Optimal logistics service strategies in green agricultural product supply chains with E-commerce platforms

被引：1

作者：

Zhou, Chi ^{[1
]}

Bai, Danyang ^{[1
]}

Liu, Zhibing ^{[2
]}

Yu, Jing ^{[1
]}

Fei, Yapeng ^{[1
]}

机构：

[1] School of Management, Tianjin University of Technology, Tianjin

[2] College of Mathematical Sciences, Jiangsu Second Normal University, Nanjing

来源：

Sustainable Operations and Computers | 2024年 / 5卷

基金：

中国国家自然科学基金;

关键词：

Game theory; Green agricultural product; Logistics service; Platform operations; Supply chain management;

D O I：

10.1016/j.susoc.2024.06.002

中图分类号：

学科分类号：

摘要：

With the increasing development of logistics industry, an important question arises: which logistics format should an agricultural product seller select? Or when an agricultural product seller does select a certain logistics format? To answer this question, we explore three different green agricultural product supply chain models/scenarios: a self-managed logistics format(N); a third-party enterprise logistics format(S); and a platform logistics format(E). Using the game-theoretic model, we investigate the impact of the cost coefficient on the agricultural product seller's logistics preference under the three logistics scenarios. Our theoretical analyses show that when the cost coefficient is small, the agricultural product seller prefers to cooperate with the 3PL enterprise, but as the coefficient increases, the agricultural product seller prefers to choose her self-managed logistics. Therefore, to optimize the logistics strategy of the agricultural product seller under B2C mode, it is necessary to build a reasonable logistics management mechanism and a perfect logistics distribution system to reduce the logistics service cost coefficient. © 2024

引用

页码：156 / 166

页数：10

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