We investigate how regional entrepreneurial ecosystems have adapted to the information revolution as a techno-economic paradigm since the 1960s. Particularly, we look at how the organisation of firms and labour has changed in the automotive and ICT sectors in, respectively, the UK and Bulgaria. Findings show that, in both countries, it was the degree of cooperation between the local enterprises, research institutions and the government that enabled successful innovation in the regional clusters of the West Midlands and Sofia. The resulting ecosystems allowed, on the one hand, the already mature automotive sector in the UK to survive and, on the other hand, the newly developed ICT sector to be installed successfully in Bulgaria.

Individuals worldwide are overwhelmed with news about COVID-19. In times of pandemic, media alternate the usage of different COVID-19 indicators, ranging from the more typical crude mortality rate to the case fatality rate, and the infection fatality rate continuously. In this article, we used experimental methods to test whether and how the treatment of individuals with different types of information on COVID-19 is able to change policy preferences, individual and social behaviours, and the understanding of COVID-19 indicators. Results show that while the usage of the crude mortality rate proves to be more efficient in terms of supporting policy preferences and behaviours to contain the virus, all indicators suffer from a significant misunderstanding on behalf of the population.

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Despite active labour market policies being implemented to increase the skills and job opportunities of the unemployed, the number of people who do not participate in training and other services of job orientation remains high. By providing a model that studies the decision-making process of a potential participant, we hypothesise there is a behavioural motive behind it. An experiment is carried out to account for both the individual's preference and the social expectations of agents such as the government and her peers with respect to active occupational measures. Findings show that young unemployed individuals are significantly influenced by their peers when deciding whether to participate or not in a training programme. Particularly, negative expectations from the peers cause unemployed potential participants in a within-and between-subjects experiment to be, respectively, 33 and 42 percentage points less likely to take part in job training.