Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/313130 
Year of Publication: 
2023
Citation: 
[Journal:] Journal of Marketing Analytics [ISSN:] 2050-3326 [Volume:] 12 [Issue:] 1 [Publisher:] Blackwell Publishing Ltd [Place:] Oxford, UK [Year:] 2023 [Pages:] 87-96
Publisher: 
Blackwell Publishing Ltd, Oxford, UK
Abstract: 
To identify potential mediating effects, researchers applying partial least squares structural equation modeling (PLS-SEM) typically contrast specific indirect and direct effects in a sequence of steps. Extending this standard procedure, we conceive mediation analysis as a type of model comparison, which facilitates quantifying the degree of the model effects' uncertainty induced by the introduction of the mediator. By introducing a new dimension of quality assessment, the procedure offers a new means for deciding whether or not to introduce a mediator in a PLS path model, and improves the replicability of research results.
Subjects: 
Partial least squares structural equation modeling
PLS-SEM
Mediation
Uncertainty
Akaike weights
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.