Blockchain in the Food Industry: Integrating Machine Learning in a Systematic Literature Review

Q4 Computer Science
Juan M Gómez, Omar H Fares, Myuri Mohan, Seung Hwan (Mark) Lee
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引用次数: 0

Abstract

This study provides a systematic literature review of blockchain technology in the food industry with a supply chain lens. We identify primary and sub-themes, discuss implications and applications in terms of delivering value and propose literature-informed future research directions. This review uncovered three primary themes: a) Value Creation; b) Supply Chain Digitization; and c) Transformation. It demonstrates that digitalizing food networks with blockchain technology may benefit from increased stakeholder involvement and data visibility to gain competitive advantage. Beyond the theoretical contributions, this research provides a methodological contribution by demonstrating the uses of machine learning techniques to perform systematic literature reviews.
食品行业的区块链:在系统文献综述中整合机器学习
本研究从供应链的角度对食品行业的区块链技术进行了系统的文献综述。我们确定主要和次要主题,讨论在提供价值方面的影响和应用,并提出文献信息的未来研究方向。这次审查揭示了三个主要主题:a)价值创造;b)供应链数字化;c)变换。它表明,利用区块链技术实现数字化食品网络可能会受益于利益相关者的参与和数据可见性的增加,从而获得竞争优势。除了理论贡献之外,本研究还通过展示机器学习技术的使用来进行系统的文献综述,从而提供了方法论贡献。
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
International Journal of Information Technology and Management
International Journal of Information Technology and Management Computer Science-Computer Science Applications
CiteScore
1.10
自引率
0.00%
发文量
29
期刊介绍: The IJITM is a refereed and highly professional journal covering information technology, its evolution and future prospects. It addresses technological, managerial, political, economic and organisational aspects of the application of IT.
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