How cooperatives generate and absorb social capital has attracted a great deal of attention due to the fact that they are collective organizations owned and democratically managed by their members, and, accordingly, are argued to be closely linked to the nature and dynamics of social capital. However, the extant literature and knowledge on the relationship between cooperatives and social capital remain unstructured and fragmented. This paper aims to provide a narrative literature review that integrates both sides of the relationship between cooperatives and social capital. On the one hand, one side involves how cooperatives create internal social capital and spread it in their immediate environment, and, on the other hand, it involves how the presence of social capital promotes the creation and development of cooperatives. In addition, our theoretical framework integrates the dark side of social capital, that is, how the lack of trust, reciprocal relationships, transparency, and other social capital components can lead to failure of the cooperative. On the basis of this review, we define a research agenda that synthesizes key trends and promising research avenues for further advancement of theoretical and empirical insights about the relationship between cooperatives and social capital, placing particular emphasis on rural and agricultural cooperatives.

In recent years, the use of artificial intelligence (AI) has significantly increased in the field of workplace well-being. This study systematically reviews the most common applications of AI in this context, covering literature published between 2018 and 2023, and evaluates both its current and potential impact. The research involved a comprehensive search in the Scopus and Web of Science databases, following PRISMA guidelines, resulting in 31 articles that met the inclusion criteria. The qualitative synthesis reveals that AI is being utilized in areas such as mental health monitoring, emotional support, personalized well-being programs, identification of psychosocial risk factors, and training and development. This review contributes to the existing literature by offering a detailed categorization of AI applications in workplace well-being, and it highlights the practical utility of AI in enhancing employee mental health and overall well-being. The findings suggest that AI has the potential to revolutionize the management of workplace well-being, providing actionable insights for both researchers and practitioners. Recommendations for future research are also discussed.

The research into corporate volunteering (CV) has been prolific, although few studies have focused their approach on senior and retired workers under the framework of the corporate social responsibility (CSR). The social participation of retirees in CV activities contributes to the businesses’ socially responsible performance and can be intimately connected with the global commitment pursued by the Sustainable Development Goals (SDGs) by the year 2030. This article aims to explore the key issues that might have influence the effective implementation of CV programs to integrate retired and pre-retired workers, promoting a participatory and healthy aging. Based on the interface of internal and external corporate social responsibility, we discuss how CV can achieve social legitimacy, influencing the health and well-being of workers beyond the employment relationship. The main contribution of this article to the state of art is to extend the literature on CSR and CV by elaborating a theoretical model that integrates both perspectives with the focus on the SDGs. The results suggest that SDGs represent an opportunity and a frame of reference for CSR strategies. Companies engaged in senior CV activities could enhance their corporate and social images within the strategic action of social responsibility, indisputably improving people’s health and well-being.

The main goal of this research is to identify the reasons for gender differences in European volunteer rates in different types of voluntary organisations. To that end, we focus in volunteer rates at individual and national levels. We have drawn our data from the European Values Survey (EVS, 1999 and 2008). We have employed Logit models carrying out independent estimations for the individual likelihood of working as a volunteer for four categories: social awareness, professional, education and social justice. We have carried out independent estimations and we have also repeated estimations by gender subsamples. Our main result is that social factors might be even more relevant for decisions to volunteer than individual socio-economic factors. Specifying the peer group as much as possible allows better control of social variables. For example, studying the female volunteer rate is more relevant to control for the female national NGO membership rate than the total national rate. We also highlight important gender differences. For example, education is positively correlated with decisions to volunteer for both genders in all categories, but the educational effect is stronger for men in relation to professional activities and stronger for women in relation to social awareness and social justice activities.

The main goal of this article is to explore the role of individual sociodemographic characteristics and national social backgrounds in forming people’s decisions to engage in voluntary work. We have drawn data from the European Value Survey (1990, 1999, and 2008). We analyze voluntary work as an aggregate measure and also through four different categories. We have performed multilevel regression models taking into account a hierarchical structure of two levels: individual and country. There are no relevant gender and age differences, and, in fact, the most important differences lie in the impact of social factors rather than individual characteristics. We also highlight that geographical effects are diluted after controlling for social factors, but a certain level of geographical variance remains unclarified by the explanatory variables. This conclusion has important policy implications because it opens the door to implementing social policies that could be effective for all European countries.

The reasons why people volunteer their time and services are of great interest and they have been the subject of academic research. This article helps identify some of the underlying reasons for the marked differences in youth volunteering among member states of the European Union. Our objective is to describe the similarities and differences in countries’ youth volunteer rates on individual and national levels. To this end, we identified individual and contextual factors and compared volunteer activities. We used data from the European Values Survey (EVS) for that purpose. As a methodological strategy, we carried out Logit models to estimate individual probabilities of working as a volunteer. The main result shows that social capital variables are the most relevant when young people decide to participate in voluntary activities.