Abstract
Circular Economy is based on implementation of R-strategies to narrow or close the loop of material flows and to minimize raw material consumption by extending the life cycle of materials. Since this approach is expanding from individual organizational actions to a collaborative approach, the objective of this paper is to analyse the role of digital technologies such as AI and cloud platforms in facilitating and changing the collaboration between stakeholders to improve sustainability. This study adopts a qualitative multi case study methodology, using surveys, interviews and document analysis from 10 new ventures in the agri-food ecosystem supported by the cascade funding programme. The results show that collaboration among actors is changed by the different technologies and strategic drivers of circular economy in the considered ecosystem.

Abstract
This study investigates the antifragility of organizations, especially in strategic sectors highly exposed to disruptive events. Based on a qualitative approach with case studies in the wine and textile sectors in Portugal, the findings indicate that financial and market strength, as resilience capabilities, operate interdependently and are reinforced by digital maturity and supply chain integration. Companies with financial robustness and strong market intelligence tend to be more agile in strategically investing and reallocating resources during crises. The research adopts an expanded definition of antifragility, which incorporates resilience, innovation, and strategic reconfiguration in the face of disruptions. It concludes that organizational antifragility results from the articulation of financial resources, market intelligence, and digital collaboration, offering a sustainable competitive advantage in the face of uncertainty. The study contributes to theoretical debates and provides practical recommendations for managers and policymakers.

Abstract
The integration of AI in supply chains offers opportunities to enhance efficiency, sustainability, and decision-making. However, effective implementation requires attention to both technical and socio-technical aspects. This study examines AI maturity in the pulp and paper sector using the SC-STAI profiling tool, assessing AI integration across technical, social, human, and organizational domains. Based on nine case studies from Brazil and Portugal, the research identifies key areas for improvement and highlights uneven AI adoption. Findings show that performance and resilience are most impacted, while job role adoption remains the lowest. The study emphasizes the importance of Socio-Technical AI Maturity Models in guiding responsible AI adoption and improving socio-technical alignment in supply chains, contributing to a better understanding of AI readiness in traditional industries and demonstrating the SC-STAI tool's applicability for strategic AI planning.

Abstract
Circular startups (CSUs) play a crucial role in the circular transition by developing circular business models (CBMs) that minimise resource use and narrow material and energy loops. However, empirical research on how CBMs shape growth strategies and how ecosystems enable or constrain scaling remains limited. This study aims to fill this gap by analysing the growth strategy of CSUs, addressing their circularity, business model and scalability strategies. It analysed 44 CSUs operating in packaging and plastics, textiles and food, water and nutrients value chains, using a qualitative multiple-case design. Results show that CSUs predominantly adopt Commercial and ecosystem scalability strategies, linking replication and geographical expansion with access to partners, resources and markets, and implementing platform- or waste-based CBMs. The study expands existing frameworks by conceptualising Ecosystem Strategy as a core scalability approach and clarifying its mechanisms, offering guidance for entrepreneurs and policymakers seeking to foster circular transformation.

Abstract
Additive Manufacturing (AM) has emerged as a transformative production technology which enables complex geometries, part consolidation, and lightweight structures. Across multiple industries, AM is recognized as a strategic enabler of digital manufacturing and design optimisation. In the space sector, where mass reduction, structural performance, and functional integration are critical, AM presents significant potential. Yet its adoption remains limited. This study analyses the factors influencing AM adoption by European space organizations using an integrated Technology-Organization-Environment (TOE) framework and Diffusion of Innovation (DOI) theory. A qualitative multi-case design was adopted, combining 24 interviews with industry suppliers, research organizations, and the European Space Agency, complemented by documentary analysis. Findings indicate that adoption is primarily driven by perceived relative advantage (design freedom and associated performance gains), organisational innovativeness and agency support mechanisms, while limited organisational readiness (skills and experience), agency-driven certification pressure and low visibility of flight-qualified demonstrators remain major barriers. Adoption cost plays a dual role: potential savings through mass reduction and part consolidation are offset by substantial qualification, testing and compliance efforts. Overall, the results highlight persistent misalignments between technological potential, organisational capabilities and institutional requirements that constrain the transition from prototypes to flight-qualified parts, pointing to the central role of institutional actors in qualification/standardisation and the need for firms to strengthen design-for-AM capabilities.