Results 271 to 280 of about 1,053,038 (328)

Common Method Bias in PLS-SEM

International Journal of e-Collaboration, 2015
The author discusses common method bias in the context of structural equation modeling employing the partial least squares method (PLS-SEM). Two datasets were created through a Monte Carlo simulation to illustrate the discussion: one contaminated by common method bias, and the other not contaminated.
Ned Kock
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Structural model robustness checks in PLS-SEM

Tourism Economics, 2019
Partial least squares structural equation modeling (PLS-SEM) has become a standard tool for analyzing complex inter-relationships between observed and latent variables in tourism and numerous other fields of scientific inquiry. Along with the recent surge in the method’s use, research has contributed several complementary methods for assessing the ...
Marko Sarstedt, Christian M Ringle, Jun-Hwa Cheah, Hiram Ting, Ovidiu I Moisescu, Lacramioara Radomir   +5 more
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Partial Least Squares Strukturgleichungsmodellierung (PLS-SEM): Eine anwendungsorientierte Einführung

2017
Die Partial Least Squares Strukturgleichungsmodellierung (PLS-SEM) hat sich in der wirtschafts- und sozialwissenschaftlichen Forschung als geeignetes Verfahren zur Schätzung von Kausalmodellen behauptet. Dank der Anwenderfreundlichkeit des Verfahrens und der vorhandenen Software ist es inzwischen auch in der Praxis etabliert.
Hair, Joe F., Hult, G. Thomas M., Ringle, Christian M., Sarstedt, Marko, Richter, Nicole Franziska, Hauff, Sven   +5 more
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Review of Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook

Structural Equation Modeling: A Multidisciplinary Journal, 2022
Partial Least Squares Structural Equation Modeling (PLSSEM) Using R: A Workbook (Hair et al., 2021) is a workbook based on the textbook: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), (Hair et al., 2017).
Ejike J. Edeh, Wen‐Juo Lo, Jam Khojasteh   +2 more
semanticscholar   +1 more source

When to use and how to report the results of PLS-SEM

European Business Review, 2019
Purpose The purpose of this paper is to provide a comprehensive, yet concise, overview of the considerations and metrics required for partial least squares structural equation modeling (PLS-SEM) analysis and result reporting.
Joseph F. Hair, Jeffrey J. Risher, M. Sarstedt, C. Ringle   +3 more
semanticscholar   +1 more source

“PLS-SEM: indeed a silver bullet” – retrospective observations and recent advances

Journal of Marketing Theory and Practice, 2022
In 2011, the Journal of Marketing Theory & Practice published “PLS-SEM: Indeed a silver bullet,” which became a cornerstone contribution in marketing. Critical reflection of research work is a fundamental building block of science, including one’s own ...
M. Sarstedt, Joseph F. Hair, C. Ringle
semanticscholar   +1 more source

Predictive model assessment in PLS-SEM: guidelines for using PLSpredict

European Journal of Marketing, 2019
Purpose Partial least squares (PLS) has been introduced as a “causal-predictive” approach to structural equation modeling (SEM), designed to overcome the apparent dichotomy between explanation and prediction.
Galit Shmueli, M. Sarstedt, Joseph F. Hair, J. Cheah, H. Ting, Santha Vaithilingam, C. Ringle   +6 more
semanticscholar   +1 more source

PLS-SEM algorithm in Brand Equity Component

2021 3rd International Electronics Communication Conference (IECC), 2021
The overall goal of this paper is to use Smartpls Software to investigate the effects of brand equity components on purchasing intentions by PLS-SEM. PLS-SEM algorithm in Smartpls 3.2.7 for analyzing statistics. The study was conducted in Ho Chi Minh City, Vietnam. The results showed that there is a noticeable positive relationship between brand equity
Nguyen Thi Ngan, Bui Huy Khoi
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วิธีรายงานผลการศึกษาของตัวแปรสร้างลำดับที่สองของ PLS-SEM

2020
จุฬาลงกรณ์ธุรกิจปริทัศน์, 42, 165, 39 ...
openaire   +1 more source