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PLS-SEM’s most wanted guidance

📅 August 23, 2022 👤 Jan-Michael Becker, Jun‐Hwa Cheah, Rasoul Gholamzade et al. 📖 International Journal of Contemporary Hospitality Management 📊 1,051 citations

🤖 Plain-English Summary

Purpose Partial least squares structural equation modeling (PLS-SEM) has attracted much attention from both methodological and applied researchers in various disciplines – also in hospitality management research. Originality/value There has as yet been no systematic analysis of this kind in the field of PLS-SEM; the authors, therefore, present the first research results.

🔑 Key Findings

  • As PLS-SEM is relatively new compared to other multivariate analysis techniques, there are still numerous open questions and uncertainties in its application.
  • This study aims to address this important issue by offering guidance regarding its use in contexts with which researchers struggle.
  • Design/methodology/approach The authors examine the most prominent questions and answers posed in a well-known PLS-SEM discussion forum.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Aug 23, 2022
Journal International Journal of Contemporary Hospitality Management
Authors Jan-Michael Becker, Jun‐Hwa Cheah, Rasoul Gholamzade, Christian M. Ringle, Marko Sarstedt
DOI 10.1108/ijchm-04-2022-0474
Citations 1,051
Source OpenAlex

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