VGTU Journals (Vilnius Gediminas Technical University - Vilnius Tech)
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On transforming a traditional organisational culture to meet the needs of a global business
No full textThis study highlights the challenges that a traditional organizational culture faces in terms of its adaptation in the context of contemporary business models and globalisation trends. In our attempt to answer the question – Can a traditional organizational culture and global business coexist? – the constructs as research and innovation, teamwork, decision-making, risk taking, market orientation, and adaptation of organisational culture, are included in the methodological framework. A case study of Montenegro as a developing country in Southeastern Europe was used as a research method. Firstly, a desk review of relevant secondary literature sources related to organisational culture, in general and in the context of globalisation, was carried out. Secondly, the impact of globalisation and international business on the traditional organisational culture in the developing environment, was investigated using a survey as a data collection method
Integration of BIM and ar with VSLAM to assist in construction site inspection
No full textBuilding Information Modeling (BIM) has been widely adopted for construction inspections due to its ability to integrate multiple data sources. Engineers use BIM to identify and review site issues, yet inspection systems face several challenges. Firstly, positioning inspection areas on a construction site using BIM with Augmented Reality (AR) requires complex model manipulation. Additionally, signal or Internet connectivity issues may limit positioning technologies. Secondly, human error or interference is common in traditional inspection processes due to their complexity.
To overcome these barriers, this research applied BIM and AR with Visual Simultaneous Localization and Mapping (VSLAM) to help inspectors quickly and effectively record construction defects as photographs with notes and their locations. An efficient approach is proposed to integrate BIM and AR with VSLAM, and a prototype is developed to validate and demonstrate how the proposed system can assist a site inspector in performing quality management, even offline. The system uses a two-phase indoor positioning method: initial localization via visual markers and real-time tracking with VSLAM, enabling precise defect tracking and efficient model adjustments. While significantly improving inspection accuracy and efficiency, its performance is affected by environmental factors like lighting and marker placement, providing insights for future refinement
Emergency risk assessment and rescue of groundwater pollution caused by mining based on 5G network
No full textRecently, heavy metal pollution of soil, land degradation and groundwater pollution generated due to the lack of supporting environmental protection measure, which not only endanger human health, but also affect the sustainable development of mining industry. In order to avoid groundwater pollution, and improve risk assessment and rescue levels of underground water pollution, and a wireless remote emergency risk assessment and rescue system based on 5G core network is constructed, and emergency risk assessment model of groundwater pollution caused by mining is designed. The types of ground water pollution are analyzed. The emergency risk assessment of groundwater pollution is carried out, and the evaluation method of groundwater pollution is designed. A data mining algorithm is designed for optimizing 5G communication network. Taking groundwater in a mining area as the research object, 15 heavy metal indexes of 12 monitoring wells in the mining area were monitored and analyzed. The results show that proposed emergency risk evaluation and rescue of groundwater pollution caused by mining based on 5G network has better communication performance, indexes of as, Sb, Co, Fe and Mn in underground water exceed the standard. And then 5G core network construction of groundwater pollution emergency risk assessment and rescue concludes user plane function/mobile edge computing (UPF/MEC) sink and independent private network is achieved. A case study is carried out using a coal mine as researching object, results showed that proposed remote emergency risk assessment and rescue of groundwater pollution has less time delay and packet loss rate, therefore proposed emergency risk assessment and rescue of groundwater pollution has better communication performance. Finally, the emergency rescue countermeasures of groundwater pollution are taken according to evaluation results
The impact of lakeshore modifications and constructions on visual landscape quality: a mixed methods study
No full textLakeshore areas continue to be threatened by increasing human activities and land use. Development and large construction projects in lakeshore areas affect both the lake’s ecological condition and its landscape quality and aesthetics. To minimize and prevent the occurrence of significant visual impacts, it is important to understand and evaluate the magnitude of damage and the factors contributing to such impacts from development activities. In this study, a mixed methods approach is used to assess the visual impact of modifications and constructions on the lakeshore landscape. This includes (1) an objective landscape indicator-based assessment method to measure the extent of construction and modification impacts on the visual landscape, and (2) a visual perception-based assessment method to capture receptors’ evaluations of the visual landscape changes and visual impact factors on the lakeshore. Integrating the results from both methods yields a comprehensive assessment of visual impact. The results of both assessment methods indicate that the visual quality of the lakeshore landscape declined significantly during the construction phase. In addition, this study concludes that this mixed approach to visual impact assessment has greater advantages than a single approach and provides more dimensional information, criteria, and perspectives
