Pricing strategy of traceable agricultural supply chain decisions considering retailer's overconfidence with government subsidy

IF 6.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY alexandria engineering journal Pub Date : 2024-11-11 DOI:10.1016/j.aej.2024.11.020
Chongfeng Lan, Yaru Lan, Shengde Liu
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Abstract

This study examines pricing strategies within a two-tier traceable agricultural product supply chain, encompassing both the retailer and the supplier. A pricing decision model was developed to evaluate scenarios characterized by the retailer's overconfidence as well as those devoid of such bias. This research employs Stackelberg game theory to investigate the impact of government subsidies, retailer overconfidence and consumer preferences for traceability on the performance of supply chain participants and the overall system. Our analysis derives the following findings: (i) retailer overconfidence strengthens their commitment to traceability, thereby enhancing the overall efficacy of the supply chain. (ii) Additionally, consumer demand for traceability incentivizes retailers to intensify their traceability initiatives, aligning with consumer purchasing expectations. (iii) The pricing decisions made by retailers are influenced by their overconfidence, consumer preferences for traceability, and the presence of government subsidies. (vi) The study also shows that retailer overconfidence and customer demand for traceability have the most effects on supply chain performance when decision-making is centralized.
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考虑到零售商对政府补贴的过度自信,可追溯农产品供应链决策的定价策略
本研究探讨了包括零售商和供应商在内的双层可追溯农产品供应链中的定价策略。研究开发了一个定价决策模型,以评估零售商过度自信和不存在过度自信的情况。本研究采用斯泰克尔伯格博弈论来研究政府补贴、零售商过度自信和消费者对可追溯性的偏好对供应链参与者和整个系统绩效的影响。我们的分析得出以下结论:(i) 零售商的过度自信会加强他们对可追溯性的承诺,从而提高供应链的整体效率。(ii) 此外,消费者对可追溯性的需求激励零售商加强其可追溯性举措,从而与消费者的购买期望保持一致。(iii) 零售商的定价决策受其过度自信、消费者对可追溯性的偏好以及政府补贴的影响。(vi) 研究还表明,当决策集中时,零售商的过度自信和消费者对可追溯性的需求对供应链绩效的影响最大。
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来源期刊
alexandria engineering journal
alexandria engineering journal Engineering-General Engineering
CiteScore
11.20
自引率
4.40%
发文量
1015
审稿时长
43 days
期刊介绍: Alexandria Engineering Journal is an international journal devoted to publishing high quality papers in the field of engineering and applied science. Alexandria Engineering Journal is cited in the Engineering Information Services (EIS) and the Chemical Abstracts (CA). The papers published in Alexandria Engineering Journal are grouped into five sections, according to the following classification: • Mechanical, Production, Marine and Textile Engineering • Electrical Engineering, Computer Science and Nuclear Engineering • Civil and Architecture Engineering • Chemical Engineering and Applied Sciences • Environmental Engineering
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