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

In: Advances in Quantitative Methods for Economics and Business

Author

Listed:
  • María del Carmen Valls Martínez

    (Mediterranean Research Center on Economics and Sustainable Development
    Economics and Business Department University of Almeria)

  • José Manuel Santos-Jaén

    (University of Murcia)

  • Ana León-Gómez

    (University of Malaga)

  • Fahim ul Amin

    (Hainan University)

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.

Suggested Citation

  • María del Carmen Valls Martínez & José Manuel Santos-Jaén & Ana León-Gómez & Fahim ul Amin, 2025. "A New-Generation Statistical Data Analysis Technique: Partial Least Structural Equation Modeling (PLS-SEM). Application in Economics, Econometrics and Finance," Springer Books, in: Salvador Cruz Rambaud & Juan Evangelista Trinidad Segovia & Catalina B. García-García (ed.), Advances in Quantitative Methods for Economics and Business, chapter 0, pages 119-145, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-84782-0_7
    DOI: 10.1007/978-3-031-84782-0_7
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