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Conceptual structure and thematic evolution in partial least squares structural equation modeling research
Citation Link: https://doi.org/10.15480/882.14971
Publikationstyp
Journal Article
Date Issued
2025-03-06
Sprache
English
TORE-DOI
Journal
Article Number
102888
Citation
Quality and Quantity (in Press): 102888 (2025)
Publisher DOI
Scopus ID
Structural equation modeling (SEM) using partial least squares (PLS) has received considerable attention in recent years. We address the increasing fragmentation of PLS-SEM-related research across multiple fields of scientific inquiry by presenting a bibliometric analysis’s results of n = 9,150 documents from the Web of Science database. We identify the main themes by using bibliometric content analysis to explore the PLS-SEM knowledge structure’s definition, its main drivers, and the interplay between the methodology and the application themes over time. Furthermore, we document the dynamics of the PLS-SEM knowledge structure over four periods spanning 1995–2022, unveiling a surge in scientific production and connections among thematic areas due to topic evolution and hybridization. Finally, we investigate the driving forces behind these trends and the relationship between methodology and application themes, providing an integrative view and insights into PLS-SEM research across disciplines.
Subjects
Bibliometric content analysis | Bibliometrix R package | Conceptual structure | Network analysis | Partial least squares | Structural equation modeling
DDC Class
519: Applied Mathematics, Probabilities
020: Library and Information Sciences
Publication version
publishedVersion
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Name
s11135-025-02071-4.pdf
Type
Main Article
Size
2.4 MB
Format
Adobe PDF