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The purpose of this article is to investigate the relationship between gender, innovation and growth in Italian innovative start-ups.

This is a quantitative study based on a sample of more than 4,600 Italian innovative start-ups. In order to ascertain whether female-led firms that invest more in innovation grow more than their male-led counterparts, sales growth is analysed through a fixed-effects regression over the period 2015–2019. Propensity score matching is also used to check for potential selection bias.

Results reveal that innovation is crucial for start-up growth and, most importantly, that female entrepreneurs exploit the potential of innovative activities for their firm’s growth better than their male peers.

The results provide important evidence on the link between gender and innovation and how these two elements interact for the growth of firms in their early life. Results also provide insights for policymakers to use in designing programs for promoting female entrepreneurship and participation in science.

The multidimensional complexity of urban settlements is increasing and the problem of spaces and territories brought to the scale of smart cities is a critical global issue. This study aims to analyse the scientific production in the Web of Science (WoS) on the relationship between smart cities and the eight urban dimensions defined by the World Economic Forum (WEF) in the period 1990 to 2021, in order to establish which countries lead the knowledge related to the search for sustainable living conditions for people and how this knowledge contributes to improving stakeholders' decision-making.

The methodological steps followed in the study were: (1) Identification and selection of keywords. (2) Design and application of an algorithm to identify these selected keywords in titles, abstracts and keywords using WoS terms to contrast them. (3) Data processing was performed from Journal Citation Report (JCR) journals during the year 2022.

This study identified the authors, institutions and countries that publish the most globally on the topic of Smart Cities. The acceleration in the integration of new technologies and their impact on population conglomerates and their relationship with urban dimensions were also analysed. The evidence found indicates that the USA and China are leading in this field.

This bibliometric study was designed to analyse a knowledge space not addressed in the scientific literature referred to the relationship between the concept of smart cities and the urban dimensions established by the WEF, the identification of new technologies that are converging to promote developments of new ways of managing urban dimensions and propose new knowledge spaces.

Although the literature on the careers of skilled migrants is growing, relatively little is known about their experiences inside host country organizations. This article is a replication and an extension of a study by Zikic et al. (2010) on career challenges and coping strategies of skilled migrants. In contrast to the replicated study, where the focus was on the unemployed pool of talented migrants, in this study, the authors look at the career experiences of those who are already employed. Similar to the study of Zikic et al. (2010), the authors seek to explore how migrants understand their careers and what approaches they use to enact career opportunities from the perspective of “insiders” in local organizations.

The authors used a qualitative explorative approach. Based on 24 in-depth interviews with highly qualified specialists, who were hired for positions in Luxembourg corresponding to their professional profiles, the authors explore what challenges they face at the workplace and how they tackle them.

This research not only replicates the study of Zikic et al. (2010) but also extends the authors’ knowledge of the careers of skilled migrants in the context of local organizations. By focusing on employed skilled migrants, the authors open a “black box” of their career challenges and strategies and extend an earlier career typology (Zikic et al., 2010) into what happens within local organizations. In particular, this study identifies two major challenges that skilled migrants experience, namely, “trying to fit in” and “managing career mismatch”. Then, it shows three unique strategies that skilled migrants use to manage their careers. This allows us to cluster skilled migrants into three categories that the authors conceptualized, namely “workhorses”, “career rebels” and “career conformists”.

This study contributes to the literature on the careers of skilled migrants by theorizing the experiences of migrant careers after organizational entry. It also contributes to the talent management literature by providing nuanced insights into the challenges, strategies and profiles that this global talent has.

The purpose of this study is to examine the formation of sustainable development competencies (SDCs) in future primary school teachers during English for specific purposes classes, and to assess the correlation between English proficiency and the development of SDCs, including Collaboration, Strategic thinking, Critical thinking, Modelling sustainable behaviour, Systems thinking and Future thinking.

The research experiment involved the application of content and language integrated learning and facilitation methods in three higher education institutions in Ukraine. The students’ level of English language proficiency was assessed based on the results of the online Cambridge English Language Assessment test, while the level of SDC formation was measured using research methods adapted to the Ukrainian context.

The experiment revealed positive changes in the levels of SDCs and English language proficiency through integrated learning and the application of facilitation methods.

The study established a correlation between the level of English language proficiency and the formation of competencies, such as Collaboration, Strategic thinking, Critical thinking, Modelling sustainable behaviour, Systems thinking and Future thinking, all of which are vital for sustainable development.

The widespread usage of artificial intelligence (AI) is prompting a number of ethical issues, including those involving concerns for fairness, surveillance, transparency, neutrality and human rights. The purpose of this manuscript is to explore possibility of developing cognitive morality in AI systems.

This is explorative research. The manuscript investigates the likelihood of cognitive moral development in AI systems as well as potential pathways for such development. Concurrently, it proposes a novel idea for the characterization and development of ethically conscious and artificially intelligent robotic machines.

This manuscript explores the possibility of categorizing AI machines according to the level of cognitive morality they embody, and while doing so, it makes use of Lawrence Kohlberg's study related to cognitive moral development in humans. The manuscript further suggests that by providing appropriate inputs to AI machines in accordance with the proposed concept, humans may assist in the development of an ideal AI creature that would be morally more responsible and act as moral agents, capable of meeting the demands of morality.

This manuscript has some restrictions because it focuses exclusively on Kohlberg's perspective. This theory is not flawless. Carol Gilligan, one of Kohlberg's former doctoral students, said that Kohlberg's proposal was unfair and sexist because it didn't take into account the views and experiences of women. Even if one follows the law, they may still be engaging in immoral behaviour, as Kohlberg argues, because laws and social norms are not perfect. This study makes it easier for future research in the field to look at how the ideas of people like Joao Freire and Carl Rogers can be used in AI systems.

It is an original research that derives inspiration from the cognitive moral development theory of American Professor named Lawrence Kohlberg. The authors present a fresh way of thinking about how to classify AI systems, which should make it easier to give robots cognitive morality.