Roberta Pellegrino

This study examines how circular economy ( CE ) practices relate to supply chain resilience (SCRES), focusing on the capability‐based mechanisms through which CE strategies may influence resilience outcomes. Drawing on survey data from 125 Italian firms engaged in CE initiatives, we employ partial least squares structural equation modelling (PLS‐SEM) to test the proposed relationships and complement this analysis with fuzzy‐set qualitative comparative analysis (fsQCA) to identify configurational pathways leading to SCRES. PLS‐SEM results indicate that CE practices strengthen several supply chain capabilities, with agility emerging as the only capability that mediates the relationship between CE and SCRES. FsQCA findings further reveal that SCRES can be achieved through multiple alternative configurations of CE practices and supply chain capabilities, pointing to three distinct resilience pathways: capabilities‐driven, operations‐driven and sustainability‐driven strategies. This study contributes to the literature by clarifying the capability‐based mechanisms linking CE and SCRES and highlighting the equifinal nature of resilience formation in circular supply chains. From a managerial perspective, the findings suggest that firms pursuing CE strategies should complement their adoption with targeted investments in agility and related capabilities to translate circular initiatives into resilient supply chain outcomes.

The Italian furniture industry increasingly adopts circular economy ( CE ) practices to address sustainability challenges. However, CE implementation introduces specific risks related to supply chain fragmentation, traceability issues and consumer resistance to sustainable materials. In this context, supply chain integration (SCI) emerges as a critical capability for managing complexity and uncertainty, yet its role in CE ‐related risk mitigation remains underexplored. While prior studies have examined CE and supply chain risk management (SCRM) separately, few have investigated how integration across supply chain actors enables firms to manage the specific risks of circular transitions. This study employs a multiple case study approach to address this gap, analysing five Italian furniture firms with varying CE maturity levels. Findings show that CE practices, such as the reuse of materials, the refurbishment of end‐of‐life products and digitalisation, are widespread, yet uneven in their impact. Companies with more advanced SCI systems, including shared data platforms and co‐sourcing agreements, are better positioned to mitigate operational and reputational risks. In contrast, firms with limited integration face obstacles in scaling CE due to inefficiencies and low coordination. The study highlights SCI not only as a strategic enabler for circular adoption under uncertainty, but also as relevant for mitigating the risks associated with CE implementation. The findings underscore the need for supportive policy frameworks that foster supply chain integration as a means to reduce risks related to circular transitions and promote their broader adoption.

While a growing literature is showing interest in the circular economy ( CE ) paradigm, there is still a lack of consensus on whether the adoption of CE practices can help to cope with supply risks arising from an increasingly uncertain business environment in order to increase supply chain resilience (SCRES) and improve a firm's performance. Through a survey of Italian enterprises engaged with CE practices, this study aims to fill this literature gap, investigating whether the adoption of CE practices can initiate a path of increased SCRES, which can lead firms to improve their overall performance, thus proactively responding to environments characterised by high levels of supply risk. This study contributes to the debates about the paths connecting CE practices and firms' performance, especially in the context of vulnerabilities and disturbances, empirically demonstrating how firms might exploit the potential of CE by investing in SCRES. This study sheds light on the relationship between CE and SCRES, particularly underlying the most relevant paths of relationships between CE and those SCRES capabilities that can lead to performance improvements, particularly when the level of supply risk increases.

The development of new technologies and their continued adoption allow data to be collected, analysed and exploited for decision-making. Data can play an important role in the healthcare industry since it is a complex system where every decision is strongly affected by risk and uncertainty. Although the proliferation of data and the awareness of the importance of new technologies to support decision-making in presence of risk and uncertainty, there is a lack of understanding of the interrelations between data, decision-making process and risk management in healthcare organizations and their role to deliver healthcare services. Pursued by this research gap, the objective of this study is to understand how data can optimize decisions confronted with risk and uncertainty in the main domains (structure, process, outcome) of healthcare organizations. Thus, we conducted a systematic literature review based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology, by selecting and analysing peer-reviewed journal articles from three databases: Scopus, Web of Science and PubMed. The paper’s findings suggest that although data are widely used to optimize the decisions in the healthcare organization domains in presence of risk and uncertainty, there are still many scientific and practice gaps that lead to the definition of a future research agenda.

Revenue risk due to demand fluctuations is one of the major issues affecting public infrastructure projects (building bridges, airports, schools, etc.). It becomes much more critical when private partners have been involved in the construction, financing, and operation of the infrastructure projects, as it enters into the realm of Public–Private Partnerships (PPP). In PPP projects, revenue risk impacts the project profitability for the private investor. To attract private financing in PPP infrastructure projects, governments must frequently include supplementary public guarantees to mitigate this risk. However, the impact on PPP projects is often difficult to estimate, since it depends both on uncertainty and on the actual exercise of the guarantee. All these challenges, along with the intrinsic characteristic of PPP projects being partnerships among different actors lasting a long period, complicate the choice of which form of guarantee is more suitable for ensuring project success. Such a choice is also strongly affected by contextual factors and project characteristics. In this chapter, we employ the hybrid sensitivity–uncertainty analysis technique, Simulation Decomposition (SimDec), to investigate how contextual factors and project characteristics affect the choice of the optimal form of public subsidy for revenue risk mitigation. To this aim, we focus on the case of an Italian airport. Through this real case, we provide useful guidelines that can be used by the government in the selection of public subsidies to mitigate revenue risk in PPP projects.