Financial Behavior Survey of 306 Vietnamese Adults

306 survey responses from Vietnamese adults form the empirical basis for a structural equation model analyzing financial behavior. The model integrates variables like family financial socialization, artificial intelligence, financial literacy, and digital trust. It was developed by Nguyen Quoc Anh to assess direct, mediating, and moderating effects on financial well-being.

Use Cases

• Test a structural equation model linking family financial socialization and artificial intelligence to financial behavior and well-being.
• Analyze the mediating role of financial behavior between AI exposure and financial well-being outcomes.
• Examine the moderating effects of financial literacy and digital trust on the relationship between AI and financial behavior.
• Compare the relative influence of family financial socialization versus artificial intelligence on financial behavior.

Strengths

• Data from 306 adult respondents provides a defined sample size for analysis.
• Model integrates multiple key constructs: financial socialization, AI, financial literacy, digital trust, behavior, and well-being.
• Clear theoretical framework for an emerging economy context (Vietnam).
• Results quantify the stronger influence of AI on financial behavior compared to family socialization.

Limitations

• Small sample size of 306 limits statistical power and generalizability of findings.
• Data is specific to Vietnam, limiting applicability to other geographic or economic contexts.
• The 5.5 KB file size suggests the dataset contains only model results or summary statistics, not raw survey responses.

Provenance

Source

Author Nguyen Quoc Anh, published on figshare.

Collection Method

Survey data from 306 Vietnamese adults, analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM).

Freshness

Last updated March 2026.

Geography

Vietnam (emerging economy context).