VGTU Journals (Vilnius Gediminas Technical University - Vilnius Tech)
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Family cyberloafing and work-life balance: digital coping with work–family conflict across generations
No full textWork-family conflict (WFC) often undermines employees’ well-being, yet the coping role of family-related cyberloafing (FCL) across generations remains unclear. Guided by the Theory of Planned Behavior, this study examines relationships among WFC, FCL, and work-life balance (WLB) and tests whether these links vary for Generation X, Millennials, and Generation Z. Survey data from 309 married Indonesian women were analysed using partial least squares structural equation modelling and multi‐group analysis. In the full sample, WFC reduced WLB, whereas FCL independently improved WLB. Multi-group analysis revealed that only the relationship between WFC and FCL differed by cohort, positive and significant for Generation X but non-significant for Millennials and Generation Z. At the same time, the influences of WFC and FCL on WLB were consistent. These findings confirm TPB-based mechanisms and highlight the need for generation-sensitive flexibility and technology policies to support work-life balance
Promotion path of digital transformation in China\u27s manufacturing industry based on technology-organisation-environment framework
No full textAs the global economy becomes increasingly digitalised, the digital transformation of manufacturing has become an important way to enhance national competitiveness and corporate viability. This study focuses on the digital transformation of the manufacturing industry. First, the digital transformation of listed manufacturing companies is scientifically measured and their current state of transformation analysed. Then, the technology-organisation-environment framework is used to examine the driving factors of digital transformation. Based on this, fuzzy-set qualitative comparative analysis is employed to summarise different digital transformation configurations. The findings show that the digital transformation of China’s manufacturing industry is still in its early stages, with significant regional differences. Achieving a high level of digital transformation can be accomplished through four paths: environment- dependent, strategic leadership, internally capability support, and comprehensive-driven approaches. Finally, practical guidance is provided on accelerating the digital transformation process and promoting high-quality development in the manufacturing industry
Identifying cyber risk factors associated with construction projects
No full textAs construction projects adopt increasingly interconnected digital technologies, their cyber-attack surface expands, making comprehensive cyber risk management essential to prevent incidents, mitigate risks, and minimize potential losses resulting from such attacks. However, the necessary risk factors for this purpose are lacking. Therefore, the study aims to develop a comprehensive set of project-level cyber risk factors tailored to the complexities of construction projects, identified through a systematic and flexible seven-step methodological framework: (1) a literature review of construction and cybersecurity sources to identify initial factors; (2) initial definition of risk categories; (3) internal evaluation and expert input to refine these factors; (4) distribution of a detailed expert questionnaire for rating; (5) expert evaluations through meetings and feedback sessions to enhance validity; (6) elimination of lower-scoring factors; and (7) establishment of quantitative scales for precise risk assessment. The findings include the 32 identified risk factors into five groups: project information, project structure, information technology (IT), operational technology (OT), and management and human aspects. The contributions include providing a set of risk factors that serve as cybersecurity management references and inputs for future quantitative risk assessments, offering a checklist used for proactive risk management, and introducing a framework adaptable for identifying factors of other risks
Robust computing technique for reaction diffusion 2D parabolic problems with shift
No full textHigher dimensional singularly perturbed problems frequently appears in many mathematical modelling. Solving such higher dimensional problem is not as much easy as possible. So order reducing technique namely alternating direction method is one such good choice for solving them. Further singular perturbation problem has its own complexities like boundary and/or interior layers, hence it requires a fitted method on special mesh. Reaction diffusion type singular perturbation problem with space shift is considered in this article. The presence of space shift leads strong interior layer in the solution. To take care of interior and boundary layers, a special mesh is constructed. Hence the problem considered in this article is solved by alternating direction method and fitted difference method with bilinear interpolation. Further the convergence analysis also carried out with rate one in both time and space. Computational validation is also done
Logistics operations management in the Industry 4.0 era: a case study for transition of an automotive company′s operations to fourth-party logistics structure
No full textIn recent years, the understanding of minimum inventory and customer satisfaction in the flow of goods and services from manufacturers to end-users is of great importance among the factors that make businesses more interested in outsourcing logistics activities. Additionally, technological transformation and customer requests for complicated technology and services caused the appearance of new circumstances, which is progressively altering the industry. In this regard, choosing, managing and coordinating between multiple vendors become very difficult and time consuming so, companies outsource more functions while supply chain operations getting more complex. Companies generally preferred 3PL providers for their logistics functions including packaging design and management of company-owned assets. On the other hand, with technological transformation in logistic sector, businesses are looking to outsource 4PL more than ever. 4PL system transitions are difficult processes since it requires comprehensive system integration and should be well understood by the company′s supply chain team. Today, although the importance of 4PL systems is more understood and this structure is becoming more widespread, many companies still face similar adaptation problems. From this point of view, it is believed that this study creates important insights into the business world. In this study, the transition process of an automotive company is examined which successfully completed after a 5-month project period. As a detailed case study, the Transportation Management Module (TTM) is selected since the whole transition process was very comprehensive and included many dimensions. Study revealed that adaptation of the new system, developed by the partnership of the automotive company and 4PL company, provided several benefits. In this sense, with the transition of Transportation Management (TM), TTM is reduced by 2 days, almost 10% savings are reported in the whole company and only in the Turkey branch, 243311 € cost saving is achieved in the 1st year. The study proves that focusing on the core business via outsourcing supply chain activities not only increases efficiency in the selected automotive company but also increases supply chain quality as well.
