Big data utilisation and its effect on supply chain resilience in Emirati companies

IF 4.5 3区 管理学 Q1 MANAGEMENT
Ioannis Manikas, B. Sundarakani, Mohamed Shehabeldin
{"title":"Big data utilisation and its effect on supply chain resilience in Emirati companies","authors":"Ioannis Manikas, B. Sundarakani, Mohamed Shehabeldin","doi":"10.1080/13675567.2022.2052825","DOIUrl":null,"url":null,"abstract":"ABSTRACT This study investigates the impact of the effects of big data analytics on supply chain resilience. The Big Data Analytics (BDA) expertise of management and personnel, as well as the Supply Chain (SC) resilience dimensions of preparedness and agility are considered in this research. This study tests five main hypotheses using data obtained from an empirical survey collected from 128 Emirati companies, which were analysed through the partial least square method of structural equation modelling (PLS-SEM) using SmartPLS 3.2. The measurement model created was reflective and contained a total of 31 construct indicators. The results showed that the construct of ‘big data analytics capability of planning' as demonstrated by expertise of Emirati companies in the UAE management has a significantly positive influence on SC preparedness. In addition, SC preparedness has a direct, positive influence on SC agility which are preparedness for the companies towards digital transformation initiative in the UAE. The study will be helpful for the logistics industry of the UAE and worldwide to understand the need and importance of the BDA aspects and related capability planning for business resilience at times of such global pandemic.","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":null,"pages":null},"PeriodicalIF":4.5000,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Logistics Research and Applications","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1080/13675567.2022.2052825","RegionNum":3,"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: 11

Abstract

ABSTRACT This study investigates the impact of the effects of big data analytics on supply chain resilience. The Big Data Analytics (BDA) expertise of management and personnel, as well as the Supply Chain (SC) resilience dimensions of preparedness and agility are considered in this research. This study tests five main hypotheses using data obtained from an empirical survey collected from 128 Emirati companies, which were analysed through the partial least square method of structural equation modelling (PLS-SEM) using SmartPLS 3.2. The measurement model created was reflective and contained a total of 31 construct indicators. The results showed that the construct of ‘big data analytics capability of planning' as demonstrated by expertise of Emirati companies in the UAE management has a significantly positive influence on SC preparedness. In addition, SC preparedness has a direct, positive influence on SC agility which are preparedness for the companies towards digital transformation initiative in the UAE. The study will be helpful for the logistics industry of the UAE and worldwide to understand the need and importance of the BDA aspects and related capability planning for business resilience at times of such global pandemic.
大数据利用率及其对阿联酋公司供应链弹性的影响
摘要本研究调查了大数据分析对供应链弹性的影响。本研究考虑了管理层和人员的大数据分析(BDA)专业知识,以及供应链(SC)准备和灵活性的弹性维度。本研究使用从128家阿联酋公司收集的实证调查数据测试了五个主要假设,这些数据通过结构方程建模的偏最小二乘法(PLS-SEM)使用SmartPLS 3.2进行分析。创建的测量模型具有反映性,共包含31个结构指标。结果表明,阿联酋公司在阿联酋管理层的专业知识所表明的“规划的大数据分析能力”的构建对供应链准备工作有着显著的积极影响。此外,供应链准备工作对供应链敏捷性有着直接、积极的影响,这是公司为阿联酋数字化转型计划做好的准备。这项研究将有助于阿联酋和世界各地的物流业了解BDA方面的需求和重要性,以及在此类全球疫情期间为业务恢复力进行相关能力规划。
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 求助全文
来源期刊
CiteScore
13.70
自引率
9.10%
发文量
71
期刊介绍: International Journal of Logistics: Research & Applications publishes original and challenging work that has a clear applicability to the business world. As a result the journal concentrates on papers of an academic journal standard but aimed at the practitioner as much as the academic. High quality contributions are therefore welcomed from both academics and professionals working in the field of logistics and supply chain management. Papers should further our understanding of logistics and supply chain management and make a significant original contribution to knowledge. In this context the term "logistics" is taken in its broadest context as "the management of processes, flow of materials and associated information along the entire supply chain.
×
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:481959085
Book学术官方微信