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20 January 2025
Reseach Article

Predictive Analysis of Critical Success Factors for Enterprise Resource Planning Systems Implementation

by Marwa Zakarya, Sayed Abdel Gaber, Engy Yehia
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 13
Year of Publication: 2024
Authors: Marwa Zakarya, Sayed Abdel Gaber, Engy Yehia
10.5120/ijca2024923501

Marwa Zakarya, Sayed Abdel Gaber, Engy Yehia . Predictive Analysis of Critical Success Factors for Enterprise Resource Planning Systems Implementation. International Journal of Computer Applications. 186, 13 ( Mar 2024), 8-12. DOI=10.5120/ijca2024923501

@article{ 10.5120/ijca2024923501,
author = { Marwa Zakarya, Sayed Abdel Gaber, Engy Yehia },
title = { Predictive Analysis of Critical Success Factors for Enterprise Resource Planning Systems Implementation },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2024 },
volume = { 186 },
number = { 13 },
month = { Mar },
year = { 2024 },
issn = { 0975-8887 },
pages = { 8-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number13/predictive-analysis-of-critical-success-factors-for-enterprise-resource-planning-systems-implementation/ },
doi = { 10.5120/ijca2024923501 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-03-27T00:44:38.419255+05:30
%A Marwa Zakarya
%A Sayed Abdel Gaber
%A Engy Yehia
%T Predictive Analysis of Critical Success Factors for Enterprise Resource Planning Systems Implementation
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 13
%P 8-12
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Businesses must use ERP and modify their systems to respond to the continually developing business environment, advances in technology, and growing competition. Most studies omit insights into the priority of ERP systems and CSFs from the instance of ERP stakeholders. Therefore, this study identified factors that led to understanding the stakeholder’s satisfaction upon ERP implementation and assessed the interrelationship between the factors. A survey was conducted among organizations implementing ERP systems cross-sectional, which included 132 ERP system managers and users. The descriptive-analytical approach deployed in this study shows that four categorizations of CSFs ERP system can have a positive impact directly on the Satisfaction categorization of ERP system. This study provides a rating of categorized CSFs from the perspective of Managers and users across different organizations. It also enables decision-makers to create appropriate prediction techniques to discover the strengths and limitations of the implemented ERP system and and identifying the most suitable choice within various industries, place a greater importance on "best of fit" solutions rather than "best practice" alternatives. This research shows that four categorizations of CSF ERP systems can positively impact the satisfaction categorization of ERP systems. It also provides a ranking of categorized CSFs from the perspective of managers and users across different industries.

References
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Index Terms

Computer Science
Information Sciences
Enterprise resource planning systems (ERP)
ERP implementation
critical success factors
smart equation

Keywords

CSFs ERP system predictive analysis smart implemented ERP cross sectional study