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Original Paper | Open Access | Just Accepted

Optimal Decisions for a Fresh Agricultural Product Supply Chain with Altruistic Behavior under Blockchain Technology

Chunming Xu1Yi Zhao1,2Guoyu Bi1Juan Gao1( )

1 Institute of operations research and systems engineering, College of Science, Tianjin University of Technology, Tianjin 300384, China

2 Guangzhou Huali College, Jiangmen 529149, China

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Abstract

This study incorporates blockchain technology (BT) and altruistic behavior into a freshagricultural supply chain (FASC) consisting of a supplier and a powerful retailer. We firstly investigatethe optimal strategies of FASC members under the baseline scenarios without and with BT (ScenariosN and B) and further explore three scenariosbased on blockchain system: supply chain members exhibiting complete altruistic preferences(Scenario BC), (2) the retailer’s unilateral altruistic preference (Scenario BR), and (3) the supplier’sunilateral altruistic preference (Scenario BS). Then, we design a revenue-sharing contract to coordinatethe FASC with the retailer’s unilateral altruistic behavior. Subsequently, we give a model extension withbilateral altruistic preferences between the retailer and the supplier (Scenario BA). Finally, numericalexamples are employed to illustrate the models and their implications. The results indicate that theretailer’s unilateral altruistic reduce her own profit. While the supplier’s unilateral altruistic preferencecan only increase his own profit when the service investment coefficient is low. In comparison to therational behavior of participants, both the unilateral altruistic preferences of the retailer and the supplier,as well as bilateral altruistic preferences, can promote the adoption of BT within the FASC

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Tsinghua Science and Technology

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Cite this article:
Xu C, Zhao Y, Bi G, et al. Optimal Decisions for a Fresh Agricultural Product Supply Chain with Altruistic Behavior under Blockchain Technology. Tsinghua Science and Technology, 2025, https://doi.org/10.26599/TST.2025.9010114

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Received: 24 February 2025
Revised: 04 May 2025
Accepted: 30 June 2025
Available online: 07 July 2025

© The author(s) 2025

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).