Conceptual structure and thematic evolution in partial least squares structural equation modeling research

Abstract 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.

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Publication Details

Journal
Quality & Quantity
Published
2025-03-06
DOI
https://doi.org/10.1007/s11135-025-02071-4
Citations
7
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
29.18
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article

Conceptual structure and thematic evolution in partial least squares structural equation modeling research

Enrico Ciavolino, Mario Angelelli, Marko Sarstedt, Massimo Aria et al.
7 citations
Quality & Quantity
Technology Adoption and User Behaviour
29.18
article

Conceptual structure and thematic evolution in partial least squares structural equation modeling research

Enrico Ciavolino, Mario Angelelli, Marko Sarstedt, Massimo Aria, Christian M. Ringle
article en
7 citations

Abstract

Abstract 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.

Quality & QuantityVol. 59(3)
University of Salento (IT), Universität Hamburg (DE), Babeș-Bolyai University (RO), Munich Business School (DE), WSB Merito University in Gdańsk (PL), University of Naples Federico II (IT), Ludwig-Maximilians-Universität München (DE), James Cook University (AU), Hamburg University of Technology (DE)
Openalex Percentile: Top 1%
Technology Adoption and User Behaviour
29.18
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Conceptual structure and thematic evolution in partial least squares structural equation modeling research — Enrico Ciavolino, Mario Angelelli, et al. · Quality & Quantity (2025) | TGRS Research Map | TGRS