Purpose

In the uncertain business environment, the supply chains are under pressure to balance routine operations and prepare for adverse events. Consequently, this research investigates how artificial intelligence is used to enable resilience among supply chains.

Design/methodology/approach

This study first analyzed the relationship among different characteristics of AI-enabled supply chain and how these elements take it towards resilience by collecting the responses from 27 supply chain professionals. Furthermore, to validate the results, an empirical analysis is conducted where the responses from 231 supply chain professionals are collected.

Findings

Findings indicate that the disruption impact of an event depends on the degree of transparency kept and provided to all supply chain partners. This is further validated through empirical study, where the impact of transparency facilitates the mass customization of the procurement strategy to Last Mile Delivery to reduce the impact of disruption. Hence, AI facilitates resilience in the supply chain.

Originality/value

This study adds to the domain of supply chain and information systems management by identifying the driving and dependent elements that AI facilitates and further validating the findings and structure of the elements through empirical analysis. The research also provides meaningful implications for theory and practice.

中文翻译：

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构建人工智能支持的弹性供应链：多种方法

目的

在不确定的商业环境下，供应链面临着平衡日常运营和应对不利事件的压力。因此，本研究调查了如何使用人工智能来增强供应链的弹性。

设计/方法论/途径

本研究首先收集了 27 名供应链专业人士的反馈，分析了人工智能供应链不同特征之间的关系，以及这些要素如何使其具有弹性。此外，为了验证结果，我们收集了 231 名供应链专业人士的反馈，进行了实证分析。

发现

调查结果表明，事件的破坏影响取决于向所有供应链合作伙伴保留和提供的透明度程度。这通过实证研究得到进一步验证，其中透明度的影响促进了最后一英里交付采购策略的大规模定制，以减少中断的影响。因此，人工智能促进了供应链的弹性。

原创性/价值

这项研究通过识别人工智能促进的驱动和依赖要素，并通过实证分析进一步验证这些要素的发现和结构，从而扩展了供应链和信息系统管理领域。该研究还为理论和实践提供了有意义的启示。