Enhancing prediction of ride-hailing fares using advanced deep learning techniques
No full textFare prediction is a critical component of online ride-hailing services, as it significantly influences consumer decision-making and enhances operational efficiency for service providers. Reliable fare prediction is especially important in dynamic pricing environments, where fares are affected by factors such as demand fluctuations, traffic conditions, and weather patterns. This study aims to enhance fare prediction in ride-hailing services by utilizing advanced deep learning models. Using a comprehensive dataset of Uber and Lyft fare data collected in Boston during the winter of 2018, we evaluated three deep learning architectures: Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), and BiLSTM with an attention mechanism (BiLSTM + Attention). The results showed that the BiLSTM + Attention model achieved the highest prediction accuracy, making it the most effective approach for fare prediction. However, its longer training time poses limitations for time-sensitive applications. Conversely, the LSTM model provided a strong balance between predictive accuracy and computational efficiency, making it a suitable alternative for scenarios that require faster model deployment. Additionally, our analysis identified key factors influencing fare variability – such as trip distance, time of day, and weather conditions – highlighting the importance of feature selection in enhancing model performance. By improving fare prediction accuracy, this study offers valuable insights for optimizing dynamic pricing strategies, enhancing consumer satisfaction, and helping ride-hailing platforms better manage supply–demand imbalances. These findings provide a foundation for future research exploring hybrid models and real-time data integration to further improve predictive capabilities in ride-hailing services
On the stability and efficiency of high-order parallel algorithms for 3D wave problems
No full textIn this work, we investigate the stability conditions for four new high-order ADI type schemes proposed to solve 3D wave equations with a non-constant sound speed coefficient. This analysis is mainly based on the spectral method, therefore a basic benchmark problem is formulated with a constant sound speed coefficient. For a case of general non-constant coefficient the stability analysis is done by using the energy method. Our main conclusion states that the selected ADI type schemes use different factorization operators (mainly due to the need to approximate the artificial boundary conditions on the split time levels), but the general structure of the stability factors are similar for all schemes and thus the obtained CFL conditions are also very similar. The second goal is to compare the accuracy and efficiency of the selected ADI solvers. This analysis also includes parallel versions of these schemes. Two schemes are selected as the most effective and accurate
Real-time information-based combined control method for bus delay
No full textAs environmental pollution and energy consumption become increasingly serious concerns, more cities are opting for electric buses over traditional fuel buses. However, the stability and reliability of electric buses during operation are challenged by the unpredictability of traffic flow and passenger demand. Factors such as traffic congestion, weather conditions, and fluctuations in passenger numbers can compromise the punctuality of electric bus services, often resulting in delays. To address these challenges, a real-time dual-objective bus control model for mixed traffic scenarios has been proposed. This model aims to minimize both passenger time costs and company operational costs. Factors such as intersections and traffic flow are also considered. A combined control strategy, including speed control and a backup bus replacement strategy, has been proposed. Speed control is specifically aimed at managing intersection delays, allowing buses to adjust their speeds to pass through intersections optimally between queue dissipation and the end of the green-light period. The backup bus replacement strategy, on the other hand, is implemented at bus terminals, where a backup bus replaces a delayed one to maintain the schedule. A heuristic algorithm based on Particle Swarm Optimization (PSO) is incorporated into the model, enhancing its effectiveness by iteratively updating the positions and velocities of particles in the search space. Harbin City Road 96 was selected as a case study for model validation. In the off-peak case scenario, schedule deviation was reduced by 89% through the implementation of the proposed speed control strategy. Additionally, passenger waiting time was reduced by 8%, and passenger travel time was reduced by 14%. In the peak case scenario, the proposed control strategy effectively eliminated bus departure delays originating within the bus system. These results demonstrate the potential of the proposed model to significantly enhance the reliability and stability of public transportation systems, thereby improving the overall quality of public transport services
