Blockchain-facilitated quality traceability and pre-sale inspection: Influencing geographical indication supply chain contracts and farmer quality decisions

IF 6.5 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Industrial Engineering Pub Date : 2025-02-01 DOI:10.1016/j.cie.2024.110769
Sensen Hu , Yishan Jin , Xinghong Qin
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Abstract

Geographical Indications (GIs) are increasingly prominent in the global economy, offering market leverage and propelling agricultural development. However, concerns arise that GI producers prioritize short-term gains over long-term quality assurance, leading to moral hazards and quality degradation. The prevalence of free-riding behavior within GI supply chains poses a collective action dilemma, significantly challenging the management of product quality.
In this paper, we explore the integration of blockchain technology and quality inspections into GI supply chains as potential solutions for establishing reliable and effective quality management measures. We develop a two-tier model involving one retailer and two farmers to analyze the effects of quality inspection and blockchain-based traceability on product quality and the handling of substandard products. By assessing the optimal profits of retailers and farmers under various quality management models, we ascertain the strategy that achieves a Pareto-efficient improvements.
Our research investigates the efficacy of blockchain-facilitated traceability and pre-sale inspection in shaping supply chain contracts, influencing quality decisions, and augmenting the overall value addition of blockchain integration. Despite the effectiveness of quality inspections in defect prevention, they fail to bolster overall earnings when implemented in isolation. Although the synergistic application of inspection and traceability substantially boosts GI supply chain profitability, our findings reveal that it does not increase farmers’ income. Interestingly, farmers are unlikely to prefer a singular reliance on quality inspection. Nevertheless, under specific market conditions, the adoption of blockchain presents a mutually beneficial scenario for both farmers and retailers. Based on these insights, we provide theoretical and practical guidance for optimizing quality management strategies in GI supply chains.
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区块链促进质量可追溯性和售前检查:影响地理标志供应链合同和农民质量决策
地理标志在全球经济中的作用日益突出,为市场提供杠杆作用,推动农业发展。然而,人们担心地理标志生产商优先考虑短期收益而不是长期质量保证,从而导致道德风险和质量退化。GI供应链中搭便车行为的普遍存在造成了集体行动困境,对产品质量管理提出了重大挑战。在本文中,我们探讨了将区块链技术和质量检查整合到GI供应链中,作为建立可靠和有效的质量管理措施的潜在解决方案。我们开发了一个两层模型,涉及一个零售商和两个农民,以分析质量检查和基于区块链的可追溯性对产品质量和不合格产品处理的影响。通过评估不同质量管理模式下零售商和农民的最优利润,确定了达到帕累托有效改进的策略。我们的研究调查了区块链促进的可追溯性和售前检查在塑造供应链合同、影响质量决策和增加区块链集成的整体附加值方面的功效。尽管质量检查在缺陷预防方面是有效的,但在孤立地实施时,它们不能提高总体收益。虽然检验和可追溯性的协同应用大大提高了农产品供应链的盈利能力,但我们的研究结果表明,它并没有增加农民的收入。有趣的是,农民不太可能喜欢单一依赖质量检验。然而,在特定的市场条件下,采用区块链对农民和零售商都是互利的。基于这些见解,我们为优化GI供应链的质量管理策略提供了理论和实践指导。
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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