Climate change, geopolitical instability, economic crises, technological disruptions, and global pandemics have highlighted the need for systems that can absorb shocks, reorganize, and develop in dynamic environments (OECD, 2020). In this context, resilience has become a defining concept in understanding adaptation mechanisms. However, resilience is not just about survival or returning to a pre-crisis state, it is about leveraging change as an opportunity for renewal, transformation, and long-term sustainability (Folke, 2006).

From an evolutionary perspective, resilience unfolds through four phases: resistance, recovery, adaptation, and transformation. Innovation lies at the heart of this transformation: it is the structural mechanism that enables territories to move from passive recovery toward proactive renewal, progressing beyond short-term stabilization to create new economic and social pathways (Hassink, R., 2010; Martin, R., 2010).

This track takes a multi-level perspective, examining how both organizations, territories and institutions develop resilience through economic, social, environmental, and technological strategies (Rodriguez-Pose & Wilkie, 2019).

At the organizational level, resilience depends on flexible structures, adaptive decision-making, and robust supply chains. Firms must balance short-term efficiency with long-term risk management by embedding redundancy and adaptability into their operations (Linnenluecke & Griffiths, 2010). Organizational resilience is defined as the ability to absorb shocks, craft context-specific responses, and transform in the face of disruption (Lengnick-Hall et al., 2011, Bergami et al., 2022).

At the regional level, the diversity and connectivity of the industrial base, determine how territories absorb shocks (Frenken et al., 2007). Related variety fosters knowledge recombination and adaptive restructuring, while unrelated variety provides insurance against concentrated risks. Policies such as Smart Specialisation Strategies (S3) embody these principles, guiding innovation toward diversification, inclusion, and long-term resilience (Crescenzi et al., 2020). Furthermore, territorial servitization represents another mechanism for regional resilience, emphasizing the integration of manufacturing and service capabilities to foster innovation and adaptability (Vandermerwe and Rada, 1988; Cusumano et al., 2015). By embedding service-oriented logics, such as digitalization, co-creation, and user-centered design, into local production systems, it enhances knowledge circulation, diversification, and value creation (Lafuente et al., 2017; Vaillant and Lafuente, 2024). This shift supports regions in diversifying their economic base, sustaining competitiveness, and reinforcing their capacity to anticipate and respond to disruptions.

At the institutional level, adaptive governance translates firm-level learning into collective capacity. Because systems are nested and interdependent, interactions across local, regional, and global scales generate both vulnerabilities and opportunities (OECD 2020). Institutional innovation, through experimental governance, networked policy platforms, and participatory processes, creates the conditions for systemic transformation.

This track invites theoretical, empirical, and policy-oriented contributions that explore:

• The relationship between innovation capacity and the phases of territorial resilience (absorption, adaptation, transformation);
• How organizational innovation translates into territorial learning and systemic renewal;
• The role of institutional and policy innovation, including S3, in guiding structural transformation;
• The contribution of recently emerged economic paradigms, such as territorial servitization, to regional resilience and sustainable development;
• Comparative case studies on how regions leverage crises to redefine their developmental paths;
• Organizational adaptation and resilience in business strategy, with attention to leadership, corporate governance, and the evolution of business models in response to environmental and economic uncertainties;