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Partial least squares structural equation modeling in HRM research

Publikationstyp
Journal Article
Date Issued
2020-07-03
Sprache
English
Author(s)
Ringle, Christian M.  orcid-logo
Sarstedt, Marko  
Mitchell, Rebecca  
Gudergan, Siegfried  
Institut
Personalwirtschaft und Arbeitsorganisation W-9  
TORE-URI
http://hdl.handle.net/11420/4006
Journal
International journal of human resource management  
Volume
31
Issue
12
Start Page
1617
End Page
1643
Citation
International Journal of Human Resource Management 31 (12): 1617-1643 (2020-07-03)
Publisher DOI
10.1080/09585192.2017.1416655
Scopus ID
2-s2.0-85040973280
Publisher
Taylor & Francis
Partial least squares structural equation modeling (PLS-SEM) has become a key multivariate analysis technique that human resource management (HRM) researchers frequently use. While most disciplines undertake regular critical reflections on the use of important methods to ensure rigorous research and publication practices, the use of PLS-SEM in HRM has not been analyzed so far. To address this gap in HRM literature, this paper presents a critical review of PLS-SEM use in 77 HRM studies published over a 30-year period in leading journals. By contrasting the review results with state-of-the-art guidelines for use of the method, we identify several areas that offer room of improvement when applying PLS-SEM in HRM studies. Our findings offer important guidance for future use of the PLS-SEM method in HRM and related fields.
Subjects
guidelines
HRM
Partial least squares
PLS-SEM
review
structural equation modeling
DDC Class
330: Wirtschaft
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