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Information sharing through digitalisation in decentralised supply chains

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  • Dimitris Zissis

    (University of East Anglia)

Abstract

This study investigates the impact of private information on decision making process and how emerging technologies can facilitate information sharing and reduce misinformation in decentralised settings. Focusing on business environments, we examine if information sharing between distinct partners can be a mutually beneficial option. In principle, information affects the preferences and the actions of decision makers and usually contributes to inefficiencies for the entire system. A supply chain with two rational firms is considered; the firms have conflicting objectives and possess information that cannot be verified. Real-time communication through a cloud platform is allowed, before the firms finalise their strategies. During the communication phase, both firms are free to report whatever information optimises their individual objectives, even fake. Misinformation seems a plausible option, especially in competitive environments, since the firms may take advantages from such behaviour. We demonstrate that sharing the actual information can be beneficial for both, under the implementation of an appropriate mechanism that considers the welfare of the entire chain. Despite the individualistic behaviour of independent decision makers, it is doable to eliminate entirely information asymmetry and misinformation. This happens by including sufficient incentives on a mechanism that induce firms to reveal their information, because it is in their self-interest to do so. The value of information and the expected benefits of the voluntary information sharing are calculated, indicating the potential improvement.

Suggested Citation

  • Dimitris Zissis, 2023. "Information sharing through digitalisation in decentralised supply chains," Annals of Operations Research, Springer, vol. 327(2), pages 763-778, August.
  • Handle: RePEc:spr:annopr:v:327:y:2023:i:2:d:10.1007_s10479-022-05105-4
    DOI: 10.1007/s10479-022-05105-4
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    as
    1. Shneyerov, Artyom & Wong, Adam Chi Leung, 2010. "Bilateral matching and bargaining with private information," Games and Economic Behavior, Elsevier, vol. 68(2), pages 748-762, March.
    2. Karabati, Selcuk & Sayin, Serpil, 2008. "Single-supplier/multiple-buyer supply chain coordination: Incorporating buyers' expectations under vertical information sharing," European Journal of Operational Research, Elsevier, vol. 187(3), pages 746-764, June.
    3. 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.
    4. 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.
    5. Dimitris Zissis & George Ioannou & Apostolos Burnetas, 2020. "Coordinating Lot Sizing Decisions Under Bilateral Information Asymmetry," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 371-387, February.
    6. Zissis, Dimitris & Ioannou, George & Burnetas, Apostolos, 2015. "Supply chain coordination under discrete information asymmetries and quantity discounts," Omega, Elsevier, vol. 53(C), pages 21-29.
    7. Mohammadali Vosooghidizaji & Atour Taghipour & Béatrice Canel-Depitre, 2020. "Supply chain coordination under information asymmetry: a review," International Journal of Production Research, Taylor & Francis Journals, vol. 58(6), pages 1805-1834, March.
    8. Silbermayr, Lena & Minner, Stefan, 2016. "Dual sourcing under disruption risk and cost improvement through learning," European Journal of Operational Research, Elsevier, vol. 250(1), pages 226-238.
    9. 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.
    10. Sucky, Eric, 2006. "A bargaining model with asymmetric information for a single supplier-single buyer problem," European Journal of Operational Research, Elsevier, vol. 171(2), pages 516-535, June.
    11. Gérard P. Cachon & Marshall Fisher, 2000. "Supply Chain Inventory Management and the Value of Shared Information," Management Science, INFORMS, vol. 46(8), pages 1032-1048, August.
    12. William S. Lovejoy, 2006. "Optimal Mechanisms with Finite Agent Types," Management Science, INFORMS, vol. 52(5), pages 788-803, May.
    13. Lawrence V. Snyder & Zümbül Atan & Peng Peng & Ying Rong & Amanda J. Schmitt & Burcu Sinsoysal, 2016. "OR/MS models for supply chain disruptions: a review," IISE Transactions, Taylor & Francis Journals, vol. 48(2), pages 89-109, February.
    14. Fiala, P., 2005. "Information sharing in supply chains," Omega, Elsevier, vol. 33(5), pages 419-423, October.
    15. Ashutosh Sheel & Vishnu Nath, 2019. "Effect of blockchain technology adoption on supply chain adaptability, agility, alignment and performance," Management Research Review, Emerald Group Publishing Limited, vol. 42(12), pages 1353-1374, August.
    16. Naoum Tsolakis & Dimitris Zissis & Spiros Papaefthimiou & Nikolaos Korfiatis, 2022. "Towards AI driven environmental sustainability: an application of automated logistics in container port terminals," International Journal of Production Research, Taylor & Francis Journals, vol. 60(14), pages 4508-4528, July.
    17. Panos Constantinides & Ola Henfridsson & Geoffrey G. Parker, 2018. "Introduction—Platforms and Infrastructures in the Digital Age," Information Systems Research, INFORMS, vol. 29(2), pages 381-400, June.
    18. Zhou, Jianheng & Zhao, Ruijuan & Wang, Weishen, 2019. "Pricing decision of a manufacturer in a dual-channel supply chain with asymmetric information," European Journal of Operational Research, Elsevier, vol. 278(3), pages 809-820.
    19. Arshinder & Kanda, Arun & Deshmukh, S.G., 2008. "Supply chain coordination: Perspectives, empirical studies and research directions," International Journal of Production Economics, Elsevier, vol. 115(2), pages 316-335, October.
    20. Barbara Flynn & David Cantor & Mark Pagell & Kevin J. Dooley & Arash Azadegan, 2021. "From the Editors: Introduction to Managing Supply Chains Beyond Covid‐19 ‐ Preparing for the Next Global Mega‐Disruption," Journal of Supply Chain Management, Institute for Supply Management, vol. 57(1), pages 3-6, January.
    21. Ashutosh Sheel & Vishnu Nath, 2019. "Effect of blockchain technology adoption on supply chain adaptability, agility, alignment and performance," Management Research Review, Emerald Group Publishing Limited, vol. 42(12), pages 1353-1374, August.
    22. Albert Y. Ha, 2001. "Supplier‐buyer contracting: Asymmetric cost information and cutoff level policy for buyer participation," Naval Research Logistics (NRL), John Wiley & Sons, vol. 48(1), pages 41-64, February.
    23. Yu, Haisheng & Zeng, Amy Z. & Zhao, Lindu, 2009. "Single or dual sourcing: decision-making in the presence of supply chain disruption risks," Omega, Elsevier, vol. 37(4), pages 788-800, August.
    24. 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.
    25. Wang, Xun & Disney, Stephen M., 2016. "The bullwhip effect: Progress, trends and directions," European Journal of Operational Research, Elsevier, vol. 250(3), pages 691-701.
    26. Charles J. Corbett & Xavier de Groote, 2000. "A Supplier's Optimal Quantity Discount Policy Under Asymmetric Information," Management Science, INFORMS, vol. 46(3), pages 444-450, March.
    27. Pishchulov, Grigory & Richter, Knut, 2016. "Optimal contract design in the joint economic lot size problem with multi-dimensional asymmetric information," European Journal of Operational Research, Elsevier, vol. 253(3), pages 711-733.
    28. Gyöngyi Kovács & Ioanna Falagara Sigala, 2021. "Lessons learned from humanitarian logistics to manage supply chain disruptions," Journal of Supply Chain Management, Institute for Supply Management, vol. 57(1), pages 41-49, January.
    29. 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.
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