AI-ImpactSK: Driving AI Adoption
and Innovation in Slovakia
Empowering enterprises, policymakers, and researchers through evidence-based insights on artificial intelligence adoption and its economic impact.
Project Overview and Rationale
The AI-ImpactSK project is a comprehensive research initiative designed to empirically examine the adoption of artificial intelligence (AI) and its impact on enterprise performance, market dynamics, and policy formulation in the Slovak economy. The project integrates surveys, interviews, statistical and econometric models, and international benchmarking to provide evidence-based recommendations for academia, industry, and government.
Project Objectives
Key goals of our comprehensive research initiative
Market survey on AI adoption
Stakeholder interviews to identify best practices
Policy recommendations for ethical and sustainable AI integration
International benchmarking and comparative analysis
Forecasting future AI diffusion using Bass model
Correlation between AI and enterprise performance
Segmenting firms by AI adoption profile
Predictive modeling of AI adoption likelihood
Sentiment analysis and JointSpace mapping
Work Packages
Structured research components delivering specific outcomes
Project
Management
Oversight of activities, timeline management, and coordination of deliverables across work streams.
Market Survey &
Data Collection
Design and implementation of comprehensive AI adoption surveys and stakeholder interviews.
Statistical Analysis & Segmentation
Advanced statistical modeling to segment enterprises and identify adoption patterns.
Comparative
Forecasting
Bass model implementation to forecast AI diffusion and international comparison benchmarking.
Deep Analysis &
Interpretation
Integration of qualitative and quantitative findings to develop comprehensive insights.
Knowledge Transfer &
Policy Impact
Publication of findings and development of policy recommendations for stakeholders.
Team & Governance
The project is managed by a Project Management Office and organized into six expert-led work packages. Regular strategic meetings and risk protocols ensure high-quality and timely delivery.
Communication & Data Management
The project’s findings are shared through its official website, webinars, and publications. Data is securely stored in GDPR-compliant cloud systems, ensuring integrity and accessibility throughout the project lifecycle.
