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A primer on partial least squares structural equation modeling (PLS-SEM)
TLDR
This workshop introduces the basics of Partial Least SquaresStructural Equation Modeling using the SmartPLS 3 software. Expand
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PLS-SEM: Indeed a Silver Bullet
TLDR
This paper reviews PLS-SEM and its algorithm, and provides an overview of when it can be most appropriately applied, indicating its potential and limitations for future research. Expand
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A new criterion for assessing discriminant validity in variance-based structural equation modeling
Discriminant validity assessment has become a generally accepted prerequisite for analyzing relationships between latent variables. For variance-based structural equation modeling, such as partialExpand
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An assessment of the use of partial least squares structural equation modeling in marketing research
TLDR
A critical analysis of the use of partial least squares structural equation modeling (PLS-SEM) in marketing research—despite its increasing popularity. Expand
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Editorial - Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance
TLDR
This second Long Range Planning special issue on PLS-SEMin strategic management research and practice seeks to further progress towards this goal. Expand
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Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research
Purpose – The authors aim to present partial least squares (PLS) as an evolving approach to structural equation modeling (SEM), highlight its advantages and limitations and provide an overview ofExpand
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When to use and how to report the results of PLS-SEM
The purpose of this paper is to provide a comprehensive, yet concise, overview of the considerations and metrics required for partial least squares structural equation modeling (PLS-SEM) analysis andExpand
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Advanced Issues in Partial Least Squares Structural Equation Modeling
TLDR
A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Expand
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Common Beliefs and Reality About PLS
TLDR
This article addresses Rönkkö and Evermann’s criticisms of the partial least squares (PLS) approach to structural equation modeling. Expand
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