Advancing family business research through modeling nonlinear relationships : comparing PLS-SEM and multiple regression

Link:
Autor/in:
Verlag/Körperschaft:
Hamburg University of Technology
Erscheinungsjahr:
2022
Medientyp:
Text
Schlagworte:
  • Partial least squares structural equation modeling
  • PLS-SEM
  • nonlinear effects
  • nonlinear relationships
  • quadratic effects
  • 330: Wirtschaft
Beziehungen:
DOI 10.1016/j.jfbs.2021.100457
Quellsystem:
TUHH Open Research
Interne Metadaten
Quelldatensatz
oai:tore.tuhh.de:11420/10507