The PLS agent : predictive modeling with PLS-SEM and agent-based simulation
Year of publication: |
October 2016
|
---|---|
Authors: | Schubring, Sandra ; Lorscheid, Iris ; Meyer, Matthias ; Ringle, Christian M. |
Published in: |
Journal of business research : JBR. - New York, NY : Elsevier, ISSN 0148-2963, ZDB-ID 189773-1. - Vol. 69.2016, 10, p. 4604-4612
|
Subject: | Partial least squares path modeling | PLS-SEM | Agent-based simulation | ABS | Predictive modeling | TAM | Simulation | Agentenbasierte Modellierung | Agent-based modeling | Partielle kleinste Quadrate | Partial least squares | Prognoseverfahren | Forecasting model | Kleinste-Quadrate-Methode | Least squares method |
-
Cho, Gyeongcheol, (2023)
-
Reviewing the SmartPLS 4 software : the latest features and enhancements
Cheah, Jun-Hwa, (2024)
-
Executing and interpreting applications of PLS-SEM : updates for family business researchers
Hair, Joseph F., (2021)
- More ...
-
Innoage : Innovation and Product Development for Aging Users
Iffländer, Klaus, (2014)
-
InnoAge - innovation and product development for aging users
Iffländer, Klaus, (2012)
-
When predictors of outcomes are necessary : guidelines for the combined use of PLS-SEM and NCA
Richter, Nicole Franziska, (2020)
- More ...