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  4. Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers
 
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Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers

Publikationstyp
Journal Article
Date Issued
2014-03-01
Sprache
English
Author(s)
Sarstedt, Marko  
Ringle, Christian M.  orcid-logo
Smith, Donna  
Reams, Russell  
Hair, Joseph F.  
Institut
Personalwirtschaft und Arbeitsorganisation W-9  
TORE-URI
http://hdl.handle.net/11420/4041
Journal
Journal of family business strategy  
Volume
5
Issue
1
Start Page
105
End Page
115
Citation
Journal of Family Business Strategy 5 (1): 105-115 (2014-03-01)
Publisher DOI
10.1016/j.jfbs.2014.01.002
Scopus ID
2-s2.0-84897667833
Structural equation modeling (SEM) has become a mainstream method in many fields of business research, but its use in family business research remains in its infancy. This lag in SEM's application holds especially true for partial least squares SEM (PLS-SEM), an alternative to covariance-based SEM, which provides researchers with more flexibility in terms of data requirements, model complexity and relationship specification. This article draws attention to PLS-SEM as an opportunity to advance the development and testing of theory in family business research by providing a non-technical introduction into the basic concepts and issues of PLS-SEM, bearing the needs of potential users in mind. To this end, a systematic procedure for PLS-SEM results evaluation is presented and applied to an annotated example. The article also illustrates the analysis of mediating effects, which researchers are increasingly testing in their models.
Subjects
Family business research
Mediation
Partial least squares
PLS-SEM
Structural equation modeling
DDC Class
000: Allgemeines, Wissenschaft
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