AI IMPACT ANALYSIS
Governance, Quality of Life and City Performance: A Study Based on Artificial Intelligence
This study analyzes the joint influence of good governance variables (e-government, transparency, reputation) and quality of life (QoL) on the performance of Spanish cities, using AI and KNIME to model their relationships.
Executive Impact: Key Performance Indicators
The research highlights significant predictive accuracy and the strong influence of governance and QoL on city performance.
0.932
R-squared (MLP)
0.026
Mean Absolute Error
55+
Studies Analyzed
Deep Analysis & Enterprise Applications
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0.932
R-squared achieved by MLP Neural Network, outperforming other models.
City Performance Model
The study employed a predictive system using specific latent variables across different time horizons to forecast city performance.
Good Governance Variables (2007-2008)
→
Quality of Life (2019)
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AI Model (KNIME)
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City Performance (2022 Employment)
| Factor | Impact on Predictive Quality |
|---|---|
| MLP including QoL |
|
| MLP without QoL |
|
Strategic Resources & Competitiveness
The findings support the Resource-Based View (RBV) theory, emphasizing that valuable, rare, inimitable, and non-substitutable resources drive competitive advantage.
Challenge:
Many cities struggle to identify and leverage their unique resources effectively to boost performance and competitiveness.
Solution:
Implementing AI-driven analysis helps cities pinpoint critical governance factors (e-government, transparency, reputation) and quality of life as strategic resources.
Outcome:
By focusing on these identified resources, cities can significantly improve their employment ratios and overall performance, reinforcing their competitive advantage.
Advanced ROI Calculator
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Estimated Annual Savings
$0
Annual Hours Reclaimed
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Your AI Implementation Roadmap
Our structured approach ensures a seamless integration of AI insights into your strategic planning and operations.
Discovery & Data Integration
Comprehensive analysis of existing data infrastructure and integration of relevant city performance metrics and governance variables.
AI Model Customization & Training
Tailoring AI models (e.g., MLP, Random Forest) to your specific city's context and training with historical data for optimal predictive accuracy.
Insight Generation & Strategic Recommendations
Leveraging trained models to generate actionable insights into governance, QoL, and performance drivers, coupled with strategic recommendations.
Implementation & Performance Monitoring
Assisting with the implementation of recommended strategies and setting up continuous monitoring systems to track improvements and adjust as needed.
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