利用认知网络服务为中小企业提供供应链金融援助

Yingnan Ye, Jinghui Xiu
{"title":"利用认知网络服务为中小企业提供供应链金融援助","authors":"Yingnan Ye, Jinghui Xiu","doi":"10.4018/ijec.316662","DOIUrl":null,"url":null,"abstract":"When it comes to offering loans to small and medium-sized enterprises, the supply chain finance industries will produce cash flow and commodities (SMEs). The supply management is implemented with cognitive web service. Under the terms of information exchange, a credit risk assessment will be performed for supply chain finance with data analytics. In support vector machine technology, parameters are chosen using a genetic algorithm. To analyze the credit risk of support vector machines, a BP neural network was used to link the evolutionary algorithm with supply chain finance (GA-SVM-BPNN-SCF). Using a genetic algorithm and a support vector machine has overall classification accuracy equal to the BP neural network method. In addition, the role of the supply chain (SC) in mediating the link between SCF adoption, and the importance of supply chain effectiveness (SCE) is discussed. This research helps marketers and professionals better understand how to use SCF in their enterprises to reduce risk and improve SCF by providing data and connecting with financial institutions.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"1 1","pages":"1-22"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Supply Chain Finance Assistance for Small and Medium-Sized Enterprises Using Cognitive Web Services\",\"authors\":\"Yingnan Ye, Jinghui Xiu\",\"doi\":\"10.4018/ijec.316662\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When it comes to offering loans to small and medium-sized enterprises, the supply chain finance industries will produce cash flow and commodities (SMEs). The supply management is implemented with cognitive web service. Under the terms of information exchange, a credit risk assessment will be performed for supply chain finance with data analytics. In support vector machine technology, parameters are chosen using a genetic algorithm. To analyze the credit risk of support vector machines, a BP neural network was used to link the evolutionary algorithm with supply chain finance (GA-SVM-BPNN-SCF). Using a genetic algorithm and a support vector machine has overall classification accuracy equal to the BP neural network method. In addition, the role of the supply chain (SC) in mediating the link between SCF adoption, and the importance of supply chain effectiveness (SCE) is discussed. This research helps marketers and professionals better understand how to use SCF in their enterprises to reduce risk and improve SCF by providing data and connecting with financial institutions.\",\"PeriodicalId\":13957,\"journal\":{\"name\":\"Int. J. e Collab.\",\"volume\":\"1 1\",\"pages\":\"1-22\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. e Collab.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijec.316662\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. e Collab.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijec.316662","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在向中小企业提供贷款时,供应链金融行业会产生现金流和商品(中小企业)。供应管理采用认知web服务实现。根据信息交换条款,将利用数据分析对供应链金融进行信用风险评估。在支持向量机技术中,使用遗传算法选择参数。为了分析支持向量机的信用风险,采用BP神经网络将进化算法与供应链金融(GA-SVM-BPNN-SCF)联系起来。采用遗传算法和支持向量机的分类精度总体上与BP神经网络方法相当。此外,本文还讨论了供应链(SC)在供应链管理采用与供应链有效性(SCE)的重要性之间的中介作用。本研究帮助营销人员和专业人员更好地了解如何在企业中使用供应链金融,通过提供数据和与金融机构的联系来降低风险和改善供应链金融。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Supply Chain Finance Assistance for Small and Medium-Sized Enterprises Using Cognitive Web Services
When it comes to offering loans to small and medium-sized enterprises, the supply chain finance industries will produce cash flow and commodities (SMEs). The supply management is implemented with cognitive web service. Under the terms of information exchange, a credit risk assessment will be performed for supply chain finance with data analytics. In support vector machine technology, parameters are chosen using a genetic algorithm. To analyze the credit risk of support vector machines, a BP neural network was used to link the evolutionary algorithm with supply chain finance (GA-SVM-BPNN-SCF). Using a genetic algorithm and a support vector machine has overall classification accuracy equal to the BP neural network method. In addition, the role of the supply chain (SC) in mediating the link between SCF adoption, and the importance of supply chain effectiveness (SCE) is discussed. This research helps marketers and professionals better understand how to use SCF in their enterprises to reduce risk and improve SCF by providing data and connecting with financial institutions.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信