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As women’s position in the economy and society is often explained by cultural factors, this study aims to verify whether the observed changes in female empowerment in the region of Central and East European (CEE) countries of the European Union (EU) are associated with masculinity as a cultural trait.

The authors apply the k-means clustering method to group CEE countries into clusters with similar levels of female empowerment in two time points – 2013 and 2019. Next, the authors examine the clusters and cross-reference them with the national culture’s masculinity to explore the interrelations between female empowerment and cultural traits in the CEE countries and their development in time.

The analyses reveal that female empowerment is not uniform or stable across the CEE countries. The masculinity level is not strongly related to women’s position in these countries, and changes in female empowerment are not closely linked to masculinity.

Despite the tumultuous history of women’s empowerment in the CEE countries, the issues related to gender equality and cultural traits pertaining to the region are relatively understudied in the literature. By focusing on the CEE region, the authors fill the gap in examining the independencies between female empowerment and cultural masculinity.

The article examines whether cross-border trade in digitally delivered services (DDSs) has an influence on European female entrepreneurship. Two research questions were asked to assess the potential impact of trade in DDSs both on the import and export sides.

To answer the research questions, the panel data for 26 European countries for the years 2008–2019 were implemented to estimate panel regression models. Based on the results of variance inflation factors (VIFs) and Breusch–Pagan and Hausman tests, the estimations of panel models were conducted for female entrepreneurship as a dependent variable and measures of import and export of digitally delivered services as independent variables.

The imports of digitally delivered services positively affect female entrepreneurship in European countries, whilst the impact of the export of digitally delivered services is statistically insignificant. The possibility of being a customer of digitally delivered services through its import may become a gender equaliser in entrepreneurship. However, as differences in digital competencies and growth intentions prevent women from acting as the providers of digitally delivered services, the export of DDSs can sustain the existing gender gap in entrepreneurship.

The research findings provide the added value in the field of female entrepreneurship, referring to institutional theory and human capital theory. The import of DDSs seems to support female entrepreneurs through the reduction of cultural distance, whilst the human capital theory gains the perspective of limited digital competencies needed to export DDSs as a pathway to the internationalisation of women's ventures. The practical implications for trade policy, digitalisation and gender equality should aim not only at supporting women's export propensity, but should also focus on the development of their digital competencies.

Instead of commonly used perspective of international entrepreneurship, the authors implemented the lens of cross-border trade to check whether there is a linkage between internationalisation, measured by imports and exports of DDSs and female entrepreneurship. Trade economists neglect the gender dimension in their studies of pro-growth internationalisation. In contrast, research on female entrepreneurship does not consider the potential of cross-border trade in DDSs as a gender equaliser.

Increasing the need for education for sustainable development in universities requires an understanding of the predictors of students’ environmental concern (EC). In this paper, the authors focus on the EC of business students because of their future responsibility for business operations regarding the exploitation of natural resources. The aim of the study is to examine the predictors of business students’ environmental concern.

Based on the Norm Activation Model as the theoretical framework, this study hypothesizes the model of EC with two main predictors: ascription of responsibility for the environment (AOR), driven by locus of control and self-efficacy (LC/SE), and awareness of positive consequences of consumption reduction on the environment (AOC), driven by perceived environmental knowledge. Structural equation modelling was applied to confirm the conceptual model based on the responses of business students from six countries (Czech Republic, Croatia, Hungary, Poland, Slovakia and Spain) collected through an online survey.

The environmental concern of business students is predicted both by the ascription of responsibility and by awareness of consequences; however, the ascription of responsibility is a stronger predictor of EC. A strong impact was found for internal locus of control and self-efficacy on AOR, as well as a weaker influence of perceived environmental knowledge on AOC.

Sustainability education dedicated to business students should provide environmental knowledge and strengthen their internal locus of control and self-efficacy in an environmental context.

Although several theoretical concepts imply different determinants of female entrepreneurship, the literature lacks a consensus on their significance. The aim of this paper is to verify how industry specificity influences the gender pay gap and its relation to female entrepreneurship.

