Abstract

This study conducted a comprehensive review of big data supply chain analytics (BDSCA). The paper explored the application of big data in supply chain management and its benefits for organisations and society. The paper also examined the ethical, security, privacy and operational challenges of big data techniques, as well as the potential reputational damages to businesses. The review outlined four principal facets, namely: Big data analytics, applications, ethics and privacy issues, and how organizations employed this emerging tool to anticipate and even predict the future and direct their operations. These principle facets are built across the multiple levels and unique conceptual standpoints indicated by 7 themes and 14 sub-themes. These themes were generated based on 120 articles (2005−2020) drawn mainly from leading academic journals. Overall, there is a considerable consensus across current literature that big data analytics extend far beyond just reinventing the supply chain. It has the potential to support more responsive next-generation of global companies who are operating in an increasingly challenging and uncertain environment.

摘要

本研究对大数据供应链分析 (BDSCA) 进行了全面审查。本文探讨了大数据在供应链管理中的应用及其对组织和社会的益处。该论文还研究了大数据技术的道德、安全、隐私和运营挑战，以及对企业的潜在声誉损害。该审查概述了四个主要方面，即：大数据分析、应用程序、道德和隐私问题，以及组织如何使用这一新兴工具来预测甚至预测未来并指导其运营。这些主要方面建立在 7 个主题和 14 个子主题所指示的多个层次和独特的概念立场上。这些主题是根据主要来自领先学术期刊的 120 篇文章（2005-2020 年）生成的。全面的，当前文献中有一个相当大的共识，即大数据分析远远超出了重塑供应链的范围。它有可能支持在日益具有挑战性和不确定性的环境中运营的下一代全球公司反应更快。