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How to perform and report an impactful analysis using partial least squares : guidelines for confirmatory and explanatory IS research

Benitez, Jose; Henseler, Jörg; Castillo, Ana; … - In: Information & management : the internat. journal of … 57 (2020) 2, pp. 1-16

Persistent link: https://www.econbiz.de/10012168973

Using confirmatory composite analysis to assess emergent variables in business research

Henseler, Jörg; Schuberth, Florian - In: Journal of business research : JBR 120 (2020), pp. 147-156

Persistent link: https://www.econbiz.de/10012417110

Beware of the Woozle effect and belief perseverance in the PLS-SEM literature!

Henseler, Jörg; Lee, Nick; Roemer, Ellen; Kemény, Ildikó - In: Electronic Commerce Research 24 (2024) 2, pp. 715-744

Partial least squares structural equation modeling (PLS-SEM) is a popular method of data analysis in marketing, information systems research, and related fields. Unfortunately, the literature on PLS-SEM contains a number of misstatements that ascribe characteristics to PLS-SEM that it does not...

Persistent link: https://www.econbiz.de/10015361291

Categorizing behavioral and formed concepts in sports marketing research

Müller, Tobias; Schuberth, Florian; Henseler, Jörg - In: International journal of sports marketing & sponsorship 25 (2024) 2, pp. 310-329

Persistent link: https://www.econbiz.de/10014505209

Beware of the Woozle effect and belief perseverance in the PLS-SEM literature!

Henseler, Jörg; Lee, Nick; Roemer, Ellen; Kemény, Ildikó - In: Electronic commerce research 24 (2024) 2, pp. 715-744

Persistent link: https://www.econbiz.de/10015062781