First published online 22 January 202
AI framework for automated terminal aerodrome forecasting
No full textAccurate Terminal Aerodrome Forecasts (TAFs) are essential for aviation safety and operational efficiency worldwide. This study develops an AI framework for automated TAF generation, including data preprocessing, model development, and evaluation. Using GFS and ECMWF datasets from 2020–2023 and real TAF forecasts from Brno International Airport the study explores the effectiveness of ML approaches for wind speed and visibility prediction. Principal Component Analysis (PCA) efficiently reduced dimensionality for wind speed predictors but proved less effective for visibility, highlighting its complex nature. Feature importance analysis identified initial observations and seasonal patterns as dominant predictors, underscoring the influence of data quality. Regression models for wind speed met ICAO standards. While Gradient Boosting (GB) classification outperformed human forecasts in raw accuracy, it suffered from poor probability calibration due to dataset imbalance. A critical evaluation of accuracy metrics – such as log-loss and F1-score – revealed their advantages and limitations, particularly in handling imbalanced datasets and probabilistic forecasting. Beyond its empirical findings, the study provides a theoretical foundation for integrating machine learning (ML) into TAF generation, discussing methodological considerations and the interaction between model performance and forecast interpretability. Future research is recommended to focus on the local models, explore advanced models, and expand the framework to diverse climatic conditions
DEA-based composite index for innovation-integrated human development performance assessment of countries
No full textThe Human Development Index (HDI) introduced by United Nations Development Programme (UNDP) offers a unique quantitative measure that encompasses advancements in three fundamental aspects of human development: health, education, and living standards. However, focusing on only three dimensions when evaluating human development performance of countries is not adequate in today’s digital world. This study proposes a data envelopment analysis (DEA)-based composite index to provide an innovation-integrated human development performance assessment tool for countries. The novel two-stage common-weight DEA-based approach proposed in here is applied in a case study examining the performance assessment of European Union (EU) countries. The first stage of the developed methodology consists of solving the novel commonweight DEA-based approach with HDI indicators as the outputs and the Gini coefficient as the input. At the second stage, innovation-based indicators from World Bank database are used to evaluate innovation efficiency of EU countries. The composite index that yields the complete ranking of EU countries in terms of innovation-integrated human development performance is computed as the product of the efficiency scores resulting from these two stages. The rankings produced by the proposed approach are compared with the HDI rankings as well as the results obtained from various common-weight DEA-based models.
First published online 27 November 202
Accuracy of the corner coordinates of a building surveyed with nine points in RTK GNSS method
No full textIn this study, measurements were made to compute the coordinates of a building’s corner with only one steel tape measure and two GNSS receivers in the field. First, three circle arcs were drawn in the field using a steel tape measure at a distance of 1 meter, 3 meters and 5 meters from the corner of the building, and three points were marked spontaneously on each of these three arcs. A total of nine points were obtained and the coordinates of these nine points were determined by using RTK GNSS technique. The coordinates of the corner of the building (K1) were computed by using the coordinates of nine points on 1 meter, 3 meter and 5 meter circle arcs. In this calculation process, the coordinates of the building corner are obtained by taking the average of the values by using nine points on the three circle arcs. When the building corner coordinates obtained with the total station and the coordinates obtained by marking nine points on the arcs were compared, the maximum and minimum differences were found in the range of 5–6 centimetre. Considering that it is advantageous in terms of time, this new method takes completely about 85 minutes for all of the points
Bivariate grid scale based multiple attribute evaluation technique (GAMETE) with incomplete information on weights
No full textIn this paper, we have devised a novel Multiple Attribute Decision Making (MADM) method referred to as the bivariate Grid Scale based Multiple Attribute Evaluation Technique (GAMETE) method to deal with MADM decision problems involving tangible and intangible attributes under incomplete weight information. The proposed method innovatively incorporates an Attractiveness GRID Scale (AGRIDS) to evaluate intangible attributes, grounded in cognitive psychological principles – particularly the separability and independence of positive and negative aspects in human judgement. Additionally, a new bidimensional positional advantage operator (bi-pao) is introduced to compute the intangible attractiveness index. Further, linear programming models are formulated in order to construct the pairwise dominance matrix. Afterwards, we rank alternatives using a dominance intensity measure and the Boolean matrix. Furthermore, the proposed method is illustrated through a logistics center location problem. We also perform a comparison with several state-of-the-art linguistic Intuitionistic Fuzzy Sets (LIFS) and linguistic Pythagorean Fuzzy Sets (LPFS) based MADMs with the aim of showing the applicability and feasibility of the method suggested. Notably, GAMETE provides a multidimensional decision-making framework suitable for addressing complex technological and economic challenges where both quantitative and qualitative factors coexist. Its flexibility and interpretability make it a promising tool for real-world strategic decision scenarios
The creativity of the resistance after the 2020 Belarusian presidential election
No full textThe protests that followed the 2020 Belarusian presidential election marked an unprecedented display of creativity as a tool of resistance. This study introduces the theoretical model of creative resistance as a civic awakening, demonstrating how creativity in 2020–2021 Belarusian protests operate on two levels: as 1) symbolic resistance to oppressive regimes and as 2) a mechanism for cultural renewal. In the Belarusian case, acts such as the reclamation of historical symbols, the leadership of women, and the innovative use of art and humour went beyond political defiance. They catalyzed a process of cultural rebirth, reasserting suppressed national identity and collective memory. This model offers a framework to analyze how creativity in social movements can challenge authoritarianism while reshaping national identities. The study provides insights relevant to broader discussions of political resistance, highlighting the dual role of creativity as both a tool for opposition and a vehicle for cultural regeneration