Big data and sustainable supply chain management of hypermarkets in Jordan: An experimental study using structural equation modeling approach

• Published in: Uncertain supply chain management 2023-06, Vol.11 (3), p.1111-1120
• Main Authors: Bader, Dojanah Mohammad Kadri, Al-Alwan, Mohammad Amhamoud Mked, Twaissi, Naseem Mohammad
• Format: Article
• Language: English
• ISSN: 2291-6822; 2291-6830
• DOI: 10.5267/j.uscm.2023.4.011

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.