VGTU Journals (Vilnius Gediminas Technical University - Vilnius Tech)
Not a member yet
12536 research outputs found
Sort by
The need for financial education in the face of the social media and cryptocurrency phenomenon
No full textPurpose – is to provide evidence of how social networks act as an indispensable channel in the cryptocurrency phenomenon and its public perception, analysing the context in which it occurs, as well as the patterns followed and the most commonly used channels.
Research methodology – this article explores and provides evidence on the relationship between cryptocurrencies and social networks through the use of digital social listening tools, exploring data retrieved from the most prominent social networks, as well as websites, forums and blogs.
Findings – the urgent need to provide an adequate level of financial education in the digital economy.
Research limitations – the study should be carried out by age segments to assess whether it is only a problem of the younger population, which are the habitual users of social networks.
Practical implications – the cryptocurrency user or investor is aware of the existing risks associated with cryptocurrencies, especially among the young population, without underestimating the influence that social networks have had and continue to have on the perception and acceptance of digital currencies, and even on their popularity.
Originality/Value – investing in cryptocurrencies requires social responsibility on the part of institutions, demanding adequate legislation and financial training for potential investors
Taxation of electronic commerce and digital business in the conditions of global convergence economics
No full textPurpose – Identify the relationship between the amount of taxes and their payment by a digital enterprise and develop recommendations for improving the quality of e- commerce taxation.
Research methodology – On the basis of dialectical and systematic methods, the influence of the amount of the tax on filling the budgets of countries and the expansion of digital activities of enterprises was investigated. The spatial set of the study is economic agents of the EU and the USA who use the Internet for their business activities. The possibilities of conducting e- business in 15 countries of the world were studied. The time frame of the study is 2015–2025. Findings – The tax on digital products/services and virtual business is characterized through the prism of the amount of the tax, the procedure for its collection, and the amount of revenue to the budgets.
Research limitations – The limitation of the study is that not all countries of the world that carry out e-commerce or engage in digital business have an open and regulated policy of taxation.
Practical implications – The content of practical advice, the use of which will make it possible to maintain positive dynamics in the taxation of digital entrepreneurship, has been revealed.
Originality/Value – After analyzing the graphical interpretation of the Laffer curve for digital entrepreneurship, we managed to find out that higher tax rates restrain the economic activity of digital enterprises
Accuracy assessment of a three-dimensional model obtained using the LiDAR sensor of the iPhone 13 Pro Max
No full textScanning of an educational classroom was performed using the LiDAR sensor of the iPhone 13 Pro Max. Comparison was conducted between the lengths of lines and coordinates determined from the model scanned by the LiDAR sensor with precise data measured using the Leica TCR 405 ultra electronic total station and determined from the model created photogrammetrically from images captured with the Sony Cyber-shot DSC-RX100 camera. The Root Mean Square Error (RMSE) of distance and spatial positioning was calculated for the LiDAR-scanned model
Drought safety levels assessment in Uzbekistan part of the Khorezm oasis by geospatial methods
No full textThe issue of drought has emerged as a significant challenge in the Khorezm oasis over recent decades. Furthermore, the construction of the Kushtepa canal in Afghanistan is expected to exacerbate the impact of drought in the region. It is of the utmost importance to evaluate the resilience of the oasis to drought in order to ensure effective planning and mitigation strategies. This study employed geospatial data, including the normalized difference of vegetation index (NDVI), land surface temperature (LST), normalized difference of moisture index (NDMI), soil brightness, groundwater table, digital elevation model (DEM), and distance to Amudarya river, derived from Landsat 5 TM, and Landsat 8 OLI/TIRS data (2000–2023). A weighted overlay analysis was employed to identify the most influential factors, which were found to be distance from the river, canal density, soil brightness, LST, and groundwater table. The findings indicate that 3746 km2 of the oasis is safe, while 4644.32 km2, 5563.77 km2, 5486.17 km2, 7832.64 km2 are classified as dangerous, mid dangerous, high dangerous, and extreme dangerous, respectively. It is recommended that agricultural use be prioritised in areas deemed safe, that construction be restricted, and that population migration from high-risk regions to safer areas be facilitated
Evaluating embedding models for text classification in apartment management
No full textThe recent proliferation of embedding models has enhanced the accessibility of textual data classification. However, the crucial challenge is evaluating and selecting the most effective embedding model for a specific domain from a vast number of options. In this study, we address this challenge by assessing the performance of embedding models based on their effectiveness in downstream tasks. We analyze consultation records maintained by an apartment management body in South Korea, and convert this textual data into numerical representations using various embedding models. The vectorized text is then categorized using a k-means clustering algorithm. The downstream task, specifically, the classification of consultation records, is evaluated using a quantitative metric (Silhouette score) and qualitative approaches (domain-specific knowledge and visual inspection). The qualitative approaches yield more reliable results than the quantitative approach. These findings are expected to be valuable for the various stakeholders in property management
Empirical analysis of the impact of technology import on industrial innovation in China: a technology expenditure perspective
