The Use of Block Chain in the Informal Distributed Manufacturing Industry in Kenya

Q1 Multidisciplinary
Wahome E. Wangui, T. O. Ombati, Robert O. Oboko
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引用次数: 1

Abstract

In the last decade, research and development around distributed ledger technology (DLT) has grown exponentially. The financial services industry has been revolutionized by the explosion of cryptocurrencies like Bitcoin and Ethereum. Researchers have taken the principles used in these cryptocurrencies and are using them to develop other DLTs in various fields. This study explores how blockchain can be used to provide traceability, visibility, and transparency in the Kenyan informal distributed manufacturing industry. SOKO, an aggregator of artisans spread all over Nairobi, was the case study used. Purposive and convenience-based were the sampling methods used. 48 SOKO supply chain employees and active artisans were the sample population. Interviews and observations were data collection methods used. Content analysis, a qualitative data analysis method, was used to capture emerging and predetermined themes. Google sheets and Dovetail were the tools used for this study. This paper finds that the use of the immutability and proof of origin features of blockchain greatly enhances traceability within a supply chain. It is imperative that the granular information collected should be intuitive and accessible to all parties to enhance visibility. Amplified traceability and visibility greatly improved transparency and accountability within the SOKO ecosys-tem. A pivotal recommendation for future research is the usage of unit-based tagging technologies e.g. barcodes, QR codes, or RFID. The combined use of such technologies and blockchain would achieve the highest level of traceability, especially when working with diverse producers who produce similar products.
区块链在肯尼亚非正式分布式制造业中的应用
在过去十年中,围绕分布式账本技术(DLT)的研究和开发呈指数级增长。比特币和以太坊等加密货币的爆炸式增长彻底改变了金融服务行业。研究人员已经采用了这些加密货币中使用的原理,并正在使用它们来开发各个领域的其他dlt。本研究探讨了如何使用区块链在肯尼亚非正式分布式制造业中提供可追溯性、可见性和透明度。SOKO是一个聚集了遍布内罗毕的工匠的组织,它是案例研究的对象。采用目的性和便利性为基础的抽样方法。48名SOKO供应链员工和活跃的工匠是样本人群。访谈和观察是数据收集的方法。内容分析是一种定性数据分析方法,用于捕捉新出现的和预先确定的主题。Google sheets和Dovetail是这项研究使用的工具。本文发现,使用区块链的不变性和原产地证明特性大大增强了供应链内的可追溯性。收集的细粒度信息必须是直观的,所有各方都可以访问,以增强可见性。可追溯性和可见性的增强极大地提高了SOKO生态系统的透明度和问责制。对未来研究的一个关键建议是使用基于单元的标签技术,例如条形码、QR码或RFID。这些技术和区块链的结合使用将实现最高水平的可追溯性,特别是在与生产类似产品的不同生产商合作时。
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
CiteScore
4.50
自引率
0.00%
发文量
45
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