Publication Authors: Stefano Armenia

Francesca Castaldo, Maria Virginia Sirolli, Stefano Armenia

This paper explores Urban Air Mobility (UAM), a new frontier in the aerospace sector. It emphasises the importance of comprehensive integration among all stakeholders, both human and technological, involved in planning and implementing UAM processes. This integration is crucial to ensure the resilience of the envisioned ecosystem. The research utilises documents from influential organisations such […]

IN: Proceedings IFKAD 2024 – Translating Knowledge into Innovation Dynamics
2588-2601
Stefano Armenia, Francesca Ricciardi, Piercarlo Rossi, Georgios Tsaples

Judicial systems are composed of complex sub-systems operating in an autonomous, yet interconnected ways. Thus, any policy that might be implemented to improve their efficiency is largely based on theoretical assumptions and knowledge of other similar systems. However, policy makers need tools that could assist them in designing policies that would illustrative both the positive […]

IN: Proceedings IFKAD 2024 – Translating Knowledge into Innovation Dynamics
2123-2135
Francesca Ricciardi, Canio Forliano, Alberto Bertello, Stefano Armenia, Paola De Bernardi

The paper “The Tragedy of the Commons” by Hardin in 1968 highlighted the potential depletion of shared resources due to the self-interested behavior of individuals. This study sparked interest in scholars to understand how individuals make sense of shared resources and how to prevent over-exploitation. Elinor Ostrom challenged the assumption of the rational actor and […]

IN: Proceedings IFKAD 2023 – Managing Knowledge for Sustainability
2195-2205
Arianna Ciabattoni, Stefano Armenia, Francesca Ricciardi

In this study, we focus on the modeling of the judicial system through a suite of System Dynamics. More specifically, employing a participatory modeling approach (GMB – Group Model Building) based on the System Thinking methodology, we have developed Causal Loop Diagrams, which we have then transformed into quantitative models through the modeling and simulation […]

IN: Proceedings IFKAD 2023 – Managing Knowledge for Sustainability
1906-1922