No full textPromoting steady industrial innovation through technology import is an important initiative to accelerate innovation-driven and high-quality economic development in China. In this study, a model of the impact of technology import on industrial innovation is constructed from the perspective of technology expenditure, and empirical analysis is made by employing panel data from 2011 to 2019 in China. There exists obvious regional and industrial differences in the level of technological innovation and the intensity of technology import in China. The econometric results indicate that technology import and industrial innovation are complementary generally, but in the eastern region, as well as the labor- and the technology-intensive industries appear to be substitute. There are obvious regional differences when considering the impact of the interaction items, and the acceleration of technology digestion and absorption is conducive to the improvement of innovation, while that on various industries fail the significant test except for the technology-intensive industry
Decision support algorithm development for assortment optimization in the retail chain
No full textAs the consumer market changes rapidly, retail networks require a system to optimize the quantity and assortment of goods. The authors develop and test theoretical and practical assortment optimization and distribution principles. The study aims to improve retail assortment management by creating a decision support system for optimizing commodity composition, quantity, and location. The system’s primary objective is to enhance the trading margin obtained from the sale while considering constraints related to commodity resources and shelf space. This entails optimizing the procurement and inventory management processes to maximize the profit margin. By generating freight invoices, distributing, and redistributing commodities within the network under inbound logistics orders, the system optimizes the allocation of commodities using information from the company’s existing software. The authors present an optimization method for commodities that relies on mathematical modeling and the calculation of the consolidated profitability ratio. It ensures the necessary accuracy and provides assortment management within time and cost limits, without substantial investments in equipment and updating qualifications of employees. The research outcomes are applicable to apparel retail. The practical outcome is maximizing the return on investment for goods sold per day. The algorithm’s benefits and effectiveness were calculated based on real data after implementation
Key HRDM factors enhancing SMEs’ performance
No full textThe impact of human resources development (HRD) on business performance is critical for enterprises, but there’s limited analysis of the specific factors affecting small and medium-sized enterprises (SMEs) in terms of human resources development management (HRDM). This paper aims to identify the key HRDM factors influencing SMEs’ performance from two perspectives: individual employee development and organizational development. It also categorizes entrepreneurs based on these factors. Exploratory factor analysis (EFA) and cluster analysis using the K-means method were applied in analysis of data from SMEs. For individual development, three factors were identified: Development practices, career growth, and rewards systems. Based on these, SMEs were grouped into three clusters: career and rewards-focused SMEs, development and career-oriented SMEs, and development-focused SMEs. Career Growth was found to have the greatest impact on performance. For organizational development, three factors emerged: Training, Talent Development, and Work Systems. Analysis yielded three clusters: training and work systems-focused SMEs, talent development-focused SMEs, and work systems-focused SMEs, with training being the most influential for organizational performance. The study highlights the importance of HRDM strategies for different groups of SMEs to enhance performance and deepen the understanding of HRDM’s role in SMEs, showing the complex relationships between these factors and overall firm success
Can countries bridge the gap in the quality of life? – Inheritance for Ukraine
No full textConsidering that most countries exhibit substantial disparities between the rich and the poor, there is a demand for a fresh perspective on the dynamics of a country’s development and its potential for convergence. The article represents an attempt to use a comprehensive econometric framework to analyze long-term trends in people’s consumption levels across different countries of the world over the past 60 years. The obtained results indicate a paradoxical and strategically important trend: until 2008, all countries of the world demonstrated a steady growth of CPC, albeit at different rates. After 2008, there is a significant slowdown or complete absence of CPC growth in all countries. This trend indicates that the existing economic model has exhausted itself, and within its paradigm, it is impossible to stimulate new growth of CPC for the population. While some may view this as “reaching the point of well-being,” it is a point on the brink of an abyss. Regardless of political courses, the world is moving towards a new era and a new redistribution of world forces. This can explain the growth of conflicts, wars and tensions between countries. The results of the study have significant implications for understanding the sustainability and future of the world economy, as well as for the formulation of development policies and strategies at the global level
Smart tourism economics: introducing a technology-driven competitive advantages framework
No full textRecently, in the Hospitality 5.0 era, the Smart Tourism industry has experienced disruptions due to the widespread integration of cutting-edge technologies (Artificial Intelligence, Internet of Things, Robots, Big Data, and others) enabling the overall tourist experience enhancement. This study aims to identify the main clusters of technologies adopted and to highlight the competitive advantages resulting from their implementation in Smart Tourism. A meta-analysis was conducted on a final WoS sample of 60 papers published between 2015 and 2023. Four synoptic tables showcase the technologies, the processes they facilitate, the competitive advantages, and the smart destinations where they have been implemented. The originality of this research consists of the 70 competitive advantages identified across the industry, leveraged in designing the CECoR map (Customer Experience, Costs, Revenues) and the CAdSTT framework (Competitive Advantage-driven Smart Tourism Technologies). Guidelines for supporting managers in planning and initiating projects aiming at integrating technology to increase organisational value were proposed