The role of artificial intelligence in the supply chain finance innovation process

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
{"title":"The role of artificial intelligence in the supply chain finance innovation process","authors":"Alessio Ronchini, Michela Guida, Antonella Moretto, Federico Caniato","doi":"10.1007/s12063-024-00492-2","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":46120,"journal":{"name":"Operations Management Research","volume":"358 1","pages":""},"PeriodicalIF":6.9000,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Operations Management Research","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1007/s12063-024-00492-2","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0

Abstract

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.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
人工智能在供应链金融创新过程中的作用
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。
求助全文
约1分钟内获得全文 去求助
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.
期刊最新文献
Towards supply chain resilience: A structured process approach Strategic maintenance planning in the digital era: a hybrid approach merging Reliability-Centered Maintenance with digitalization opportunities Uncovering the role of sustainable value chain and life cycle management toward sustainable operations in electricity production technologies A stochastic chance-constraint framework for poultry planning and egg inventory management A novel two-stage stochastic programming model to design an integrated disaster relief supply chain network-a case study
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1