Tomasz Szopiński's dataset contains survey data from a pilot study on the acceptance of AI-based tools for personal financial decision-making. The data was gathered via a CAWI survey from 371 respondents at three Polish universities. The study tests a dedicated scale based on the Technology Acceptance Model (TAM), examining constructs like perceived ease of use, usefulness, attitudes, intentions, and actual use.
Use Cases
- Modeling relationships between perceived ease of use and attitudes towards AI tools based on survey constructs.
- Analyzing the indirect impact of perceived usefulness on behavioral intentions through the construct of attitude.
- Testing the validity of an extended TAM model for AI-based financial decision support.
- Investigating the role of AI tools in improving financial literacy as perceived by consumers.
Strengths
- Data is from a representative sample of 371 respondents.
- Survey constructs (PEOU, PU, ATT, BI, AU) are clearly defined and tested via PLS-SEM modeling.
- The dataset has a specific license (CC-BY-4.0) facilitating reuse.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- The dataset is small (9.5 KB), indicating limited scope.
Provenance
- Source
- Tomasz Szopiński via figshare.
- Collection Method
- CAWI survey research.
- Freshness
- Last updated 2026-03-19 17:23:58; freshness should be verified.
- Geography
- Data collected from respondents at three Polish universities.