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Creating all-win by blockchain technology in supply chains: Impacts of agents’ risk attitudes towards cryptocurrency

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  • Tsan-Ming Choi

Abstract

Today, blockchain technology and its cryptocurrency function are widely proposed as a tool for supply chain finance and some companies already accept cryptocurrency in business transactions. However, supply chain agents may possess different risk attitudes towards the use of cryptocurrency. In this paper, we build stylised analytical three-echelon supply chain models to examine this issue. To be specific, we consider the case in which supply chain agents can be risk neutral, risk averse or risk prone towards the volatile value of cryptocurrency. We model these risk attitudes by using the mean-risk theory. In the main models, comparing the benefits of supply chain agents as well as consumers under the cases with and without blockchain and cryptocurrency, we analytically reveal the impacts brought by risk attitudes of supply chain agents in different echelons. We find the conditions under which implementing blockchain with cryptocurrency achieves an all-win situation for all supply chain agents and consumers. Critical factors which affect the adoption of blockchain with cryptocurrency in supply chains are further investigated. In the extended models, we consider two cases: (i) The case in which “not using blockchain with cryptocurrency” has an impact on consumer utility; and (ii) there is a chain-to-chain competition. We uncover that the main conclusion remains valid and new insights are also derived.

Suggested Citation

  • Tsan-Ming Choi, 2021. "Creating all-win by blockchain technology in supply chains: Impacts of agents’ risk attitudes towards cryptocurrency," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(11), pages 2580-2595, November.
    • Handle: RePEc:taf:tjorxx:v:72:y:2021:i:11:p:2580-2595
    DOI: 10.1080/01605682.2020.1800419
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    Citations

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    Cited by:

    1. Dong, Zhongpeng & Fan, Zhi-Ping & Wang, Ningning, 2023. "An analysis of pricing strategy for bike-sharing services: The role of the inconvenience cost," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    2. Tiwari, Sunil & Sharma, Pankaj & Choi, Tsan-Ming & Lim, Andrew, 2023. "Blockchain and third-party logistics for global supply chain operations: Stakeholders’ perspectives and decision roadmap," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    3. Gupta, Shivam & Modgil, Sachin & Choi, Tsan-Ming & Kumar, Ajay & Antony, Jiju, 2023. "Influences of artificial intelligence and blockchain technology on financial resilience of supply chains," International Journal of Production Economics, Elsevier, vol. 261(C).
    4. Patel, Ritesh & Migliavacca, Milena & Oriani, Marco E., 2022. "Blockchain in banking and finance: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 62(C).
    5. Mubashir Hayat & Herwig Winkler, 2022. "An Analytic Hierarchy Process for Selection of Blockchain-Based Platform for Product Lifecycle Management," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    6. Jungwon Seo & Deokyoon Ko & Suntae Kim & Vijayan Sugumaran & Sooyong Park, 2022. "Reminisce: Blockchain Private Key Generation and Recovery Using Distinctive Pictures-Based Personal Memory," Mathematics, MDPI, vol. 10(12), pages 1-21, June.
    7. 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).
    8. Ding, Shusheng & Cui, Tianxiang & Wu, Xiangling & Du, Min, 2022. "Supply chain management based on volatility clustering: The effect of CBDC volatility," Research in International Business and Finance, Elsevier, vol. 62(C).
    9. Yu Gong & Yun Zhang & Mohammed Alharithi, 2022. "Supply Chain Finance and Blockchain in Operations Management: A Literature Review," Sustainability, MDPI, vol. 14(20), pages 1-21, October.

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