THE IMPACT OF BIG DATA ANALYTICS ON SUPPLY CHAIN MANAGEMENT PRACTICES IN FAST MOVING CONSUMER GOODS INDUSTRY: EVIDENCE FROM DEVELOPING COUNTRIES

M. Sazu, S. Jahan
{"title":"THE IMPACT OF BIG DATA ANALYTICS ON SUPPLY CHAIN MANAGEMENT PRACTICES IN FAST MOVING CONSUMER GOODS INDUSTRY: EVIDENCE FROM DEVELOPING COUNTRIES","authors":"M. Sazu, S. Jahan","doi":"10.56249/ijbr.03.01.30","DOIUrl":null,"url":null,"abstract":"Leading trends over the last couple of years tend to be the increasing value of big data and analyzing the information through analytics. The information has tremendous value; fast moving consumer goods (FMCG) businesses must capitalize on the assortment of information by proper and in-depth evaluation with the usage of big data analytics (BDA). Objective: This article seeks to spotlight the changing dynamics of the SC managing atmosphere, to recognize the way the two leading trends will influence supply chain management (SCM) in future, to demonstrate the advantages which may be derived, and to generate suggestions to provide SC managers if BDA is adopted. Method: A survey was done amongst workers of multinational FMCG businesses across the world: the Americas, Asia etc. Systemic situation modeling is used in the quantitative evaluation to analyze the information gathered from surveys. The process of deriving value from the large quantities of information within the SCM is defined. Results: The adoption of BDA technologies can develop extensive value-added as well as a financial gain for companies and can quickly be a regular during the entire market. It is demonstrated, through examples, the way SCM location might be influenced by these brand-new developments and trends. Within the examples, BDA have been adopted, utilized, and applied effectively. Big data and analytics to draw out value coming from the information can create a big influence. Conclusion: It is clearly suggested chain administrators pay attention to these 2 trends, since better usage of BDA can ensure they hold abreast with innovations modifications, which could help improve company competitiveness. Keywords: Supply chain management; Big data analytics; FMCG; Developing countries","PeriodicalId":425224,"journal":{"name":"International Journal of Business Reflections","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Business Reflections","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56249/ijbr.03.01.30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

Leading trends over the last couple of years tend to be the increasing value of big data and analyzing the information through analytics. The information has tremendous value; fast moving consumer goods (FMCG) businesses must capitalize on the assortment of information by proper and in-depth evaluation with the usage of big data analytics (BDA). Objective: This article seeks to spotlight the changing dynamics of the SC managing atmosphere, to recognize the way the two leading trends will influence supply chain management (SCM) in future, to demonstrate the advantages which may be derived, and to generate suggestions to provide SC managers if BDA is adopted. Method: A survey was done amongst workers of multinational FMCG businesses across the world: the Americas, Asia etc. Systemic situation modeling is used in the quantitative evaluation to analyze the information gathered from surveys. The process of deriving value from the large quantities of information within the SCM is defined. Results: The adoption of BDA technologies can develop extensive value-added as well as a financial gain for companies and can quickly be a regular during the entire market. It is demonstrated, through examples, the way SCM location might be influenced by these brand-new developments and trends. Within the examples, BDA have been adopted, utilized, and applied effectively. Big data and analytics to draw out value coming from the information can create a big influence. Conclusion: It is clearly suggested chain administrators pay attention to these 2 trends, since better usage of BDA can ensure they hold abreast with innovations modifications, which could help improve company competitiveness. Keywords: Supply chain management; Big data analytics; FMCG; Developing countries
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
大数据分析对快速消费品行业供应链管理实践的影响:来自发展中国家的证据
过去几年的主要趋势是大数据的价值不断增加,并通过分析来分析信息。这些信息具有巨大的价值;快速消费品(FMCG)企业必须利用大数据分析(BDA)进行适当而深入的评估,充分利用各种各样的信息。目的:本文旨在关注供应链管理氛围的变化动态,认识到这两个主要趋势将如何影响未来的供应链管理(SCM),展示可能衍生的优势,并为采用BDA的供应链管理人员提供建议。方法:对世界各地的跨国快速消费品企业的员工进行调查:美洲,亚洲等。定量评价中采用系统态势模型,对调查所得信息进行分析。定义了从SCM中的大量信息中获取价值的过程。结果:采用BDA技术可以为企业带来广泛的增值和财务收益,并可以迅速成为整个市场的常态。通过实例说明了供应链管理选址可能受到这些全新发展和趋势的影响。在这些示例中,BDA已被有效地采用、利用和应用。从信息中提取价值的大数据和分析可以产生巨大的影响。结论:明确建议连锁管理者关注这两个趋势,因为更好地使用BDA可以确保他们跟上创新的变化,从而有助于提高公司的竞争力。关键词:供应链管理;大数据分析;快速消费品;发展中国家
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
自引率
0.00%
发文量
0
期刊最新文献
EMPLOYABILITY SKILLS FOR GRADUATES TO JOIN THE BANKING SECTOR IN PAKISTAN FOURIER CAUSALITY AND VOLATILITY SPILLOVER PERSPECTIVES TO ANALYZE THE EFFECT OF TERRORISM ON TURKISH AND EUROPEAN STOCK MARKETS DO DIFFERENT SECTORS AFFECT EQUITY RISK PREMIUMS IN EMERGING MARKETS? EVIDENCE FROM ASIA INFLUENCER MARKETING ON SOCIAL MEDIA: EXPLORING THE ROLE OF SOURCE CREDIBILITY IN GENERATING PARA SOCIAL RELATIONSHIPS AND PRODUCT INTEREST FACTORS INFLUENCING INFORMATION TECHNOLOGY INVESTMENTS IN SOUTH AFRICAN SMALL AND MEDIUM SIZE ENTERPRISES: A CONCEPTUAL 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