Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/336690 
Erscheinungsjahr: 
2025
Schriftenreihe/Nr.: 
Working Paper No. 7
Verlag: 
University of Athens, Department of Economics, International Economics and Development Laboratory (IEDL), Athens
Zusammenfassung: 
This paper advances a conceptual reframing of governance efficacy as a hybrid public-private good, co-produced through the convergence of Artificial Intelligence (AI), Strategic Foresight, and Digital Nudging. It argues that in the digital era, governance efficacy transcends traditional notions of bureaucratic performance to become a systemic capacity grounded in anticipation, adaptability, and ethical legitimacy. Through an integrated framework, the paper elucidates how AI enhances cognitive intelligence and responsiveness, foresight institutionalizes long-term preparedness and resilience, and digital nudging aligns behavioral engagement with collective values. Together, these enablers form a triadic architecture of "intelligent governance" that links technological capability with public purpose. The analysis applies the TP³ (Theories-Policies- Practices-Politics) lens to trace how hybrid governance operates across institutional layers and sectoral contexts, from public administrations and corporate foresight systems to cross-sectoral partnerships. Comparative illustrations demonstrate that hybrid governance efficacy is not merely an administrative function but an emergent outcome of co-evolution between human and technological intelligence. The study contributes to governance theory by redefining efficacy as a dynamic, ethically grounded, and anticipatory capacity that underpins smart growth, resilience, and sustainable societal transformation.
Schlagwörter: 
Hybrid Governance
Governance Efficacy
Artificial Intelligence (AI)
Strategic Foresight
Digital Nudging
Smart Growth
Adaptive and Anticipatory Governance
JEL: 
H83
O33
D78
L86
Z18
Dokumentart: 
Working Paper

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