An equilibrium analysis of blockchain integration strategies in the livestock meat supply chain considering consumers’ preference for quality trust

IF 2.5 4区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS
Kybernetes Pub Date : 2024-08-27 DOI:10.1108/k-03-2024-0609
Yiping Jiang, Shanshan Zhou, Jie Chu, Xiaoling Fu, Junyi Lin
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Abstract

Purpose

This paper aims to explore blockchain integration strategies within a three-level livestock meat supply chain in which consumers have a preference for quality trust in livestock meat products. The paper investigates three questions: First, how does consumers’ preference for quality trust affect blockchain integration and transaction decisions among supply chain participants? Second, under what circumstances will retailers choose to participate in the blockchain? Finally, how can other factors such as blockchain costs and supplier–retailer partnership value affect integration decisions?

Design/methodology/approach

This paper formulates a supply chain network equilibrium model and employs the logarithmic-quadratic proximal prediction-correction method to obtain equilibrium decisions. Extensive numerical studies are conducted using a pork supply chain network to analyze the implications of blockchain integration for different supply chain participants.

Findings

The results reveal several key insights: First, suppliers’ increased blockchain integration, driven by higher quality trust preference, can negatively affect their profits, particularly, with excessive trust preferences and high blockchain costs. Second, an increase in consumers’ preference for quality trust expands the range of unit operating costs for retailers engaging in blockchain. Finally, the supplier–retailer partnership drives retailer blockchain participation, facilitating enhanced information sharing to benefit the entire supply chain.

Originality/value

This study provides original insights into blockchain integration strategies in an agricultural supply chain through the application of the supply chain network equilibrium model. The investigation of several key factors on equilibrium decisions provides important managerial implications for different supply chain participants to address consumers’ preference for quality trust and enhance overall supply chain performance.

考虑消费者对质量信任的偏好,对畜肉供应链中区块链整合战略的均衡分析
目的 本文旨在探索消费者对畜肉产品质量信任偏好的三级畜肉供应链中的区块链整合策略。本文探讨了三个问题:第一,消费者对质量信任的偏好如何影响供应链参与者的区块链整合和交易决策?其次,零售商在什么情况下会选择参与区块链?最后,区块链成本和供应商-零售商合作价值等其他因素会如何影响整合决策?本文建立了一个供应链网络均衡模型,并采用对数-二次近似预测-修正方法来获得均衡决策。利用猪肉供应链网络进行了广泛的数值研究,分析了区块链整合对不同供应链参与者的影响:首先,供应商在更高的质量信任偏好驱动下加强区块链整合,会对其利润产生负面影响,尤其是在过度信任偏好和区块链成本较高的情况下。其次,消费者对质量信任偏好的增加扩大了零售商参与区块链的单位运营成本范围。最后,供应商与零售商的合作关系推动了零售商对区块链的参与,促进了信息共享的加强,使整个供应链受益。对影响均衡决策的几个关键因素的调查为不同的供应链参与者提供了重要的管理启示,以满足消费者对质量信任的偏好并提高供应链的整体绩效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Kybernetes
Kybernetes 工程技术-计算机:控制论
CiteScore
4.90
自引率
16.00%
发文量
237
审稿时长
4.3 months
期刊介绍: Kybernetes is the official journal of the UNESCO recognized World Organisation of Systems and Cybernetics (WOSC), and The Cybernetics Society. The journal is an important forum for the exchange of knowledge and information among all those who are interested in cybernetics and systems thinking. It is devoted to improvement in the understanding of human, social, organizational, technological and sustainable aspects of society and their interdependencies. It encourages consideration of a range of theories, methodologies and approaches, and their transdisciplinary links. The spirit of the journal comes from Norbert Wiener''s understanding of cybernetics as "The Human Use of Human Beings." Hence, Kybernetes strives for examination and analysis, based on a systemic frame of reference, of burning issues of ecosystems, society, organizations, businesses and human behavior.
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