Cited 0 time in
Drivers of Mobile Banking Super-App Adoption: Across Different Service Integration Levels
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Dongyeon | - |
| dc.contributor.author | Hong, Soongoo | - |
| dc.contributor.author | Je, Youngmin | - |
| dc.contributor.author | Ryu, Min Ho | - |
| dc.date.accessioned | 2025-07-28T05:00:19Z | - |
| dc.date.available | 2025-07-28T05:00:19Z | - |
| dc.date.issued | 2025-06 | - |
| dc.identifier.issn | 0718-1876 | - |
| dc.identifier.issn | 0718-1876 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/208338 | - |
| dc.description.abstract | The surge in digital transformation within financial technology has catalyzed the development of super-apps-comprehensive mobile applications designed to serve a multitude of a customer's daily needs on a single platform. Despite their widespread use, there is a dearth of research regarding customer adoption in the banking industry. Employing the integrated Information Systems (IS) success model, this study delves into how the characteristics of mobile banking super-apps influence user adoption intentions, taking into account various levels of service integration, in South Korea. The results reveal that factors such as interactivity, service diversity, process completeness, and technological service innovation positively affect the perceived ease of use. However, only service diversity and process completeness significantly influence perceived usefulness. Furthermore, distinct relationships between constructs are observed among different user groups based on their preferred service integration levels. This research can help banks formulate app management strategies and identify the optimal levels of service integration for their mobile banking super-apps. | - |
| dc.format.extent | 19 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Editorial Universidad de Talca | - |
| dc.title | Drivers of Mobile Banking Super-App Adoption: Across Different Service Integration Levels | - |
| dc.type | Article | - |
| dc.publisher.location | 칠레 | - |
| dc.identifier.doi | 10.3390/jtaer20020143 | - |
| dc.identifier.scopusid | 2-s2.0-105009146477 | - |
| dc.identifier.wosid | 001516787400001 | - |
| dc.identifier.bibliographicCitation | Journal of Theoretical and Applied Electronic Commerce Research, v.20, no.2, pp 1 - 19 | - |
| dc.citation.title | Journal of Theoretical and Applied Electronic Commerce Research | - |
| dc.citation.volume | 20 | - |
| dc.citation.number | 2 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 19 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | ssci | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Business & Economics | - |
| dc.relation.journalWebOfScienceCategory | Business | - |
| dc.subject.keywordPlus | INFORMATION-SYSTEMS SUCCESS | - |
| dc.subject.keywordPlus | PERCEIVED USEFULNESS | - |
| dc.subject.keywordPlus | USAGE INTENTION | - |
| dc.subject.keywordPlus | USER ACCEPTANCE | - |
| dc.subject.keywordPlus | QUALITY | - |
| dc.subject.keywordPlus | TRUST | - |
| dc.subject.keywordPlus | TECHNOLOGY | - |
| dc.subject.keywordPlus | IMPACT | - |
| dc.subject.keywordPlus | MODEL | - |
| dc.subject.keywordPlus | RISK | - |
| dc.subject.keywordAuthor | super-app | - |
| dc.subject.keywordAuthor | mobile banking | - |
| dc.subject.keywordAuthor | service integration levels | - |
| dc.subject.keywordAuthor | IS success model | - |
| dc.subject.keywordAuthor | technology acceptance model | - |
| dc.identifier.url | https://www.mdpi.com/0718-1876/20/2/143 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1366
COPYRIGHT © 2024 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
