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PLS-SEM’s most wanted guidance

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

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

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

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

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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