Partial least squares methodology SEM (PLS-SEM) has established itself as a critical statistical method in Economics, Econometrics and Finance. It stands out for its effectiveness in handling non-normal data and modelling complex relationships between latent constructs. The main objective of this study is to map and critically evaluate the adoption and impact of PLS-SEM in these disciplines, identifying usage patterns and emerging trends. A bibliometric analysis of 1217 articles from the Scopus database, published between 2012 and 2023, was conducted using text mining and network analysis to discern trends and patterns of co-authorship. The findings indicate a steady increase in the publication of articles using PLS-SEM, especially in the last 6 years, with a notable concentration of research in Asia, led by Malaysia regarding the number of publications, while the United States dominates in citations. The study’s implications suggest a growing relevance of PLS-SEM in the areas studied, with a geographic distribution centred in Asia. However, expansion of the databases and diversification of the types of publications is recommended for future research to obtain a broader and more representative perspective of using PLS-SEM in Economics, Econometrics and Finance.