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Digital financial literacy and financial well-being
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“According to Choung [26], DFL affects perceived usefulness by enhancing individuals' ability to assess platform features, compare loan conditions, and identify value propositions that correspond to their business needs.”
From Enhancing Digital Financial Literacy and Digital Trust for Sustainable Online Loan Adoption among Micro-Entrepreneurs in Developing Economies (2026) · cites this paper as [26]
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“where perceived usefulness often dominates (e.g., Choung et al., 2023 [26])”
From Enhancing Digital Financial Literacy and Digital Trust for Sustainable Online Loan Adoption among Micro-Entrepreneurs in Developing Economies (2026) · cites this paper as [26]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“where perceived usefulness often dominates (e.g., Choung et al., 2023 [26])”
From Enhancing Digital Financial Literacy and Digital Trust for Sustainable Online Loan Adoption among Micro-Entrepreneurs in Developing Economies (2026) · cites this paper as Choung et al., 2023
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Citations
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Metadata
- Authors
- Choung, Y., Chatterjee, S., & Pak, T.-Y.
- Affiliations
- Inha University (KR)
- University of Georgia (US)
- Sungkyunkwan University (KR)
- Corresponding author
- Pak, Tae-Young
- Venue
- Finance research letters
- Publisher
- Elsevier BV
- Published
- 2023-12
- Volume
- 58
- Pages
- 104438
- ISSN
- 1544-6123 (ISSN-L)
- OpenAlex
- W4386483653
- Cited by
- 310
- References
- 47
- Citations by year
- 2026: 175 · 2025: 84 · 2024: 47 · 2023: 4
- FWCI
- 116.99
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Finance research letters (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Econstor (Econstor) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Finance › Financial Literacy, Pension, Retirement Analysis
- Social Sciences › Business, Management and Accounting › Accounting › Financial Literacy and Behavior
- Social Sciences › Business, Management and Accounting › Management Information Systems › FinTech, Crowdfunding, Digital Finance
- Keywords
- digital financial literacy, financial well-being, financial knowledge, financial education, sociodemographic differences, Korean adults
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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