Petratos & Alessio Faccia, 2023. "Fake news, misinformation, disinformation and supply chain risks and disruptions: risk management and resilience using blockchain," Annals of Operations Research, Springer, vol. 327(2), pages 735-762, August.
  • Handle: RePEc:spr:annopr:v:327:y:2023:i:2:d:10.1007_s10479-023-05242-4
    DOI: 10.1007/s10479-023-05242-4
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    References listed on IDEAS

    as
    1. Julianne E. Dunn, 2021. "COVID-19 and Supply Chains: A Year of Evolving Disruption," Cleveland Fed District Data Brief 20210226, Federal Reserve Bank of Cleveland.
    2. Surya Prakash & Gunjan Soni & Ajay Pal Singh Rathore, 2017. "A critical analysis of supply chain risk management content: a structured literature review," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 14(1), pages 69-90, February.
    3. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    4. Petratos, Pythagoras N., 2021. "Misinformation, disinformation, and fake news: Cyber risks to business," Business Horizons, Elsevier, vol. 64(6), pages 763-774.
    5. Nachiappan Subramanian & Atanu Chaudhuri & Yaşanur Kayıkcı, 2020. "Blockchain and Supply Chain Logistics," Springer Books, Springer, number 978-3-030-47531-4, December.
    6. Yanling Chang & Eleftherios Iakovou & Weidong Shi, 2020. "Blockchain in global supply chains and cross border trade: a critical synthesis of the state-of-the-art, challenges and opportunities," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 2082-2099, April.
    7. Beamon, Benita M., 1998. "Supply chain design and analysis:: Models and methods," International Journal of Production Economics, Elsevier, vol. 55(3), pages 281-294, August.
    8. Min, Hokey, 2019. "Blockchain technology for enhancing supply chain resilience," Business Horizons, Elsevier, vol. 62(1), pages 35-45.
    9. William Ho & Tian Zheng & Hakan Yildiz & Srinivas Talluri, 2015. "Supply chain risk management: a literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 53(16), pages 5031-5069, August.
    10. Faisal Aqlan & Sarah S. Lam, 2015. "Supply chain risk modelling and mitigation," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5640-5656, September.
    11. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    12. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    13. Tang, Ou & Nurmaya Musa, S., 2011. "Identifying risk issues and research advancements in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 133(1), pages 25-34, September.
    14. Hissu Hyvärinen & Marten Risius & Gustav Friis, 2017. "A Blockchain-Based Approach Towards Overcoming Financial Fraud in Public Sector Services," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(6), pages 441-456, December.
    15. Jay R. Galbraith, 1974. "Organization Design: An Information Processing View," Interfaces, INFORMS, vol. 4(3), pages 28-36, May.
    16. Antonios Litke & Dimosthenis Anagnostopoulos & Theodora Varvarigou, 2019. "Blockchains for Supply Chain Management: Architectural Elements and Challenges Towards a Global Scale Deployment," Logistics, MDPI, vol. 3(1), pages 1-17, January.
    17. Frank Chen & Zvi Drezner & Jennifer K. Ryan & David Simchi-Levi, 2000. "Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information," Management Science, INFORMS, vol. 46(3), pages 436-443, March.
    18. Célestin Elock Son, 2018. "Supply Chain Risk Management: A Review of Thirteen Years of Research," Post-Print hal-03029453, HAL.
    19. Jiang Duan & Chen Zhang & Yu Gong & Steve Brown & Zhi Li, 2020. "A Content-Analysis Based Literature Review in Blockchain Adoption within Food Supply Chain," IJERPH, MDPI, vol. 17(5), pages 1-17, March.
    20. Pan, Xiongfeng & Pan, Xianyou & Song, Malin & Ai, Bowei & Ming, Yang, 2020. "Blockchain technology and enterprise operational capabilities: An empirical test," International Journal of Information Management, Elsevier, vol. 52(C).
    21. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 211-236, Spring.
    22. Angelis, Jannis & Ribeiro da Silva, Elias, 2019. "Blockchain adoption: A value driver perspective," Business Horizons, Elsevier, vol. 62(3), pages 307-314.
    23. Edvard Tijan & Saša Aksentijević & Katarina Ivanić & Mladen Jardas, 2019. "Blockchain Technology Implementation in Logistics," Sustainability, MDPI, vol. 11(4), pages 1-13, February.
    24. Stephan M. Wagner & Christoph Bode, 2009. "Dominant Risks and Risk Management Practices in Supply Chains," International Series in Operations Research & Management Science, in: George A. Zsidisin & Bob Ritchie (ed.), Supply Chain Risk, chapter 17, pages 271-290, Springer.
    25. Surya Prakash & Gunjan Soni & Ajay Pal Singh Rathore, 2017. "A critical analysis of supply chain risk management content: a structured literature review," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 14(1), pages 69-90, February.
    26. Richard L. Daft & Robert H. Lengel, 1986. "Organizational Information Requirements, Media Richness and Structural Design," Management Science, INFORMS, vol. 32(5), pages 554-571, May.
    27. Benjamin R. Tukamuhabwa & Mark Stevenson & Jerry Busby & Marta Zorzini, 2015. "Supply chain resilience: definition, review and theoretical foundations for further study," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5592-5623, September.
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