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The effect of risk aversion on a supply chain with postponed pricing

Author

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  • Tatyana Chernonog

    (Bar-Ilan University, Ramat-Gan, Israel)

  • Konstantin Kogan

    (Bar-Ilan University, Ramat-Gan, Israel)

Abstract

We consider a supply chain consisting of a supplier and a risk-averse retailer operating under endogenous demand in retail pricing. The demand potential is uncertain and is revealed at the beginning of the selling season when it is too late to order products. The product price, on the other hand, is not determined in advance and can be postponed until the demand is revealed. The goal is to study the effect of risk-aversion and postponed pricing on both the retailer’s decisions and the overall supply chain. We find that the risk-averse retailer does not necessarily order less than the risk-neutral one and may introduce a bias by choosing a specific demand distribution. We contrast two specific choices. One is symmetric (balanced) with respect to the mean demand potential. The other is skewed (pessimistic) with most observations expected below the mean demand potential. Our numerical results show that the binding downside risk constraint deteriorates the supply chain performance when the forecast is balanced and improves it when the forecast is pessimistic.

Suggested Citation

  • Tatyana Chernonog & Konstantin Kogan, 2014. "The effect of risk aversion on a supply chain with postponed pricing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(9), pages 1396-1411, September.
    • Handle: RePEc:pal:jorsoc:v:65:y:2014:i:9:p:1396-1411
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    Citations

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    Cited by:

    1. Avinadav, Tal & Levy, Priel, 2022. "Value of information in a mobile app supply chain under hidden or known information superiority," International Journal of Production Economics, Elsevier, vol. 248(C).
    2. Jen-Chieh Lee & Tyrone T. Lin, 2020. "Decision Analysis on Sustainable Value: Comparison of the London and Taiwan Markets for Product Integration of Family Security Services and Residential Fire Insurance," JRFM, MDPI, vol. 13(11), pages 1-15, October.
    3. Avi Herbon & Matan Shnaiderman & Tatyana Chernonog, 2018. "Postponed two-pricing and ordering opportunity for selling a single season inventoried product," Annals of Operations Research, Springer, vol. 271(2), pages 619-640, December.
    4. Wen, Xin & Choi, Tsan-Ming & Chung, Sai-Ho, 2019. "Fashion retail supply chain management: A review of operational models," International Journal of Production Economics, Elsevier, vol. 207(C), pages 34-55.
    5. Chernonog, Tatyana & Avinadav, Tal & Ben-Zvi, Tal, 2019. "How to set price and quality in a supply chain of virtual products under bi-criteria and risk consideration," International Journal of Production Economics, Elsevier, vol. 209(C), pages 156-163.
    6. Avinadav, Tal & Chernonog, Tatyana & Ben-Zvi, Tal, 2019. "The effect of information superiority on a supply chain of virtual products," International Journal of Production Economics, Elsevier, vol. 216(C), pages 384-397.
    7. Chernonog, Tatyana & Avinadav, Tal & Ben-Zvi, Tal, 2015. "Pricing and sales-effort investment under bi-criteria in a supply chain of virtual products involving risk," European Journal of Operational Research, Elsevier, vol. 246(2), pages 471-475.
    8. Avinadav, Tal & Chernonog, Tatyana & Khmelnitsky, Eugene, 2021. "Revenue-sharing between developers of virtual products and platform distributors," European Journal of Operational Research, Elsevier, vol. 290(3), pages 927-945.

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