Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/154148
Título: The choice of structural equation modeling technique matters
Autor: Schuberth, Florian
Hubona, Geoffrey S.
Roemer,  Ellen
Zaza, Sam
Schamberger, Tamara Svenja
Chuah, Francis
Cepeda-Carrión, Gabriel
Henseler, Jörg
Palavras-chave: Structural equation modeling (SEM)
Covariance-based structural equation modeling (CB-SEM)
Partial least squares based structural equation modeling (PLS-SEM)
Consistent partial least squares (PLSc)
Business and International Management
Applied Psychology
Management of Technology and Innovation
Data: 1-Set-2023
Resumo: Ganesh Dash and Justin Paul authored an article titled “CB-SEM vs. PLS-SEM methods for research in social science and technological forecasting” in a special issue of Technological Forecasting and Social Change, co-edited by Justin Paul. Unfortunately, the article’s central conclusion – “CB or PLS or PLSc do not matter” – is misleading and at odds with practically all extant conceptual and empirical research on this subject. This commentary identifies an unsuitable research design to be the major cause of the erroneous conclusion and aims to set the record straight. A Monte Carlo simulation demonstrates that the choice of the approach to structural equation modeling can have a substantial impact on the results and their validity. In general, analysts should choose a structural equation modeling approach that fits their conceptual model.
Descrição: Schuberth, F., Hubona, G. S., Roemer, E., Zaza, S., Schamberger, T. S., Chuah, F., Cepeda-Carrión, G., & Henseler, J. (2023). The choice of structural equation modeling technique matters: A comment on Dash and Paul (2021). Technological Forecasting and Social Change, 194(September), 1-11. [122665]. https://doi.org/10.1016/j.techfore.2023.122665---The last author gratefully acknowledges financial support from FCT Fundação para a Ciência e a Tecnologia (Portugal) national funding through a research grant from the Information Management Research Center – MagIC/NOVA IMS ( UIDB/04152/2020 ). He also acknowledges a financial interest in the composite-based SEM software ADANCO and its distributor, Composite Modeling. The authors thank Alexandra Elbakyan for her efforts in making science accessible. Last but not least, the authors especially thank the editor of Technological Forecasting and Social Change, Scott Cunningham, for granting the opportunity to write this commentary.
Peer review: yes
URI: http://hdl.handle.net/10362/154148
DOI: https://doi.org/10.1016/j.techfore.2023.122665
ISSN: 0040-1625
Aparece nas colecções:NIMS: MagIC - Artigos em revista internacional com arbitragem científica (Peer-Review articles in international journals)

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