The role of education and digitalization in tourism development: evidence for the European Union
No full textThe investigation of the relationship between tourism, digitalization, education, and economic growth is increasingly significant in the context of sustainable development and technological transformation. This study examines the long run and short run impacts of digitalization (measured through internet usage and broadband subscriptions), education (reflected in tertiary enrollment and public expenditure), and macroeconomic factors (including GDP per capita, employment in services, and urbanization) on international tourism performance, as indicated by arrivals and receipts across clusters of European Union countries. Methodologically, the study adopts a two-stage approach. Hierarchical cluster analysis is first applied to classify European Union countries according to key tourism characteristics, followed by the estimation of panel ARDL models for each resulting cluster to examine both long-run equilibrium relationships and short-run dynamics. Employing panel ARDL models applied to four distinct groups of countries, the analysis highlights differentiated dynamics, strong long-run effects in high-income tourism economies and more pronounced short-run responsiveness in structurally varied countries. Cointegration tests affirm the existence of long-run relationships in most clusters, reinforcing the validity of an error correction framework. Therefore, the empirical findings indicate that digitalization exerts a consistently positive influence on tourism performance in the long-run, while the effects of education are more heterogeneous across clusters. In the short-run, the impact of macroeconomic variables and digital infrastructure is more pronounced, underscoring the relevance of structural and contextual factors in shaping tourism dynamics. The findings emphasize the importance of aligning digital and educational policies with tourism development strategies while considering the structural differences among regions. This research provides a comparative framework that enhances the understanding of tourism as both an economic and social phenomenon
Models for implementing changes in motivational factors
No full textPurpose – the purpose of this article is to present a practical model for supporting motivation in an organization and to demonstrate how aligning employees’ needs with strategic objectives increases work effort, engagement, and overall performance.
Research methodology – Conceptual development at the intersection of theory and practice has been examined through a narrative review of the relevant literature, in which the significance of Taylor’s and Weber’s theories, along with contemporary approaches advanced by Stoner and Wankel and by Schermerhorn, is emphasized and integrated with the authors’ empirical managerial experience.
Findings – effectiveness hinges above all on the correct sequencing of steps in diagnosing needs and implementing motivational changes. A deep understanding of employees’ unmet needs enables the precise selection of support mechanisms, while a tailored, multi-level managerial approach sustains motivation and more closely aligns individual and organizational goals.
Research limitations – the model is conceptual and grounded in literature and the authors’ experience; it lacks systematic, large-sample empirical testing and thus may have limited generalizability across industries and cultural contexts.
Practical implications – managers can use the model as a step-by-step guide to: assess employee needs, choose appropriate motivational tools, implement changes in the right order, and maintain motivation as an ongoing, continuous process across all organizational levels.
Originality/Value – this contribution integrates classic and contemporary motivation theories into a single, actionable process model. Also emphasizes the often-overlooked importance of implementation sequence and continuity, bridging theoretical insights with practical application
Towards sustainable architecture creation and evaluation practice: resource blindness phenomenon and chameleon principle
No full textSustainable meeting of human needs is contingent upon effective management of resources to address development challenges in qualitative manner, thereby engendering positive change. This issue concerns scientific verifiability of interaction between social and environmental capital. These settings provide the basis for development of universal theoretical framework to address principles of resource diversity in this study. The current study examines extent to which various sustainable development strategies – universal and specific documents, initiatives, collaborations and competitions, and sustainable development assessment systems – align with the aforementioned principles. Results are assumed to be in line with basic principles of art and innovation and therefore architecture, which are either ignored or endorsed. Resource blindness phenomenon and chameleon principle offer novel approaches to defining and explaining the ideas and characteristics of two distinct philosophies of creativity. The laws are crystallized through unprecedented methodology of reconciling natural and human capital characteristics through common and specific meanings described in scientific literature. Comprehensive spectrum of natures, states, types, and principles of sustainable interaction of resources thus formulated provides the universal theoretical framework. Appearance of the principles is then illustrated by architectural case study, thus defining criteria for sustainable interaction of resources in practice. Conclusions are given