Research on the pricing strategy of closed-loop supply chain considering the third-party fairness concern preference and reference effect

Yan Wang; Kui-ran Shi; Hui-ling Xia; Xiao-dong Du

doi:10.1117/12.2686490

28 July 2023 Research on the pricing strategy of closed-loop supply chain considering the third-party fairness concern preference and reference effect

Yan Wang, Kui-ran Shi, Hui-ling Xia, Xiao-dong Du

Author Affiliations +

Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 1275615 (2023) https://doi.org/10.1117/12.2686490
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China

Abstract

This paper studies the pricing strategy of closed-loop supply chain when consumers have reference effect and the thirdparty recycler has fairness concern preference. Firstly, this paper constructs three decision models：the decision model considering only fairness concerns, the decision model considering only the reference effect and the decision model considering both. Then, the optimal decision of each model is given under decentralized decision-making and centralized decision-making respectively. The results show that the fairness preference of the third party is beneficial to the third party itself, but not to the consumers and manufacturers and the reference effect of consumers is beneficial to itself and manufacturers, but not to the third party. Finally，numerical examples are used to verify the main theoretical results.

Citation Download Citation

Yan Wang, Kui-ran Shi, Hui-ling Xia, and Xiao-dong Du "Research on the pricing strategy of closed-loop supply chain considering the third-party fairness concern preference and reference effect", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 1275615 (28 July 2023); https://doi.org/10.1117/12.2686490

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