SIG EntSys - Enterprise System

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Paper Type

Complete

Paper Number

1087

Description

The emergence of Enterprise Resource Planning (ERP) has guided organizations to focus on ensuring their competitive advantages by utilizing its capabilities. This study proposes a theoretical model for measuring ERP post-implementation success and presents empirical findings using a conceptual model derived from the Delone and Mclean Information Systems (IS) success model. Four of the model’s dimensions were identified to measure ERP system post-implementation success namely: ERP system Quality, ERP Information Quality, ERP Service Quality and ERP Post Implementation Benefits. The three quality dimensions of Delone and Mclean’s model were used as independent variables to assess effects on ERP post-implementation success. A total of 233 questionnaires were collected from ERP users at Commercial Bank of Ethiopia and the data was analyzed using Partial Least Square-Structural Equation Modeling (PLS-SEM) techniques. Results show positive relationships between the model constructs, and the model explained 59.31% of the variance in ERP system post-implementation success.

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Aug 10th, 12:00 AM

Respecifying DeLone and McLean Information Systems Success Model for Measuring ERP System Post-implementation Success

The emergence of Enterprise Resource Planning (ERP) has guided organizations to focus on ensuring their competitive advantages by utilizing its capabilities. This study proposes a theoretical model for measuring ERP post-implementation success and presents empirical findings using a conceptual model derived from the Delone and Mclean Information Systems (IS) success model. Four of the model’s dimensions were identified to measure ERP system post-implementation success namely: ERP system Quality, ERP Information Quality, ERP Service Quality and ERP Post Implementation Benefits. The three quality dimensions of Delone and Mclean’s model were used as independent variables to assess effects on ERP post-implementation success. A total of 233 questionnaires were collected from ERP users at Commercial Bank of Ethiopia and the data was analyzed using Partial Least Square-Structural Equation Modeling (PLS-SEM) techniques. Results show positive relationships between the model constructs, and the model explained 59.31% of the variance in ERP system post-implementation success.

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