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  4. Progress in partial least squares structural equation modeling use in marketing research in the last decade
 
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Progress in partial least squares structural equation modeling use in marketing research in the last decade

Citation Link: https://doi.org/10.15480/882.4298
Publikationstyp
Journal Article
Date Issued
2022-01-27
Sprache
English
Author(s)
Sarstedt, Marko  
Hair, Joseph F.  
Pick, Mandy  
Liengaard, Benjamin Dybro  
Radomir, Lăcrămioara  
Ringle, Christian M.  orcid-logo
Institut
Personalwirtschaft und Arbeitsorganisation W-9  
TORE-DOI
10.15480/882.4298
TORE-URI
http://hdl.handle.net/11420/11823
Journal
Psychology & marketing  
Volume
39
Issue
5
Start Page
1035
End Page
1064
Citation
Psychology and Marketing 39 (5): 1035-1064 (2022-05)
Publisher DOI
10.1002/mar.21640
Scopus ID
2-s2.0-85123736854
Publisher
Wiley Interscience
Partial least squares structural equation modeling (PLS-SEM) is an essential element of marketing researchers' methodological toolbox. During the last decade, the PLS-SEM field has undergone massive developments, raising the question of whether the method's users are following the most recent best practice guidelines. Extending prior research in the field, this paper presents the results of a new analysis of PLS-SEM use in marketing research, focusing on articles published between 2011 and 2020 in the top 30 marketing journals. While researchers were more aware of the when's and how's of PLS-SEM use during the period studied, we find that there continues to be some delay in the adoption of model evaluation's best practices. Based on our review results, we provide recommendations for future PLS-SEM use, offer guidelines for the method's application, and identify areas of further research interest.
Subjects
marketing models
partial least squares
PLS-SEM
research methodology
SEM
structural equation modeling
DDC Class
330: Wirtschaft
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by-nc-nd/4.0/
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