Big Data Analytics in Supply Chain Management: Bibliometric and Systematic Literature Review

Abstract

Supply chain is the backbone of a successful operation of any organization. An due to its multistate operation model and multi stakeholder involvement a lot of data is being captured and created in a matured supply chain process. From last one and half decade researchers are leveraging Big Data analysis to bring out insights from the data to analyze the hidden insights from the data. Big Data Analysis is also used in Supply chain management for analysis of future studies. This research is aimed at doing a systemic literature review along with bibliometric analysis for usage of Bid Data analytics in supply chain management process for a time window of 10 years (2013–2023). The primary aim of the paper is to complete an in-depth literature review in supply chain and Big Data analytics. This study will help future researchers to narrow down their research in supply chain management as well as Big Data analytics and bring the benefits of these for their respective studies. The study mentions about the study done in last 10 years and recent studies done to fill in the gap existing the same segment so that these can be applied for the future researches. The study is focused to use different approaches which can help in identifying the current and future trends based on numerous papers published in different researches and generate insightful information using VOS Viewer for data analysis purpose.