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

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Published: Feb 3, 2023
Keywords:
D & M IS Success Model, ERP System Quality, ERP Information Quality, ERP Service Quality, ERP Post-implementation Benefits

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Lemma Lessa
Addis Ababa University, Assistant Professor of Information Systems, School of Information Science, Addis Ababa, Ethiopia
Tigist Mekonnen
Addis Ababa University, School of Information Science, Addis Ababa, Ethiopia
Solomon Negash
Kennesaw State University, Professor of Information Systems, Department of Information Systems & Security, Kennesaw, USA

Abstract

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 postimplementation 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 the effects on ERP postimplementation success. A total of 233 questionnaires were collected from ERP users at the
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 postimplementation success.

Article Details

Issue
Vol 5 No 2 (2022): Systematic Literature Review on Corporate Social Responsibility Practice of Organization
Section
Articles
Author Biographies

Lemma Lessa, Addis Ababa University, Assistant Professor of Information Systems, School of Information Science, Addis Ababa, Ethiopia

Addis Ababa University, Assistant Professor of Information Systems, School of Information
Science, Addis Ababa, Ethiopia

Tigist Mekonnen, Addis Ababa University, School of Information Science, Addis Ababa, Ethiopia

Addis Ababa University, School of Information Science, Addis Ababa, Ethiopia

Solomon Negash, Kennesaw State University, Professor of Information Systems, Department of Information Systems & Security, Kennesaw, USA

Kennesaw State University, Professor of Information Systems, Department of Information
Systems & Security, Kennesaw, USA