The agri-food sector is facing profound transformations driven by global sustainability challenges, digitalization and artificial intelligence. Ensuring resilience, efficiency, and fairness requires not only technological solutions, but also robust frameworks to assess resource use, evaluate environmental and social impacts, and design governance mechanisms that align market behavior with long-term societal goals. This track focuses on the integration of knowledge systems, digital technologies, and organizational models to support sustainable food systems.

Contributions are invited that:

• develop approaches to measure and compare the sustainability performance of products, processes and value chains, linking efficiency with transparency and accountability;
• explore how innovation in production, distribution and consumption can be oriented toward higher quality, safety and eco-compatibility of goods and services;
• examine the dynamics of firms, networks and institutions in adopting AI and data-driven tools, with particular attention to collaborative practices, organizational adaptation and capacity building;
• provide policy- and management-oriented insights on how to reconcile economic competitiveness with environmental stewardship and social well-being.

By combining analytical rigor with practical orientation, the track seeks to advance interdisciplinary knowledge that bridges economic assessment, product innovation, and organizational transformation. The ultimate goal is to provide actionable insights for decision-makers, businesses, and communities committed to shaping sustainable agri-food futures.