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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 the various PLS-SEM statistical applications.
Mumtaz Ali Memon +5 more
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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. In this comment, we shed further light on two subject areas on which Rigdon (2012) touches in his discussion of CB-SEM and PLS-SEM. Rigdon (2012) highlights ways to make
Sarstedt, Marko +3 more
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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
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Intellectual capital and organizational effectiveness: PLS-SEM approach [PDF]
Industrija, 2018 An intellectual capital or intangible assets, as valuable economic resources, is increasingly becoming key driver of organizations' economic performance and competitiveness.
Zlatković Matea
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Investigating barriers to drones implementation in sustainable construction using PLS-SEM [PDF]
Scientific ReportsIntegrating 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
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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
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Addressing Perceived Insecurity in Public Transportation: A PLS-SEM Approach
Journal of Advanced TransportationThe 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
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PLS-SEM for Software Engineering Research [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.
Daniel Russo, Klaas-Jan Stol
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(Consistent) PLS-SEM vs. CB-SEM in Mobile Shopping
İstanbul 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
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SEM-PLS Approach to Green Building
Encyclopedia, 2021 Green buildings refer to buildings that decrease adverse environmental effects and maintain natural resources. They can diminish energy consumption, greenhouse gas emissions, the usage of non-renewable materials, water consumption, and waste generation ...
Nasim Aghili, Mehdi Amirkhani
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