Bibliometric Computational Mapping Analysis of Publications on Supply Chain Management

Girang Razati; Ria Arifianti; Anang Muftiadi; Margo Purnomo; Juliana Juliana; Ridwan Lubis; Ade Nurhayati Kusumadewi; Indra Maulana

doi:10.61707/bb3t9z03

Authors

Girang Razati Faculty of social and Political Science, Universitas Padjajaran, Bandung , Indonesia
Ria Arifianti Faculty of social and Political Science, Universitas Padjajaran, Bandung , Indonesia
Anang Muftiadi Faculty of social and Political Science, Universitas Padjajaran, Bandung , Indonesia
Margo Purnomo Faculty of social and Political Science, Universitas Padjajaran, Bandung , Indonesia
Juliana Juliana Faculty Economics and Busines Education, Universitas Pendidikan Indonesia, Bandung Indonesia
Ridwan Lubis Faculty Economics and Busines Education, Universitas Pendidikan Indonesia, Bandung Indonesia
Ade Nurhayati Kusumadewi Faculty Economics and Busnines,Unisversitas Islam Muttaqien, Purwakarta, Indonesia
Indra Maulana Faculty Economics and Busnines,Unisversitas Islam Muttaqien, Purwakarta, Indonesia

DOI:

https://doi.org/10.61707/bb3t9z03

Keywords:

Bibliometric Analysis, Supply Chain Management, Supplier, Retail

Abstract

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.