Bibliometric Computational Mapping Analysis of Publications on Supply Chain Management

This study uses a bibliometric approach to computational mapping analysis with VOSviewer to look at the evolution of supply chain management research. Using the ‘publish or perish’ reference manager tool, the Scopus database was queried for the article data. The search is directed by using the keyword "Supply Chain Management" in the article's title and abstract. There were 182 items that were deemed to be pertinent. The research period considered for the study is the most recent ten years of Scopus-indexed articles (2018 to 2023). The findings demonstrated that the terms "Supply Chain Management", “Retail” and "Supplier" can be used to categorize research on Supply Chain Management research. The term "supply chain performance" is connected to by 60 different sources, with a total link strength of 549.