Designing a Fuzzy Inference System for Predicting the Implementation Success of ERP Solution
Implementation of Enterprise Resource Planning has had a chaotic history in which many projects ended successfully and many failed or ended without approaching the predetermined objectives. This research, in terms of purpose, is considered fundamental since it designs a new system for solving a fund...
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| Format: | Article |
| Language: | English |
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University of Tehran
2013-03-01
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| Series: | Journal of Information Technology Management |
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| Online Access: | https://jitm.ut.ac.ir/article_30052_9cafc61bdcccaff7f431b53e4f8e4770.pdf |
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| author | mohammad ali Shafia amir Manian iman Raeesi Vanani |
| author_facet | mohammad ali Shafia amir Manian iman Raeesi Vanani |
| author_sort | mohammad ali Shafia |
| collection | DOAJ |
| description | Implementation of Enterprise Resource Planning has had a chaotic history in which many projects ended successfully and many failed or ended without approaching the predetermined objectives. This research, in terms of purpose, is considered fundamental since it designs a new system for solving a fundamental problem and it is also an applied research because the research result is deployed in the organization for determining the implementation success ratio. The research utilizes the content analysis for identifying the factors and indicators and uses a survey research for gathering data from selected organizations. In this study, for overcoming the problems of implementation project, a fuzzy system has been designed, trained and validated using the Adaptive Neuro-Fuzzy Inference System so as to predict the implementation success ratio before the initiation of the project. The research output is an intelligent fuzzy inference system. |
| format | Article |
| id | doaj-art-f926e40b3ce942b0bfdd2d1a2f3aa4c3 |
| institution | OA Journals |
| issn | 2008-5893 2423-5059 |
| language | English |
| publishDate | 2013-03-01 |
| publisher | University of Tehran |
| record_format | Article |
| series | Journal of Information Technology Management |
| spelling | doaj-art-f926e40b3ce942b0bfdd2d1a2f3aa4c32025-08-20T02:22:28ZengUniversity of TehranJournal of Information Technology Management2008-58932423-50592013-03-01519810610.22059/jitm.2013.3005230052Designing a Fuzzy Inference System for Predicting the Implementation Success of ERP Solutionmohammad ali Shafia0amir Manian1iman Raeesi Vanani2دانشیار گروه فناوری صنعتی، دانشکدهی مهندسی صنایع، دانشگاه علم و صنعت، تهران، ایراندانشیار گروه مدیریت فناوری اطلاعات، دانشکدهی مدیریت، دانشگاه تهران، ایراندانشجوی دکترای مدیریت فناوری اطلاعات، دانشکدهی مدیریت، دانشگاه تهران، ایرانImplementation of Enterprise Resource Planning has had a chaotic history in which many projects ended successfully and many failed or ended without approaching the predetermined objectives. This research, in terms of purpose, is considered fundamental since it designs a new system for solving a fundamental problem and it is also an applied research because the research result is deployed in the organization for determining the implementation success ratio. The research utilizes the content analysis for identifying the factors and indicators and uses a survey research for gathering data from selected organizations. In this study, for overcoming the problems of implementation project, a fuzzy system has been designed, trained and validated using the Adaptive Neuro-Fuzzy Inference System so as to predict the implementation success ratio before the initiation of the project. The research output is an intelligent fuzzy inference system.https://jitm.ut.ac.ir/article_30052_9cafc61bdcccaff7f431b53e4f8e4770.pdfANFIScontent analysisEnterprise resource planningFuzzy Inference System. |
| spellingShingle | mohammad ali Shafia amir Manian iman Raeesi Vanani Designing a Fuzzy Inference System for Predicting the Implementation Success of ERP Solution Journal of Information Technology Management ANFIS content analysis Enterprise resource planning Fuzzy Inference System. |
| title | Designing a Fuzzy Inference System for Predicting the Implementation Success of ERP Solution |
| title_full | Designing a Fuzzy Inference System for Predicting the Implementation Success of ERP Solution |
| title_fullStr | Designing a Fuzzy Inference System for Predicting the Implementation Success of ERP Solution |
| title_full_unstemmed | Designing a Fuzzy Inference System for Predicting the Implementation Success of ERP Solution |
| title_short | Designing a Fuzzy Inference System for Predicting the Implementation Success of ERP Solution |
| title_sort | designing a fuzzy inference system for predicting the implementation success of erp solution |
| topic | ANFIS content analysis Enterprise resource planning Fuzzy Inference System. |
| url | https://jitm.ut.ac.ir/article_30052_9cafc61bdcccaff7f431b53e4f8e4770.pdf |
| work_keys_str_mv | AT mohammadalishafia designingafuzzyinferencesystemforpredictingtheimplementationsuccessoferpsolution AT amirmanian designingafuzzyinferencesystemforpredictingtheimplementationsuccessoferpsolution AT imanraeesivanani designingafuzzyinferencesystemforpredictingtheimplementationsuccessoferpsolution |