POLICY INNOVATION AND IMPLEMENTATION IN PUBLIC SECTOR: COMPLEXITIES, DYNAMICS AND UNCERTAINTIES

This research is expected to contribute to the knowledge base on how an effective impact assessment and adoption of innovations in the public sector could be facilitated. The need for trans-disciplinary assessment of the long-term potential impacts of innovation-driven policies may well be met with system dynamics as part of the dynamic performance management approach by way of modelling based simulation and analysis. Moreover, such analysis may contribute to learning and the accumulation of a knowledge repository that enables strategy developers, policy designers and decision makers to arrive at unexpected (often called counterintuitive) conclusions prior to policy implementation. Such insights, consequently, improve the quality of such processes by providing transparency and effective communication across stakeholders. In this research, I will document how dynamic performance management approach, of which system dynamics is a part of, may facilitate model-based assessment of social innovation impact and its implementation processes in public sector domain. In particular, I will assess the implementation of chronicity management program in Lombardy Region, Italy, using a model that uncovers the dynamics of the policy and its consequences for different stakeholders in short-term and long-term timeframes.