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An empirical comparison of some missing data treatments in PLS-SEM. [PDF]
PLoS ONEPLS-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 +5 more sources
PLS-SEM: Indeed a Silver Bullet [PDF]
Journal of Marketing Theory and Practice, 2011 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.
Joe F. Hair +2 more
semanticscholar +5 more sources
PLS-SEM STATISTICAL PROGRAMS: A REVIEW [PDF]
Journal of Applied Structural Equation Modeling, 2021 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 ...
Mumtaz Ali Memon +5 more
doaj +3 more sources
A PLS-SEM Neural Network Approach for Understanding Cryptocurrency Adoption [PDF]
IEEE Access, 2020 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 +9 more sources
Beware of the Woozle effect and belief perseverance in the PLS-SEM literature! [PDF]
Electronic Commerce ResearchPartial least squares structural equation modeling (PLS-SEM) is a popular method of data analysis in marketing, information systems research, and related fields.
Cadogan, John W. +5 more
core +8 more sources
A primer on the conditional mediation analysis in PLS-SEM [PDF]
ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 2021 Conditional mediation (CoMe) analysis integrates mediation and moderation analyses to examine and test hypotheses about how mediated relationships vary as a function of context, boundaries, or individual differences.
Cepeda-Carrion, Gabriel +4 more
core +5 more sources
PLS-SEM for software engineering research:An introduction and survey [PDF]
ACM Computing Surveys, 2021 Software Engineering (SE) researchers are increasingly paying attention to organizational and human factors. Rather than focusing only on variables that can be directly measured, such as lines of code, SE research studies now also consider unobservable variables, such as organizational culture and trust.
Russo, Daniel, Stol, Klaas Jan
core +5 more sources
ESTIMATING MODERATING EFFECTS IN PLS-SEM AND PLSc-SEM: INTERACTION TERM GENERATION*DATA TREATMENT [PDF]
Journal of Applied Structural Equation Modeling, 2018 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
On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012) [PDF]
Long Range Planning, 2014 Rigdon's (2012) thoughtful article argues that PLS-SEM should free itself from CB-SEM. It should renounce all mechanisms, frameworks, and jargon associated with factor models entirely.
Hair, Joseph F. +3 more
core +5 more sources
Social Capital and Economic Development: PLS-SEM Model
Gospodarka Narodowa. The Polish Journal of Economics, 2023 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