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Blockchain and other Distributed Ledger Technologies in Operations

Author

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  • Volodymyr Babich
  • Gilles Hilary

    (GU - Georgetown University [Washington])

Abstract

Blockchain is a form of distributed ledger technology (DLT) that has grown in prominence, although its full potential and possible downsides are not yet fully understood, especially with respect to Operations Management (OM). This manuscript contributes to filling in this gap. We identify three research themes in applying Blockchain technology to OM, illustrated through several applications to OM problems. Elsewhere, in a companion article, (Babich and Hilary (2018)), we provide a conceptual framework for the role of Blockchain and other DLT in OM, along with specific examples of research questions, and we demonstrate how research in economics can inform research in OM on Blockchain applications. Finally, we discuss possible future uses for the technology.

Suggested Citation

  • Volodymyr Babich & Gilles Hilary, 2019. "Blockchain and other Distributed Ledger Technologies in Operations," Post-Print hal-02005156, HAL.
    • Handle: RePEc:hal:journl:hal-02005156
    Note: View the original document on HAL open archive server: https://hal.science/hal-02005156
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    References listed on IDEAS

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    1. Mahesh Nagarajan & Yehuda Bassok, 2008. "A Bargaining Framework in Supply Chains: The Assembly Problem," Management Science, INFORMS, vol. 54(8), pages 1482-1496, August.
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    5. Volodymyr Babich & Panos Kouvelis, 2018. "Introduction to the Special Issue on Research at the Interface of Finance, Operations, and Risk Management (iFORM): Recent Contributions and Future Directions," Manufacturing & Service Operations Management, INFORMS, vol. 20(1), pages 1-18, February.
    6. Volodymyr Babich, 2006. "Vulnerable options in supply chains: Effects of supplier competition," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(7), pages 656-673, October.
    7. Terry A. Taylor & Erica L. Plambeck, 2007. "Simple Relational Contracts to Motivate Capacity Investment: Price Only vs. Price and Quantity," Manufacturing & Service Operations Management, INFORMS, vol. 9(1), pages 94-113, January.
    8. Helper, Susan, 1991. "Strategy and Irreversibility in Supplier Relations: The Case of the U.S. Automobile Industry," Business History Review, Cambridge University Press, vol. 65(4), pages 781-824, January.
    9. Brian Tomlin, 2003. "Capacity Investments in Supply Chains: Sharing the Gain Rather Than Sharing the Pain," Manufacturing & Service Operations Management, INFORMS, vol. 5(4), pages 317-333, November.
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    Cited by:

    1. 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.
    2. Haji Suleman Ali & Feiyan Jia & Zhiyuan Lou & Jingui Xie, 2023. "Effect of blockchain technology initiatives on firms’ market value," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-35, December.
    3. Morris A. Cohen & Hau L. Lee, 2020. "Designing the Right Global Supply Chain Network," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 15-24, January.
    4. Choi, Tsan-Ming & Wen, Xin & Sun, Xuting & Chung, Sai-Ho, 2019. "The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 178-191.
    5. Yue Dai & Tianjun Feng & Christopher S. Tang & Xiaole Wu & Fuqiang Zhang, 2020. "Twenty Years in the Making: The Evolution of the Journal of Manufacturing & Service Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 1-10, January.
    6. Benzidia, Smaïl & Makaoui, Naouel & Subramanian, Nachiappan, 2021. "Impact of ambidexterity of blockchain technology and social factors on new product development: A supply chain and Industry 4.0 perspective," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    7. Chang, Jasmine (Aichih) & Katehakis, Michael N. & Shi, Jim (Junmin) & Yan, Zhipeng, 2021. "Blockchain-empowered Newsvendor optimization," International Journal of Production Economics, Elsevier, vol. 238(C).

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    More about this item

    Keywords

    Visibility; Information aggregation; Validation; Resiliency; Smart contracts; Digital Assets;
    All these keywords.

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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