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

A 2026 survey of 93 public officials with national-level responsibilities in Peru examined the association between the valuation of artificial intelligence agents and decision-making. The Likert-scale survey showed high internal consistency (Cronbach's alpha = 0.952), and non-parametric analysis revealed a positive, statistically significant association. The data supports the relevance of AI-based decision support systems for evidence-based modernization of public management.

Use Cases

• Analyzing the correlation between AI valuation and perceived decision-making effectiveness based on survey responses.
• Studying the acceptance of advanced decision support systems among public officials in a specific national context.
• Benchmarking internal consistency metrics for survey instruments in public management research.
• Investigating non-parametric statistical associations for Likert-scale data in social science contexts.

Strengths

• Survey data from 93 participants provides a specific sample size.
• High internal consistency reported with a Cronbach's alpha of 0.952.
• Statistical associations are quantified with specific metrics (Kendall's Tau-b = 0.588; Spearman's Rho = 0.653; p < 0.001).

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 and institutional bias inherent to the specific Peruvian public sector context.

Provenance

Source

Emilio J. Medrano-Sánchez via figshare

Collection Method

Likert-scale survey administered to public officials.

Freshness

Last updated 2026-05-13 05:35:52; freshness should be verified.

Geography

Peru