SmartPLS, a free, user-friendly modeling package for partial least squares analysis, is supported by a community of scholars centered at the University of Hamburg (Germany), School of Business, under …

Emplearemos el software SmartPLS 4 (Ringle, Wende y Becker, 2022) para llevar a cabo todos los análisis PLS-SEM de este libro. La exposición que se plantea incluye una descripción general de las …

After running the procedure, SmartPLS shows the bootstrapping results for the measurement models and structural model in the Modeling window. Using the combo boxes available on the screen under …

Each model is included in the SmartPLS project file Corpo-rate Reputation that you can download and import into the SmartPLS soft-ware. Alternatively, you can create these four models for the …

Figura A6.9 Tamaño del efecto f2 a predictiva del modelo utilizando PLS Predict. Para iniciar el procedimiento, vaya a Calcular PLSpredict/CVPAT en el menú SmartPLS o vaya a la ventana de …

Opciones de bootstrapping en SmartPLS se abre automáticamente el informe de resultados. Vaya a Criterios de calidad Ratio Heterotrait-mo otrait (HTMT) y navegue a Intervalos de confianza. La tabla …

The SmartPLS 4 software (Ringle, Wende, & Becker, 2022) is used to exe-cute all the PLS-SEM analyses in this book. The discussion includes an over-view of the software’s functionalities.

To estimate the corporate reputation model in SmartPLS, you need to cre-ate a new project, import the indicator data (i.e., Corporate reputation data.csv), and draw the model as explained in the case …

uede descargar e importar en el software SmartPLS. Cada modelo s abre después de hacer doble clic sobre el mismo. De forma alternativa, puede crear estos cuatro modelos para la evaluación de la …

To compute the moderation results, SmartPLS performs the two-stage ap-proach, which allows to disclose the significance of a moderating effect (which is usually the case in PLS-SEM applications).