Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/313130 
Erscheinungsjahr: 
2023
Quellenangabe: 
[Journal:] Journal of Marketing Analytics [ISSN:] 2050-3326 [Volume:] 12 [Issue:] 1 [Publisher:] Blackwell Publishing Ltd [Place:] Oxford, UK [Year:] 2023 [Pages:] 87-96
Verlag: 
Blackwell Publishing Ltd, Oxford, UK
Zusammenfassung: 
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.
Schlagwörter: 
Partial least squares structural equation modeling
PLS-SEM
Mediation
Uncertainty
Akaike weights
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