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Optimal pricing and trade-in policies in a dual-channel supply chain when considering market segmentation

Author

Listed:
  • Lipan Feng
  • Yongjian Li
  • Fangchao Xu
  • Qianzhou Deng

Abstract

Many companies are implementing trade-in programmes through multiple channels. This may ultimately lead to fiercer channel conflict and competition. Few studies have explored firms’ optimal trade-in policies in such an environment. To fill the gap, we build a theoretical model that captures the features of a dual-channel situation in which a manufacturer implements a trade-in programme through retail and direct channels simultaneously. Compared with the case in which there is no trade-in rebate, the results show that a trade-in programme can intensify or mitigate the double marginalisation effect if the retailer can initially decide the trade-in rebate in the retail channel. This significantly relies on market segmentation. However, when the retailer cannot decide the trade-in rebate in the retail channel, the trade-in programme aggravates the double marginalisation effect. Second, the trade-in rebate offered by the retailer may be higher than the subsidy offered by the manufacturer, as long as the retailer can autonomously decide the trade-in rebate in the retail channel. Furthermore, we find that both the manufacturer and retailer prefer to obtain the right to autonomously decide the trade-in rebate in the retail channel, but the supply chain prefers that the manufacturer do it. Some numerical examples are provided to further explain these outcomes.

Suggested Citation

  • Lipan Feng & Yongjian Li & Fangchao Xu & Qianzhou Deng, 2019. "Optimal pricing and trade-in policies in a dual-channel supply chain when considering market segmentation," International Journal of Production Research, Taylor & Francis Journals, vol. 57(9), pages 2828-2846, May.
  • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:9:p:2828-2846
    DOI: 10.1080/00207543.2018.1551636
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    Citations

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    Cited by:

    1. Zhen Wang & Yongrui Duan & Jiazhen Huo, 2020. "Impact of Trade-In Remanufacturing Policy and Consumer Behavior on Remanufacturer Decisions," Sustainability, MDPI, vol. 12(15), pages 1-18, July.
    2. Li, Sijie & Jia, Dongfeng & Zheng, Bin, 2022. "The manufacturer’s trade-in partner choice and pricing in the presence of collection platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    3. Subrata Mitra, 2022. "Economic models of price competition between traditional and online retailing under showrooming," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 49(1), pages 29-63, March.
    4. Fan, Xiaojun & Guo, Xin & Wang, Shanshan, 2022. "Optimal collection delegation strategies in a retail-/dual-channel supply chain with trade-in programs," European Journal of Operational Research, Elsevier, vol. 303(2), pages 633-649.
    5. Tahirov, Nail & Glock, Christoph H., 2022. "Manufacturer encroachment and channel conflicts: A systematic review of the literature," European Journal of Operational Research, Elsevier, vol. 302(2), pages 403-426.
    6. Tang, Fei & Dai, Ying & Ma, Zu-Jun & Choi, Tsan-Ming, 2023. "Trade-in operations under retail competition: Effects of brand loyalty," European Journal of Operational Research, Elsevier, vol. 310(1), pages 397-414.
    7. Quan, Yuting & Hong, Jiangtao & Song, Jingpu & Leng, Mingming, 2021. "Game-theoretic analysis of trade-in services in closed-loop supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    8. He, Peng & He, Yong & Xu, Henry, 2020. "Buy-online-and-deliver-from-store strategy for a dual-channel supply chain considering retailer’s location advantage," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    9. Dou, Guowei & Choi, Tsan-Ming, 2021. "Does implementing trade-in and green technology together benefit the environment?," European Journal of Operational Research, Elsevier, vol. 295(2), pages 517-533.
    10. Cao, Kaiying & Han, Guoxin & Xu, Bing & Wang, Jia, 2020. "Gift card payment or cash payment: Which payment is suitable for trade-in rebate?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
    11. Li, Yongjian & Wang, Kun & Xu, Fangchao & Fan, Chunxing, 2022. "Management of trade-in modes by recycling platforms based on consumer heterogeneity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).
    12. Cheng, Peiyue & Wang, Tingsong, 2023. "Optimizing the emission control policies and trade-in program effects: A carbon-constrained closed-loop supply chain network model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    13. Syed Asif Raza, 2022. "A bibliometric analysis of pricing models in supply chain," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(2), pages 228-251, April.

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