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Titlebook: State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM); Methodological Exten Lăcrămioara Radomir,Raluca Ciornea,M

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Predicting Sustainable Consumption Behavior of Europeans Using the CVPATgher out-of-sample predictive power than the established model. Our study adds value to research regarding sustainable consumption behavior, in that we do not only consider the explanation of the effects in our model but also include a predictive angle by applying a novel methodology.
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Book 2023held at the Babeș-Bolyai University, Cluj, Romania. The volume seeks to expand the current research on PLS-SEM and promote the method’s application in the scientific community. It gathers research from scholars in many different fields who work on the advancement of PLS-SEM and who apply the method
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Empirical Validation of the 10-Times Rule for SEMys face the central dilemma of determining a sufficient sample size to ensure a converting model, true estimates, and sufficient statistical power. The prominent 10-times rule suggests that the minimum sample size should be 10 times the maximum number of arrowheads pointing at a latent variable anyw
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Partial Least Squares Structural Equation Modeling-Based Discrete Choice Modeling: An Illustration in data derived from discrete choice experiments. To achieve this aim, we employ a PLS-SEM-based discrete choice modelling approach to analyze data from a large study in the German healthcare sector. Our primary focus is to reveal distinct customer segments by exploring variations in their preference
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The Use of PLS-SEM in Engineering: A Tool to Apply the Design Science PLS-SEM method to different contexts demonstrates its flexibility in different knowledge areas positioning it as a “border” tool, once it can consolidate different science fields, becoming useful in contexts where the limits between one science field and another are not well known, as Industry 4.0,
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