Improving employee performance is one of the main levers for companies to achieve their goals. The detachment of work from place is a growing trend, affecting the performance levels of both employees and employers. The purpose of this research was to assess job satisfaction in telework conditions, based on areas considered decisive and evaluated by specific items. To this end, an opinion questionnaire was created, the information was processed with correlation analysis and regression analysis. This study showed that job satisfaction in telework is associated with higher skills, autonomy, and a favorable organizational climate, but also with a higher level of emotional exhaustion generated by constant access to work, as well as the lack of relationships and mentoring. We found a statistically significant positive link between competencies, autonomy, organizational climate, and job satisfaction. Significant differences were observed in the perception of job satisfaction with respect to the gender dimension, as well as between employees of various age categories.

In this paper, the authors seek to analyze if the relationship between final consumption and foreign trade indicators, at a macroeconomic level, manifests as a Granger causality. The graphical representation of the datasets reveals that the evolutions follow a similar pattern (with the exception of the net export). The indicators on both sides of the causality have been widely approached by researchers, as they contribute to the formation of the Gross Domestic Product. The research methodology follows the Toda-Yamamoto procedure for measurement of Granger causality, as the variables were expected to be (and were found to be in the initial step of the data analysis) non-stationary, and the results on the processing in levels can provide more accurate information. The research hypotheses were designed in order to detail the main topic of the paper on foreign trade indicators. None of the hypotheses has been validated, and the authors consider, in the future, the application of other methods to assess the quantitative side of the links between foreign trade and final consumption. The authors consider that a significant contribution brought by this study is the type of data analysis method applied and the approach towards the two macroeconomic components of the economy, for the cases of Romania and the entire European Union, of which Romania is a member.

In this paper, the authors aim to measure the influence of the macroeconomic indicators that characterize a national economy on some key national health indicators. The purpose is to obtain an updated evaluation of the population medical status, under the impact of either growth or economic decline. The analysis focuses especially on Romania but also on other countries, to be able to investigate comparatively national indicators and trends. Multiple data sources have been used for an in-depth analysis, to fit in an appropriate manner the purpose of the study. Static and econometric data analysis software was applied on primary data, as analysis instruments. The correlation coefficient and the regression were the tools used to obtain the study conclusions. We start from the premise that the potential of statistic data sources, combined with the processing power of the data analysis tools would be able to lead to the best result. We have also reviewed the previous studies performed on the same topic and, along with our data, the obtained conclusions should have a certain value and interest not only for current needs and utilization, but also for future researches. The authors are aware of the direct influence between the macroeconomic status (or performance) indicators and the indicators that characterize the health of the population, and will attempt to measure the intensity of this impact on several key selected domains.