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The growing success of open innovation practices in many firms raises the question of whether such principles can be transferred for reinventing public sector organisations. A paradigm based on principles of integrated collaboration, co-created shared value, cultivated innovation ecosystems, unleashed exponential technologies and extraordinarily rapid adoption is the so-called Open Innovation 2.0. The development of this approach reflects the perception that the innovation process has evolved. This study aims to explore new ways to study healthcare networks as key tool for innovation creation and spreading, by deploying the emergent paradigm of Open Innovation 2.0.

The study investigates the impact of clusters, or localised networks, involving industrial, academic and institutional players, in the (bio)pharmaceutical setting; the aim is to enrich the line of inquiry into cluster-based innovation by applying a social network analysis (SNA) methodology, with the aim to provide new perspectives for recognising how the set of interactions and relationships in the (bio)pharmaceutical context can lead to higher levels of knowledge transfer, organisational learning and innovation spreading.

Starting from the top ten (bio)pharmaceutical companies, and the top ten contract research organisations (CROs), the study helps understand that: the combination of the single big pharma company and the CROs to which great part of the work is externalised, can be compared to a community of transaction that deals with the supply and demand of a specific kind of goods and services; clusters can comprise either a single one or more communities of transaction; virtual CROs act as a community whose all components participate to the creation of value (co-creation), thus comparable to a certain extent to a community of fantasy.

Based on the novelty of the OI2/SNA combination approach to deal with the “complex” (bio)pharmaceutical industry, the outcomes of the present study mean to highlight: a comprehensive perspective for understanding the dynamics of modularity and their implications for innovation networks; the presence of innovation networks as main mean to promote and support paths of knowledge creation and transfer.

Along the coronavirus pandemic, huge business challenges are facing as a result of collapsing customer demand and organisational significant changes supported by digital development, while the increasing social and environmental needs involve business and individuals. The authors argue that this trend is modifying organisational and market logic, replacing them with values and practices linked to community-based models. The present work aims to study the impact that smart working (SW) has on the worker, seen both as a member of the organisation and the social community.

The study data were collected from a computer-assisted web interview administered in 2020 to public employees working for health agencies across the Campania region, in South Italy. To test the conceptual model, partial least squares-structural equation modelling is used. Considering the abductive soul of the research, the study represents a pilot survey that will deliver stochastic results to be subsequently replicated in all Italian health agencies.

The results of the research highlighted how the evolutionary dynamics of SW employees tend towards a reconceptualisation of workspaces, a redefinition of time and emotions and a better balance between work and personal life, thus creating a greater space for social and community aspects and determining a greater involvement in their working life.

This research introduces a new win-win logic in the labour market, one capable of generating advantages for people, organisations and the entire social system by allowing workers to better reconcile working times with their personal needs and with flexibility demands coming from companies.

The aim of the present paper is to examine how the introduction of information and communication technologies (ICTs) can have positive implications in a territorial context, where healthcare organizations are characterized by limited organizational independence and lack of individual statutory autonomy, with limited level of integration between the involved parties (healthcare operators, managers, and patients) and an uneven management of data and of information‐sharing.

The approach taken was an investigation based on a combination of quantitative and qualitative methods for information‐gathering and data‐analysis in the context of diabetes care. A case study approach was adopted with the aim of enhancing general practitioners' (GPs') performance levels through an evaluation monitoring and by controlling care paths dynamics.

The realization of the target care path for chronic–degenerative pathologies in the Local Health Trust “Naples 4” in Campania Region (Italy) led to the identification of a suitable framework that modifies, through the implementation of ICT tools, the communications dynamics and the interaction/integration for those actors involved in a patient's care path.

Healthcare markets are currently experiencing an acceleration of technological developments; the study tries to show how the appropriate adoption of new technologies can lead to improvements for the quality of care, managing at the same time the consequent rising costs in the sector.