Building artificial intelligence enabled resilient supply chain: a multi-method approach

IF 7.4 3区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Journal of Enterprise Information Management Pub Date : 2023-05-02 DOI:10.1108/jeim-09-2022-0326

R. Singh, S. Modgil, A. Shore

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引用次数: 2

Abstract

PurposeIn 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/approachThis 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.FindingsFindings 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/valueThis 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.

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构建人工智能支持的弹性供应链:多方法方法

目的在不确定的商业环境中，供应链面临着平衡日常运营和为不良事件做好准备的压力。因此，本研究调查了如何使用人工智能来实现供应链之间的弹性。设计/方法论/方法本研究首先通过收集27名供应链专业人士的回复，分析了人工智能驱动的供应链不同特征之间的关系，以及这些因素如何使其具有弹性。此外，为了验证结果，进行了实证分析，收集了231名供应链专业人士的回复。调查结果表明，事件的破坏影响取决于保持并提供给所有供应链合作伙伴的透明度。这一点通过实证研究得到了进一步验证，其中透明度的影响有助于采购战略的大规模定制，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/价值本研究通过识别人工智能促进的驱动因素和依赖因素，并通过实证分析进一步验证这些因素的发现和结构，为供应链和信息系统管理领域增添了新的内容。该研究也为理论和实践提供了有意义的启示。

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

Journal of Enterprise Information Management Multiple-

CiteScore

14.80

自引率

6.20%

发文量

期刊介绍： The Journal of Enterprise Information Management (JEIM) is a significant contributor to the normative literature, offering both conceptual and practical insights supported by innovative discoveries that enrich the existing body of knowledge. Within its pages, JEIM presents research findings sourced from globally renowned experts. These contributions encompass scholarly examinations of cutting-edge theories and practices originating from leading research institutions. Additionally, the journal features inputs from senior business executives and consultants, who share their insights gleaned from specific enterprise case studies. Through these reports, readers benefit from a comparative analysis of different environmental contexts, facilitating valuable learning experiences. JEIM's distinctive blend of theoretical analysis and practical application fosters comprehensive discussions on commercial discoveries. This approach enhances the audience's comprehension of contemporary, applied, and rigorous information management practices, which extend across entire enterprises and their intricate supply chains.