A bibliographic corpus and topic modeling outputs used for a bibliometric review of Digital Financial Literacy and Fintech Adoption research. The dataset includes the bibliographic corpus, MALLET topic modeling outputs, and an R data file. It was authored by Nurul, Mochammad and hosted on Harvard Dataverse, with a last update timestamp of 2026-05-31 22:09:35.
Use Cases
- Perform bibliometric analysis based on the provided bibliographic corpus
- Apply topic modeling techniques using the included MALLET outputs
- Reproduce the original study's findings using the supplied R data file
- Explore research trends in digital financial literacy and fintech adoption
Strengths
- Includes the complete bibliographic corpus used in the original analysis
- Provides the specific MALLET topic modeling outputs for reproducibility
- Contains an R data file facilitating direct reuse of the analysis
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
- Description metadata is limited; actual data quality requires manual inspection after download
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Likely compiled from academic literature for a specific bibliometric review.
- Freshness
- Last updated 2026-05-31 22:09:35; freshness should be verified