Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Recurso digital |
| Lingua: | inglese |
| Pubblicazione: |
Zenodo
2025
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| Soggetti: | |
| Accesso online: | https://doi.org/10.5281/zenodo.17867864 |
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Sommario:
- <p>This preprint examines the limits of contemporary governance architectures that remain grounded in industrial-era rationality—linear planning, centralized coordination, and hierarchical decision chains. While these structures were effective in relatively stable environments, they increasingly struggle to adapt to conditions shaped by rapid socio-cultural change, high-velocity information flows, and tightly interdependent systems.</p> <p>The work introduces <strong>evocracy</strong> as a complementary governance modality designed for environments characterized by structural fluidity, distributed cognition, and persistent uncertainty. Rather than replacing existing institutional arrangements, evocracy adds an adaptive layer that enhances resilience and responsiveness across governance systems.</p> <p>The proposed framework integrates perspectives from complex systems theory, cognitive governance research, post-industrial organizational analysis, and network-based coordination models. It conceptualizes evocracy as an architecture built around consensus-driven feedback loops, distributed responsibility across semi-autonomous nodes, and horizontally organized participation channels.</p> <p>Results show that evocratic mechanisms enable multi-level adaptive coordination, where governance outcomes emerge from iterative consensus contours, dynamic information exchanges, and cooperative realignment processes. This model alleviates coordination bottlenecks, supports scalable adaptability, and promotes meta-stability across diverse societal domains.</p> <p>Overall, the preprint positions evocracy as both theoretically robust and operationally viable, offering a framework capable of increasing the coherence and functional capacity of public governance during periods of cultural transition and institutional transformation.</p>