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Supply chain coordination with two-part tariffs under information asymmetry

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  • Chongqi Wu
  • Kunpeng Li
  • Tianqin Shi

Abstract

Supply chain coordination literature indicates that two-part tariff contracts cannot coordinate a supply chain with a supplier and a retailer under information asymmetry, but can coordinate the channel under full information, while leaving the retailer zero profit. Motivated by the practice of Costco Business Centres, we incorporate customer heterogeneity, near-saturated retail market and asymmetric information into a stylised model. The retailer has the knowledge of customer heterogeneity while the supplier does not. The supplier, on the other hand, designs a menu of two-part tariffs for the retailer to choose from. We have found that two-part tariffs can coordinate the supply chain under asymmetric information, while leaving the retailer a positive profit. In addition, a one-size-fits-all two-part tariff can coordinate the supply chain at equilibrium, i.e. there is no need for the supplier to design different two-part tariffs for the retailer who may possess different types of information.

Suggested Citation

  • Chongqi Wu & Kunpeng Li & Tianqin Shi, 2017. "Supply chain coordination with two-part tariffs under information asymmetry," International Journal of Production Research, Taylor & Francis Journals, vol. 55(9), pages 2575-2589, May.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:9:p:2575-2589
    DOI: 10.1080/00207543.2016.1240383
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    Cited by:

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    2. Zhang, Shichen & Zhang, Jianxiong, 2018. "Contract preference with stochastic cost learning in a two-period supply chain under asymmetric information," International Journal of Production Economics, Elsevier, vol. 196(C), pages 226-247.
    3. Xin Yun & Hao Liu & Yi Li & Kin Keung Lai, 2023. "Contract design under asymmetric demand information for sustainable supply chain practices," Annals of Operations Research, Springer, vol. 324(1), pages 1429-1459, May.
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    5. Matsui, Kenji, 2019. "A supply chain member should set its margin later if another member's cost is highly uncertain," European Journal of Operational Research, Elsevier, vol. 275(1), pages 127-138.
    6. Lin, Jinchai & Fan, Ruguo & Tan, Xianchun & Zhu, Kaiwei, 2021. "Dynamic decision and coordination in a low-carbon supply chain considering the retailer's social preference," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    7. Li Zhou & Chunqiao Tan & Huimin Zhao, 2022. "Information Disclosure Decision for Tourism O2O Supply Chain Based on Blockchain Technology," Mathematics, MDPI, vol. 10(12), pages 1-21, June.
    8. Ying Gao & Jianteng Xu & Huixin Xu, 2021. "A Flexible Cap-and-Trade Policy and Limited Demand Information Effects on a Sustainable Supply Chain," Sustainability, MDPI, vol. 13(19), pages 1-23, September.
    9. Guangmei Cao & Yuesen Wang & Honghu Gao & Hao Liu & Haibin Liu & Zhigang Song & Yuqing Fan, 2023. "Coordination Decision-Making for Intelligent Transformation of Logistics Services under Capital Constraint," Sustainability, MDPI, vol. 15(6), pages 1-25, March.
    10. Yanyan Zheng & Jin Zhang & Mengyuan Wang & Peng Liu & Tong Shu, 2023. "Low-Carbon Manufacturing or Not? Equilibrium Decisions for Capital-Constrained News Vendors with Subsidy and Carbon Tax," Sustainability, MDPI, vol. 15(15), pages 1-23, July.
    11. Kaya, Onur & Teymourifar, Aydin & Ozturk, Gurkan, 2020. "Analysis of different public policies through simulation to increase total social utility in a healthcare system," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
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