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Value analysis with blockchain-based information transparency system to eliminate information distortion

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  • Zhou, Yong-wu
  • Fu, Yu-shen
  • Wu, Xiaoli

Abstract

Information distortion is common in supply chains, especially demand information distortion. An easily-thought way of eliminating information distortion is information sharing. Although there exist many information sharing mechanisms that can coordinate the supply chains, they are not easy to implement due to their rigid implementation conditions. Consequently, many upstream manufacturers in reality commonly buy data from downstream retailers to eliminate demand information distortion, or may build a blockchain-based information transparency system (BITS), which is an alternative way proposed in this paper. The main purpose of this paper is to investigate how the two alternative ways perform in eliminating demand information distortion within supply chains. In specific, we study a two-echelon supply chain consisting of one manufacturer and one retailer under three scenarios: benchmark scenario with demand distortion, demand distortion elimination through data buying and through constructing BITS. Our findings are the following (Babich and Hilary, 2020): Eliminating demand distortion by BITS can always bring the manufacturer additional value, but a higher information transparency of BITS is not always better to the manufacturer, and the manufacturer chooses a fully transparent BITS to eliminate demand distortion only when the demand distortion is relatively large (Carley and Lin, 1997); The data purchase way of eliminating demand distortion can bring additional value to the manufacturer only when the data-buying cost is not very large (Chen and Huang, 2007); As compared to the data-buying scenario to eliminate demand distortion, the BITS construction scenario can generate more additional values for the manufacturer if the demand volatility is relatively small, or when the cost coefficient of building BITS is relatively small (CachonGérard and Fisher, 2000); If the retailer bears the BITS construction cost, the retailer prefers to proactively share the BITS construction cost rather than passively bear it completely.

Suggested Citation

  • Zhou, Yong-wu & Fu, Yu-shen & Wu, Xiaoli, 2023. "Value analysis with blockchain-based information transparency system to eliminate information distortion," International Journal of Production Economics, Elsevier, vol. 265(C).
    • Handle: RePEc:eee:proeco:v:265:y:2023:i:c:s0925527323002402
    DOI: 10.1016/j.ijpe.2023.109008
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    References listed on IDEAS

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    1. Albert Y. Ha & Shilu Tong & Hongtao Zhang, 2011. "Sharing Demand Information in Competing Supply Chains with Production Diseconomies," Management Science, INFORMS, vol. 57(3), pages 566-581, March.
    2. Choi, Tsan-Ming, 2019. "Blockchain-technology-supported platforms for diamond authentication and certification in luxury supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 17-29.
    3. 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.
    4. Kamran Moinzadeh, 2002. "A Multi-Echelon Inventory System with Information Exchange," Management Science, INFORMS, vol. 48(3), pages 414-426, March.
    5. Kathleen M. Carley & Zhiang Lin, 1997. "A Theoretical Study of Organizational Performance Under Information Distortion," Management Science, INFORMS, vol. 43(7), pages 976-997, July.
    6. 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.
    7. Choi, Tsan-Ming & Feng, Lipan & Li, Rong, 2020. "Information disclosure structure in supply chains with rental service platforms in the blockchain technology era," International Journal of Production Economics, Elsevier, vol. 221(C).
    8. Wang, Yingli & Singgih, Meita & Wang, Jingyao & Rit, Mihaela, 2019. "Making sense of blockchain technology: How will it transform supply chains?," International Journal of Production Economics, Elsevier, vol. 211(C), pages 221-236.
    9. Kshetri, Nir, 2018. "1 Blockchain’s roles in meeting key supply chain management objectives," International Journal of Information Management, Elsevier, vol. 39(C), pages 80-89.
    10. J. Edward Russo & Margaret G. Meloy & T. Jeffrey Wilks, 2000. "Predecisional Distortion of Information by Auditors and Salespersons," Management Science, INFORMS, vol. 46(1), pages 13-27, January.
    11. Robert L. Bray & Haim Mendelson, 2012. "Information Transmission and the Bullwhip Effect: An Empirical Investigation," Management Science, INFORMS, vol. 58(5), pages 860-875, May.
    12. Song Huang & Xu Guan & Ying†Ju Chen, 2018. "Retailer Information Sharing with Supplier Encroachment," Production and Operations Management, Production and Operations Management Society, vol. 27(6), pages 1133-1147, June.
    13. Albert Y. Ha & Huajiang Luo & Weixin Shang, 2022. "Supplier Encroachment, Information Sharing, and Channel Structure in Online Retail Platforms," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1235-1251, March.
    14. 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.
    15. Choi, Tsan-Ming & Luo, Suyuan, 2019. "Data quality challenges for sustainable fashion supply chain operations in emerging markets: Roles of blockchain, government sponsors and environment taxes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 139-152.
    16. Weixin Shang & Albert Y. Ha & Shilu Tong, 2016. "Information Sharing in a Supply Chain with a Common Retailer," Management Science, INFORMS, vol. 62(1), pages 245-263, January.
    17. Albert Y. Ha & Shilu Tong, 2008. "Contracting and Information Sharing Under Supply Chain Competition," Management Science, INFORMS, vol. 54(4), pages 701-715, April.
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