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Dual-Channel Pricing Decisions for Product Recycling in Green Supply Chain Operations: Considering the Impact of Consumer Loss Aversion

Author

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  • Jiaying Xu

    (School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China)

  • Qingfeng Meng

    (School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China)

  • Yuqing Chen

    (School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China)

  • Jia Zhao

    (School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China)

Abstract

With the vigorous rise of online third-party recycling platforms, dual-channel recycling has become the primary recycling mode in the reverse supply chain (RSC). However, as the main body of recycling, consumers have a significant impact on the recycling process, and their behavioral preferences are rarely considered in the pricing decision of the reverse recycling supply chain. Based on the dual-channel RSC, this paper considers the competition among channels. It introduces the loss aversion behavior preference of consumers to establish a dual-channel RSC composed of remanufacturers and online and offline recyclers. This study aims to analyze the impact of consumers’ loss aversion behavior on the recycling pricing and profit of each node in the green RSC and discuss the decision of recyclers under consumers’ loss aversion behavior. The results show that the deeper consumers’ aversion to the loss of recycling price, the lower the recycling price of dual-channel recyclers will be, which will be more conducive to the increase in the profit of online recyclers. However, the profit of remanufacturers will be reduced, and the total amount of recycling will decline. This paper considers the impact of consumer loss aversion behavior on dual-channel reverse supply chain pricing decisions based on prospect theory. It provides references for chain members to set recycling prices to increase people’s enthusiasm for recycling and the amount of recycled scrap, contributes to the cause of resource conservation and environmental protection, and improves the economic efficiency of recycling enterprises.

Suggested Citation

  • Jiaying Xu & Qingfeng Meng & Yuqing Chen & Jia Zhao, 2023. "Dual-Channel Pricing Decisions for Product Recycling in Green Supply Chain Operations: Considering the Impact of Consumer Loss Aversion," IJERPH, MDPI, vol. 20(3), pages 1-15, January.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:1792-:d:1040271
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    References listed on IDEAS

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    1. Peng Li & Di Wu, 2021. "A Multi-Echelon Network Design in a Dual-Channel Reverse Supply Chain Considering Consumer Preference," IJERPH, MDPI, vol. 18(9), pages 1-24, April.
    2. Chunqiao Tan & Zhaodu Liu & Desheng Dash Wu & Xiaohong Chen, 2018. "Cournot game with incomplete information based on rank-dependent utility theory under a fuzzy environment," International Journal of Production Research, Taylor & Francis Journals, vol. 56(5), pages 1789-1805, March.
    3. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    4. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    5. Chengli Liu & C. K. M. Lee & K. H. Leung, 2019. "Pricing Strategy in Dual-Channel Supply Chains with Loss-Averse Consumers," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(05), pages 1-22, October.
    6. Zhongwei Feng & Chunqiao Tan, 2019. "Pricing, Green Degree and Coordination Decisions in a Green Supply Chain with Loss Aversion," Mathematics, MDPI, vol. 7(3), pages 1-25, March.
    7. Juhong Chen & Di Wu & Peng Li, 2018. "Research on the Pricing Model of the Dual-Channel Reverse Supply Chain Considering Logistics Costs and Consumers’ Awareness of Sustainability Based on Regional Differences," Sustainability, MDPI, vol. 10(7), pages 1-31, June.
    8. Feng, Lipan & Govindan, Kannan & Li, Chunfa, 2017. "Strategic planning: Design and coordination for dual-recycling channel reverse supply chain considering consumer behavior," European Journal of Operational Research, Elsevier, vol. 260(2), pages 601-612.
    9. Ting Li & Dongyun Yan & Shuxia Sui, 2020. "Research on the Complexity of Game Model about Recovery Pricing in Reverse Supply Chain considering Fairness Concerns," Complexity, Hindawi, vol. 2020, pages 1-13, May.
    10. Das, Debabrata & Dutta, Pankaj, 2022. "Product return management through promotional offers: The role of consumers’ loss aversion," International Journal of Production Economics, Elsevier, vol. 251(C).
    11. Bi-feng Liao & Bing-zhang Wang, 2020. "Impact of Consumer Loss Aversion on Operations in the Context of Remanufacturing," Complexity, Hindawi, vol. 2020, pages 1-10, October.
    12. Shen, Bin & Xu, Xiaoyan & Guo, Shu, 2019. "The impacts of logistics services on short life cycle products in a global supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 153-167.
    13. Yanting Huang & Zongjun Wang, 2019. "Pricing and production decisions in a closed-loop supply chain considering strategic consumers and technology licensing," International Journal of Production Research, Taylor & Francis Journals, vol. 57(9), pages 2847-2866, May.
    14. Matsui, Kenji, 2022. "Optimal timing of acquisition price announcement for used products in a dual-recycling channel reverse supply chain," European Journal of Operational Research, Elsevier, vol. 300(2), pages 615-632.
    15. Yao Kang & Juhong Chen & Di Wu, 2020. "Research on Pricing and Service Level Strategies of Dual Channel Reverse Supply Chain Considering Consumer Preference in Multi-Regional Situations," IJERPH, MDPI, vol. 17(23), pages 1-21, December.
    16. Xigang Yuan & Fei Tang & Dalin Zhang & Xiaoqing Zhang, 2021. "Green Remanufacturer’s Mixed Collection Channel Strategy Considering Enterprise’s Environmental Responsibility and the Fairness Concern in Reverse Green Supply Chain," IJERPH, MDPI, vol. 18(7), pages 1-18, March.
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    2. Lihua Hu & Tao Fan, 2023. "Guarantee Stability of Supply Chain with Dual Channels under Supply Failure of Goods," Sustainability, MDPI, vol. 15(7), pages 1-15, March.

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