人工智能在供应链金融创新过程中的作用

IF 6.9 2区 管理学 Q1 MANAGEMENT Operations Management Research Pub Date : 2024-06-20 DOI:10.1007/s12063-024-00492-2
Alessio Ronchini, Michela Guida, Antonella Moretto, Federico Caniato
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引用次数: 0

摘要

本文通过十个案例研究,从多个利益相关者(买方、供应商和供应链金融提供商)的角度探讨了供应链金融(SCF)的创新过程。目的是确定受人工智能(AI)影响的流程阶段,以及人工智能的优势和挑战。人工智能影响创新流程启动阶段的多项活动,支持 SCF 供应商的商业活动,并有助于评估买方的信用度、检测欺诈或提出正确的 SCF 解决方案。在实施阶段,人工智能支持评估供应商的信用等级,对供应商进行分类和入职,并加快行政工作。本研究提出了 9 个命题,通过提供有关人工智能在 SCF 创新过程中的作用的实证证据,并确定由此给所有参与者带来的益处和挑战,为 SCF 相关理论提供了支持。
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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The role of artificial intelligence in the supply chain finance innovation process

Leveraging on ten case studies, the paper examines the Supply Chain Finance (SCF) innovation process through a multiple stakeholder perspective (buyers, suppliers, and SCF providers). The aim is to identify the phases of the process impacted by Artificial Intelligence (AI), as well as its benefits and challenges. AI affects several activities in the Initiation phase of the innovation process, supporting the SCF provider’s commercial activities and contributing to assessing the buyer’s creditworthiness, detecting fraud, or proposing the right SCF solution. In the Implementation phase, AI supports assessing the supplier’s credit rating, categorizing and onboarding suppliers, and fastening the administrative tasks. Formulating 9 propositions, this study supports the theory related to the SCF by providing empirical evidence about the role of AI in the SCF innovation process and also identifying the resulting benefits and challenges for all the actors involved.

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来源期刊
CiteScore
6.20
自引率
23.30%
发文量
104
期刊介绍: Operations Management Research is a peer-reviewed journal that focuses on rapidly publishing high-quality research in the field of operations management. It aims to advance both the theory and practice of operations management across a wide range of topics and research paradigms. The journal covers all aspects of operations management, including manufacturing, supply chain, health care, and service operations. It welcomes various research methodologies, such as case studies, action research, surveys, mathematical modeling, and simulation. The goal of Operations Management Research is to promote research that enhances both the theory and practice of operations management, as it is an applied discipline. The journal also publishes Academic Notes, which are special papers that address research methodologies, the direction of the operations management field, and other topics of interest to academicians. Additionally, there is a demand for shorter and more focused research articles in operations management, which this journal aims to fulfill.
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