Using the partial least squares (PLS) method to establish critical success factor interdependence in ERP implementation projects
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/97551
Tipus de documentReport de recerca
Data publicació2002-03
Condicions d'accésAccés obert
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Abstract
This technical research report proposes the usage of a statistical approach named Partial
Least squares (PLS) to define the relationships between critical success factors for ERP
implementation projects. In previous research work, we developed a unified model of
critical success factors for ERP implementation projects. Some researchers have
evidenced the relationships between these critical success factors, however no one has
defined in a formal way these relationships. PLS is one of the techniques of structural
equation modeling approach. Therefore, in this report is presented an overview of this
approach. We provide an example of PLS method modelling application; in this case we
use two critical success factors. However, our project will be extended to all the critical
success factors of our unified model. To compute the data, we are going to use PLS-graph
developed by Wynne Chin.
CitacióEsteves, J., Pastor, J., Casanovas, J. "Using the partial least squares (PLS) method to establish critical success factor interdependence in ERP implementation projects". 2002.
Forma partLSI-02-23-R
Fitxers | Descripció | Mida | Format | Visualitza |
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R02-23.pdf | 146,8Kb | Visualitza/Obre |