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

93 Peruvian public officials with national-level responsibilities responded to a Likert-scale survey on artificial intelligence agents as decision support systems. The data shows a positive, statistically significant association between AIA valuation and perceived decision-making effectiveness (Tau-b = 0.588; p < 0.001). The dataset was created by Emilio J. Medrano-Sánchez and published on figshare in May 2026.

Use Cases

• Analyze the relationship between technology valuation and perceived decision-making quality based on survey responses.
• Model public officials' attitudes towards AI-based decision support systems using Likert-scale data.
• Benchmark survey instrument reliability based on the reported Cronbach's alpha of 0.952.
• Study the application of non-parametric statistical tests (Kendall's Tau-b, Spearman's Rho) on perception data.

Strengths

• Survey instrument demonstrated high internal consistency with a Cronbach's alpha of 0.952.
• Associations were tested with two non-parametric correlation measures (Kendall's Tau-b and Spearman's Rho), providing methodological rigor.
• The study focuses on a specific, relevant population: 93 public officials with national-level responsibilities in Peru.

Limitations

• The dataset is small in scale (148.7 KB), suggesting limited scope or a single survey instrument.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for some modeling tasks.

Provenance

Source

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