Responsiveness of open innovation to COVID-19 pandemic: The case of data for good

The new framework of innovation biosphere for analysing innovation policies facing COVID-19 grand challenge

BACKGROUND

Facing global grand challenges such as coronavirus disease 2019 (COVID-19) require the participation of various actors in different sectors and systematically directing their innovative efforts. Considering the complexity, non-linear dynamics, and global extent of the COVID-19 challenge, developing and applying a multi-level, resilient, and systematic innovative framework is vital. Therefore, this study aims to apply the "innovation biosphere" framework inspired by ecological studies for examining and analysing the management dimensions of COVID-19.

METHODS

In this research, based on a deductive-inductive approach, the case study methodology is used. In accordance with this strategy, the innovation biosphere metaphor is considered as the basic framework (deductive approach) and subsequently the grand challenge of COVID-19 (inductive approach) is analysed at three levels: micro, meso and macro.

RESULTS

The research findings verify the correspondence between what happened in the management of COVID-19 and the proposed framework of innovation biosphere. In other words, the findings of the research show that the effect of global cooperation, role-playing and co-evolution of different actors and subsystems in facing the grand challenge of COVID-19 under an ecosystemic and eco-innovation approach has been evident. These events subsequently led to the cessation of the pandemic after about four years.

CONCLUSIONS

The main policy implications include the role of self-organization, the capability of global value networks, mission orientation, and co-evolution between actors as the contributions of innovation biosphere framework for managing grand health challenges, and global cohesion, oligopoly market, supporting local innovations, the critical role of basic research, and deregulation as the contributions of the COVID-19 case study for enhancing the innovation biosphere metaphor.

Predicting economic resilience of territories in Italy during the COVID-19 first lockdown

This paper aims to predict the economic resilience to crises of territories based on local pre-existing socioeconomic characteristics. Specifically, we consider the case of Italian municipalities during the first wave of the COVID-19 pandemic, leveraging a large-scale dataset of cardholders performing transactions in Point-of-Sales. Based on a set of machine learning classifiers, we show that network-based measures and variables related to the social, economic, demographic and environmental dimensions are relevant predictors of the economic resilience of Italian municipalities to the crisis. In particular, we find accurate classification performance both in balanced and un-balanced scenarios, as well as in the case we restrict the analysis to specific geographical areas. Our analysis predicts that territories with larger income per capita, soil consumption, concentration of real estate activities and commuting network centrality in terms of closeness and Pagerank constitute the set of most affected areas, experiencing the strongest reduction of economic activities during the COVID-19 pandemic. Overall, we provide an application of an early-warning system able to provide timely evidence to policymakers about the detrimental effects generated by natural disasters and severe crisis episodes, thus contributing to optimize public decision support systems.

COVID-19 infection: Positive mental health, psychological vulnerability and sex: Cross-sectional study

Since mid-March 2020, a state of emergency was decreed in Portugal due to the COVID-19 pandemic and, consequently, measures were implemented to protect public health, such as social isolation, which will certainly have a notable impact on the mental health of the population, especially in the most vulnerable groups. Positive Mental Health (PMH) is essential to deal with adversity, in this case with the pandemic, and to live better and with greater satisfaction. We consider it relevant to investigate how PMH was used as a resource to deal with the pandemic, depending on the level of vulnerability and sex. A, cross-sectional study was carried out whose the aim was to evaluate the levels of PMH and psychological vulnerability in people with COVOD-19 infection and analyze the association between PMH and psychological vulnerability among men and women.

METHODS

The instruments used were a sociodemographic characterization questionnaire, the Positive Mental Health Questionnaire, and the Psychological Vulnerability Scale (PVS), that were sent and filled out online. A quantitative, cross-sectional, descriptive, and correlational study was carried out.

RESULTS

After analyzing the results, it was found that approximately 50.4% of the respondents (n = 387) had global PMH values that place them in quartile 50. There was also a statistically significant difference between female and male PMH, with women showing greater psychological vulnerability and lower overall PMH.

CONCLUSIONS

We conclude that the women present a greater psychological vulnerability and a lower level of PMH when compared to men.

RELEVANCE TO CLINICAL PRACTICE

Considering the study's statistically significant results, when we talk about mental health, we should always consider the sex variable as a vulnerability factor, in a pandemic or non-pandemic phase.