Increases in productivity and competitiveness of an economy are based mostly on the actions of companies in terms of providing technical capital to workers and of operations efficiency (management, financial, recruitment, finding markets and suppliers, internal and external communication, etc.) through digitalization. This paper deals with the way in which the economies and companies in Central and Eastern European (CEE) countries manage to adapt to the trend that started, mostly after 2000, in digitalization; also, it analyzes the extent to which an increase in the degree of business upgrading via integrating digital technology into the business model leads to a surge in economic performances (productivity, exports) and, consequently, to a greater attractivity to foreign capital flows.

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Subjective well-being (SWB) has presented long-lasting interest for researchers and the recent focus on the economic approach to SWB led to increased awareness of the topic. Despite the significant number of studies, conceptualizing and assessing SWB, along with finding predictors of SWB, need further empirical exploration. Following this rationale, using statistical and econometric methods (correlation analysis, Principal Component Analysis (PCA), Multinomial Logistic Regression (MLR)) applied on data collected via a survey on students from Bucharest University of Economic Studies (363 respondents), this study explores and provides insights that support a better understanding of defining and measuring SWB. Additionally, the study offers valuable information on the main determinants of SWB for a particular group, in this case, Romanian business students. According to findings, we argue that: (1) when assessing perception of life satisfaction and happiness, Romanian students tend to make slight distinctions between these two concepts; (2) question order effect is not significant, whereas negative sentiments (such as pessimism) impact self-assessment of happiness, but not of life satisfaction; (3) the main predictors for SWB are satisfaction with current activities, level of optimism/pessimism, health, and safety of the neighborhood. This paper proposes a new approach to modeling SWB by MLR, which features expressing the dependent variable with respect to the principal factors obtained by PCA.

In the past two decades the topic of “green jobs” has drawn particular attention, resulting in a widely diverse and relatively large number of published papers. Although a determinant for the increase of knowledge, the heterogeneity of these studies may raise the issue of a systematic documentation of the key contributions in this field. In this context, the present research focuses on analyzing the scientific literature published in the last five years on the topic of “green jobs” with the aim to identify definitions and meanings associated with the concept of “green jobs”, the connected terms, areas of research interest and the main theoretical and practical results. The results reveal that although there is no uniformity in the definition of the concept, there is still a convergence towards the initial meaning offered by the UNEP/ILO/IOE/ITUC Report of 2008. Moreover, using scientific software VOSViewer our research shows that the concept of “green jobs” is most linked with the following terms: sustainable development, the green economy, the circular economy, the welfare economy, the European Green Pact, energy, renewable energy, economic development, and employment. Furthermore, our analysis reveals that the studies focused on “green jobs” are mainly concerned with the following issues: green jobs creation, work-life balance, correlations between green business and green jobs and the role of local government in supporting green jobs.

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