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Modeling the blockchain enabled traceability in agriculture supply chain

机译:在农业供应链中建模阻塞式可追溯性

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Blockchain Technology (BT) has led to a disruption in the supply chain by removing the trust related issues. Studies are being conducted worldwide to leverage the benefits provided by BT in improving the performance of the supply chains. The literature reveals BT to offer various benefits leading to improvements in the sustainable performance of the agriculture supply chains (ASC). It is expected that BT will bring a paradigm shift in the way the transactions are carried in the ASC by reducing the high number of intermediaries, delayed payments and high transaction lead times. India, a developing economy, caters to the food security needs of an ever-growing population and faces many challenges affecting ASC sustainability. It is therefore essential to adopt BT in the ASC to leverage the various benefits. In this study, we identify and establish the relationships between the enablers of BT adoption in ASC. Thirteen enablers were identified from the literature and validated by the experts before applying a combined Interpretive Structural Modelling (ISM) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology to envision the complex causal relationships between the identified BT enablers. The findings from the study suggest that, among the identified enablers, traceability was the most significant reason for BT implementation in ASC followed by auditability, immutability, and provenance. The findings of the study will help the practitioners to design the strategies for BT implementation in agriculture, creating a real-time data-driven ASC. The results will also help the policymakers in developing policies for faster implementation of BT ensuring food safety and sustainable ASCs.
机译:区块链技术(BT)通过删除信任相关问题导致供应链中断。在全球范围内进行研究,以利用BT提供的福利,从而提高供应链的表现。文献揭示了BT,以提供各种益处,从而改善农业供应链的可持续性能(ASC)。预计BT将通过减少高量的中介机构,延迟付款和高交易交易时间来促进交易中交易所载的范式转换。印度发展经济,迎合了不断增长的人口的粮食安全需求,并面临影响ASC可持续性的许多挑战。因此,必须在ASC中采用BT来利用各种益处。在这项研究中,我们识别并建立了ASC中BT采用推动者之间的关系。从文献中识别十三个推动者,并由专家验证,然后申请组合的解释结构建模(ISM)和决策试验和评估实验室(DEMATEL)方法来设想所识别的BT推动者之间的复杂因果关系。研究结果表明,在已识别的推动者中,可追溯性是AS中BT实施的最重要原因,其次是审计性,不断的能力和出处。该研究的调查结果将帮助从业者设计农业中BT实施的战略,创建实时数据驱动的ASC。结果还将有助于政策制定者在制定更快实施BT的政策,确保食品安全和可持续的ASC。

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