Dataset for an Intellectual-Analytical System for Predicting the Socio-Economic Consequences of AI Implementation in Enterprises and the Regional Economy

This dataset contains input and processed data used to verify an intellectual-analytical system for predicting the socio-economic consequences of artificial intelligence implementation in enterprise business processes and the regional economy. The empirical verification was carried out using real data collected from 1,000 enterprises in the Czech Republic. The dataset includes enterprise-level assessments grouped into three information models: economic effect, social impact, and regional adaptation. Each criterion is evaluated on a scale from 0 to 10. The dataset also includes aggregated scores for each model and corresponding fuzzy membership values obtained after fuzzification. These data support the calculation of integrated indicators, the identification of bottlenecks in AI implementation, and the construction of scenario-based and achievable threshold forecasts for balanced AI-driven transformation.