Survey Data on AI Tool Acceptance for Personal Financial Decisions

371 survey responses from three Polish universities collected via CAWI method. The data measures determinants of acceptance for AI-based tools supporting personal financial decisions, based on an extended TAM model. The dataset was authored by Tomasz Szopiński and published on figshare.

Use Cases

• Modeling relationships between perceived ease of use, usefulness, attitudes, intentions, and actual use based on the described TAM constructs.
• Analyzing the indirect influence of perceived usefulness on behavioral intention through attitude, as described in the findings.
• Investigating consumer perceptions of AI tools for improving financial literacy, as highlighted in the description.

Strengths

• Data is from a representative sample of 371 respondents.
• Survey is based on a dedicated scale developed for measuring TAM model items.
• PLS-SEM modelling results, including specific relationship strengths, are described.

Limitations

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

Provenance

Source

Tomasz Szopiński

Collection Method

CAWI survey research

Freshness

Last updated 2026-03-19 17:23:53; freshness should be verified.

Geography

Poland