Joseph F. Hair Jr.G. Tomas M. HultChristian M. RingleMarko Sarstedt2026-03-092026-03-092021978-3-319-69623-982https://doi.org/10.1007/978-3-030-80519-7https://link.springer.com/openurl?genre=book&isbn=978-3-030-80519-7http://bibliovirtual.umar.mx:4000/handle/123456789/1933Libro electrónicoPartial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method’s flexibility in terms of data requirements and measurement specification.en-USBook