The COVID-19 pandemic has severely impacted the global social sustainability of the supply
chains, pushing them towards a more flexible management approach. However, there is a …

Data quantity generated in supply chains expands as supply chain processes get more
complex. Companies can leverage such data and gain valuable insight into their processes …

Big data analysis (BDA) can increase the capability of supply chain analysis of
manufacturing companies. Therefore, many manufacturing companies want to use BDA, but …

Structural equation modeling is many dimensions are a statistic is the technique of analysis,
which is structural Used to analyze relationships. This technique includes factor analysis …

The objective of this paper is to investigate the factors that influence the adoption of Big Data
Analytics (BDA) in manufacturing companies and examine the impact of BDA adoption on …

E-commerce is one of the industries most affected by big data, from collection to analytics in
the highly competitive market. Previous research on big data analytics in E-commerce …

Large-scale businesses in industrialised nations planned and implemented green
manufacturing techniques. This novel study aims to identify, analyse, rank, and model the …

With the advent of cloud manufacturing (CM), alongside the maturity of development
approaches and systems in the manufacturing industry, has led to the integration of these …

Managing the customer-supplier relationship in procurement has always been characterized
by its complexity, especially during crises. Large enterprises manage to mitigate risk thanks …

Warehouse performance has a major role in improving the effectiveness of supply chain
considering especially the location where the warehousing activities occur. Warehouse …