Supply chain resilience is a critical capability needed to compete in the current turbulent and unpredictable business environment, but many companies still tend to underestimate its relevance. In the wake of the COVID-19 pandemic, understanding which supply chain impacts influence the policies and actions undertaken when resilience is concerned is important. This study investigated the relationships between the impacts experienced at the different supply chain tiers during the pandemic, and explored which impacts could drive perceptions towards developing resilience strategies in the future. A survey instrument was developed adopting a mid-range approach, targeting manufacturers active in the Italian grocery supply chain. Data were analysed using partial least square structural equation modelling (PLS-SEM). Results showed that source-related impacts deeply affect make- and delivery-related impacts, and make-related impacts mainly influence the perceptions about future resilience strategies. In fact, manufacturers appear to be primarily interested in those strategies ensuring the continuity of their intrinsic operations. The study could inform theory and practice about companies’ decisions towards the adoption of certain approaches. Also, it highlights promising research avenues related to deepening understanding of how perceptions could predict future intentions to engage in protective actions to adequately cope with potential future disruptions.

The recent trends in logistics outsourcing have led to the need to investigate the 3PL (third-party logistics) industry better. However, the attention has always been focused on operative performance, and the role of the warehouse has been skimmed over. This research aims to define the relationship between warehouse features and the performance indicators of 3PLs, filling the literature gap. This research provides insight into 3PLs’ way of thinking, helping 3PLs identify the right warehouse features to improve their performance and providing guidance for real estate companies in designing warehouses meeting 3PLs’ needs. The analysis uses a case study approach, carried out by interviewing 3PLs that provided data coded according to the dimensions of the Kano model. This methodology was used to generate an in-depth understanding of how 3PLs evaluate the different warehouse features that are able to drive their performance. The “perfect warehouse” is placed in an accessible location; it has loading bays, a standard layout, and a height suitable to optimize the flow of goods, and it utilises the spaces to make the service flexible and responsive. In addition, the warehouse should have internal areas, such as mezzanines, to deliver value-added services.