Journals Published by Vilnius Tech
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On shifts of periodic zeta-function in short intervals
Full text linkThe periodic zeta-function , , , in the half-plane \sigma > 1 is defined by Dirichlet series with periodic coefficients , and has the meromorphic continuation to the whole complex plane. The function is a generalization of the Riemann zeta-function and Dirichlet -functions. In the paper, using only the periodicity of the sequence , we obtain that the shifts , , approximate a certain class of analytic functions, defined in the strip \{s \in \mathbb{C} : 1/2 < \sigma < 1\}. For , the set of such shifts has a positive lower density in the interval , . The case of positive density is also discussed. For the proof, the mean square estimate in short intervals for the Hurwitz zeta-function, and probabilistic limit theorems are applied
The influence of digital finance development on bank efficiency: evidence from China
Full text linkDigital finance has enhanced financial service accessibility, reduced costs, and disrupted traditional business models. Based on the functional view of finance, a theoretical model including commercial banks, households, and enterprises is constructed to analyze the impact of digital finance on bank efficiency and explore its mechanisms through liabilities and assets. In this paper, a three-dimensional framework including digital financial foundation, digital banking business and new financial services is constructed and a digital finance index is calculated to represent the development of digital finance at the city level. Then, using the stochastic frontier analysis (SFA) method, the efficiency of commercial banks is measured with the data of Chinese banks between 2011 and 2020. This empirical study shows that digital finance significantly improved the efficiency of China’s commercial banks. For every extra unit of digital finance, bank’s cost efficiency will increase by 0.72% and its revenue efficiency will increase by 3.17%. This conclusion is still valid after multiple robustness checks, including substitution of explanatory variables, cutting samples and regression with instrumental variables. These findings also indicate that the influence of digital finance on the change in bank efficiency varies across different regions, scales, and types of ownership, among which high GDP regions, large-scale banks, and state-owned banks have a relatively strong effect on efficiency. A further analysis of the mechanism shows that digital finance affects liability structure of banks, i.e., banks are usually inclined to have a smaller proportion of interbank liabilities as digital finance advances. Concurrently, digital finance also alters banking risks, which in turn affects their asset side. The core process through which digital finance enhances banking efficiency is more closely connected to the strong optimization impact of digital finance on the liability side than to weakening effect on the asset side.
First published online 23 December 202
Design thinking and quality management in architecture and design faculties: from accountability to empowerment and creativity
Full text linkThis research aims at enabling and developing quality management in art and design faculties through the understanding of the relationship between quality management and the systems of design thinking. Moving away from merely achieving quality standards to integrating administrative work and creativity in meeting these standards. The research culminated in the creation of an equation that elucidates the incorporation of quality management into the structure of design thinking, emphasizing recurring thematic elements. These themes are rooted in the foundational principle of continuous improvement in efficiency and effectiveness, underscoring the central role of human involvement in planning, implementation, and development processes. The overarching objective is to attain optimal effectiveness through proactive participation and collaborative initiatives. This highlights the necessity of conducting multiple applied research studies to promote and validate this paradigm within higher education institutions
Everyday Urbanism in Lithuanian towns: the case of old community gardens in Grigiškės and Plungė
Full text linkThis paper examines old community gardens as an example of Everyday Urbanism in two small Lithuanian towns. While academic interest in newly created community gardens in Central and Eastern European countries is growing, old community gardens remain largely absent from academic discourse. To analyse the social and spatial factors essential to their development in Grigiškės and Plungė, scientific literature, statistical data and land use maps from socialist period master plans were used. Additionally, contemporary master plans and other urban planning documents were analysed, alongside interviews, to discuss the current context of old community gardens and explore their potential future trajectories. The results indicate that old community gardens were established during the socialist period, primarily due to the rural backgrounds of new urban residents. These gardens were created informally on vacant land next to blocks of flats, land that has remained undeveloped to this day due to multiple factors throughout the 20th and 21st centuries. Although they are not officially recognised, the future development of old community gardens in Grigiškės and Plungė may differ based on varying attitudes from local government and their specific locations. These gardens exemplify the diverse and informal nature of Everyday Urbanism, highlighting the need for a more flexible approach to their preservation and integration into urban planning
Multi-criteria decision analysis of e-commerce software selection using AHP-NWA hybrid model
