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Management of trade-in modes by recycling platforms based on consumer heterogeneity

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  • Li, Yongjian
  • Wang, Kun
  • Xu, Fangchao
  • Fan, Chunxing

Abstract

Today, the world has entered the era of the circular economy, and environmental regulations have become more stringent. This article considers a monopolistic recycling platform (RP), which offers three recycling strategies (trade-in for cash, trade-in for refurbishment, and trade-in for new) to generate more profits based on the heterogeneity of consumers in terms of perceived quality. There are three modes of RPs with diversified recycling strategies: (1) only trade-in for cash (e.g., Lehuiso); (2) trade-in for cash and for refurbishment (e.g., Gazelle); and (3) trade-in for cash, for refurbishment, and for new coexisting (e.g., Suhuishou). We develop a game model and derive optimal decisions of the RP under the three trade-in modes respectively. Comparing the different trade-in modes, we find that for the RP, the decision of which mode to offer among trade-in for cash, for refurbishment, and for new service, depends on the quality depreciation coefficients of used and refurbished products and the value of new products. We also conduct extensive numerical analysis and show the optimal service strategies for the three trade-in modes.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:transe:v:162:y:2022:i:c:s1366554522001120
    DOI: 10.1016/j.tre.2022.102721
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    References listed on IDEAS

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    Cited by:

    1. Zhang, Guangxia & Gong, Yeming & Hong, Xianpei, 2022. "Free rider effect of quality information disclosure in remanufacturing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    2. Hu, Shu & Zhu, Stuart X. & Fu, Ke, 2023. "Optimal trade-in and refurbishment strategies for durable goods," European Journal of Operational Research, Elsevier, vol. 309(1), pages 133-151.
    3. Cao, Kaiying & Su, Yunyi & Han, Guoxin & Choi, Tsan-Ming, 2022. "Is it wise to offer rebates for unused extended warranties under trade-in programs in supply chains?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    4. Fei Tang & Ying Dai & Zu‐Jun Ma, 2023. "Optimal joint trade‐in rebate strategies in a retailer‐led supply chain," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 399-415, January.
    5. Chu, Xiang & Wang, Rui & Lin, Yan & Li, Yantong, 2022. "Building trust in online trade-in programs with a blockchain-enabled system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).

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