5 research outputs found
An explorative analysis of european standards on building information modelling
peer reviewedMany standards for Building Information Modelling (BIM) have been published and more are being prepared. Practitioners and academics often struggle to understand
the still-evolving relationships between them and how they can support day-to-day activities. In this research we collect data on BIM standards developed by CEN/TC
442. The standards are presented in a series of prototype online dashboards and analysed to study how they are related to each other and to the different aspects. The
results can help standardisation bodies, professionals, and academics understand how key concepts are covered in standards, and explore how they are linked to other domains
Assessment of the impact of COVID-19 pandemic on the service sector in Lithuania
Research purpose. This study aims to assess the impact of selected economic indicators (independent variables) on the turnover of food and beverage service companies in Lithuania. Design / Methodology / Approach. In order to achieve the intended goal of the study, an analysis of scientific articles was performed, with the primary aim of finding out the consequences of the COVID - 19 pandemic on the Lithuanian economy and selecting five independent variables that could affect the turnover of food and beverage companies. After analysing the literature, five independent variables were highlighted: the number of tourists accommodated, the statistics of Vilnius Airport flights, the number of employees hired, the unemployment rate and inflation. Findings. The correlation and regression analysis results show that the turnover of catering and beverage enterprises and the number of accommodated tourists are strongly correlated (r>0.90). Meanwhile, the linear correlation between the number of Vilnius Airport flights and the number of hired employees with the research variable is average (0.60 <r <0.70). However, the linear correlation of macroeconomic factors such as unemployment and inflation with the turnover of food and beverage enterprises is statistically insignificant. Originality / Value / Practical implications. The originality of this article is that it studies the valuable topic of the COVID-19 crisis in service sectors, which substantially impacted Lithuania's economy and adversely affected the economic performance of the region in general. The results of this research will contribute to future monitoring and crisis planning in particular sectors. Keywords: COVID-19 impact; service sector; economic impact; tourism
Investigation of factors determining Lithuanian public debt to foreign countries
Research purpose. The study aims to examine which indicators influence the amount of Lithuanian public debt to foreign countries. Design / Methodology / Approach. First of all, in order to find out what could be preliminary indicators influencing the public debt, a comprehensive literature review has been done. This was implemented with the main goal of finding out the influencing independent variables, which were used for the next calculation. Successively was the selection procedure of the appropriate methodology for solving similar tasks. The pairwise and multivariate regression analyses have been carried out with the collected data. Findings. Empirical research has shown that all independent variables are significant and can be used for pairwise regression analysis. After doing this, the authors found that no regression equation could be completed with no variable, which means that none of the variables affects the dependent variable (altogether). A multivariate regression analysis was also performed to check the impact of the selected variables on public debt. The regression equation was succeeded only when the criterion "population" had been eliminated. The results show that GDP, the unemployment rate, inflation and the minimum wage (in composition) may have an impact on the government's external debt. Originality / Value / Practical implications. Due to the emergency (pandemic) situation, the Lithuanian state borrowed a considerable amount of money from the European Commission - last year, it was planned to borrow 2.7 billion according to the initial budget, but due to the situation, the debt was increased by 5.1 billion Euros. The concept of reasoning the amount of public debt to foreign countries is valuable not only in the concept of the COVID pandemic. This empirical research analyses the critical substances which affect the public debt based on factual statistics, correlation analysis and pairwise and multivariate regression. Keywords: public debt; impact calculation; regression analysis; unemployment; Lithuanian economy
How was the service sector in Lithuania affected through the Covid-19 pandemic?
This study aims to assess the impact of selected economic indicators (independent variables) on the turnover of food and beverage service companies in Lithuania. In order to achieve the intended goal of the study, an analysis of scientific articles was performed, with the primary aim to find out the consequences of the COVID-19 pandemic for the Lithuanian economy and select five independent variables that could affect the turnover of food and beverage companies. After analysing the literature, five independent variables were highlighted: the number of tourists accommodated, the statistics of Vilnius Airport flights, the number of employees hired, the unemployment rate and inflation. The correlation and regression analysis results show that the turnover of catering and beverage enterprises and the number of accommodated tourists are strongly correlated (r >0.90). Meanwhile, the linear correlation between the number of Vilnius Airport flights and the number of hired employees with the research variable is average (0.60 <r <0.70). However, the linear correlation of macroeconomic factors such as unemployment and inflation with the turnover of food and beverage enterprises is statistically insignificant