Aplicação do business intelligence em logística: uma revisão bibliométrica

Abstract

The application of Business Intelligence (BI) in logistics has proven to be of great importance, allowing companies to make strategic decisions based on accurate data and advanced analytics. Therefore, it is crucial for companies to use data analysis tools to develop more efficient logistics management strategies. In this regard, this study aims to analyze articles that address this application through bibliometric analysis. The methodology used involved searching for articles in two databases, Web of Science and Scopus, resulting in 179 articles published between the period of 1997 and 2023. Terms related to BI in logistics were used for the research, and for the analysis of the results, the bibliometrix package of the RStudio software was used, with the aid of the biblioshiny visualization tool. Based on the results, an increase in scientific production in this topic was evident from 2015 onwards, with European and Asian countries contributing more to this growth, representing 11 out of the top 15 producers. In this context, the most cited article belongs to the United Kingdom and addresses the practical implications of big data in supply chain management. Therefore, big data analytics is among the most emerging topics, as it is a methodology that uses various tools to analyze and extract valuable information from large volumes of data, enabling the optimization of supply chain management. Other frequent topics in the study were "Firm Performance," "Impact," and "Data Quality," revealing research trends. This analysis contributes to a deep understanding of the evolution and trends in the application of BI in logistics, providing valuable insights for researchers, professionals, and decision-makers.