A New-Generation Statistical Data Analysis Technique: Partial Least Structural Equation Modeling (PLS-SEM). Application in Economics, Econometrics and Finance

María del Carmen Valls Martínez (), José Manuel Santos-Jaén (), Ana León-Gómez () and Fahim ul Amin
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María del Carmen Valls Martínez: Mediterranean Research Center on Economics and Sustainable Development
José Manuel Santos-Jaén: University of Murcia
Ana León-Gómez: University of Malaga
Fahim ul Amin: Hainan University

Chapter Chapter 7 in Advances in Quantitative Methods for Economics and Business, 2025, pp 119-145 from Springer

Abstract: Abstract 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.

Keywords: Partial Least Squares Structural Equation Modeling (PLS-SEM); Bibliometric Analysis; Economics; Econometrics; Finance (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-3-031-84782-0_7

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