Supply chain cost management: An integrated systematic review and bibliometric analysis

Purpose: The goal of this study is to perform a thorough bibliometric analysis of the academic literature on supply chain costs and logistics, with a focus on authorship networks, citation patterns, and publication trends. Through the use of sophisticated bibliometric techniques, the goal is to map the field's intellectual landscape and highlight important contributors, emerging themes, and understudied areas.Design, methodology, and approach: A systematic review of 335 peer-reviewed articles from the Scopus database that were published between 2010 and 2024 served as the basis for the analysis. Publications in English from the business, management, and accounting subject areas that specifically address supply chain cost and logistics are included in the dataset. VOS viewer was used for bibliometric mapping and visualisation. The analysis encompasses contributions from 57 countries, providing a global perspective on the research landscape.Findings: More than 897 authors participated, 1121 unique keywords were used, and 14,447 references were found in 151 scholarly journals, according to the bibliometric review. The compilation of this information provides insightful information about the field's scholarly influence and thematic development. The study highlights significant research gaps in the areas of transportation, optimisation, and supply chain cost management-all of which are essential to comprehending and controlling overall supply chain costs.Originality/value: By identifying important knowledge clusters and research gaps in the literature on logistics and supply chain costs, this study makes a substantial contribution to the academic community. It is a useful tool for academics and professionals who want to learn more about supply chain cost dynamics. The study also enriches the conversation on efficient and cost-effective supply chain strategies by highlighting trends in global contributions from 57 countries and identifying priority areas for further research.