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
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.