2692-2967ISSN (Online)
2770-0216ISSN (Print)
Volume 10 , Issue 1 , PP: 25-40, 2023 | Cite this article as | XML | Html | PDF | Full Length Article
Wafaa A. Saleh 1 * , Sherine M. Abdelkader 2 , Heba Rashad 3 , Amal Abdelgawad 4
Doi: https://doi.org/10.54216/AJBOR.100103
The integration of the Internet of Things (IoT) and Big Data Analytics (BDA) has brought about a revolution in Green Supply Chain Management (GSCM). In particular, it has enabled the optimization of many aspects of the supply chain (SC), including transportation, inventory management, and customer service. The application of BDA in IoT-enabled GSCM is receiving a lot of attention because it has the capacity to assist businesses become more cost-effective and environmentally sustainable to make more informed decisions. By identifying the inefficiencies in the supply chain and take corrective action. With the advent of the IoT, businesses are now able to get a great deal of information from sensors that are installed in different parts of their SC, including transportation vehicles, warehouses, and factories. This data can be leveraged for a variety of purposes, including optimizing the SC for sustainability and reducing its environmental impact. There are also challenges associated with BDA in IoT-enabled GSCM. The volume of data that needs to be processed presents the biggest obstacles. This requires specialized tools and expertise in data management and analytics. Despite these difficulties, technology has the power to completely alter how firms conduct their operations. This paper presents an overview about BDA in IoT-enabled GSCM. The review highlights the benefits and challenges in adopting BDA in IoT-enabled GSCM, the key technologies involved, and the various applications of BDA in IoT-GSCM. Finally, provides insights into the future directions of research in this area.
Big Data Analytics (BDA) , Internet of Things (IoT) , Green Supply Chain Management (GSCM).
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