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Pricing Decision Models of the Dual Channel Supply Chain with Service Level and Return

Author

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  • Xuelong Zhang

    (School of Business, Guilin University of Electronic Technology, Guilin 541004, China
    School of Economics and Management, Guangxi Normal University, Guilin 541004, China)

  • Huili Xu

    (School of Business, Guilin University of Electronic Technology, Guilin 541004, China)

  • Chenhui Zhang

    (School of Business, Guilin University of Electronic Technology, Guilin 541004, China)

  • Shuang Xiao

    (School of Business, Guilin University of Electronic Technology, Guilin 541004, China)

  • Ying Zhang

    (School of Business, Guilin University of Electronic Technology, Guilin 541004, China)

Abstract

The interests of upstream, midstream, downstream companies and consumers in the supply chain are jointly affected by service levels and returns. Improving service levels can increase market demand and improve market position, as well as reduce return rates. But the increase in service level will bring an increase in service cost. How to balance the service cost and return cost through pricing decision, so that the profit of supply chain members can be improved, is the problem studied in this paper. In this paper, we consider the effect of service level of network channel on consumers’ return behavior in the context of manufacturer’s dual-channel supply chain when dual channels provide services at the same time, and discuss the effect of service level and return rate on pricing decision of dual-channel supply chain. It was found that return behavior can stimulate manufacturers to improve service levels and increase overall supply chain profits. The higher the return rate in the network channel, the greater the benefits from improved service levels by the manufacturer and the less detrimental to retailers’ returns. This study enriches the research on pricing decisions in dual-channel supply chains, increases the motivation of merchants to improve service levels, and has some guiding implications for supply chain members to develop price and service strategies.

Suggested Citation

  • Xuelong Zhang & Huili Xu & Chenhui Zhang & Shuang Xiao & Ying Zhang, 2022. "Pricing Decision Models of the Dual Channel Supply Chain with Service Level and Return," Energies, MDPI, vol. 15(23), pages 1-13, December.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:9237-:d:994773
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    References listed on IDEAS

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    1. Assarzadegan, Parisa & Rasti-Barzoki, Morteza, 2020. "A game theoretic approach for pricing under a return policy and a money back guarantee in a closed loop supply chain," International Journal of Production Economics, Elsevier, vol. 222(C).
    2. Jena, Sarat Kumar & Meena, Purushottam, 2022. "Shopping in the omnichannel supply chain under price competition and product return," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    3. Li, Guo & Li, Lin & Sethi, Suresh P. & Guan, Xu, 2019. "Return strategy and pricing in a dual-channel supply chain," International Journal of Production Economics, Elsevier, vol. 215(C), pages 153-164.
    4. Chen, Bintong & Chen, Jing, 2017. "Compete in Price or Service?—A Study of Personalized Pricing and Money Back Guarantees," Journal of Retailing, Elsevier, vol. 93(2), pages 154-171.
    5. Zhang, Guangming & Dai, Gengxin & Sun, Hao & Zhang, Guitao & Yang, Zhilin, 2020. "Equilibrium in supply chain network with competition and service level between channels considering consumers' channel preferences," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    6. Jose A. Guajardo & Morris A. Cohen, 2018. "Service Differentiation and Operating Segments: A Framework and an Application to After-Sales Services," Manufacturing & Service Operations Management, INFORMS, vol. 20(3), pages 440-454, July.
    7. Yusen Xia & Tiaojun Xiao & G. Peter Zhang, 2019. "Service Investment and Channel Structure Decisions in Competing Supply Chains," Service Science, INFORMS, vol. 11(1), pages 57-74, March.
    8. Zhang, Shichen & Zhang, Jianxiong & Zhu, Guowei, 2019. "Retail service investing: An anti-encroachment strategy in a retailer-led supply chain," Omega, Elsevier, vol. 84(C), pages 212-231.
    9. Zhou, Yong-Wu & Guo, Jinsen & Zhou, Wenhui, 2018. "Pricing/service strategies for a dual-channel supply chain with free riding and service-cost sharing," International Journal of Production Economics, Elsevier, vol. 196(C), pages 198-210.
    10. Genc, Talat S. & De Giovanni, Pietro, 2018. "Optimal return and rebate mechanism in a closed-loop supply chain game," European Journal of Operational Research, Elsevier, vol. 269(2), pages 661-681.
    11. Yan, Ruiliang & Pei, Zhi, 2011. "Information asymmetry, pricing strategy and firm's performance in the retailer- multi-channel manufacturer supply chain," Journal of Business Research, Elsevier, vol. 64(4), pages 377-384, April.
    12. Marta Kadłubek & Eleftherios Thalassinos & Joanna Domagała & Sandra Grabowska & Sebastian Saniuk, 2022. "Intelligent Transportation System Applications and Logistics Resources for Logistics Customer Service in Road Freight Transport Enterprises," Energies, MDPI, vol. 15(13), pages 1-27, June.
    13. Wang, Qiang & Wu, Jie & Zhao, Nenggui, 2022. "Optimal operational policies of a dual-channel supply chain considering return service," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 199(C), pages 414-437.
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