大数据和预测分析是卓越供应链绩效的关键

IF 0.8 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Web Services Research Pub Date : 2019-01-01 DOI:10.4018/978-1-5225-7501-6.ch078
Surajit Bag
{"title":"大数据和预测分析是卓越供应链绩效的关键","authors":"Surajit Bag","doi":"10.4018/978-1-5225-7501-6.ch078","DOIUrl":null,"url":null,"abstract":"The study considers samples from the South African engineering companies who are strategic suppliers to mining and minerals industry and further explores the uncertainties persisting in the supply chain network. Further investigation was done to understand the role of big data and predictive analysis (BDPA) in managing the supply uncertainties. The paper finally uses partial least square regression analysis to study the relationship among buyer-supplier relationship, big data and predictive analysis and supply chain performance. The analysis supported the second and third hypothesis. Therefore, it is established that firstly, there is a positive relationship between big data, predictive analysis and supply chain performance and secondly, there is a positive relationship between and big data, predictive analysis and buyer-supplier relationship. The study is a unique contribution to the current literature by shedding light on the practical problems persisting in the South African context.","PeriodicalId":54936,"journal":{"name":"International Journal of Web Services Research","volume":"149 ","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Big Data and Predictive Analysis Is Key to Superior Supply Chain Performance\",\"authors\":\"Surajit Bag\",\"doi\":\"10.4018/978-1-5225-7501-6.ch078\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study considers samples from the South African engineering companies who are strategic suppliers to mining and minerals industry and further explores the uncertainties persisting in the supply chain network. Further investigation was done to understand the role of big data and predictive analysis (BDPA) in managing the supply uncertainties. The paper finally uses partial least square regression analysis to study the relationship among buyer-supplier relationship, big data and predictive analysis and supply chain performance. The analysis supported the second and third hypothesis. Therefore, it is established that firstly, there is a positive relationship between big data, predictive analysis and supply chain performance and secondly, there is a positive relationship between and big data, predictive analysis and buyer-supplier relationship. The study is a unique contribution to the current literature by shedding light on the practical problems persisting in the South African context.\",\"PeriodicalId\":54936,\"journal\":{\"name\":\"International Journal of Web Services Research\",\"volume\":\"149 \",\"pages\":\"\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Web Services Research\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.4018/978-1-5225-7501-6.ch078\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Web Services Research","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.4018/978-1-5225-7501-6.ch078","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 1

摘要

本研究以南非工程公司为样本,这些公司是矿业和矿产行业的战略供应商,并进一步探讨了供应链网络中持续存在的不确定性。为了进一步了解大数据和预测分析(BDPA)在管理供应不确定性方面的作用,我们进行了进一步的调查。最后利用偏最小二乘回归分析研究了供需关系、大数据和预测分析与供应链绩效之间的关系。分析结果支持第二和第三个假设。因此,首先,大数据、预测分析与供应链绩效之间存在正相关关系;其次,大数据、预测分析与买方-供应商关系之间存在正相关关系。这项研究是对当前文献的独特贡献,它揭示了南非背景下持续存在的实际问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Big Data and Predictive Analysis Is Key to Superior Supply Chain Performance
The study considers samples from the South African engineering companies who are strategic suppliers to mining and minerals industry and further explores the uncertainties persisting in the supply chain network. Further investigation was done to understand the role of big data and predictive analysis (BDPA) in managing the supply uncertainties. The paper finally uses partial least square regression analysis to study the relationship among buyer-supplier relationship, big data and predictive analysis and supply chain performance. The analysis supported the second and third hypothesis. Therefore, it is established that firstly, there is a positive relationship between big data, predictive analysis and supply chain performance and secondly, there is a positive relationship between and big data, predictive analysis and buyer-supplier relationship. The study is a unique contribution to the current literature by shedding light on the practical problems persisting in the South African context.
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
International Journal of Web Services Research
International Journal of Web Services Research 工程技术-计算机:软件工程
CiteScore
2.40
自引率
0.00%
发文量
19
审稿时长
>12 weeks
期刊介绍: The International Journal of Web Services Research (IJWSR) is the first refereed, international publication featuring the latest research findings and industry solutions involving all aspects of Web services technology. This journal covers advancements, standards, and practices of Web services, as well as identifies emerging research topics and defines the future of Web services on grid computing, multimedia, and communication. IJWSR provides an open, formal publication for high quality articles developed by theoreticians, educators, developers, researchers, and practitioners for those desiring to stay abreast of challenges in Web services technology.
期刊最新文献
A Quasi-Newton Matrix Factorization-Based Model for Recommendation A Service Recommendation Algorithm Based on Self-Attention Mechanism and DeepFM Secure Cloud Storage and Retrieval of Personal Health Data From Smart Wearable Devices With Privacy-Preserving Techniques User Interaction Within Online Innovation Communities Research on a New Reconstruction Technology and Evaluation Method for 3D Digital Core Pore Structure
×
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