Artificial Intelligence and Big Data Analytics in Green Supply Chain Management

Abstract

Technological advancement has led to a surge in their integration into various organizations spread across different economic sectors. Advanced technologies—BDA, IoT, machine learning, and AI—have been explored in terms of their benefits to the development of supply chain management (SCM), primarily environmental (green) practices. This research aims to generate existing evidence to comprehend how BDA and AI influence the development of GSCM. A systematic search strategy was developed using Google Scholar, Frontiers, and Science Direct databases. Ten quantitative studies identified various ways BDA and AI could be used in the supply chain, which foster GSCM development and competitive advantage maintenance in the long run. Results showed that by using the demonstrated medium, supply chain practitioners and supply chain managers will reduce cost overruns and waste, thus improving the effectiveness and efficiencies of the supply chain. GSCM development may lead to the recurrent use of recycling, renewing, and reusing resources within the chain network.