Pubblicazioni

Autori:

Cheah, Jun-Hwa; Magno, Francesca; Cassia, Fabio

Titolo:

Reviewing the SmartPLS 4 software: the latest features and enhancements

Anno:

2024

Tipologia prodotto:

Articolo in Rivista

Tipologia ANVUR:

Articolo su rivista

Lingua:

Inglese

Referee:

No

Nome rivista:

JOURNAL OF MARKETING ANALYTICS

ISSN Rivista:

2050-3318

N° Volume:

12

Numero o Fascicolo:

1

Intervallo pagine:

97-107

Parole chiave:

Partial least squares structural equation modeling; Partial least squares path modeling; PLS-SEM; Composite modeling; SmartPLS; Multivariate data analysis

Breve descrizione dei contenuti:

Partial least squares structural equation modeling (PLS-SEM) is a highly popular multivariate data analysis method. The SmartPLS 3 software program helped many marketing researchers analyze the complex relationships between latent variables (i.e., mediation, moderation, etc.), which they measured by means of sets of observed variables. This program’s intuitive graphical user interface and various features, such as new metrics (e.g., HTMT, model fit indexes), advanced techniques (multigroup analysis, PLSpredict), and complementary techniques (e.g., confirmatory tetrad analysis, importance-performance map analysis), which impacted many business disciplines. SmartPLS 4 represents a significant leap forward in development with its completely revamped graphical user interface, faster processing speed for data estimation, and new model assessment features (i.e., cross-validated predictive ability test, endogeneity assessment, and a necessary condition analysis). This paper reviews SmartPLS 4 and discusses its various features, thereby providing researchers with concrete guidance that fits their analytical research goals.

Note:

AJG 1

Pagina Web:

https://link.springer.com/article/10.1057/s41270-023-00266-y

Id prodotto:

136544

Handle IRIS:

11562/1115426

ultima modifica:

25 luglio 2024

Citazione bibliografica:

Cheah, Jun-Hwa; Magno, Francesca; Cassia, Fabio, Reviewing the SmartPLS 4 software: the latest features and enhancements «JOURNAL OF MARKETING ANALYTICS» , vol. 12 , n. 1 , 2024 , pp. 97-107

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