Generative AI-enabled supply chain management: The critical role of coordination and dynamism

IF 9.8 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL International Journal of Production Economics Pub Date : 2024-08-28 DOI:10.1016/j.ijpe.2024.109388
Lixu Li , Yaoqi Liu , Yong Jin , T.C. Edwin Cheng , Qianjun Zhang
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Abstract

Generative AI has exerted a transformative impact on various industries. However, the effective integration of generative AI into supply chain management (SCM) remains unclear. To address this, we employ the relational view to examine the relationships among generative AI usage depth, supply chain coordination, and supply chain performance at different levels of supply chain dynamism. We analyze survey data from 236 Chinese firms that have implemented generative AI to varying extents. We identify a positive association between generative AI usage depth and supply chain performance. Two types of supply chain coordination—supplier and buyer—play crucial mediating roles in connecting the aforementioned positive association. Surprisingly, supply chain dynamism amplifies the mediating roles of supplier and buyer coordination. We contribute to the existing AI-enabled SCM research by providing empirical support for the moderated mediation mechanism underlying the generative AI usage depth-supply chain performance link. We also offer practical guidelines for firms aiming to strategically leverage generative AI.

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生成式人工智能供应链管理:协调和活力的关键作用
生成式人工智能已对各行各业产生了变革性影响。然而,如何将人工智能有效融入供应链管理(SCM)仍不明确。为了解决这个问题,我们采用关系视角来研究不同供应链动态水平下的生成式人工智能使用深度、供应链协调和供应链绩效之间的关系。我们分析了 236 家中国企业的调查数据,这些企业在不同程度上实施了生成式人工智能。我们发现,生成式人工智能的使用深度与供应链绩效之间存在正相关。在连接上述正相关关系的过程中,两种类型的供应链协调--供应商和买方--起到了至关重要的中介作用。令人惊讶的是,供应链的动态性放大了供应商和买方协调的中介作用。我们为人工智能使用深度-供应链绩效联系背后的调节中介机制提供了实证支持,从而为现有的人工智能支持的供应链管理研究做出了贡献。我们还为旨在战略性地利用人工智能的企业提供了实用指南。
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来源期刊
International Journal of Production Economics
International Journal of Production Economics 管理科学-工程:工业
CiteScore
21.40
自引率
7.50%
发文量
266
审稿时长
52 days
期刊介绍: The International Journal of Production Economics focuses on the interface between engineering and management. It covers all aspects of manufacturing and process industries, as well as production in general. The journal is interdisciplinary, considering activities throughout the product life cycle and material flow cycle. It aims to disseminate knowledge for improving industrial practice and strengthening the theoretical base for decision making. The journal serves as a forum for exchanging ideas and presenting new developments in theory and application, combining academic standards with practical value for industrial applications.
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