The Core Critical Success Factors in Implementation of Enterprise Resource Planning Systems

The Implementation of Enterprise Resource Planning (ERP) systems require huge investments while ineffective implementations of such projects are commonly observed. A considerable number of these projects have been reported to fail or take longer than it was initially planned, while previous studies...

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Bibliographic Details
Published in:International journal of enterprise information systems 2010-04, Vol.6 (2), p.82-111
Main Authors: Dadbin, Shabnam, Gholami, Roya, Standage, Nicholas, Hanafizadeh, Payam
Format: Article
Language:English
Subjects:
Business success
Content analysis
Costs
Enterprise resource planning
Enterprisewide computing
Entropy
Entropy (Information theory)
Evaluation
Failure
Information systems
International business enterprises
Investments
Management
Managers
Marketing
Mathematical models
Success factors
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Summary:The Implementation of Enterprise Resource Planning (ERP) systems require huge investments while ineffective implementations of such projects are commonly observed. A considerable number of these projects have been reported to fail or take longer than it was initially planned, while previous studies show that the aim of rapid implementation of such projects has not been successful and the failure of the fundamental goals in these projects have imposed huge amounts of costs on investors. Some of the major consequences are the reduction in demand for such products and the introduction of further skepticism to the managers and investors of ERP systems. In this regard, it is important to understand the factors determining success or failure of ERP implementation. The aim of this paper is to study the critical success factors (CSFs) in implementing ERP systems and to develop a conceptual model which can serve as a basis for ERP project managers. These critical success factors that are called “core critical success factors” are extracted from 62 published papers using the content analysis and the entropy method. The proposed conceptual model has been verified in the context of five multinational companies.
ISSN:1548-1115
1548-1123
DOI:10.4018/jeis.2010040105