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Myopic vs. far-sighted behaviours in a revenue-sharing supply chain with reference quality effects

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  • Guowei Liu
  • Suresh P. Sethi
  • Jianxiong Zhang

Abstract

In this paper, we consider a dynamic supply chain where a manufacturer produces and distributes a featured product through an exclusive retailer to end consumers. The manufacturer decides the product quality and wholesale price, while the retailer sets the retail price in the presence of a revenue-sharing contract and consumers’ reference quality effects. The objective of this study is to investigate the impacts of myopic behaviour regarding the reference quality on the product quality and pricing strategies and profits of both members. Our results suggest that the manufacturer’s myopia leads to a higher quality, higher price strategy and a higher quality--price ratio which benefits consumers. Meanwhile, relative to the far-sighted behaviour, myopia results in a more quality-sensitive but less price-sensitive market demand. What’s more, we find that the manufacturer is apt to act in a far-sighted way, but the retailer isn’t always willing to cooperate with a far-sighted manufacturer. Taking myopic strategies for both members is likely to gain a high profit of the whole supply chain for a relatively high marginal contribution of product quality on demand and a relatively low revenue-sharing proportion.

Suggested Citation

  • Guowei Liu & Suresh P. Sethi & Jianxiong Zhang, 2016. "Myopic vs. far-sighted behaviours in a revenue-sharing supply chain with reference quality effects," International Journal of Production Research, Taylor & Francis Journals, vol. 54(5), pages 1334-1357, March.
  • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:5:p:1334-1357
    DOI: 10.1080/00207543.2015.1068962
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    Cited by:

    1. Deqing Ma & Xue Wang & Jinsong Hu, 2022. "Platform Selling Mode Selection Considering Consumer Reference Effect in Carbon Emission Reduction," IJERPH, MDPI, vol. 20(1), pages 1-43, December.
    2. Jianhong He & Yaling Lei & Xiao Fu, 2019. "Do Consumer’s Green Preference and the Reference Price Effect Improve Green Innovation? A Theoretical Model Using the Food Supply Chain as a Case," IJERPH, MDPI, vol. 16(24), pages 1-15, December.
    3. De Giovanni, Pietro & Zaccour, Georges, 2023. "A survey of dynamic models of product quality," European Journal of Operational Research, Elsevier, vol. 307(3), pages 991-1007.
    4. Mauleon, Ana & Sempere-Monerris, Jose J. & Vannetelbosch, Vincent, 2023. "R&D network formation with myopic and farsighted firms," Journal of Economic Behavior & Organization, Elsevier, vol. 208(C), pages 203-229.
    5. Guang Yang & Ying Wang & Mulin Liu, 2023. "Optimal Policy for Probabilistic Selling with Three-Way Revenue Sharing Contract under the Perspective of Sustainable Supply Chain," Sustainability, MDPI, vol. 15(4), pages 1-22, February.
    6. Katarzyna Kańska & Agnieszka Wiszniewska-Matyszkiel, 2022. "Dynamic Stackelberg duopoly with sticky prices and a myopic follower," Operational Research, Springer, vol. 22(4), pages 4221-4252, September.
    7. Lu, Fuxiao & Tang, Wansheng & Liu, Guowei & Zhang, Jianxiong, 2019. "Cooperative advertising: A way escaping from the prisoner’s dilemma in a supply chain with sticky price," Omega, Elsevier, vol. 86(C), pages 87-106.
    8. Zhao, Yan & Li, Yanhui & Yao, Qi & Guan, Xu, 2023. "Dual-channel retailing strategy vs. omni-channel buy-online-and-pick-up-in-store behaviors with reference freshness effect," International Journal of Production Economics, Elsevier, vol. 263(C).
    9. Zhichao Zhang & Qing Zhang & Zhi Liu & Xiaoxue Zheng, 2018. "Static and Dynamic Pricing Strategies in a Closed-Loop Supply Chain with Reference Quality Effects," Sustainability, MDPI, vol. 10(1), pages 1-31, January.
    10. Zhaofu Hong & Hao Wang & Yeming Gong, 2019. "Green product design considering functional-product reference," Post-Print hal-02312293, HAL.
    11. Hong, Zhaofu & Wang, Hao & Yu, Yugang, 2018. "Green product pricing with non-green product reference," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 1-15.
    12. Wang, Xinyu & Sethi, Suresh P. & Chang, Shuhua, 2022. "Pollution abatement using cap-and-trade in a dynamic supply chain and its coordination," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    13. Yanlu Guo & Gongli Luo & Guisheng Hou, 2021. "Research on the Evolution of the Express Packaging Recycling Strategy, Considering Government Subsidies and Synergy Benefits," IJERPH, MDPI, vol. 18(3), pages 1-25, January.
    14. Yida Zhai & Guanghua Han, 2022. "The effect of the inspection information sharing policy on quality‐oriented food production in online commerce," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(1), pages 84-96, January.
    15. Jun Wang & Xianxue Cheng & Xinyu Wang & Hongtao Yang & Shuhua Zhang, 2019. "Myopic versus Farsighted Behaviors in a Low-Carbon Supply Chain with Reference Emission Effects," Complexity, Hindawi, vol. 2019, pages 1-15, February.
    16. Deqing Ma & Jinsong Hu & Weihao Wang, 2021. "Differential game of product–service supply chain considering consumers’ reference effect and supply chain members’ reciprocity altruism in the online-to-offline mode," Annals of Operations Research, Springer, vol. 304(1), pages 263-297, September.
    17. Ma, Shigui & He, Yong & Gu, Ran, 2021. "Joint service, pricing and advertising strategies with tourists’ green tourism experience in a tourism supply chain," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    18. Ma, Peng & Gong, Yeming & Mirchandani, Prakash, 2020. "Trade-in for remanufactured products: Pricing with double reference effects," International Journal of Production Economics, Elsevier, vol. 230(C).
    19. Hong, Zhaofu & Wang, Hao & Gong, Yeming, 2019. "Green product design considering functional-product reference," International Journal of Production Economics, Elsevier, vol. 210(C), pages 155-168.
    20. Murat Erkoc & Haresh Gurnani & Saibal Ray & Mingzhu Jin, 2023. "Quality investment, inspection policy, and pricing decisions in a decentralized supply chain," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 207-226, January.

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