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Success; ERP success; DEMATEL; Analysing; measurement; Fuzzy Cognitive Mapping (FCM)

2025/02/05 by Naderifard, Atefe, Kazerooni, Mehrdad
Business, Management and Accounting · Computer Science · Decision Sciences · #Analysing #Cognitive Science and Mapping #DEMATEL #ERP Systems Implementation and Impact #ERP success #Fuzzy Cognitive Mapping (FCM) #Success #Technology Adoption and User Behaviour #measurement

paper · doi:10.82374/jiei.2025.1198686

openalex publication_date 2025/02/05 · openalex created_date 2025/11/12 · openalex updated_date 2026/07/07

Abstract

Implementing enterprise resource planning (ERP) systems can be a complex and costly endeavour prone to failure. Hence, it is crucial to identify and manage effective measurement criteria to prevent failure and mitigate negative outcomes during implementation. This study aims to analyse the causal relationships among success measurement criteria within a company engaged in steam boiler construction and production by employing the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. The paper integrates theoretical frameworks with practical applications. The authors extracted 15 ERP success measurement criteria through literature review, interviews, and questionnaires. Subsequently, they utilized the DEMATEL method to assess the importance of these criteria and develop causal interrelationships. Utilizing DEMATEL, it categorizes these metrics into cause and effect clusters. Factors like Enterprise Architecture Improvement, Business Process Improvement, and Employee Involvement are deemed causal, while Customer Service Improvement, Workgroup Improvement, and Competitive Model Improvement are categorized as effects. "Enterprise Architecture Improvement" emerges as the most influential criterion. Understanding these metrics and their relationships aids organizations in enhancing ERP capabilities. This research pioneers categorizing ERP success criteria, facilitating more effective implementation. Valuable insights are provided for ERP implementers, consultants, and researchers involved in ERP projects .

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