Full text linkIn the digital economy, selecting the right e-commerce platform is a strategic decision with significant implications for efficiency and competitiveness. This paper applies a hybrid decision-making framework that integrates the Analytic Hierarchy Process (AHP) and Net Worth Analysis (NWA) to evaluate five popular e-commerce platforms: Magento, WooCommerce, Shopify, PrestaShop, and OpenCart. AHP was used to derive weights for evaluation criteria, while NWA incorporated expert assessments of alternatives. Results indicate that security (32%) and functionality (25%) are the most critical factors, followed by maintenance costs (14%) and scalability (11%). The ranking shows Magento as the leading platform (0.575), excelling in security and functionality, while WooCommerce (0.567) is highly flexible and Shopify (0.563) stable though less customizable. PrestaShop (0.505) and OpenCart (0.496) scored lower, making them suitable for smaller businesses. The contribution of this study lies in the integration of AHP-derived weights into the NWA framework under a dual expert panel structure, ensuring methodological independence and reducing bias. This hybrid approach offers both practical implications for digital business strategy and theoretical insights into combining hierarchical and network-based MCDM methods, thereby addressing a research gap in e-commerce software evaluation
A deep learning-based algorithm for unitizing ecologically sensitive areas in rural landscapes
Full text linkThe ecological sensitivity of rural landscapes exhibits complexity and diversity. Traditional evaluation methods, which merely take into account a single factor or a limited number of factors, struggle to effectively manage uncertain information. This leads to inaccurate classification of ecological units in rural landscape ecological images, thereby undermining the precise assessment of the distribution of ecological sensitivity in rural landscapes. Therefore, a deep learning based algorithm for dividing rural landscape ecological sensitive areas is proposed. By selecting six major factors that affect the ecological sensitivity of rural landscape, such as geological environment, ecological and hydrological conditions, an ecological sensitivity evaluation index system is constructed, which is used as an input vector, and fuzzy neural network is used to output the ecological sensitivity of rural landscape; In addition, support vector machine is used to divide the ecological units of the collected rural landscape ecological images, and the division results and the sensitivity evaluation results of each unit of rural landscape are used as the input data of ArcGIS software to realize the visual presentation of the unit division results of rural landscape ecological sensitive areas. The results showed that with the increase of slope, the ecological sensitivity of rural landscape showed a trend of first increasing and then decreasing, the vegetation coverage rate decreased, and the ecological sensitivity of rural landscape showed a trend of gradually increasing; This algorithm can effectively evaluate the sensitivity of each unit of rural landscape, and visually present the unit division results of ecological sensitive areas of rural landscape. This algorithm can compare and analyze the changes of ecological sensitivity under different time dimensions
Impact of influencer’s authenticity and credibility on purchase intention: case of virtual vs. human influencer
Full text linkThis study investigates the influence of influencers’ authenticity and credibility on purchase intention, with a focus on the differences between virtual influencers and human influencers. Using a 2×2 factorial design experiment, the research explores the mediating role of influencer authenticity in the relationship between influencer credibility dimensions (trustworthiness, expertise, and attractiveness), message credibility and consumers’ purchase intentions under the framework of the Information Adoption Model. It further examines the moderating role of the interaction of influencer types (virtual vs. human influencer) and message frame valence (positive vs. negative). The findings reveal that influencers’ perceived trustworthiness and attractiveness are positively associated with the authenticity and purchase intention, whereas expertise does not have a significant impact. Influencer authenticity consistently predicts purchase intention for both virtual and human influencers, regardless of message valence. In contrast, message credibility does not have an impact on purchase intention for virtual influencers delivering negative-framed messages, but it remains a significant antecedent in the other three conditions.
Article in English.
Nuomonės formuotojo autentiškumo ir patikimumo įtaka pirkimo ketinimams: virtualiųjų ir žmogiškųjų nuomonės formuotojų atvejis
Santrauka
Šiame tyrime nagrinėjama nuomonės formuotojų autentiškumo ir patikimumo įtaka vartotojų pirkimo ketinimams, daugiausia dėmesio skiriant virtualiųjų ir žmogiškųjų nuomonės formuotojų skirtumams. Taikant 2×2 faktorinio dizaino eksperimentą, tiriamas nuomonės formuotojų autentiškumo tarpininkaujantis vaidmuo ryšyje tarp nuomonės formuotojų patikimumo dimensijų (patikimumo, kompetencijos ir patrauklumo), žinutės patikimumo ir vartotojų pirkimo ketinimų, remiantis informacijos įsisavinimo modeliu. Toliau nagrinėjamas nuomonės formuotojų tipų (virtualusis ir žmogiškasis) ir žinutės rėmelio valentingumo (teigiamas ir neigiamas) sąveikos moderuojantis vaidmuo. Tyrimo rezultatai rodo, kad nuomonės formuotojų suvokiamas patikimumas ir patrauklumas yra teigiamai susiję su autentiškumu ir pirkimo ketinimais, o kompetencija reikšmingo poveikio neturi. Nuomonės formuotojų autentiškumas nuosekliai prognozuoja pirkimo ketinimus tiek virtualiųjų, tiek žmogiškųjų nuomonės formuotojų atveju, nepriklausomai nuo žinutės valentingumo. Priešingai, žinutės patikimumas neturi įtakos pirkimo ketinimams, kai virtualieji nuomonės formuotojai pateikia neigiamai suformuluotas žinutes, tačiau kitomis trijomis sąlygomis jis išlieka reikšmingu veiksniu.
