Purpose

Supply chains are facing several challenges due to disruptions and changing situations such as COVID-19 and the need for increased levels of resilience is more important than ever. This paper focuses on exploring the impact of artificial intelligence (AI) on supply chain resilience (SCR) through a review of the existing literature. To address the gap of AI on SCR, this study focused on answering the following two research questions: (1) What is the role of AI technologies in SCR? (2) What are the key ethical and social implications of AI that arise in the process of enhancing SCR?

Design/methodology/approach

This study collected relevant data available in the existing literature from peer-reviewed journals and articles on supply chain and AI. The study employed a systematic literature review (SLR) and qualitative thematic analysis to identify the key themes that generate relevant findings.

Findings

The study’s findings highlight that AI’s role in enhancing SCR is important in several areas, such as improved demand and supply forecasts, accurate problem-solving, increased efficiency of tasks and improved customer services, amongst others. However, AI does not come without limitations. Although it improves the resilience of supply chains, it also leads to ethical and social implications related to job displacement, privacy and security, biases and transparency.

Research limitations/implications

The study offers intriguing insights into closing the disparity between theory and practice, utilising a systematic approach to demonstrate how AI impacts the resilience level of supply chains.

Originality/value

This study presents the positive impact that AI technologies have on enhancing the resilience of supply chains. Although there are challenges and ethical and social implications because of AI implementations, supply chains benefit from the use of AI and big data.

中文翻译：

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人工智能对供应链弹性的作用

 目的

由于 COVID-19 等中断和不断变化的情况，供应链面临多项挑战，因此需要提高弹性水平比以往任何时候都更加重要。本文的重点是通过回顾现有文献来探索人工智能 （AI） 对供应链弹性 （SCR） 的影响。为了解决 AI 在 SCR 上的差距，本研究重点回答了以下两个研究问题：（1） AI 技术在 SCR 中的作用是什么？（2） 在增强 SCR 的过程中，AI 会出现哪些关键的道德和社会影响？

设计/方法/方法

本研究从同行评审期刊和供应链和 AI 文章中收集了现有文献中的相关数据。该研究采用系统文献综述 （SLR） 和定性主题分析来确定产生相关发现的关键主题。

 发现

该研究的结果强调，人工智能在增强 SCR 方面的作用在多个领域都很重要，例如改进供需预测、准确解决问题、提高任务效率和改善客户服务等。然而，AI 并非没有限制。虽然它提高了供应链的弹性，但它也导致了与失业、隐私和安全、偏见和透明度相关的道德和社会影响。

研究局限性/影响

该研究为缩小理论与实践之间的差距提供了有趣的见解，利用系统的方法展示了人工智能如何影响供应链的弹性水平。

 原创性/价值

本研究展示了人工智能技术对增强供应链弹性的积极影响。尽管 AI 的实施带来了挑战以及道德和社会影响，但供应链受益于 AI 和大数据的使用。