Abstract
This study investigates the intellectual core of mobile payment (MP) research through citation analysis, co-citation analysis, cluster analysis, and multidimensional scaling (MDS), based on 111 highly cited articles published between January 1996 and December 2023 in the Web of Science (WoS) database. The analysis reveals 13 core knowledge clusters: (1) mobile money, (2) trust in mobile banking, (3) risk factors in digital banking, (4) service quality, (5) UTAUT-based decision frameworks, (6) beliefs, (7) IT adoption decision-making, (8) trust, (9) perceived value, (10) compatibility, (11) relative advantage, (12) social influence, and (13) intention to use and continued use of information systems. These clusters reflect the evolution of MP research from foundational theories to practical, user-oriented applications. By mapping key themes and identifying influential research directions, this study offers valuable insights for scholars and practitioners, contributing to a deeper understanding of the field and providing a structured basis for future research.
| Original language | English |
|---|---|
| Journal | Journal of Organizational and End User Computing |
| Volume | 37 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2025 |
Bibliographical note
Publisher Copyright:© 2025 IGI Global. All rights reserved.
Keywords
- Co-Citation Analysis
- Core Knowledge
- Digital Banking
- Mobile Money
- Mobile Payment
- Trust
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Science Applications
- Strategy and Management