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The COVID-19 pandemic has stimulated a global movement of open innovation initiatives aimed to provide knowledge and tools to support policy decisions and actions in the emergency scenario. The authors describe an open innovation process aimed to build an information coordination system to reduce the infection diffusion within the population.

The authors use coordination theory principles to elaborate a framework of activities, resources and dependencies among information resources and producers in the COVID-19 emergency. The framework was applied to develop a case study aimed at describing a health emergency system implemented by Dyrecta Lab (a research laboratory on computer science) and CITEL (a medical research center).

The authors describe the existence of relevant “flow,” “fit” and “share” dependencies within the activities of infection containment and medical treatment. The authors identify eight key resources and a number of actors involved in those activities, and describe a platform able to gather a multitude of epidemic-related metrics with the purpose to address dependencies and support decision making.

The authors provide insights for advancing the academic discussion on process coordination principles in time-constrained, volatile and highly demanding scenarios.

The value of the authors’ research can be identified for practitioners engaged to develop innovative development projects for public utility. The authors provide a contribution also for first responders and health operators involved in management of the current and future emergencies.

The adoption of process coordination principles is a relatively new and powerful approach to analyze and optimize the processes that characterize the management of emergency scenarios. Besides, the study and application of open innovation in healthcare are partially limited.

The main aim of the study is to empirically investigate the relationship between strategic orientation and a dual conceptualization of performance (i.e. non-economic performance and economic performance) in the research context of corporate museums, which are owned and run by private companies. Furthermore, the study aims to explore the nature of the relationship between the dual performance, shedding light on the relevance of non-economic results for this peculiar category of museums.

The study is based on survey data from 105 Italian corporate museums, which represent almost the entire population in the country (91%). A structural model was estimated using SmartPLS software in order to examine the direct and indirect effects of strategic orientation on corporate museums' non-economic and economic performance.

The findings show that only if corporate museums are able to achieve non-economic performance, creating value for the owning company and the local community, they can also have good results in economic terms. Thus, the non-economic performance acts as a mediator into the relationship between strategic orientation and economic performance.

The current work is a pioneer study for the empirical investigation of performance within corporate museums. The empirical model of the study, based on a dual conceptualization of performance and a mediation analysis, is completely innovative in this research context.