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E‐retailer's dynamic inventory and pricing policy with price‐protection services

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  • Ling Zhao
  • Anquan Zou
  • Pin Zhou

Abstract

This paper investigates a coordinated inventory and pricing problem with the e‐retailer's price‐protection service over multiple periods. By solving a stochastic dynamic programming in the two‐dimensional state space, the optimal policy is fully characterized. Specifically, the inventory policy is a previous price‐dependent base‐stock policy. The pricing policy: as the previous price increases, the optimal current price stays unchanged first, then increases, and finally decreases. Numerical results indicate that with the impact of the price‐protection service increasing, the base‐stock level and current price rise under some conditions. Moreover, the price‐protection service benefits the e‐retailer when its impact is large enough.

Suggested Citation

  • Ling Zhao & Anquan Zou & Pin Zhou, 2023. "E‐retailer's dynamic inventory and pricing policy with price‐protection services," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 490-501, January.
    • Handle: RePEc:wly:mgtdec:v:44:y:2023:i:1:p:490-501
    DOI: 10.1002/mde.3695
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    References listed on IDEAS

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    1. Awi Federgruen & Aliza Heching, 1999. "Combined Pricing and Inventory Control Under Uncertainty," Operations Research, INFORMS, vol. 47(3), pages 454-475, June.
    2. Nan Yang & Renyu Zhang, 2014. "Dynamic Pricing and Inventory Management Under Inventory-Dependent Demand," Operations Research, INFORMS, vol. 62(5), pages 1077-1094, October.
    3. Jadidi, Omid & Taghipour, Sharareh & Zolfaghari, Saeed, 2016. "A two-price policy for a newsvendor product supply chain with time and price sensitive demand," European Journal of Operational Research, Elsevier, vol. 253(1), pages 132-143.
    4. Chao Xu & Yongrui Duan & Jiazhen Huo, 2020. "Joint pricing and inventory management under servitisation," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(6), pages 893-909, June.
    5. Yuri Levin & Jeff McGill & Mikhail Nediak, 2007. "Price Guarantees in Dynamic Pricing and Revenue Management," Operations Research, INFORMS, vol. 55(1), pages 75-97, February.
    6. Peng Hu & Ye Lu & Miao Song, 2019. "Joint Pricing and Inventory Control with Fixed and Convex/Concave Variable Production Costs," Production and Operations Management, Production and Operations Management Society, vol. 28(4), pages 847-877, April.
    7. Cohen-Vernik, Dinah & Pazgal, Amit, 2017. "Price Adjustment Policy with Partial Refunds," Journal of Retailing, Elsevier, vol. 93(4), pages 507-526.
    8. Qing Li & Shaohui Zheng, 2006. "Joint Inventory Replenishment and Pricing Control for Systems with Uncertain Yield and Demand," Operations Research, INFORMS, vol. 54(4), pages 696-705, August.
    9. Verma, Swati & Guha, Abhijit & Biswas, Abhijit & Grewal, Dhruv, 2019. "Are Low Price and Price Matching Guarantees Equivalent? The Effects of Different Price Guarantees on Consumers’ Evaluations," Journal of Retailing, Elsevier, vol. 95(3), pages 99-108.
    10. Linh, Cao To & Hong, Yushin, 2009. "Channel coordination through a revenue sharing contract in a two-period newsboy problem," European Journal of Operational Research, Elsevier, vol. 198(3), pages 822-829, November.
    11. Zhu, Stuart X., 2012. "Joint pricing and inventory replenishment decisions with returns and expediting," European Journal of Operational Research, Elsevier, vol. 216(1), pages 105-112.
    12. Khouja, Moutaz & Liu, Xin, 2021. "A price adjustment policy for maximizing revenue and countering strategic consumer behavior," International Journal of Production Economics, Elsevier, vol. 236(C).
    13. Wang, Qiang & Zhao, Nenggui & Wu, Jie & Zhu, Qingyuan, 2021. "Optimal pricing and inventory policies with reference price effect and loss-Averse customers," Omega, Elsevier, vol. 99(C).
    14. Weihua Zhou & Chung‐Yee Lee & David Wu, 2011. "Optimal control of a capacitated inventory system with multiple demand classes," Naval Research Logistics (NRL), John Wiley & Sons, vol. 58(1), pages 43-58, February.
    15. Qi Feng & Sirong Luo & J. George Shanthikumar, 2020. "Integrating Dynamic Pricing with Inventory Decisions Under Lost Sales," Management Science, INFORMS, vol. 66(5), pages 2232-2247, May.
    16. Xin Chen & Zhan Pang & Limeng Pan, 2014. "Coordinating Inventory Control and Pricing Strategies for Perishable Products," Operations Research, INFORMS, vol. 62(2), pages 284-300, April.
    17. Yi Yang & Youhua (Frank) Chen & Yun Zhou, 2014. "Coordinating Inventory Control and Pricing Strategies Under Batch Ordering," Operations Research, INFORMS, vol. 62(1), pages 25-37, February.
    18. Xin Chen & Peng Hu & Stephen Shum & Yuhan Zhang, 2016. "Dynamic Stochastic Inventory Management with Reference Price Effects," Operations Research, INFORMS, vol. 64(6), pages 1529-1536, December.
    19. Zhang, Zelin & Lim, Weishi & Cui, Haitao & Wang, Ze, 2021. "Partial refunds as a strategic price commitment device in advance selling in a service industry," European Journal of Operational Research, Elsevier, vol. 291(3), pages 1062-1074.
    20. Hau L. Lee & V. Padmanabhan & Terry A. Taylor & Seungjin Whang, 2000. "Price Protection in the Personal Computer Industry," Management Science, INFORMS, vol. 46(4), pages 467-482, April.
    21. Peng, Weicai & Tian, Zhongjun & Wang, Yefeng, 2020. "Price guarantee for advance selling in the presence of preorder-dependent social learning," International Journal of Production Economics, Elsevier, vol. 219(C), pages 115-122.
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