Big Data and Predictive Analysis Is Key to Superior Supply Chain Performance

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
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引用次数: 1

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.
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大数据和预测分析是卓越供应链绩效的关键
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。
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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.
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