Results 1 to 10 of about 46,925 (186)

(Consistent) PLS-SEM vs. CB-SEM in Mobile Shopping

open access: yesİstanbul Gelişim Üniversitesi Sosyal Bilimler Dergisi, 2023
This paper seeks to examine and compare the regular and consistent PLS-SEM and CB-SEM by employing the augmented TAM, which stands as a proportionately complicated model.
Oğuz Yıldız, Alpaslan Kelleci
doaj   +3 more sources

Comparing CB-SEM and PLS-SEM results: an empirical example [PDF]

open access: yesProceedings of the 2nd International Symposium on Partial Least Squares Path Modeling: The conference for PLS Users, 2015
Many scholars view PLS-SEM as less rigorous than CB-SEM, namely due to is less restrictive assumptions. The main objective of this research is to compare the results of both approaches, for a given model, to examine if there are, indeed, noteworthy differences. The study shows that the results obtained in both approaches are very similar.
Amaro, Suzanne   +2 more
openaire   +6 more sources

What Determines Lean Manufacturing Implementation? A CB-SEM Model [PDF]

open access: yesEconomies, 2018
This research aims to ascertain the determinants of effective Lean Manufacturing (LM). In this research, Covariance-based Structural Equation Modeling (CB-SEM) analysis will be used in order to analyze the determinants.
Tan Ching Ng, Morteza Ghobakhloo
doaj   +3 more sources

CB-SEM IMPLEMENTATION IN R AND PYTHON: A REVIEW AND COMPARATIVE STUDY

open access: yesJournal of Applied Structural Equation Modeling, 2022
Given the increasing popularity of freely available open-source packages being widely used in academia and corporates, this study explores the implementation of a covariance-based structural equation modelling (CB-SEM) method using R and Python packages.
Souma Kanti Paul   +3 more
doaj   +2 more sources

An extensive comparison of CB-SEM and PLS-SEM for reliability and validity [PDF]

open access: yesInternational Journal of Data and Network Science, 2020
Structural Equation Modeling (SEM) includes measurement and structural model for hypothesis testing. The results yielded from structural model is unlikely to be valid if a poor loading of an indicator is selected.
Asyraf Afthanorhan   +2 more
doaj   +2 more sources

CB-SEM vs PLS-SEM comparison in estimating the predictors of investment intention

open access: yesCroatian Operational Research Review
This paper compares different structural equation modeling approaches in estimating the predictors of investment intention. Covariance-based structural equation modeling (CB-SEM) and partial least squares structural equation modeling (PLS-SEM) techniques
Marija Vuković
doaj   +4 more sources

Covariance-based structural equation modeling (CB-SEM): a SmartPLS 4 software tutorial [PDF]

open access: yesJournal of Marketing Analytics
Abstract Covariance-based structural equation modeling (CB-SEM) enables researchers to estimate models with hypothesized cause-effect relationships between latent variables (i.e., constructs), each of which is operationalized by several items (i.e., indicators).
Joseph F. Hair   +4 more
openaire   +2 more sources

Design of Electrochemical Sensor Based on Pumpkin Peel Biomass-Derived Carbon Black-Modified Electrode for the Detection of Lead Ions [PDF]

open access: yesSensors
This study reports a sustainable and experimentally simple electrochemical platform for monitoring trace Pb2+ using pumpkin peel-derived carbon black (CB) as a modifier on a Nafion-coated glassy carbon electrode (CB/Nafion-GCE).
Amal M. Aladwani   +5 more
doaj   +2 more sources

Factors driving Gen Z's news engagement on TikTok: A hybrid analysis through CB-SEM and PLS-SEM

open access: yesComputers in Human Behavior Reports
This study explores the underlying factors that drive Generation Z's news consumption on TikTok in Vietnam, an emerging market with a vibrant digital landscape.
Ta Thi Nguyet Trang   +3 more
doaj   +2 more sources

A comparative study on the performance of maximum likelihood, generalized least square, scale-free least square, partial least square and consistent partial least square estimators in structural equation modeling [PDF]

open access: yesInternational Journal of Data and Network Science, 2022
Structural equation modeling offers various estimation methods for estimating parameters. The most used method in covariance-based structural equation modeling (CB-SEM) is the maximum likelihood (ML) estimator.
Raudhah Zulkifli   +3 more
doaj   +1 more source

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