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Supply Chain Coordination in Case of Asymmetric Information

In: Supply Chain Coordination in Case of Asymmetric Information

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  • Guido Voigt

    (Otto-von-Guericke University Magdeburg)

Abstract

The following chapter elaborates the impact of asymmetric information in a supply chain context and shows that information sharing can enhance supply chain performance if some level of trust and trustworthiness can be established. Section 2.1 gives a brief overview over related research areas while introducing basic definitions, assumptions and concepts. Section 2.2 discusses the impact of asymmetric information in a supply chain context while showing that specific contract structures can be used to align the incentives in the supply chain. Since these contract structures are not efficient, Sect. 2.3 discusses under which circumstances regarding trust and trustworthiness information sharing can lead to supply chain optimal outcomes. Finally, Sect. 2.4 gives a comprehensive review of supply chain models in which contracts are used for coordinating actions in supply chain management.

Suggested Citation

  • Guido Voigt, 2011. "Supply Chain Coordination in Case of Asymmetric Information," Lecture Notes in Economics and Mathematical Systems, in: Supply Chain Coordination in Case of Asymmetric Information, chapter 0, pages 5-44, Springer.
    • Handle: RePEc:spr:lnechp:978-3-642-20132-5_2
    DOI: 10.1007/978-3-642-20132-5_2
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    Citations

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    Cited by:

    1. Abdolkarim Sadrieh & Guido Voigt, 2017. "Strategic risk in supply chain contract design," Journal of Business Economics, Springer, vol. 87(1), pages 125-153, January.
    2. Kerkkamp, R.B.O. & van den Heuvel, W. & Wagelmans, A.P.M., 2018. "Two-echelon supply chain coordination under information asymmetry with multiple types," Omega, Elsevier, vol. 76(C), pages 137-159.
    3. 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.
    4. Emad Sane-Zerang & Jafar Razmi & Ata Allah Taleizadeh, 2020. "Coordination in a closed-loop supply chain under asymmetric and symmetric information with sales effort-dependent demand," Journal of Business Economics, Springer, vol. 90(2), pages 303-334, March.
    5. Dobos, Imre & Gobsch, Barbara & Pakhomova, Nadezhda & Pishchulov, Grigory & Richter, Knut, 2011. "A vendor-purchaser economic lot size problem with remanufacturing and deposit," Discussion Papers 304, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    6. Christian Scheller & Kerstin Schmidt & Thomas Stefan Spengler, 2021. "Decentralized master production and recycling scheduling of lithium-ion batteries: a techno-economic optimization model," Journal of Business Economics, Springer, vol. 91(2), pages 253-282, March.
    7. Chakraborty, Abhishek & Chatterjee, Ashis K., 2016. "A surcharge pricing scheme for supply chain coordination under JIT environment," European Journal of Operational Research, Elsevier, vol. 253(1), pages 14-24.
    8. Abhishek Chakraborty, 2021. "A surcharge pricing policy for supply chain coordination under the just-in-time (JIT) environment in the presence of backordering," OPSEARCH, Springer;Operational Research Society of India, vol. 58(4), pages 1049-1076, December.
    9. Xia, Jing & Niu, Wenju, 2021. "Carbon-reducing contract design for a supply chain with environmental responsibility under asymmetric information," Omega, Elsevier, vol. 102(C).
    10. 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.
    11. Egri, Péter & Kis, Tamás & Kovács, András & Váncza, József, 2014. "An inverse economic lot-sizing approach to eliciting supplier cost parameters," International Journal of Production Economics, Elsevier, vol. 149(C), pages 80-88.

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