Financial Behavior Survey of 306 Vietnamese Adults

306 survey responses from Vietnamese adults analyze financial behavior, socialization, and AI influence. The dataset supports an empirical study using Partial Least Squares Structural Equation Modelling. It examines relationships between financial literacy, digital trust, artificial intelligence, and financial well-being.

Use Cases

• Test structural equation models linking family financial socialization to financial behavior and well-being.
• Analyze the moderating effect of financial literacy on the relationship between artificial intelligence and financial behavior.
• Examine the mediating role of financial behavior between artificial intelligence exposure and financial well-being.
• Investigate the comparative influence of artificial intelligence versus family financial socialization on financial behavior.

Strengths

• Dataset contains 306 survey responses, providing a defined sample size for analysis.
• Focus on an emerging economy context (Vietnam) offers specific geographic and economic insights.
• Examines multiple constructs including financial literacy, digital trust, and artificial intelligence influence.

Limitations

• Small sample size of 306 limits statistical power and generalizability of findings.
• Data is specific to Vietnam, which may not be representative of other geographic or economic contexts.
• Dataset is very small (5.5 KB), indicating limited scope and likely aggregated summary statistics rather than raw individual responses.

Provenance

Source

figshare, authored by Nguyen Quoc Anh.

Collection Method

Survey data from 306 Vietnamese adults, analyzed via Partial Least Squares Structural Equation Modelling.

Time Range

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Freshness

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Geography

Vietnam (emerging economy context).