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.
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.