IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v228y2020ics0925527320302188.html
   My bibliography  Save this article

Blockchain and smart contracts in supply chain management: A game theoretic model

Author

Listed:
  • De Giovanni, Pietro

Abstract

This paper proposes a supply chain game that is composed of two firms, one supplier and one retailer. The supplier sells goods to the retailer and sets the service strategy efforts. The retailer determines the optimal quantity to purchase and the selling price. The supply chain can be managed through either a traditional online platform or a blockchain. In the former, firms face business risks due to delivery and service and also pay high transaction costs. In the latter, they work on a blockchain platform, remove all risks over the supply chain, and save the transaction costs. However, the blockchain requires initial implementation investments as well as variable costs. Furthermore, the firms gain in terms of visibility, transparency, and security, which are summarized in tokens. We identify the conditions and the stochastic cases in which the blockchain is not worth implementing. Then, we investigate the suitability of a smart wholesale price contract and a smart revenue sharing contract to better coordinate firms’ relationships and negotiations. We highlight all cases in which the use of smart contracts makes blockchain applications more operationally convenient and economically appealing.

Suggested Citation

  • De Giovanni, Pietro, 2020. "Blockchain and smart contracts in supply chain management: A game theoretic model," International Journal of Production Economics, Elsevier, vol. 228(C).
    • Handle: RePEc:eee:proeco:v:228:y:2020:i:c:s0925527320302188
    DOI: 10.1016/j.ijpe.2020.107855
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527320302188
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2020.107855?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. Pietro Giovanni & Georges Zaccour, 2019. "A selective survey of game-theoretic models of closed-loop supply chains," 4OR, Springer, vol. 17(1), pages 1-44, March.
    2. Christian Catalini & Joshua S. Gans, 2016. "Some Simple Economics of the Blockchain," NBER Working Papers 22952, National Bureau of Economic Research, Inc.
    3. Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2018. "Ripple effect in the supply chain: an analysis and recent literature," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 414-430, January.
    4. Sara Saberi & Mahtab Kouhizadeh & Joseph Sarkis & Lejia Shen, 2019. "Blockchain technology and its relationships to sustainable supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2117-2135, April.
    5. De Giovanni, Pietro & Zaccour, Georges, 2019. "Optimal quality improvements and pricing strategies with active and passive product returns," Omega, Elsevier, vol. 88(C), pages 248-262.
    6. Williamson, Oliver E, 1979. "Transaction-Cost Economics: The Governance of Contractural Relations," Journal of Law and Economics, University of Chicago Press, vol. 22(2), pages 233-261, October.
    7. 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.
    8. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov, 2019. "The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics," International Journal of Production Research, Taylor & Francis Journals, vol. 57(3), pages 829-846, February.
    9. Daniel Kiel & Julian M. Müller & Christian Arnold & Kai-Ingo Voigt, 2017. "Sustainable Industrial Value Creation: Benefits And Challenges Of Industry 4.0," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(08), pages 1-34, December.
    10. Volodymyr Babich & Gilles Hilary, 2019. "Distributed Ledgers and Operations: What Operations Management Researchers Should Know about Blockchain Technology," Post-Print hal-02005158, HAL.
    11. Pietro De Giovanni, 2016. "Coordination in a distribution channel with decisions on the nature of incentives and share-dependency on pricing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(8), pages 1034-1049, August.
    12. Yongxin Liao & Fernando Deschamps & Eduardo de Freitas Rocha Loures & Luiz Felipe Pierin Ramos, 2017. "Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal," International Journal of Production Research, Taylor & Francis Journals, vol. 55(12), pages 3609-3629, June.
    13. Genc, Talat S. & De Giovanni, Pietro, 2020. "Closed-loop supply chain games with innovation-led lean programs and sustainability," International Journal of Production Economics, Elsevier, vol. 219(C), pages 440-456.
    14. Fatemeh Firouzi & Mohamad Y. Jaber & Enzo Baglieri, 2016. "Trust in supply forecast information sharing," International Journal of Production Research, Taylor & Francis Journals, vol. 54(5), pages 1322-1333, March.
    15. Frank, Alejandro Germán & Dalenogare, Lucas Santos & Ayala, Néstor Fabián, 2019. "Industry 4.0 technologies: Implementation patterns in manufacturing companies," International Journal of Production Economics, Elsevier, vol. 210(C), pages 15-26.
    16. Hackius, Niels & Petersen, Moritz, 2017. "Blockchain in logistics and supply chain: Trick or treat?," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment. Proceedings of the Hamburg Inter, volume 23, pages 3-18, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    17. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov & Frank Werner & Marina Ivanova, 2016. "A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 54(2), pages 386-402, January.
    18. Dmitry Ivanov & Alexander Tsipoulanidis & Jörn Schönberger, 2019. "Global Supply Chain and Operations Management," Springer Texts in Business and Economics, Springer, edition 2, number 978-3-319-94313-8, April.
    19. Morkunas, Vida J. & Paschen, Jeannette & Boon, Edward, 2019. "How blockchain technologies impact your business model," Business Horizons, Elsevier, vol. 62(3), pages 295-306.
    Full references (including those not matched with items on IDEAS)

