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Warranty pricing with consumer learning

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  • Lei, Yong
  • Liu, Qian
  • Shum, Stephen

Abstract

We consider a problem in which a firm dynamically prices a product and its warranty service over time. Consumers can learn about the reliability of products based on warranty prices. A firm’s optimal product and warranty pricing policies are characterized. We find that a warranty should be priced lower than the marginal warranty service cost, which implies that warranty sales will not generate profits directly. However, offering a modest warranty still benefits the firm’s overall profits. We also show that consumers’ beliefs and the firm’s warranty policy converge in the long run. In a steady state, either a fraction of consumers will purchase a warranty or no consumer will purchase a warranty. Comparative statics analysis is conducted to show how factors such as a firm’s warranty service cost, consumers’ learning speed, and the heterogeneity of consumers’ handling costs determine consumers’ beliefs, the firm’s warranty policy and profitability in a steady state. Lastly, we note that a firm benefits from consumer learning by hiding the information about the true product reliability only when the true product failure rate is relatively high.

Suggested Citation

  • Lei, Yong & Liu, Qian & Shum, Stephen, 2017. "Warranty pricing with consumer learning," European Journal of Operational Research, Elsevier, vol. 263(2), pages 596-610.
  • Handle: RePEc:eee:ejores:v:263:y:2017:i:2:p:596-610
    DOI: 10.1016/j.ejor.2017.06.024
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    3. Xuemei Zhang & Jiawei Hu & Suqin Sun & Guohu Qi, 2022. "Extended Warranty Strategy and Its Environment Impact of Remanufactured Supply Chain," IJERPH, MDPI, vol. 19(3), pages 1-25, January.
    4. Lianmin Zhang & Lei Guan & Daniel Zhuoyu Long & Houcai Shen & Huajun Tang, 2023. "Who is better off by selling extended warranties in the supply chain: the manufacturer, the retailer, or both?," Annals of Operations Research, Springer, vol. 328(2), pages 1557-1583, September.
    5. Zhang, Shuguang & Dan, Bin & Zhou, Maosen, 2019. "After-sale service deployment and information sharing in a supply chain under demand uncertainty," European Journal of Operational Research, Elsevier, vol. 279(2), pages 351-363.
    6. Xu, Man & Tang, Wansheng & Zhao, Ruiqing, 2023. "Should reputable e-retailers undertake service activities along with sales?," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    7. Sara Alonso-Muñoz & Rocío González-Sánchez & Cristina Siligardi & Fernando E. García-Muiña, 2021. "New Circular Networks in Resilient Supply Chains: An External Capital Perspective," Sustainability, MDPI, vol. 13(11), pages 1-18, May.
    8. Wang, Dongfan & He, Zhen & He, Shuguang & Zhang, Zhaomin & Zhang, Yiwen, 2021. "Dynamic pricing of two-dimensional extended warranty considering the impacts of product price fluctuations and repair learning," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    9. Afsahi, Mohsen & Shafiee, Mahmood, 2020. "A stochastic simulation-optimization model for base-warranty and extended-warranty decision-making of under- and out-of-warranty products," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    10. Bian, Yiwen & Xie, Jiazheng & Archibald, Thomas W. & Sun, Yanhong, 2019. "Optimal extended warranty strategy: Offering trade-in service or not?," European Journal of Operational Research, Elsevier, vol. 278(1), pages 240-254.
    11. Yanrong Li & Lai Wei & Wei Jiang, 2021. "A Two-stage Pricing Strategy Considering Learning Effects and Word-of-Mouth," Papers 2110.11581, arXiv.org.
    12. Luo, Ming & Wu, Shaomin, 2018. "A value-at-risk approach to optimisation of warranty policy," European Journal of Operational Research, Elsevier, vol. 267(2), pages 513-522.

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