Results 11 to 20 of about 1,091,574 (302)
A PLS-SEM Neural Network Approach for Understanding Cryptocurrency Adoption [PDF]
The majority of previous research on new technology acceptance has been conducted with single-step Structural Equation Modeling (SEM) based methods. The primary purpose of the study is to enhance the new technology acceptance based research with the ...
Osama Sohaib +4 more
doaj +2 more sources
CB-SEM vs PLS-SEM comparison in estimating the predictors of investment intention
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 +2 more sources
ESTIMATING MODERATING EFFECTS IN PLS-SEM AND PLSc-SEM: INTERACTION TERM GENERATION*DATA TREATMENT [PDF]
When estimating moderating effects in partial least squares structural equation modeling (PLS-SEM), researchers can choose from a variety of approaches to model the influence of a moderator on a relationship between two constructs by generating different
Jan-Michael Becker +2 more
doaj +4 more sources
These data are related to a research on how to use PLS in sports management ...
Mojtaba Rajabi (12493858)
core +1 more source
The use of an internet network in an organization cannot be divorced from the numerous types of challenges that occur inside it, particularly those connected to network service quality., In addition, the high demand for service users has become a severe ...
Andhika Mayasari +2 more
doaj +1 more source
Purpose: The present paper aims to analyze the Operations Management (OM) research between 2014 and 2018 that has made use of Partial Least Squares (PLS) to determine whether the trends shown in previous literature reviews focused on this topic are ...
Enrique Bayonne +2 more
doaj +1 more source
PLS-SEM bootstrapping model significant estimation.
PLS-SEM bootstrapping model significant estimation.
Asif Ali (285640) +7 more
core +1 more source
This study aims to determine factors that influence undergraduate students' engagement in online learning. The sample consisted of 609 undergraduate students from four public and private universities in Malaysia.
Melissa Ng Lee Yen Abdullah Abdullah (15367240)
core +1 more source
PLS-SEM Co-efficient path model estimation.
PLS-SEM Co-efficient path model estimation.
Asif Ali (285640) +7 more
core +1 more source

