International Conference on Technological Intelligence and Business Strategies

Authors - Carolina Ditan, Daniel Dasig Jr, Sushil Kumar Singh, Isagani Valenzuela II, Catherine Catalan, Bablu Khumar Dhar, Jewelyn Ciocon and Maricris Ediza
Abstract - The increasing complexity of sustainable governance ecosystems re quires advanced analytical models capable of integrating multidimensional soci oeconomic, environmental, governance, and technological indicators into inter pretable strategic intelligence systems. This study proposes a Federated Techno logical Intelligence Framework (FTIF) utilizing the World Bank Sustainable and Social Governance Database (WB_SSGD) to analyze governance resilience, en vironmental sustainability, institutional effectiveness, and digital transformation patterns across multiple countries. The study integrates explainable artificial in telligence (XAI), federated analytics, ensemble machine learning, and nonlinear predictive modeling to identify strategic relationships among governance indica tors, energy transition variables, democratic participation metrics, and environ mental sustainability indicators. The methodology combines Random Forest Re gression, Gradient Boosting Machines, Long Short-Term Memory (LSTM) tem poral learning, SHAP explainability mechanisms, and panel-based econometric validation. Findings reveal that governance effectiveness, access to civil justice, corruption control, democratic participation, and carbon intensity significantly influence sustainable development trajectories. The hybrid architecture achieved high predictive reliability with strong convergence stability and reduced predic tion variance across heterogeneous country clusters. The SHAP-based explaina bility analysis further demonstrates that institutional quality variables contribute more significantly to sustainability outcomes than isolated economic indicators. The proposed framework contributes to technological intelligence literature by introducing a scalable and interpretable governance analytics architecture for strategic policymaking and digital sustainability planning. The study offers prac tical implications for governments, higher education institutions, business strate gists, and international development organizations pursuing evidence-based gov ernance transformation.