Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박현지 | - |
dc.date.accessioned | 2024-06-25T06:47:21Z | - |
dc.date.available | 2024-06-25T06:47:21Z | - |
dc.date.issued | 2022-05-30 | - |
dc.identifier.citation | 한국IT서비스학회지(Journal of Information Technology Services), v. 21, no 3, page. 1-25 | en_US |
dc.identifier.issn | 1975-4256 | en_US |
dc.identifier.uri | https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002859302 | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/190970 | - |
dc.description.abstract | The financial MyData service has implemented in January 2022 and launched 45 services by banks, securities, credit cards and fintech companies. This study applied the Q methodology, to identify the user types of MyData services and compared the perceptions of employees of financial institutions who plan and develop the MyData services. There are three types of MyData service users: active users, limited users who focus on consumption and asset status inquiry, and sensitive users for personal information. There were two types of recognition of financial company employees. One is the active user support other is the sensitive user for personal information support. The analysis of subjective perceptions can be used as a reference for establishing a company's MyData service marketing strategy and establishing related policies to improve the MyData ecosystem. | en_US |
dc.description.sponsorship | 이 논문은 2019년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임(NRF-2019S1A5C2A04083153). | en_US |
dc.language | ko | en_US |
dc.publisher | 한국IT서비스학회 | en_US |
dc.relation.ispartofseries | v. 21, no 3;1-25 | - |
dc.subject | MyData Services | en_US |
dc.subject | Digital Finance | en_US |
dc.subject | Q Methodology | en_US |
dc.subject | Comparative Analysis | en_US |
dc.title | 마이데이터 서비스 수용 의도와 요인에 대한 사용자와 금융사 직원의 인식 비교 연구: Q 방법론을 활용하여 | en_US |
dc.title.alternative | A Comparative Analysis on the Perceptions of Users' and Financial Company Employees' on MyData Services: Using Q Methodology | en_US |
dc.type | Article | en_US |
dc.relation.no | 3 | - |
dc.relation.volume | 21 | - |
dc.identifier.doi | https://doi.org/10.9716/KITS.2022.21.3.001 | en_US |
dc.relation.page | 1-25 | - |
dc.relation.journal | 한국IT서비스학회지 | - |
dc.contributor.googleauthor | 이정우 | - |
dc.contributor.googleauthor | 김철민 | - |
dc.contributor.googleauthor | 송영규 | - |
dc.contributor.googleauthor | 박현지 | - |
dc.relation.code | 2022000570 | - |
dc.sector.campus | E | - |
dc.sector.daehak | RESEARCH INSTITUTE[E] | - |
dc.sector.department | INSTITUTE FOR KNOWLEDGE SERVICES | - |
dc.identifier.pid | hyungee84 | - |
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