The current paper aimed to comparatively scrutinize some key dimensions apposite for the dynamics of traditional versus virtual teams in the context of the COVID-19 pandemic. Emphasis was laid on the positive leadership perception, communication effectiveness among team members, objectives achievement, diversity approach, and the perception of team culture strength. Invitations to fill in an online questionnaire consisting of paired items were sent in January 2022 via email to over 200 potential respondents working in both traditional and virtual teams, using a snowball sampling technique; 137 subjects completed the entire questionnaire, hence allowing a reasonable research sample for conducting relevant statistical analyses (i.e., paired t-test given that the aim was to investigate the difference between paired sets of variables for the same issues). The empirical exploration brought to the fore significant differences among the considered dimensions, thus underscoring the benefits and drawbacks of working in traditional versus virtual teams in the context of the new normal. Evidence was brought forward that teamwork in traditional teams (i.e., based on face-to-face interaction) is preferable to that in virtual teams (i.e., based on online interaction). Meaningful differences were observed regarding the perception of team culture strength, communication effectiveness, positive leadership perception, and diversity approach in favor of traditional teams, the questioned respondents opting for the offline coordination and collaboration processes.
Research background: Risk is an integral part of the world of financial markets today. One of the best known and widespread methods of quantifying the risk of a securities portfolio is the concept of value at risk (VaR). The method quantifies the maximum possible loss of a securities portfolio for specific variables. We used the work of Carol Alexander as a basis for our contribution, whence we borrowed mathematical formulas and derivatives of normal linear VaR and VaR scaling. Purpose of the article: The aim of this study is to design our own method of using the VaR calculation in the trading process and to practically verify the explanatory power of such calculation. To meet this goal, we used our own designed and adjusted formulas to calculate normal linear VaR and scaling VaR. Methods: The purpose of these adjusted formulas is to calculate specific levels of significance of specific scenarios of the course of trading positions, which represent the probability of their occurrence. Subsequently, we used regression analysis and constructed two regression models to verify that the significance levels themselves were significant variables, and that they could explain the variability of the explanatory variable to such an extent that they could be considered as strong predictors in the trading process. Findings & Value added: Based on such research, we find that the resulting levels of significance of our proposed VaR calculation formulas are significant. Based on the compiled regression models, we also find that the dependence we identified is a strong one and can therefore be considered as systematic. Nevertheless, the materiality levels could explain only a small proportion of the variability of the variable being explained, and therefore could not be considered as strong predictors and thus involved in the trading process itself.
In the present economic context, one of the most important topics of discussion is that regarding sustainable development. According to the agenda developed by the United Nations, one of the most important objectives for the present decade is represented by the list of the Sustainable Development Goals. The Sustainable Development Goals can be divided into five pillars: people, planet, prosperity, partnership and peace. One of the first stipulated goals of the UN agenda is the eradication of poverty and famine. We consider that a significant influence on the eradication of poverty is represented by the development of technology. In this paper, the authors aim to establish a connection between the rate of technological development and the poverty headcount rate. To measure the digital development of the analyzed countries, we decided to compose an index of digital development by taking into account indicators made available by the International Telecommunication Union and the poverty headcount ratio, as was calculated by the World Bank database. This empirical study is of interest for the implications that it has in shaping governmental policies regarding easing the access to digital technology. The method used to quantify the influence of digital development on poverty was the panel data GMM vector autoregressive model for a dataset composed of 35 countries for the period between 2005 and 2018. The results indicate that an increase in digital development will lead to a reduction in the poverty headcount rate. These results imply that by increasing access to technology, countries could help reduce their level of poverty. In this paper, we will also analyze the way in which adopting digital development leads to better economic performance when faced with the COVID-19 pandemic. The results of the present study are of great interest to the scientific community and the public due to the implications of digital development in the field of economics and the combined effect of this phenomenon and the COVID-19 pandemic. We thus conclude that by encouraging digital development and through adopting new technologies, the government can lead to the eradication of poverty. This seems counterintuitive due to the fact that investment in shelter and primary goods can be seen as one of the primary ways of developing the economy. We conclude that better and more consistent results regarding the reduction of poverty can be obtained by increasing the digital development of a country.
Nowadays the tourism industry faces major changes given the vast possibilities for the development of a collaborative economy in tourism that brings forth a new marketplace where consumers rely on each other-changing renting, swapping, and sharing their accommodation locations. The purpose of the present paper is to answer one of the most important challenges of the City of Brașov in Romania, which is the management of the touristic offer. The paper provides a quantitative-qualitative research approach that analyzes - based on semi-structured surveys with the users of collaborative platforms - the perception of travelers concerning the development of collaborative tourism in Brasov County. The management of touristic offer should take into account the pressure that this new type of renting may be exerting on the local economy, especially considering unfair competition on other segments of the tourist market and the change in the physiognomy of the cities of Brașov County.
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