Partial Least Squares Structural Equation Modeling (PLS-SEM) in business research: A simple guide for novice researchers

The University of Dodoma · National Institute of Transport

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Abstract

This review provides a comprehensive, step-by-step guide to the application of partial least squares structural equation modeling (PLS-SEM) for novice researchers. This is a conceptual and literature-based review that focuses on best practices and PLS-SEM literature. It highlights the rationale for using PLS-SEM, sample size, software tools, and essential metrics in PLS-SEM analysis. Drawing on best practices and recent literature, the review offers a framework for conducting and reporting PLS-SEM analysis. The review presents essential such as outer loadings, Cronbach’s alpha coefficients, average variance extracted (AVE), composite reliability, cross-loadings, Heterotrait-Monotrait ratio of correlations…

Citation impact

5
total citations
FWCI
107.62
Percentile
100%
References
53
Too recent for citation history.

Authors

2

Topics & keywords

Keywords
  • Structural equation modeling
  • CLARITY
  • Variance (accounting)
  • Partial least squares regression
  • Rigour
  • Sample (material)
  • Software
  • Variance inflation factor
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