The authors distinguish industries based on the gender equality level, measured jointly by two factors: pay gap level and female participation rate. The study has been conducted among 22 European countries with relatively similar institutional backgrounds. The authors carry out the analysis based on the panel regression models, which enable the authors to verify two predefined research questions.

The results of panel regression models indicate that industry specificity plays a significant role in the relation between the pay gap and female entrepreneurship. Generally, it can be concluded that gender pay gap as a measure of gender inequality is dependent on the industry specificity. The dependence is especially visible in the breakdown of male- and female-dominated industries.

The findings are consistent with the assumption that the gender pay gap is a discriminatory factor for women willing to become entrepreneurs in certain industries. The findings of the study may constitute a vital tool in planning to overcome it.

Immigrant integration through entrepreneurship is hindered by the prevalent informality of their ventures. This study aims to examine the factors influencing the formalisation of immigrant entrepreneurship, with special focus on those who are under the impact of the host country.

The study is based on a series of focus groups conducted among a total of 59 Ukrainian immigrants in Poland. Based on coding into first-order categories, second-order themes and aggregate dimensions, the authors created a model of immigrant entrepreneurship formalisation.

The results of the research included in the model show the groups of factors influencing the formalisation of immigrant entrepreneurship. Immigrants bring both their personal attitudes and embeddedness in their country of origin during immigration. Then, factors of the host country’s institutions, interactions between local authorities and local communities and the need for a new place of belonging interact in the formalisation process. Formal entrepreneurs, as a new identity for immigrants, are the result of the formalisation process.

The results not only focus on social capital or the institutional failures of formal and informal institutions in transforming immigrants into formal entrepreneurs, but we also recognise the individual aspect of the new identity as formal entrepreneurs and a new place of belonging. In addition, the authors distinguish the importance and interactions between local communities and local authorities in this process. The paper contributes to the theory of entrepreneurship, migrant study and institutional theory.

The social inclusion of immigrants has been a central public policy issue in European countries, and entrepreneurship is often promoted as a form of integration. Female immigrants face double discrimination of gender and ethnicity while becoming entrepreneurs. The aim of the paper is to investigate the female empowerment in the host country as a predictor of immigrant women engagement in entrepreneurship.

Based on panel data for European Union countries for years 2006–2021, female immigrant entrepreneurship was modelled by the impact of variables showing the empowerment of women in host countries. Data availability was the determinant regarding the inclusion of 22 countries: Austria, Belgium, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Luxembourg, Malta, Netherlands, Poland, Portugal, Slovenia, Spain and Sweden were all in the research sample.

Although immigrant entrepreneurship is highly context-oriented and locale-specific (as in the physical setting for relationships among people), some universal patterns for a group of countries are found. A stronger political and managerial position of power for the women in host countries encourages female immigrant entrepreneurship, while the gender pay gap is statistically insignificant.

The originality of the paper is due to the multi-country level and female-focused research perspectives in immigrant entrepreneurship. The study refers to the intersectionality of gender and ethnicity, arguing that the empowerment of women in host countries affects female immigrant entrepreneurship at the macro-level.

Artificial intelligence (AI) carries the risk of widening gender inequalities due to the digital divide, while simultaneously promising to equalise the situation for women through the gender digital dividend. The conflicting findings from previous studies justify the need to investigate the gendered aspects of Artificial Intelligence (AI) diffusion. Specifically, the aim of this chapter is to understand the relationship between female entrepreneurship and the adoption of AI technologies within business contexts at the macroeconomic level. To achieve this, cluster analyses are conducted for the European Union (EU) countries. The results indicate an inverted U-shaped pattern in the relationship between the level of female entrepreneurship and the diffusion of AI technology in business. In the EU countries belonging to clusters with the highest level of AI diffusion, female entrepreneurship is at a moderate level, while in the EU countries with the lowest level of intelligent transformation, both extremes are observed: the highest and the lowest levels of female entrepreneurship. The variety of patterns in female entrepreneurship and AI technology spread in the EU countries implies the complex and multidimensional nature of the interrelationship, and, thus, it indicates the need for diverse, country-specific policies and practices to reach the intelligent transformation with respect to more equal society.