Results 311 to 320 of about 92,745 (332)
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PLS-SEM: Looking Back and Moving Forward

Long Range Planning, 2014
This article introduces and motivates an exchange of thoughts on the paper by Edward E. Rigdon in the first of two Long Range Planning special issues on partial least squares structural equation modeling (PLS-SEM) in strategic management published in 2012 and 2013.
Sarstedt, Marko   +2 more
openaire   +2 more sources

Structural model robustness checks in PLS-SEM

Tourism Economics, 2019
Partial least squares structural equation modeling (PLS-SEM) has become a standard tool for analyzing complex inter-relationships between observed and latent variables in tourism and numerous other fields of scientific inquiry. Along with the recent surge in the method’s use, research has contributed several complementary methods for assessing the ...
Marko Sarstedt   +5 more
openaire   +1 more source

PLS-SEM Software Model

In today's digital world, micro-influencers have significant sway over customers' purchasing decisions. In order to develop useful content that attracts customers and encourages them to connect with micro-influencers, marketers have deliberately cooperated with them as brand endorsers. This collaboration has led to brand evangelism.
Faisal Ahmed Khan   +4 more
openaire   +1 more source

Common Method Bias in PLS-SEM

International Journal of e-Collaboration, 2015
The author discusses common method bias in the context of structural equation modeling employing the partial least squares method (PLS-SEM). Two datasets were created through a Monte Carlo simulation to illustrate the discussion: one contaminated by common method bias, and the other not contaminated.
openaire   +1 more source

Partial least squares structural equation modeling (PLS-SEM)

European Business Review, 2014
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 of recent research on the method across various fields.Design/methodology/approach– In this review article, the authors merge literatures from the marketing ...
Hair, Joseph F.   +3 more
openaire   +2 more sources

Missing data imputation in PLS-SEM

Quality & Quantity, 2022
Huiwen Wang, Shan Lu, Yide Liu
openaire   +1 more source

Modèles d'équations structurelles Partial Least Squares (PLS-SEM)

2022
Cette troisième édition de Modèles d’équations structurelles Partial Least Squares (PLS-SEM) (1re édition française) guide les lecteurs dans l'apprentissage et la maîtrise des techniques de cette approche. Les auteurs s'appuient sur leurs années de recherche et d'enseignement pour communiquer les principes fondamentaux de la méthode PLS-SEM dans un ...
Hair, Joseph Franklin   +5 more
openaire   +1 more source

ANALYSE STATISTIQUE (Logiciel XLSTAT, PLS-SEM)

Analyse statistique par modèle d'equation structurelle (PLS-SEM)
openaire   +1 more source

Treating Unobserved Heterogeneity in PLS-SEM: A Multi-method Approach

2017
Accounting for unobserved heterogeneity has become a key concern to ensure the validity of results when applying partial least squares structural equation modeling (PLS-SEM). Recent methodological research in the field has brought forward a variety of latent class techniques that allow for identifying and treating unobserved heterogeneity. This chapter
Sarstedt, Marko   +2 more
openaire   +1 more source

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