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Pricing Strategies in Dual-Channel Reverse Supply Chains Considering Fairness Concern

Author

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  • Di Wu

    (School of economics and management, Xi’an University of Technology, Xi’an 710048, China)

  • Juhong Chen

    (School of economics and management, Xi’an University of Technology, Xi’an 710048, China)

  • Ruyu Yan

    (School of economics and management, Xi’an University of Technology, Xi’an 710048, China)

  • Ruijun Zhang

    (School of economics and management, Xi’an University of Technology, Xi’an 710048, China)

Abstract

The fierce competition in the recycling industry and the rapid development of internet technology has prompted recycling centers to develop a dual-channel reverse supply chain with both offline and online recycling channels. After the introduction of online channels, recycling centers and third-party recyclers (TPR) have paid attention to the division of profits in supply chain systems and the behavior of fairness concerns. Therefore, it is necessary to help recycling enterprises make pricing decisions in consideration of fairness concerns. This paper is aimed at answering the following two main questions: (1) When the recycling center or TPR have fairness concerns, how does the optimal pricing and revenue of supply chain members change when both sides are neutral? (2) When the fairness concern coefficient changes, how does the overall revenue of the supply chain system change? How should supply chain members adjust their pricing decisions to maximize their own profits? In order to solve the above problems, Stackelberg game models were made from three aspects: both sides are neutral, only the TPR has fairness concerns, and only the recycling center has fairness concerns. Based on the results of the example analyses for the model, we found that when only the TPR has fairness concerns, the profit of the recycling center and the transfer price of offline channels will decrease, while the profit of TPR is the opposite. Furthermore, when only a recycling center has fairness concerns, it will lead to the reduction of not only the recycling price and transfer price of offline channels, but also the profits of the entire supply chain system. Specially, whether it is for a recycling center or TPR, a lower level of fairness concern coefficient has a stronger impact on pricing and revenue than at high levels.

Suggested Citation

  • Di Wu & Juhong Chen & Ruyu Yan & Ruijun Zhang, 2019. "Pricing Strategies in Dual-Channel Reverse Supply Chains Considering Fairness Concern," IJERPH, MDPI, vol. 16(9), pages 1-17, May.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:9:p:1657-:d:230607
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    References listed on IDEAS

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    1. Yenipazarli, Arda, 2019. "Incentives for environmental research and development: Consumer preferences, competitive pressure and emissions taxation," European Journal of Operational Research, Elsevier, vol. 276(2), pages 757-769.
    2. 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.
    3. 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.
    4. Axel Ockenfels & Gary E. Bolton, 2000. "ERC: A Theory of Equity, Reciprocity, and Competition," American Economic Review, American Economic Association, vol. 90(1), pages 166-193, March.
    5. Nnorom, I.C. & Osibanjo, O., 2008. "Overview of electronic waste (e-waste) management practices and legislations, and their poor applications in the developing countries," Resources, Conservation & Recycling, Elsevier, vol. 52(6), pages 843-858.
    6. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    7. Christoph H. Loch & Yaozhong Wu, 2008. "Social Preferences and Supply Chain Performance: An Experimental Study," Management Science, INFORMS, vol. 54(11), pages 1835-1849, November.
    8. Caliskan-Demirag, Ozgun & Chen, Youhua (Frank) & Li, Jianbin, 2010. "Channel coordination under fairness concerns and nonlinear demand," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1321-1326, December.
    9. Laurens G. Debo & L. Beril Toktay & Luk N. Van Wassenhove, 2005. "Market Segmentation and Product Technology Selection for Remanufacturable Products," Management Science, INFORMS, vol. 51(8), pages 1193-1205, August.
    10. Ellingsen, Tore & Johannesson, Magnus, 2005. "Sunk costs and fairness in incomplete information bargaining," Games and Economic Behavior, Elsevier, vol. 50(2), pages 155-177, February.
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    Cited by:

    1. Bo Wang & Ning Wang, 2022. "Decision Models for a Dual-Recycling Channel Reverse Supply Chain with Consumer Strategic Behavior," Sustainability, MDPI, vol. 14(17), pages 1-18, August.
    2. Genhasi Ge & Daoping Wang & Mesumbe Bianca Epede, 2022. "Pricing Policies of Green Dual-Channel Supply Chain with Fairness Concerns and Altruistic Preferences Based on Consumers’ Environmental Awareness and Channel Preference," IJERPH, MDPI, vol. 19(20), pages 1-28, October.

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