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PLS-SEM STATISTICAL PROGRAMS: A REVIEW [PDF]
Partial least squares structural equation modeling (PLS-SEM) is one of the most widely used methods of multivariate data analysis. Although previous research has discussed different aspects of PLS-SEM, little has been done to explain the attributes of the various PLS-SEM statistical applications.
Mumtaz Ali Memon +5 more
doaj +3 more sources
PLS-SEM’s most wanted guidance
Purpose Partial least squares structural equation modeling (PLS-SEM) has attracted much attention from both methodological and applied researchers in various disciplines – also in hospitality management research.
Becker, Jan-Michael +4 more
openaire +5 more sources
PLS-SEM: Indeed a Silver Bullet
Structural equation modeling (SEM) has become a quasi-standard in marketing and management research when it comes to analyzing the cause-effect relations between latent constructs. For most researchers, SEM is equivalent to carrying out covariance-based SEM (CB-SEM).
Hair, Joseph F., Jr. +2 more
openaire +3 more sources
Social Capital and Economic Development: PLS-SEM Model
The aim of this paper is to measure social capital and determine its effect on economic development across thirty five European economies from 2017 to 2020. Partial least squares structural equation modelling (PLS-SEM) was applied to measure and identify
Mateusz Borkowski
doaj +2 more sources
(Consistent) PLS-SEM vs. CB-SEM in Mobile Shopping
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
Intellectual capital and organizational effectiveness: PLS-SEM approach [PDF]
An intellectual capital or intangible assets, as valuable economic resources, is increasingly becoming key driver of organizations' economic performance and competitiveness.
Zlatković Matea
doaj +2 more sources
Improving PLS-SEM use for business marketing research
A review of studies published in Industrial Marketing Management over the past two decades and more shows that these studies not only used partial least squares structural equation modeling (PLS-SEM) widely to estimate and empirically substantiate theoretically established models with constructs, but did so increasingly. In line with their study goals,
Guenther, Miriam +3 more
semanticscholar +3 more sources
An empirical comparison of some missing data treatments in PLS-SEM. [PDF]
PLS-SEM is frequently used in applied studies as an excellent tool for examining causal-predictive associations of models for theory development and testing. Missing data are a common problem in empirical analysis, and PLS-SEM is no exception.
Lateef Babatunde Amusa +1 more
doaj +2 more sources
Investigating barriers to drones implementation in sustainable construction using PLS-SEM [PDF]
Integrating sustainability values into decision-making processes is crucial for maximizing returns in residential construction projects while ensuring that project functions remain uncompromised.
Ahmed Osama Daoud +4 more
doaj +2 more sources
Addressing Perceived Insecurity in Public Transportation: A PLS-SEM Approach
The sense of insecurity and fear of crime associated with public transportation are disadvantages that can deter individuals from using public transportation.
Carolina Busco +5 more
doaj +2 more sources

