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Florian Schuberth
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2020 – today
- 2023
- [j11]Ana Castillo López, Laura Ruiz, Jose Benitez, Florian Schuberth, Rafael Reina:
IT impact on open innovation performance: Insights from a large-scale empirical investigation. Decis. Support Syst. 175: 114025 (2023) - [j10]Xi Yu, Florian Schuberth, Jörg Henseler:
Specifying composites in structural equation modeling: A refinement of the Henseler-Ogasawara specification. Stat. Anal. Data Min. 16(4): 348-357 (2023) - 2022
- [j9]Florian Schuberth, Sam Zaza, Jörg Henseler:
Partial Least Squares is an Estimator for Structural Equation Models: A Comment on Evermann and Rönkkö (2021). Commun. Assoc. Inf. Syst. 52: 47 (2022) - [j8]Michael Klesel, Florian Schuberth, Björn Niehaves, Jörg Henseler:
Multigroup Analysis in Information Systems Research using PLS-PM: A Systematic Investigation of Approaches. ACM SIGMIS Database 53(3): 26-48 (2022) - 2021
- [j7]Xi Yu, Sam Zaza, Florian Schuberth, Jörg Henseler:
Counterpoint: Representing Forged Concepts as Emergent Variables Using Composite-Based Structural Equation Modeling. Data Base 52(SI): 114-130 (2021) - [j6]Geoffrey S. Hubona, Florian Schuberth, Jörg Henseler:
A clarification of confirmatory composite analysis (CCA). Int. J. Inf. Manag. 61: 102399 (2021) - [j5]Ellen Roemer, Florian Schuberth, Jörg Henseler:
HTMT2-an improved criterion for assessing discriminant validity in structural equation modeling. Ind. Manag. Data Syst. 121(12): 2637-2650 (2021) - [c1]Christof Weiss, Johannes Zeitler, Tim Zunner, Florian Schuberth, Meinard Müller:
Learning Pitch-Class Representations from Score-Audio Pairs of Classical Music. ISMIR 2021: 746-753 - 2020
- [j4]Jose Benitez, Jörg Henseler, Ana Castillo López, Florian Schuberth:
How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research. Inf. Manag. 57(2): 103168 (2020) - [j3]Florian Schuberth, Manuel Elias Rademaker, Jörg Henseler:
Estimating and assessing second-order constructs using PLS-PM: the case of composites of composites. Ind. Manag. Data Syst. 120(12): 2211-2241 (2020)
2010 – 2019
- 2019
- [b1]Florian Schuberth:
Composite-based Methods in Structural Equation Modeling. Julius Maximilians University Würzburg, Germany, 2019 - [j2]Manuel Elias Rademaker, Florian Schuberth, Theo K. Dijkstra:
Measurement error correlation within blocks of indicators in consistent partial least squares. Internet Res. 29(3): 448-463 (2019) - [j1]Michael Klesel, Florian Schuberth, Jörg Henseler, Björn Niehaves:
A test for multigroup comparison using partial least squares path modeling. Internet Res. 29(3): 464-477 (2019)
Coauthor Index
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