Survey on AI Agent Valuation and Decision-Making Among Peruvian Public Officials

Emilio J. Medrano-Sánchez conducted a survey of 93 Peruvian public officials with national-level responsibilities. The study examines the association between the valuation of artificial intelligence agents as decision support systems and perceptions of decision-making effectiveness. Results show a positive and statistically significant association (Tau-b = 0.588; Rho = 0.653; p < 0.001).

Use Cases

• Analyzing the relationship between AI valuation and decision-making perceptions based on survey responses.
• Studying the acceptance of AI-based decision support systems in a public-sector context.
• Benchmarking attitudes towards AI agents among government officials in a specific national context.
• Informing the design of AI training and implementation strategies for public institutions.

Strengths

• Survey instrument showed high internal consistency (Cronbach's alpha = 0.952).
• Statistical analysis used appropriate non-parametric tests (Kendall's Tau-b and Spearman's Rho).
• Results are specific to a defined population (93 Peruvian public officials with national-level responsibilities).

Limitations

• Dataset is small (141.0 KB) and contains only survey results from a single study.
• Row count and column-level documentation are unknown, limiting suitability assessment.
• Data may reflect geographic bias inherent to the Peruvian public-sector context.

Provenance

Source

Emilio J. Medrano-Sánchez via figshare.

Collection Method

Likert-scale survey administered to 93 participants.

Freshness

Last updated 2026-05-13 05:35:55; freshness should be verified.

Geography

Peru