Unlocking the future of digital finance: a comprehensive examination and roadmap through systematic literature and bibliometric analysis

Ranila Suciati et al.

International Journal of Technological Learning, Innovation and Development2026https://doi.org/10.1504/ijtlid.2026.152366article
AJG 1
Weight
0.50

What the paper says

This study provides a comprehensive bibliometric analysis of digital finance research, based on 1,806 publications from the Scopus database published between 1994 and 2024. Findings show a significant rise in publications, especially after 2023, reflecting the growing relevance of digital finance in both academia and practice. Leading journals like Sustainability (Switzerland) and Finance Research Letters dominate the field. Key themes identified include fintech, blockchain, innovation, and financial inclusion. The study also highlights the use of the technology acceptance model (TAM) to explore user adoption of digital finance platforms. Novel to this research, the study examines the evolving intersection of digital finance, economic growth, and sustainability, areas that remain underexplored. Practically, these insights can help policymakers, financial institutions, and fintech companies develop more inclusive and efficient financial services. Future research should focus on the broader societal impact of digital finance and the continued application of TAM.

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https://doi.org/https://doi.org/10.1504/ijtlid.2026.152366

Or copy a formatted citation

@article{ranila2026,
  title        = {{Unlocking the future of digital finance: a comprehensive examination and roadmap through systematic literature and bibliometric analysis}},
  author       = {Ranila Suciati et al.},
  journal      = {International Journal of Technological Learning, Innovation and Development},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijtlid.2026.152366},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.