{"title":"Big data and sustainable supply chain management of hypermarkets in Jordan: An experimental study using structural equation modeling approach","authors":"Dojanah Bader, M. Al-Alwan, N. Twaissi","doi":"10.5267/j.uscm.2023.4.011","DOIUrl":null,"url":null,"abstract":"The objective of the study is to identify the impact of big data on sustainable supply chain management. The current research was conducted on hypermarkets in Jordan. Many of these hypermarket brands are widely scattered in Jordan, for instance, Carrefour, Kareem, Safeway and more. Accordingly, the target population in the current research was hypermarkets managers in Jordan as they are responsible for formulating such strategies in the companies they work for. A convenience sample was selected from the target population that included 770 managers based on the sample size formula. The study hypotheses were tested by covariance based structural equation modeling (CB-SEM). The study results showed the impact of each big data dimension on sustainable supply chain management. Based on this result, the researchers recommend the hypermarkets in Jordan to use modern and diverse methods for accurate collection of reliable data and save it in organized ways, and to employ advanced programs to analyze it and extract information of high value.","PeriodicalId":23429,"journal":{"name":"Uncertain Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Uncertain Supply Chain Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5267/j.uscm.2023.4.011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Decision Sciences","Score":null,"Total":0}
引用次数: 1
Abstract
The objective of the study is to identify the impact of big data on sustainable supply chain management. The current research was conducted on hypermarkets in Jordan. Many of these hypermarket brands are widely scattered in Jordan, for instance, Carrefour, Kareem, Safeway and more. Accordingly, the target population in the current research was hypermarkets managers in Jordan as they are responsible for formulating such strategies in the companies they work for. A convenience sample was selected from the target population that included 770 managers based on the sample size formula. The study hypotheses were tested by covariance based structural equation modeling (CB-SEM). The study results showed the impact of each big data dimension on sustainable supply chain management. Based on this result, the researchers recommend the hypermarkets in Jordan to use modern and diverse methods for accurate collection of reliable data and save it in organized ways, and to employ advanced programs to analyze it and extract information of high value.
期刊介绍:
Supply chain management (SCM) plays an essential role in managing the movement of raw materials into an organization, certain issues of the internal processing of materials into finished goods, and the movement of finished products out of the organization for end-consumer delivery. The goal of SCM is to improve trust and collaboration among supply chain partners and to improve inventory visibility. However, many SCM problems deal with uncertain events such as uncertainty in demand, supply, quality, price, etc. This forum is dedicated to all scholars who wish to share their ideas about uncertainty in SCM problems. Uncertain supply chain management is a quarterly publication dedicated to all scientists in all over the world who wish to share their experiences and knowledge in this field. Our policy is to perform a peer review on all submitted articles and publishes original and high quality articles.