dr. F. Schuberth (Florian)

Business & Economics

# Information Systems Research
# Modeling
# Monte Carlo Simulation
# Partial Least Squares
# Structural Equation Modeling

Mathematics

# Partial Least Squares
# Structural Equation Modeling

Social Sciences

# Structural Model

Faculty of Engineering Technology (ET), Product–Market Relations (PMR)

Benitez Avila, C. A. , Schuberth, F., & Copeland, S. (2023). Mastery and social position: factors in negotiating urban social resilience. Humanities and Social Sciences Communications, 10(1), Article 701. https://doi.org/10.1057/s41599-023-02217-5

Yu, X. (2023). Incorporating Composites in Structural Equation Modeling: Exploiting the Henseler—Ogasawara Specification. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036557214

Schuberth, F. (2023). A new approach for specifying composites in structural equation models: The Henseler–Ogasawara Specification. Abstract from 10th European Congress of Methodology, EAM 2023, Ghent, Belgium.

Schuberth, F., Schamberger, T. , & Henseler, J. (2023). More powerful parameter tests? No, rather biased parameter estimates. Some reflections on path analysis with weighted composites. Behavior research methods. Advance online publication. https://doi.org/10.3758/s13428-023-02256-5

Müller, T. (2023). Studying theoretical concepts in management research: Categorization, operationalization, and validation using partial least squares path modeling. [PhD Thesis - Research external, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036555395

Schuberth, F., Hubona, G., Roemer, E., Zaza, S., Schamberger, T., Chuah, F., Cepeda-Carrión, G. , & Henseler, J. (2023). The choice of structural equation modeling technique matters: A commentary on Dash and Paul (2021). Technological forecasting and social change, 194, Article 122665. https://doi.org/10.1016/j.techfore.2023.122665

Schuberth, F., Schamberger, T., Rönkkö, M., Liu, Y. , & Henseler, J. (2023). Premature Conclusions about the Signal-to-Noise Ratio in Structural Equation Modeling Research: A Commentary on Yuan and Fang (2023). British journal of mathematical and statistical psychology, 76(3), 682-694. Advance online publication. https://doi.org/10.1111/bmsp.12304

Castillo, A., Ruiz, L., Benitez, J. , Schuberth, F., & Reina, R. (2023). IT impact on open innovation performance: Insights from a large-scale empirical investigation. Decision support systems, Article 114025. Advance online publication. https://doi.org/10.1016/j.dss.2023.114025

Yu, X. , Schuberth, F. , & Henseler, J. (2023). Specifying composites in growth curve analysis. Abstract from Advanced Techniques for Longitudinal Data Analysis in Social Science, ATLASS 2023 , Bielefeld, North Rhine-Westphalia, Germany.

Alamer, A. , Schuberth, F. , & Henseler, J. (Accepted/In press). When and how to use confirmatory composite analysis in second language research. Studies in Second Language Acquisition.

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Naar mijn profiel

Bachelor

Creative Technology

Master

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.