Survey Data on AI Tool Acceptance for Personal Finance Decisions

371 survey responses from three Polish universities measure consumer acceptance of AI-based financial decision tools. Tomasz Szopiński's pilot study, based on an extended Technology Acceptance Model (TAM), collected data via a CAWI survey. The dataset, last updated in March 2026, includes constructs for perceived ease of use, usefulness, attitudes, intentions, and actual use.

Use Cases

• Testing the Technology Acceptance Model (TAM) based on constructs like perceived ease of use and usefulness.
• Analyzing the relationship between perceived usefulness and attitudes towards AI tools, as highlighted in the description.
• Investigating the indirect influence of perceived usefulness on behavioral intentions through attitudes, a deviation from traditional TAM.
• Assessing the role of AI tools in improving financial literacy, a key feature mentioned in the description.

Strengths

• Data is from a representative sample of 371 respondents.
• Survey is based on a dedicated scale developed for an extended TAM model.
• PLS-SEM modelling confirms relationships between key constructs like PEOU, PU, ATT, BI, and AU.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is from a specific geographic context (three Polish universities), which may limit generalizability.

Provenance

Source

Tomasz Szopiński

Collection Method

CAWI survey research

Freshness

Last updated 2026-03-19 17:23:55

Geography

Three Polish universities