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Implementing trade‐in programs in the presence of resale platforms: Mode selection and pricing

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  • Xuanming Bai
  • Tsan‐Ming Choi
  • Yongjian Li
  • Xiaochen Sun

Abstract

Resale platforms such as Swappa and ThredUP, which provide a channel for product‐holders to sell used products, have become common. Interestingly, in the presence of resale platforms, some firms, such as Apple, set lower rebates for the trade‐in‐for‐upgrade (TU) mode instead of implementing the trade‐in‐for‐upgrade‐and‐cash (TUC) mode as Huawei does. In this paper, we build game‐theoretical models to explore how a firm should adjust its trade‐in strategy (e.g., choose pricing and mode selection between TU and TUC) in reaction to the emergence of third‐party resale platforms. We derive several insights. First, we find that using the TU mode helps to encourage consumer repurchases, whereas the TUC mode may have a greater promotion effect on consumers’ first purchases. Second, we show that in the TUC mode, the amount of the trade‐in rebate is not affected by the presence of the resale platform. Differently, in the TU mode, whether the firm should provide a more generous trade‐in rebate depends on the unit product cost when the resale platform is present. Third, in response to the resale platform, the firm should choose the TU mode to take advantage of the platform's promotion effect if the unit product cost is high and choose the TUC mode to avoid the platform's cannibalization effect if the unit product cost is low. To verify the robustness of our findings, we consider the effects of reduced consumer uncertainty and the dynamic pricing mechanism in the extended models. Our main findings concerning trade‐in rebate and mode selection remain valid.

Suggested Citation

  • Xuanming Bai & Tsan‐Ming Choi & Yongjian Li & Xiaochen Sun, 2023. "Implementing trade‐in programs in the presence of resale platforms: Mode selection and pricing," Production and Operations Management, Production and Operations Management Society, vol. 32(10), pages 3193-3208, October.
  • Handle: RePEc:bla:popmgt:v:32:y:2023:i:10:p:3193-3208
    DOI: 10.1111/poms.14030
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    References listed on IDEAS

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    1. Shuya Yin & Saibal Ray & Haresh Gurnani & Animesh Animesh, 2010. "Durable Products with Multiple Used Goods Markets: Product Upgrade and Retail Pricing Implications," Marketing Science, INFORMS, vol. 29(3), pages 540-560, 05-06.
    2. Lifei Jiang & Stanko Dimitrov & Benny Mantin, 2017. "P2P Marketplaces and Retailing in the Presence of Consumers' Valuation Uncertainty," Production and Operations Management, Production and Operations Management Society, vol. 26(3), pages 509-524, March.
    3. Baojun Jiang & Lin Tian, 2018. "Collaborative Consumption: Strategic and Economic Implications of Product Sharing," Management Science, INFORMS, vol. 64(3), pages 1171-1188, March.
    4. Hyoduk Shin & Tunay I. Tunca, 2010. "Do Firms Invest in Forecasting Efficiently? The Effect of Competition on Demand Forecast Investments and Supply Chain Coordination," Operations Research, INFORMS, vol. 58(6), pages 1592-1610, December.
    5. Xuanming Su, 2010. "Optimal Pricing with Speculators and Strategic Consumers," Management Science, INFORMS, vol. 56(1), pages 25-40, January.
    6. Xuanming Su, 2009. "Consumer Returns Policies and Supply Chain Performance," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 595-612, March.
    7. Monire Jalili & Michael S. Pangburn, 2020. "Pricing Joint Sales and Rentals: When are Purchase Conversion Discounts Optimal?," Production and Operations Management, Production and Operations Management Society, vol. 29(12), pages 2679-2695, December.
    8. Igal Hendel & Alessandro Lizzeri, 1999. "Interfering with Secondary Markets," RAND Journal of Economics, The RAND Corporation, vol. 30(1), pages 1-21, Spring.
    9. Ming Chen & Zhi-Long Chen, 2015. "Recent Developments in Dynamic Pricing Research: Multiple Products, Competition, and Limited Demand Information," Production and Operations Management, Production and Operations Management Society, vol. 24(5), pages 704-731, May.
    10. Haoying Sun & Stephen M. Gilbert, 2019. "Retail Price Competition with Product Fit Uncertainty and Assortment Selection," Production and Operations Management, Production and Operations Management Society, vol. 28(7), pages 1658-1673, July.
    11. Li, Yongjian & Feng, Lipan & Govindan, Kannan & Xu, Fangchao, 2019. "Effects of a secondary market on original equipment manufactures’ pricing, trade-in remanufacturing, and entry decisions," European Journal of Operational Research, Elsevier, vol. 279(3), pages 751-766.
    12. Raghunath Singh Rao & Om Narasimhan & George John, 2009. "Understanding the Role of Trade-Ins in Durable Goods Markets: Theory and Evidence," Marketing Science, INFORMS, vol. 28(5), pages 950-967, 09-10.
    13. Xuanming Su & Fuqiang Zhang, 2008. "Strategic Customer Behavior, Commitment, and Supply Chain Performance," Management Science, INFORMS, vol. 54(10), pages 1759-1773, October.
    14. Saibal Ray & Tamer Boyaci & Necati Aras, 2005. "Optimal Prices and Trade-in Rebates for Durable, Remanufacturable Products," Manufacturing & Service Operations Management, INFORMS, vol. 7(3), pages 208-228, January.
    15. Preyas S. Desai & Devavrat Purohit & Bo Zhou, 2016. "The Strategic Role of Exchange Promotions," Marketing Science, INFORMS, vol. 35(1), pages 93-112, January.
    16. Lee, Chang Hwan & Rhee, Byong-Duk, 2018. "Retailer-run resale market and optimal returns and resale policy," European Journal of Operational Research, Elsevier, vol. 268(2), pages 504-514.
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