Reikšminiai žodžiai: virtualusis nuomonės formuotojas, patikimumas, autentiškumas, žinutės rėmelio valentingumas, pirkimo ketinimai, faktorinis eksperimento dizainas
What burns out young generations? Part I. Professional burnout among employees from generations Y and Z – problem analysis
Full text linkProfessional burnout is one of the most toxic phenomena affecting employees in contemporary organisations. Previously researchers focused on the professional burnout syndrome in the context of professions involving severe stress in the workplace. However, the changing realities of the modern world, turbulent shifts in the social, economic and business dimensions, as well as challenges of psychosocial nature mean that the burnout problem is increasingly noticed among young employees who theoretically should not be significantly affected by this phenomenon at this stage of their career. The purpose of this research is the empirical identification and assessment of organisational and psychosocial factors which can be strong determinants of the occurrence and development of professional burnout among representatives of generations Y and Z. The studies presented in this paper present the perspective of employees – generation Y and Z representatives employed in Polish businesses. The research results demonstrate organisational and psychosocial factors which in the opinion of the subjects of the research are the strongest determinants of the occurrence of professional burnout. The research results presented in this paper constitute part of a larger research project. The second part of the research is presented in the article “What Burns Out Young Generations? Burnout and Countermeasure Methods and Practices: The Perspective of Generation Y and Z Employees, Part II.
Enhancing ant colony optimization with genetic algorithm and 3-Opt for multiple drone spraying path planning in precision agriculture
No full textEfficient and environmentally responsible pesticide application is a major challenge in precision agriculture. Excessive pesticide use in conventional farming increases costs, harms the environment, and poses health risks. Recent advancements in unmanned aerial vehicles (UAVs) or drones have enabled targeted spraying, yet optimizing multiple-drone route planning and task allocation remains complex due to dynamic field conditions and limited drone capacity. To address this gap, this study proposes a hybrid optimization approach that integrates Ant Colony Optimization (ACO), Genetic Algorithm (GA), and 3Opt to generate efficient flight routes for multiple sprayer drones based on plant health levels. In this framework, ACO assigns drones to target points, GA automatically tunes key ACO parameters, and 3Opt enhances route efficiency through local optimization. Experimental results show that GA effectively automates the tuning of four key ACO parameters and that drone capacity significantly affects route length. The integration of GA, ACO and 3Opt further reduces total route length, achieving up to 13.6% improvement in efficiency compared to traditional ACO. These findings demonstrate the potential of the proposed method to enhance route efficiency, reduce energy consumption, shorter mission completion time and offers a practical solution for improving the performance and sustainability of multiple-drone spraying operations
Evaluating financial viability of boilers in palm oil mills under processing capacity variability: a case study approach
No full textPurpose – This study evaluates the financial feasibility of boiler investments in palm oil mills, examining the variability in processing capacities resulting from seasonal yields and operational constraints.
Research methodology – A case study was conducted at a palm oil mill in Indonesia, assessing five investment scenarios through sensitivity analysis to compare repair and new boiler strategies at capacities of 48, 51, and 58 tons of FFB per hour. Financial metrics including Net Present Value (NPV), Internal Rate of Return (IRR), and payback period were employed.
Findings – Results exhibit that repairing the boiler, specifically at a capacity of 58 tons/hour, provides the greatest financial returns, with a Net Present Value (NPV) of USD 9.5 million and an Internal Rate of Return (IRR) of 21%, surpassing investments in new boilers. Scenario 5 demonstrated the highest financial resilience in response to variations in costs and revenues.
Research limitations – This research is based on financial assumptions and a singular case study context. Wider generalizations necessitate analysis across various operational contexts.
Practical implications – The findings provide decision-making tools for palm oil mills to optimize capital expenditure in relation to capacity variability and cost efficiency.
Originality/Value – This research incorporates operational variability into financial modeling, offering a novel perspective on boiler investment strategies within the palm oil sector