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Research Article | Open Access | Online First

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

Institute of Operations Research and Systems Engineering, College of Science, Tianjin University of Technology, Tianjin 300384, China
Guangzhou Huali College, Jiangmen 529149, China
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Abstract

This study incorporates blockchain technology (BT) and altruistic behavior into a fresh agricultural supply chain (FASC) consisting of a supplier and a powerful retailer. We firstly investigate the optimal strategies of FASC members under the baseline scenarios without and with BT (Scenarios N and B) and further explore three scenarios based 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’s unilateral altruistic preference (Scenario BS). Then, we design a revenue-sharing contract to coordinate the FASC with the retailer’s unilateral altruistic behavior. Subsequently, we give a model extension with bilateral altruistic preferences between the retailer and the supplier (Scenario BA). Finally, numerical examples are employed to illustrate the models and their implications. The results indicate that the retailer’s unilateral altruistic reduce her own profit. While the supplier’s unilateral altruistic preference can only increase his own profit when the service investment coefficient is low. In comparison to the rational 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, 2026, https://doi.org/10.26599/TST.2025.9010114

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Received: 24 February 2025
Revised: 04 May 2025
Accepted: 30 June 2025
Published: 13 July 2026
© The author(s) 2026.

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/).