    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. Sundarakani, Balan & Ajaykumar, Aneesh & Gunasekaran, Angappa, 2021. "Big data driven supply chain design and applications for blockchain: An action research using case study approach," Omega, Elsevier, vol. 102(C).
    2. Bai, Chunguang & Dallasega, Patrick & Orzes, Guido & Sarkis, Joseph, 2020. "Industry 4.0 technologies assessment: A sustainability perspective," International Journal of Production Economics, Elsevier, vol. 229(C).
    3. 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).
    4. De Giovanni, Pietro & Cariola, Alfio, 2021. "Process innovation through industry 4.0 technologies, lean practices and green supply chains," Research in Transportation Economics, Elsevier, vol. 90(C).
    5. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Bryde, David J. & Giannakis, Mihalis & Foropon, Cyril & Roubaud, David & Hazen, Benjamin T., 2020. "Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations," International Journal of Production Economics, Elsevier, vol. 226(C).
    6. Zhang, Jian & Zhang, Xuanjian & Liu, Wei & Ji, Ming & Mishra, Arunodaya Raj, 2022. "Critical success factors of blockchain technology to implement the sustainable supply chain using an extended decision-making approach," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    7. Leng, Jiewu & Ruan, Guolei & Jiang, Pingyu & Xu, Kailin & Liu, Qiang & Zhou, Xueliang & Liu, Chao, 2020. "Blockchain-empowered sustainable manufacturing and product lifecycle management in industry 4.0: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    8. Omar Boutkhoum & Mohamed Hanine & Mohamed Nabil & Fatima El Barakaz & Ernesto Lee & Furqan Rustam & Imran Ashraf, 2021. "Analysis and Evaluation of Barriers Influencing Blockchain Implementation in Moroccan Sustainable Supply Chain Management: An Integrated IFAHP-DEMATEL Framework," Mathematics, MDPI, vol. 9(14), pages 1-23, July.
    9. Dmitry Ivanov, 2022. "Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1411-1431, December.
    10. Sachin Kumar Mangla & Yiğit Kazançoğlu & Abdullah Yıldızbaşı & Cihat Öztürk & Ahmet Çalık, 2022. "A conceptual framework for blockchain‐based sustainable supply chain and evaluating implementation barriers: A case of the tea supply chain," Business Strategy and the Environment, Wiley Blackwell, vol. 31(8), pages 3693-3716, December.
    11. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(C).
    12. 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.
    13. Ma, Deqing & Hu, Jinsong, 2022. "The optimal combination between blockchain and sales format in an internet platform-based closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 254(C).
    14. Bartoloni, Sara & Calò, Ernesto & Marinelli, Luca & Pascucci, Federica & Dezi, Luca & Carayannis, Elias & Revel, Gian Marco & Gregori, Gian Luca, 2022. "Towards designing society 5.0 solutions: The new Quintuple Helix - Design Thinking approach to technology," Technovation, Elsevier, vol. 113(C).
    15. Pietro De Giovanni, 2019. "Digital Supply Chain through Dynamic Inventory and Smart Contracts," Mathematics, MDPI, vol. 7(12), pages 1-25, December.
    16. De Giovanni, Pietro, 2021. "Smart Supply Chains with vendor managed inventory, coordination, and environmental performance," European Journal of Operational Research, Elsevier, vol. 292(2), pages 515-531.
    17. Manu Sharma & Sudhanshu Joshi & Sunil Luthra & Anil Kumar, 2022. "Managing disruptions and risks amidst COVID-19 outbreaks: role of blockchain technology in developing resilient food supply chains," Operations Management Research, Springer, vol. 15(1), pages 268-281, June.
    18. Antonello Cammarano & Vincenzo Varriale & Francesca Michelino & Mauro Caputo, 2023. "Blockchain as enabling factor for implementing RFID and IoT technologies in VMI: a simulation on the Parmigiano Reggiano supply chain," Operations Management Research, Springer, vol. 16(2), pages 726-754, June.
    19. 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.
    20. Pietro De Giovanni & Georges Zaccour, 2022. "A selective survey of game-theoretic models of closed-loop supply chains," Annals of Operations Research, Springer, vol. 314(1), pages 77-116, July.

    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:eee:proeco:v:228:y:2020:i:c:s0925527320302188. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.