Assessing the Importance of Various Dimensions of Data Quality in Open Banking Processes
Data is considered as the most important element in open banking processes and services. Therefore, it is necessary to pay attention to various aspects of the quality of this data in order to provide appropriate and expected services to customers. Accordingly, in this research, various dimensions th...
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| Format: | Article |
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Iranian Research Institute for Information and Technology
2025-02-01
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| Series: | Iranian Journal of Information Processing & Management |
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| Online Access: | https://jipm.irandoc.ac.ir/article_722060_78ac8b8b3cc81663eacc90d7c969fa70.pdf |
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| author | Hamid Hassani Hamid Reza Khedmatgozar Farideh Farahnak |
| author_facet | Hamid Hassani Hamid Reza Khedmatgozar Farideh Farahnak |
| author_sort | Hamid Hassani |
| collection | DOAJ |
| description | Data is considered as the most important element in open banking processes and services. Therefore, it is necessary to pay attention to various aspects of the quality of this data in order to provide appropriate and expected services to customers. Accordingly, in this research, various dimensions that represent different aspects of data quality were investigated in the field of open banking. This research has been done in two main steps, Delphi method and pairwise comparisons method. In the first step, based on the Delphi method, various dimensions of data quality in open banking were extracted, and in the next step using the pairwise comparisons method, the importance of each of these dimensions was assessed relative to each other, and the most important dimensions were determined. Based on the results obtained from these two methods, the importance of eleven dimensions of data quality in this field was determined. The best overall weighted averages were related to dimensions accuracy, accessibility, relevancy, timeliness, consistency, security, interpretability, reputation, believability, ease of understanding, and value-added, respectively. Banks and fintechs providing open banking services can consider these dimensions in assessing the quality of their data in order to provide better services. |
| format | Article |
| id | doaj-art-252c42971e4846efae34a796a31589b9 |
| institution | OA Journals |
| issn | 2251-8223 2251-8231 |
| language | fas |
| publishDate | 2025-02-01 |
| publisher | Iranian Research Institute for Information and Technology |
| record_format | Article |
| series | Iranian Journal of Information Processing & Management |
| spelling | doaj-art-252c42971e4846efae34a796a31589b92025-08-20T01:52:49ZfasIranian Research Institute for Information and TechnologyIranian Journal of Information Processing & Management2251-82232251-82312025-02-0140ویژه نامه انگلیسی310.22034/jipm.2024.2025028.1581722060Assessing the Importance of Various Dimensions of Data Quality in Open Banking ProcessesHamid Hassani0Hamid Reza Khedmatgozar1Farideh Farahnak2Information Technology Department. Iranian Research Institute for Information Science and Technology (IranDoc), Tehran. IranIranian Research Institute for Information Science and Technology (IranDoc)University of Isfahan,; Isfahan,, IranData is considered as the most important element in open banking processes and services. Therefore, it is necessary to pay attention to various aspects of the quality of this data in order to provide appropriate and expected services to customers. Accordingly, in this research, various dimensions that represent different aspects of data quality were investigated in the field of open banking. This research has been done in two main steps, Delphi method and pairwise comparisons method. In the first step, based on the Delphi method, various dimensions of data quality in open banking were extracted, and in the next step using the pairwise comparisons method, the importance of each of these dimensions was assessed relative to each other, and the most important dimensions were determined. Based on the results obtained from these two methods, the importance of eleven dimensions of data quality in this field was determined. The best overall weighted averages were related to dimensions accuracy, accessibility, relevancy, timeliness, consistency, security, interpretability, reputation, believability, ease of understanding, and value-added, respectively. Banks and fintechs providing open banking services can consider these dimensions in assessing the quality of their data in order to provide better services.https://jipm.irandoc.ac.ir/article_722060_78ac8b8b3cc81663eacc90d7c969fa70.pdfopen bankingdata qualitydelphi methodpairwise comparisons |
| spellingShingle | Hamid Hassani Hamid Reza Khedmatgozar Farideh Farahnak Assessing the Importance of Various Dimensions of Data Quality in Open Banking Processes Iranian Journal of Information Processing & Management open banking data quality delphi method pairwise comparisons |
| title | Assessing the Importance of Various Dimensions of Data Quality in Open Banking Processes |
| title_full | Assessing the Importance of Various Dimensions of Data Quality in Open Banking Processes |
| title_fullStr | Assessing the Importance of Various Dimensions of Data Quality in Open Banking Processes |
| title_full_unstemmed | Assessing the Importance of Various Dimensions of Data Quality in Open Banking Processes |
| title_short | Assessing the Importance of Various Dimensions of Data Quality in Open Banking Processes |
| title_sort | assessing the importance of various dimensions of data quality in open banking processes |
| topic | open banking data quality delphi method pairwise comparisons |
| url | https://jipm.irandoc.ac.ir/article_722060_78ac8b8b3cc81663eacc90d7c969fa70.pdf |
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