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Supply Chain Quality Decisions with Reference Effect under Supplier Competition Environment

Author

Listed:
  • Yiling Li

    (Business School, Minnan Normal University, Zhangzhou 363000, China)

  • Xiaowei Lin

    (Business School, Minnan Normal University, Zhangzhou 363000, China)

  • Xideng Zhou

    (School of Economics and Management, Yuzhang Normal University, Nanchang 330099, China)

  • Minglin Jiang

    (Business School, Minnan Normal University, Zhangzhou 363000, China)

Abstract

Nowadays, in such a competitive business environment, under the pursuit of high quality and high standards, every enterprise has clearly realized that the quality of products is directly related to the interests of the enterprise, the development of the enterprise, and the survival of the enterprise. The idea that quality is life has long been deeply rooted in every enterprise. Based on the aforementioned reality, this paper first constructs a demand function affected by product quality, service quality, reference effect and quality competition, and studies the optimal product quality and service quality under centralized decision-making and decentralized decision-making. By comparing the decision values and profit difference between centralized decision making and decentralized decision making, a bilateral cost sharing contract is proposed, and its application scope is discussed. The major findings entail that the centralized decision-making mode of supply chain will be more conducive to improving service quality. However, it is not necessarily conducive to improving product quality, which depends on the marginal profits of competitors, since supply chain decision-makers are more willing to invest resources in products with high marginal profits, thereby improving product quality. The increase of reference effect is conducive to improving the quality of products and services, but it may also lead to higher production costs in the case of centralized decision-making. Therefore, when the reference effect is high, supply chain enterprises should adopt decentralized decision-making mode. Excessive competition is not conducive to improving the profits and increases internal friction among enterprises. Therefore, when the competition is fierce, enterprise alliance is a better choice. Finally, the bilateral cost sharing contract can coordinate the supply chain, that is to say, the system profit is equal to the profit of centralized decision-making. However, only when the supplier’s share rate meets certain conditions can the bilateral cost sharing contract achieve Pareto optimization, that is to say, when it is greater than the profit of the enterprise under decentralized decision-making.

Suggested Citation

  • Yiling Li & Xiaowei Lin & Xideng Zhou & Minglin Jiang, 2022. "Supply Chain Quality Decisions with Reference Effect under Supplier Competition Environment," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:14939-:d:970136
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    References listed on IDEAS

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    1. Yafei Zu & Lianghua Chen, 2017. "Myopic versus Far-Sighted Behaviors in Dynamic Supply Chain Coordination through Advertising with Reference Price Effect," Discrete Dynamics in Nature and Society, Hindawi, vol. 2017, pages 1-15, May.
    2. Zhou Xideng & Xu Bing & Xie Fei & Li Yu, 2020. "Research on Quality Decisions and Coordination with Reference Effect in Dual-Channel Supply Chain," Sustainability, MDPI, vol. 12(6), pages 1-23, March.
    3. Hongfang Qiao & Xiaowei Lin & Xideng Zhou & Minglin Jiang, 2022. "Research on Joint Decision-Making of Timely Delivery, Product Quality and Marketing in Supply Chain Based on Differential Game," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
    4. Xinghong Qin & Qiang Su & Samuel H. Huang & Uco Jillert Wiersma & Ming Liu, 2019. "Service quality coordination contracts for online shopping service supply chain with competing service providers: integrating fairness and individual rationality," Operational Research, Springer, vol. 19(1), pages 269-296, March.
    5. Yanyan He & Juan Zhang & Qinglong Gou & Gongbing Bi, 2018. "Supply chain decisions with reference quality effect under the O2O environment," Annals of Operations Research, Springer, vol. 268(1), pages 273-292, September.
    6. Zhang, Juan & Gou, Qinglong & Liang, Liang & Huang, Zhimin, 2013. "Supply chain coordination through cooperative advertising with reference price effect," Omega, Elsevier, vol. 41(2), pages 345-353.
    7. Chutani, Anshuman & Sethi, Suresh P., 2018. "Dynamic cooperative advertising under manufacturer and retailer level competition," European Journal of Operational Research, Elsevier, vol. 268(2), pages 635-652.
    8. Minglin Jiang & Xiaowei Lin & Xideng Zhou & Hongfang Qiao, 2022. "Research on Supply Chain Quality Decision Model Considering Reference Effect and Competition under Different Decision-Making Modes," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    9. Xin Chen & Peng Hu & Stephen Shum & Yuhan Zhang, 2016. "Dynamic Stochastic Inventory Management with Reference Price Effects," Operations Research, INFORMS, vol. 64(6), pages 1529-1536, December.
    10. Robert L. Bray & Juan Camilo Serpa & Ahmet Colak, 2019. "Supply Chain Proximity and Product Quality," Management Science, INFORMS, vol. 65(9), pages 4079-4099, September.
    11. Chakraborty, Tulika & Chauhan, Satyaveer S. & Vidyarthi, Navneet, 2015. "Coordination and competition in a common retailer channel: Wholesale price versus revenue-sharing mechanisms," International Journal of Production Economics, Elsevier, vol. 166(C), pages 103-118.
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    1. Limin Su & Yongchao Cao & Wenjuan Zhang, 2023. "Low-Carbon Supply Chain Operation Decisions and Coordination Strategies Considering the Consumers’ Preferences," Sustainability, MDPI, vol. 15(14), pages 1-20, July.

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