Artículo
A tale of PLS Structural Equation Modelling: Episode I— A Bibliometrix Citation Analysis
Autor/es | Ciavolino, Enrico
Aria, Massimo Cheah, Jun-Hwa Roldán Salgueiro, José Luis |
Departamento | Universidad de Sevilla. Departamento de Administración de Empresas y Comercialización e Investigación de Mercados (Marketing) |
Fecha de publicación | 2022 |
Fecha de depósito | 2023-06-23 |
Publicado en |
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Resumen | The structure of knowledge about Structural Equation Modelling (SEM) based on the Par-
tial Least Squares (PLS) estimator has been analysed by systematic and reproducible bib-
liometric citation analysis. This contribution ... The structure of knowledge about Structural Equation Modelling (SEM) based on the Par- tial Least Squares (PLS) estimator has been analysed by systematic and reproducible bib- liometric citation analysis. This contribution aims to create a dynamic picture of the PLS- SEM research activity to support scholars with an enhanced understanding of the history, the present and the future directions of this fascinating modelling approach. Analysis was conducted using the Bibliometrix packageR with documents extracted (n = 3,854) from the Web of Science (WoS) database by Clarivate. Hence, we find seminal papers in the context of PLS-SEM as well as the diffusion and use in different research domains, suggesting new directions of applications. We also identify the collaboration networks involving authors and countries to highlight the new potential for cooperation from a co-authorship and inter- national project standpoint. Furthermore, the dynamics of the sources indicate the interest of journals in this field in a dissemination role, which can assist authors in selecting a suit- able publisher. Finally, the historiographic overview shows the dominant topics and the possible evolution in the citation analysis from the theoretical and application angles. |
Cita | Ciavolino, E., Aria, M., Cheah, J. y Roldán Salgueiro, J.L. (2022). A tale of PLS Structural Equation Modelling: Episode I— A Bibliometrix Citation Analysis. Social Indicators Research, 164, 1323-1348. https://doi.org/10.1007/s11205-022-02994-7. |
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