Artificial intelligence for supply chain management: Disruptive innovation or innovative disruption?

IF 10.2 2区管理学 Q1 MANAGEMENT

Journal of Supply Chain Management Pub Date : 2023-06-04 DOI:10.1111/jscm.12304

Christian Hendriksen

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引用次数: 5

Abstract

This article examines the theoretical and practical implications of artificial intelligence (AI) integration in supply chain management (SCM). AI has developed dramatically in recent years, embodied by the newest generation of large language models (LLMs) that exhibit human-like capabilities in various domains. However, SCM as a discipline seems unprepared for this potential revolution, as existing perspectives do not capture the potential for disruption offered by AI tools. Moreover, AI integration in SCM is not only a technical but also a social process, influenced by human sensemaking and interpretation of AI systems. This article offers a novel theoretical lens called the AI Integration (AII) framework, which considers two key dimensions: the level of AI integration across the supply chain and the role of AI in decision-making. It also incorporates human meaning-making as an overlaying factor that shapes AI integration and disruption dynamics. The article demonstrates that different ways of integrating AI will lead to different kinds of disruptions, both in theory and in practice. It also discusses the implications of AI integration for SCM theorizing and practice, highlighting the need for cross-disciplinary collaboration and sociotechnical perspectives.

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供应链管理中的人工智能:颠覆性创新还是创新性破坏?

本文探讨了人工智能(AI)集成在供应链管理(SCM)中的理论和实践意义。人工智能近年来发展迅速，体现在最新一代的大型语言模型(llm)，在各个领域表现出类似人类的能力。然而，SCM作为一门学科似乎对这种潜在的革命毫无准备，因为现有的观点并没有捕捉到人工智能工具带来的潜在破坏。此外，人工智能在SCM中的集成不仅是一个技术过程，也是一个社会过程，受人工智能系统的人类意义和解释的影响。本文提供了一个新的理论视角，称为人工智能集成(AII)框架，它考虑了两个关键维度:整个供应链的人工智能集成水平和人工智能在决策中的作用。它还将人类的意义创造作为塑造人工智能整合和破坏动态的叠加因素。文章表明，整合人工智能的不同方式将导致理论和实践中不同类型的破坏。它还讨论了人工智能集成对供应链管理理论和实践的影响，强调了跨学科合作和社会技术观点的需要。

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 Supply Chain Management MANAGEMENT-

CiteScore

16.00

自引率

6.60%

发文量

期刊介绍： ournal of Supply Chain Management Mission: The mission of the Journal of Supply Chain Management (JSCM) is to be the premier choice among supply chain management scholars from various disciplines. It aims to attract high-quality, impactful behavioral research that focuses on theory building and employs rigorous empirical methodologies. Article Requirements: An article published in JSCM must make a significant contribution to supply chain management theory. This contribution can be achieved through either an inductive, theory-building process or a deductive, theory-testing approach. This contribution may manifest in various ways, such as falsification of conventional understanding, theory-building through conceptual development, inductive or qualitative research, initial empirical testing of a theory, theoretically-based meta-analysis, or constructive replication that clarifies the boundaries or range of a theory. Theoretical Contribution: Manuscripts should explicitly convey the theoretical contribution relative to the existing supply chain management literature, and when appropriate, to the literature outside of supply chain management (e.g., management theory, psychology, economics). Empirical Contribution: Manuscripts published in JSCM must also provide strong empirical contributions. While conceptual manuscripts are welcomed, they must significantly advance theory in the field of supply chain management and be firmly grounded in existing theory and relevant literature. For empirical manuscripts, authors must adequately assess validity, which is essential for empirical research, whether quantitative or qualitative.