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

Author

Listed:
  • Mario Angelelli

    (University of Salento)

  • Enrico Ciavolino

    (University of Salento
    WSB Merito University in Gdansk)

  • Christian M. Ringle

    (Hamburg University of Technology
    James Cook University)

  • Marko Sarstedt

    (Ludwig-Maximilians-University Munich
    Babeș-Bolyai University)

  • Massimo Aria

    (University of Napoli “Federico II”)

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.

Suggested Citation

  • Mario Angelelli & Enrico Ciavolino & Christian M. Ringle & Marko Sarstedt & Massimo Aria, 2025. "Conceptual structure and thematic evolution in partial least squares structural equation modeling research," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(3), pages 2753-2798, June.
    • Handle: RePEc:spr:qualqt:v:59:y:2025:i:3:d:10.1007_s11135-025-02071-4
    DOI: 10.1007/s11135-025-02071-4
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