This study highlights the perception of women entrepreneurs in Romania regarding specific drivers for a sustainable business model. This study uses a SWOT–AHP method to assess the importance of different factors that enforce or create barriers for the success in women entrepreneurial activities. SWOT analysis was conducted based on an extended literature review. An external expert in risk analysis assessed the importance of the SWOT analysis’ four dimensions—criteria. An AHP survey of 10 women entrepreneurs was conducted to evaluate the impact of each identified factor in sustaining or discouraging the success of their sustainable business model (SBM). The main results of the study present practical implications useful for designing a gender-balanced business environment. In the final part, the paper discusses women’s preference for the sustainable business model, the perceived importance of gender-related stereotypes for the development of sustainable business models, and the relevance of the new digital economy trend to Romanian women entrepreneurship.

The phenomenon of migration among medical personnel from less developed countries is a large one, with negative effects on the origin country, but more worrying is graduates’ propensity to migrate during or immediately after university studies. The analysis of the labor market in the health sector from the last two decades shows us greater attractiveness of employment in (more) economically developed states compared to the demand from the health sector in graduates’ origin countries. This research’s purpose is to identify the determinants of the propensity to study and work abroad of medical students as a defined factor for better employment, and to identify the push factors in the origin country. As a result of the dichotomous nature of the dependent variables, logistic regression was applied. The independent variables (gender, residence, medical specialization, grades and perceived economic status) were used to identify the odds of the intention to migrate for studies. The results highlighted a higher propensity to migrate for studies among medical students, with opportunities offered by universities differing across countries and geographical areas. Moreover, students with a lower level of household income have openness to migrate, the tuition fees being managed through part-time/temporary employment during studies.

During the COVID-19 pandemic, the economy was strongly affected by the restrictions imposed by the authorities to prevent the spread of the virus, and local online platforms and e-commerce experienced an accelerated rate of growth. Small producers had no chance of staying on the market if they did not choose to reorient their business to the online environment. The purpose of this study is to highlight the determinants of consumer behavior on online market platforms, as well as the barriers that affect the intention to shop online. By conducting a qualitative survey and applying a probit OLS binary choice model, the analysis was centered on several variables with expected important impact on quick and flexible response/adaptation to new market profile, such as the age of the respondents, the level of income, the trend of online purchasing of different categories of goods, and the propensity towards online payment. The results underlined the importance perceived by the respondents of local producers, especially by people with a high level of education. At the same time, the role of the age variable as a determinant of consumer behavior before, during, and after the removal of the restrictions of the COVID-19 pandemic is highlighted.

Facing many challenges and the pressure to achieve sustainable development through digitalization, small and medium-sized enterprises (SMEs) should increase their consumption of digital technologies. SMEs are part of the engine of emerging economies, making a significant contribution to economic development. Using Rossmann’s Digital Transformation Maturity Index and a survey-based dataset, the purpose of this paper is to uncover key associations between different dimensions that define digital transformation. Through association rules mining (ARM), our results show that even when resources are constrained, SMEs in central Romania—Transylvania—make efforts to increase human resources competencies to drive digital transformation. Furthermore, we identified that the firms are in a transition stage in terms of digital transformation. Thus, although digital initiatives are considered at the firm level, they are not fully integrated into leadership and human resources.