Survey Data on AI Tourism Recommendations and Consumer Purchase Intentions

433 survey responses from South Korean adults inform a study on metacognitive judgment in AI-supported tourism. The data, collected by Jung-eun Bae and last updated in May 2026, supports a structural equation model analyzing how perceived value influences purchase intention through decision confidence and trust. The 58.6 KB Excel file contains results from a multi-group analysis examining the moderating effect of AI utilization level.

Use Cases

• Testing structural equation models based on the sequential pathway from perceived value to purchase intention.
• Analyzing the moderating role of AI utilization level on the relationship between perceived value and purchase intention.
• Investigating trust as an endogenous cognitive outcome in high-uncertainty consumption contexts.
• Validating theoretical frameworks like Stimulus-Organism-Response (S-O-R) with temporally structured cognitive processes.

Strengths

• Data from 433 survey respondents provides a substantive sample for analysis.
• Clear theoretical foundation in metacognition and bounded rationality guides variable construction.
• License is CC-BY-4.0, permitting open sharing and modification.

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 its collection from South Korean adults only.

Provenance

Source

Jung-eun Bae via figshare

Collection Method

Survey data collected from 433 South Korean adults with experience using AI-based tourism recommendation systems.

Freshness

Last updated 2026-05-01 05:27:51; freshness should be verified.

Geography

South Korea