TAM Survey Data on AI Financial Tools from Three Polish Universities

Tomasz Szopiński's dataset contains survey results from a pilot study on consumer 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 an extended TAM model, measuring 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 the described constructs.
• Analyzing the indirect influence of perceived usefulness on behavioral intentions through attitudes, as described in the findings.
• Testing the validity of an extended TAM model for AI-based financial decision support tools.
• Investigating the role of AI tools in improving financial literacy, as highlighted in the survey results.

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.
• Dataset has a specific license (CC-BY-4.0) allowing for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is limited to respondents from three Polish universities, which may introduce geographic bias.

Provenance

Source

Tomasz Szopiński

Collection Method

CAWI survey research.

Freshness

Last updated 2026-03-19 17:23:56; freshness should be verified.

Geography

Three Polish universities.