Evaluation Framework For Core Banking Modules Based On Business Intelligence Criteria
This research attempted to evaluate Business Intelligence criteria accelerating further development of Core Banking System with creating meaningful analysis, decision support environment and optimizing the investments. By reviewing the related literature, Business Intelligence criteria were determin...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Tehran
2016-07-01
|
| Series: | Journal of Information Technology Management |
| Subjects: | |
| Online Access: | https://jitm.ut.ac.ir/article_57368_6fb4407a8af897eae9d75f8b87ab8110.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849324379277623296 |
|---|---|
| author | Saeed Rouhani Homa Hamidi |
| author_facet | Saeed Rouhani Homa Hamidi |
| author_sort | Saeed Rouhani |
| collection | DOAJ |
| description | This research attempted to evaluate Business Intelligence criteria accelerating further development of Core Banking System with creating meaningful analysis, decision support environment and optimizing the investments. By reviewing the related literature, Business Intelligence criteria were determined and the importance and priority of each criterion specified on the basis of questionnaire and doing Friedman and Binomial tests. This research presented an evaluation model based on the fuzzy multi-criteria decision making (Fuzzy TOPSIS) method. In the fuzzy-based method, weight of each criterion and results of assignable intelligence were described using linguistic terms, which can also be expressed as triangular fuzzy numbers. According to the findings, Risk Management System ranked as the first module with the largest distance from the negative ideal which indicated that this system had appropriate Business Intelligence capabilities to fortify decision support environment. |
| format | Article |
| id | doaj-art-a711c7a8745a436296e828a09bb49384 |
| institution | Kabale University |
| issn | 2008-5893 2423-5059 |
| language | English |
| publishDate | 2016-07-01 |
| publisher | University of Tehran |
| record_format | Article |
| series | Journal of Information Technology Management |
| spelling | doaj-art-a711c7a8745a436296e828a09bb493842025-08-20T03:48:42ZengUniversity of TehranJournal of Information Technology Management2008-58932423-50592016-07-018231533410.22059/jitm.2016.5736857368Evaluation Framework For Core Banking Modules Based On Business Intelligence CriteriaSaeed Rouhani0Homa Hamidi1Assistant Prof., Faculty of Management Department, Tehran University, Tehran, IranMSc., in Information Technology Management, Mehr Alborz University, Tehran, IranThis research attempted to evaluate Business Intelligence criteria accelerating further development of Core Banking System with creating meaningful analysis, decision support environment and optimizing the investments. By reviewing the related literature, Business Intelligence criteria were determined and the importance and priority of each criterion specified on the basis of questionnaire and doing Friedman and Binomial tests. This research presented an evaluation model based on the fuzzy multi-criteria decision making (Fuzzy TOPSIS) method. In the fuzzy-based method, weight of each criterion and results of assignable intelligence were described using linguistic terms, which can also be expressed as triangular fuzzy numbers. According to the findings, Risk Management System ranked as the first module with the largest distance from the negative ideal which indicated that this system had appropriate Business Intelligence capabilities to fortify decision support environment.https://jitm.ut.ac.ir/article_57368_6fb4407a8af897eae9d75f8b87ab8110.pdfBusiness IntelligenceCore Banking SystemsEvaluation modelFuzzy TOPSIS Method |
| spellingShingle | Saeed Rouhani Homa Hamidi Evaluation Framework For Core Banking Modules Based On Business Intelligence Criteria Journal of Information Technology Management Business Intelligence Core Banking Systems Evaluation model Fuzzy TOPSIS Method |
| title | Evaluation Framework For Core Banking Modules Based On Business Intelligence Criteria |
| title_full | Evaluation Framework For Core Banking Modules Based On Business Intelligence Criteria |
| title_fullStr | Evaluation Framework For Core Banking Modules Based On Business Intelligence Criteria |
| title_full_unstemmed | Evaluation Framework For Core Banking Modules Based On Business Intelligence Criteria |
| title_short | Evaluation Framework For Core Banking Modules Based On Business Intelligence Criteria |
| title_sort | evaluation framework for core banking modules based on business intelligence criteria |
| topic | Business Intelligence Core Banking Systems Evaluation model Fuzzy TOPSIS Method |
| url | https://jitm.ut.ac.ir/article_57368_6fb4407a8af897eae9d75f8b87ab8110.pdf |
| work_keys_str_mv | AT saeedrouhani evaluationframeworkforcorebankingmodulesbasedonbusinessintelligencecriteria AT homahamidi evaluationframeworkforcorebankingmodulesbasedonbusinessintelligencecriteria |