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This study explores the downsizing propensity of family and non-family firms by considering their territorial embeddedness during both periods of economic stability and financial crisis. By drawing on a panel dataset of Spanish manufacturing firms for the period 2002–2015, we show that, all things being equal, family firms have a lower propensity to downsizing than non-family firms. When considering the effect of territorial embeddedness, we found that territorially embedded family firms have an even lower propensity to downsizing than their non-family counterparts. Furthermore, the concern of territorially embedded family firms for their employees’ welfare was particularly pronounced during the years of the global financial crisis. This result is explained by the existence of socially proximate relationships with the firms’ immediate surroundings, based on similarity and a sense of belonging, which push deeply rooted family firms to treat their employees as salient stakeholders during hard times. Overall, our study stresses the importance of local roots in moderating the relationship between family firms and downsizing.

The Covid-19 pandemic caused disruptive effects for individuals, firms, and societies. In this paper, we offer insights on the major issues and challenges firms are facing in the Covid-19 pandemic, as well as their concerns for Corporate Social Responsibility (CSR) themes. To do so, we investigate large Italian firms' discussion on Twitter in the first nine months of the pandemic. We downloaded all Twitter posts from 1st of March, 2020, to 17th of November, 2020 by the accounts of the largest Italian firms, i.e. those with 250 or more employees. We then built the bipartite network of accounts and hashtags and, using an entropy-based null model as a benchmark, we projected the information contained in the network into the accounts layers, identifying a network of accounts in which a link indicates a non trivial similarity in terms of their usage of hashtags. We find that the conversation is focused around 13 communities, 10 of which include Covid-19 themes. The core of the network is formed of 5 communities, which deal with environmental sustainability, digital innovation and safety. Firms' ownership type does not seem to influence the conversation. 10 communities out of 13 mention hashtags related to CSR, with the environmental and social dimensions as the prevalent ones. Interestingly enough, the social dimension seems more relevant in the communities dealing with digital innovation and safety. However, the relevance of CSR hashtags is very small at the single message level, but with some peculiarities arising in specific communities. Overall, our paper highlights the role of network methods on Twitter data as a tool which can support managers and policy makers to design their strategies and decision making, capturing firms' emerging issues and relevant themes., 30 pages, 4 figures

The present research is aimed at analysing the role of the State towards the first British and Italian railway companies before the nationalisations. The article reviews the British and Italian railway legislation and financial reports, retrieved from historical archives. The results highlight two very different roles of the public institutions: while one State acted as a regulator, the other one mainly acted as an entrepreneur.