A Predictive Model for the Successfulness of ERP Systems Implementation
السيد, Ù. (2024). A Predictive Model for the Successfulness of ERP Systems Implementation. EKB Journal Management System, 38(2), 1471-1485. doi: 10.21608/sjrbs.2024.285903.1677
مروه محمد زكريا السيد. "A Predictive Model for the Successfulness of ERP Systems Implementation". EKB Journal Management System, 38, 2, 2024, 1471-1485. doi: 10.21608/sjrbs.2024.285903.1677
السيد, Ù. (2024). 'A Predictive Model for the Successfulness of ERP Systems Implementation', EKB Journal Management System, 38(2), pp. 1471-1485. doi: 10.21608/sjrbs.2024.285903.1677
السيد, Ù. A Predictive Model for the Successfulness of ERP Systems Implementation. EKB Journal Management System, 2024; 38(2): 1471-1485. doi: 10.21608/sjrbs.2024.285903.1677

A Predictive Model for the Successfulness of ERP Systems Implementation

المجلة العلمية للبحوث والدراسات التجارية
Volume 38, Issue 2, June 2024, Page 1471-1485  XML PDF (453.1 K)
Document Type: المقالة الأصلية
DOI: 10.21608/sjrbs.2024.285903.1677
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Author
مروه محمد زكريا السيد email
كليه التجاره واداره الاعمال بقسم نظم معلومات ج حلوان
Abstract
Abstract

Enterprise Resource Planning (ERP) is a must for businesses, since they need to adapt their systems to the ever-changing business environment, technological advancements, and intensifying competition. Most studies omit insights into the priority of ERP systems and CSFs from the instance of ERP stakeholders. Therefore, this study identified categorized critical success factors (CSFs) that led to understanding the stakeholder’s satisfaction upon ERP implementation and assessed the interrelationship between categorized CSFs. A survey was conducted among cross-sectional organizations implementing ERP systems, which included 132 ERP system managers and users. The statistical -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 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
Keywords
Enterprise resource planning systems (ERP); ERP implementation; critical success factors; smart equation
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