Latent class analysis in PLS-SEM: A review and recommendations for future applications

PLS-SEM for Software Engineering Research

(2021) Daniel Russo et al.   ACM COMPUTING SURVEYS

Prediction in HRM research–A gap between rhetoric and reality

(2021) Marko Sarstedt et al.   Human Resource Management Journal

Finding groups in structural equation modeling through the partial least squares algorithm

(2020) Mario Fordellone et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Next-generation prediction metrics for composite-based PLS-SEM

(2020) Joe F. Hair Jr   INDUSTRIAL MANAGEMENT & DATA SYSTEMS

User's Segmentation on Continued Knowledge Management System Use in the Public Sector

(2019) Chi-Cheng Huang   Journal of Organizational and End User Computing

Gut microbial diversity is associated with lower arterial stiffness in women

(2018) Cristina Menni et al.   EUROPEAN HEART JOURNAL

The construction client satisfaction model: a PLS-SEM approach

(2018) Serdar DURDYEV et al.   Journal of Civil Engineering and Management

Framing the triple bottom line approach: Direct and mediation effects between economic, social and environmental elements

(2018) Göran Svensson et al.   JOURNAL OF CLEANER PRODUCTION

Sponsorship image transfer theory in virtual brand communities

(2018) Manuel Alonso Dos Santos et al.   INDUSTRIAL MANAGEMENT & DATA SYSTEMS

An updated and expanded assessment of PLS-SEM in information systems research

(2017) Joe Hair et al.   INDUSTRIAL MANAGEMENT & DATA SYSTEMS

Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats

(2017) Jan-Michael Becker et al.   MIS QUARTERLY

Eliminating Bias in Classify-Analyze Approaches for Latent Class Analysis

(2014) Bethany C. Bray et al.   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

Genetic algorithm segmentation in partial least squares structural equation modeling

(2013) Christian M. Ringle et al.   OR SPECTRUM

A weighted least-squares approach to clusterwise regression

(2011) Rainer Schlittgen   AStA-Advances in Statistical Analysis

To Explain or to Predict?

(2011) Galit Shmueli   STATISTICAL SCIENCE

Treating unobserved heterogeneity in PLS path modeling: a comparison of FIMIX-PLS with different data analysis strategies

(2010) Marko Sarstedt et al.   JOURNAL OF APPLIED STATISTICS

REBUS-PLS: A response-based procedure for detecting unit segments in PLS path modelling

(2008) V. Esposito Vinzi et al.   APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY