PLS path modeling: from foundations to recent developments and open issues for model assessment and improvement
VE Vinzi, L Trinchera, S Amato - Handbook of partial least squares …, 2010 - Springer
In this chapter the authors first present the basic algorithm of PLS Path Modeling by
discussing some recently proposed estimation options. Namely, they introduce the …
discussing some recently proposed estimation options. Namely, they introduce the …
Structural modeling of heterogeneous data with partial least squares
Alongside structural equation modeling (SEM), the complementary technique of partial least
squares (PLS) path modeling helps researchers understand relations among sets of …
squares (PLS) path modeling helps researchers understand relations among sets of …
Discovering unobserved heterogeneity in structural equation models to avert validity threats
A large proportion of information systems research is concerned with developing and testing
models pertaining to complex cognition, behaviors, and outcomes of individuals, teams …
models pertaining to complex cognition, behaviors, and outcomes of individuals, teams …
[图书][B] Structural equation modelling with partial least squares using Stata and R
M Mehmetoglu, S Venturini - 2021 - taylorfrancis.com
Partial least squares structural equation modelling (PLS-SEM) is becoming a popular
statistical framework in many fields and disciplines of the social sciences. The main reason …
statistical framework in many fields and disciplines of the social sciences. The main reason …
Treating unobserved heterogeneity in PLS path modeling: a comparison of FIMIX-PLS with different data analysis strategies
M Sarstedt, CM Ringle - Journal of Applied Statistics, 2010 - Taylor & Francis
In the social science disciplines, the assumption that the data stem from a single
homogeneous population is often unrealistic in respect of empirical research. When …
homogeneous population is often unrealistic in respect of empirical research. When …
REBUS‐PLS: A response‐based procedure for detecting unit segments in PLS path modelling
V Esposito Vinzi, L Trinchera… - … Stochastic Models in …, 2008 - Wiley Online Library
Structural equation models (SEMs) make it possible to estimate the causal relationships,
defined according to a theoretical model, linking two or more latent complex concepts, each …
defined according to a theoretical model, linking two or more latent complex concepts, each …
A review of recent approaches for capturing heterogeneity in partial least squares path modelling
M Sarstedt - Journal of modelling in Management, 2008 - emerald.com
Purpose–The purpose of this paper is to critically review the latest approaches for capturing
and explaining heterogeneity in partial least squares (PLS) path modelling and to classify …
and explaining heterogeneity in partial least squares (PLS) path modelling and to classify …
When is brand content shared on Facebook? A field study on online Word-of-Mouth
When implementing social media strategies on Facebook brand pages, companies focus on
factors that prompt electronic Word-of-Mouth (eWoM) about brand contents. This study …
factors that prompt electronic Word-of-Mouth (eWoM) about brand contents. This study …
Do we fully understand the critical success factors of customer satisfaction with industrial goods?-extending Festge and Schwaiger's model to account for unobserved …
This paper extends Festge and Schwaiger's (2007) model of customer satisfaction with
industrial goods by accounting for unobserved heterogeneity. The application of a novel …
industrial goods by accounting for unobserved heterogeneity. The application of a novel …
Capturing heterogeneity and PLS-SEM prediction ability: Alliance governance and innovation
Whether the uses of PLS-SEM latent interaction effect (PLS-LIE), PLS prediction-oriented
segmentation (PLS-POS), or PLS-PATHMOX approaches improve prediction ability remains …
segmentation (PLS-POS), or PLS-PATHMOX approaches improve prediction ability remains …