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Proposition of a New ex-ante Evaluation Method for Adapting and Selecting ERP Solutions


 
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1. Title Title of document Proposition of a New ex-ante Evaluation Method for Adapting and Selecting ERP Solutions
 
2. Creator Author's name, affiliation, country Abdelillah Khaled; TIME, ENSIAS, Mohammed V University in Rabat; Morocco
 
2. Creator Author's name, affiliation, country Mohammed Abdou Janati Idrissi; TIME, ENSIAS, Mohammed V University in Rabat; Morocco
 
3. Subject Discipline(s)
 
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4. Description Abstract Acquiring an ERP system is one of the most risky, tedious and complex decision making activity for any organization. It has been widely reported that selecting an inappropriate ERP is a one of the major reason for its implementation failure. In this present paper, we develop a new ex-ante evaluation method for ERP system tailoring and selection. The proposed method, called SEVALERPS (Systematic Evaluation of ERP Systems), is basically elaborated to help organizations, especially large ones, to better customize and evaluate the potential ERP solutions in order to choose the ones that make their best requirements’ tradeoff. SEVALERPS relies on many sound mathematical techniques to handle various evaluation aspects: 0-1 linear programming to choose the best ERP tailoring scenarios, MACBETH to voice out the preferences of the selection team in both qualitative and quantitative way, and the discrete Choquet integral to address interdependencies that might exist among evaluation criteria.
 
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6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2015-11-15
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier https://www.revue-eti.net/index.php/eti/article/view/16
 
11. Source Title; vol., no. (year) Electronic Journal of Information Technology; Issue 8
 
12. Language English=en
 
13. Relation Supp. Files
 
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15. Rights Copyright and permissions Copyright (c) 2015 Abdelillah Khaled, Mohammed Abdou Janati Idrissi
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This work is licensed under a Creative Commons Attribution 4.0 International License.