VGTU Journals (Vilnius Gediminas Technical University - Vilnius Tech)
Not a member yet
12536 research outputs found
Sort by
How does green innovation determine corporate physical investment? New empirical evidence
No full textDue to the escalating issue of global warming and other environmental concerns, green innovation has garnered significant attention. However, there is a dearth of literature addressing the impact of green innovation on industrial investment. Therefore, the present study aims to investigate how green innovation affects corporate physical investment. We utilize a wide array of financial data from a panel comprising 11 Asian economies and employ the system GMM (generalized method of moments) to test the underlying hypothesis. The empirical findings reveal a positive and statistically significant effect of all proxies for green innovation, including patent registrations, the development of environmental technologies, innovation intensity, and green growth innovation, on corporate physical investment. The empirical analysis yields a crucial policy implication, emphasizing the importance of prioritizing green innovation and the adoption of modern technology. These initiatives not only boost investment volumes but also contribute to achieving environmental sustainability. By exploring the intricate relationship between green innovation and corporate physical investment, the current study introduces innovative insights to the literature on financial and environmental economics.
First published online 03 September 202
Digitalization and configurational effects on regional income inequality: analysis of panel data from 134 economies
No full textThe literature on the impact of digitalization on regional income disparities is fragmented and contentious. Drawing on complex systems perspective and configurational theory, this paper analyses the configurational effects of digitalization factors embedded in specific contexts on regional income disparities, using a sample of 134 economies from 2012 to 2021, employing Panel Fuzzy-Set Qualitative Comparative Analysis (Panel fsQCA) and Necessary Condition Analysis (NCA). This paper identifies four context-specific configurational patterns through which digitalization reduces regional income disparities. While no single condition emerges as a strictly necessary condition, digital inclusion and digital finance demonstrate broad positive effects across configurations. Although digital transformation cannot guarantee reduced disparities, severe digital deficiency consistently leads to widening regional income disparities. At the same time, this paper discovers previously unnoticed causal mechanisms and captures the dynamic trends and spatial characteristics of digitalization’s impact. These findings offer diverse,adaptable insights for regional common prosperity.
First published online 23 September 202
Analytical formulas for polynomial coefficients in radial basis function interpolation
No full textRadial basis functions (RBF) are used in many areas, including interpolation and approximation, solution of partial differential equations, neural networks, and machine learning. RBFs are based on the sum of weighted kernel functions. Additional orthogonal polynomials are added for robustness, numerical stability, and computational efficiency improvement.This contribution gives a new analytical formula specifying values of the polynomial coefficients used in RBF interpolation. The zerodegree polynomial coefficient is related to the sigmoid function used in RBF-neural networks (RBF-NN).Unlike prior works where polynomial augmentation is only used to guarantee solvability, this paper provides explicit closed-form formulae for polynomial coefficients (with special focus on the zerodegree case). This new analytical treatment clarifies their role as global bias terms in both interpolation and RBF neural networks. Expected applicability is in data interpolation and approximation, RBF-neural networks, scientific computing and PDE solutions, geostatistics & spatial interpolation, machine learning, and data fitting and signal processing
The concept of the extended mind and artificial intelligence: the problem of human creativity
No full textThe concept of the extended mind was developed by Andy Clark and David Chalmers in the 1990s. Scholars have repeatedly interpreted this concept and elaborated on its various aspects. This article addresses technological aspects of the extension by focusing attention on the complementary action (called augmentation) of artificial intelligence on the human mind and its consequences. While some of them result from the possibility of expanding human cognition, others concern agency, including moral agency. Extension in this context means restoration of the abilities that the human being has lost or equipping man with new competences. Developed within the philosophy of the human mind, the concept of the extended mind can be applied to reflections within the philosophy of technology, especially as our understanding of the correlation between man and the tools he uses is becoming clearer. Artificial intelligence is an artifact that expands and complements human thinking and acting in the context of collecting and organizing information. Importantly, artificial intelligence can significantly complement human creativity in the operational and combination dimension; moreover, it can suggest new and unconventional solutions. Artificial intelligence should be treated as a human creation, operating on the basis of the observed model of human skills and tasks formulated by the programmer or designer. We should also characterize the threats to the risks associated with artificial intelligence development and analyze the possibility of creating ethical use of artificial intelligence-equipped artifacts, including ChatGPT
Dividend policy in a crisis: a pre and post-COVID-19 comparison of DJIA and DAX companies
No full textThis study examines the shifts in dividend policy drivers for companies listed on the Dow Jones Industrial Average (DJIA) and Deutscher Aktienindex (DAX) by comparing the pre-COVID-19 (2015–2019) and post-COVID-19 (2020– 2024) periods. Employing a two-stage methodology, we first use factor analysis to distill traditional and cash flow-based profitability indicators into key factors, followed by panel regression models to assess their impact on dividend payouts. Findings indicate that the 2020 crisis significantly altered dividend strategies. For DJIA firms, dividend policy shifted from asset-based profitability (pre-2020) to a strong reliance on equity-based profitability (ROE, CFROE) post-2020, reflecting investor preference for immediate returns during uncertainty. For DAX firms, cash flow-based profitability emerged as the primary driver post-2020, unlike the pre-crisis period where no profitability factor was significant, highlighting distinct market responses to economic shocks in the U.S. and Germany
Impact of influencer’s authenticity and credibility on purchase intention: case of virtual vs. human influencer
No full textThis 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
On improved P1-interpolation error estimates in W1,p(0, 1): application to the finite element method
No full textBased on a new Taylor-like formula, we derived an improved interpolation error estimate in W1,p. We compare it with the classical error estimates based on the standard Taylor formula, and also with the corresponding interpolation error estimate, derived from the mean value theorem. We then assess the improvement in accuracy we can get from this formula, leading to a significant reduction in finite element computation costs
On shifts of periodic zeta-function in short intervals
No full textThe 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
Enhancing reintegration of juvenile delinquents through creativity in art therapy
No full textFor juvenile offenders, engaging in creative activities supports adaptation to their particular life situation by diverting attention from existing difficulties, contributing to a gradual stabilisation of the emotional system and making less salient feelings of isolation. In this study, we will look at the possibilities of art therapy for juvenile offenders and its positive effects, focusing on visual arts. We explore the conceptual background of the topic, examine the positive effects of these activities, and present important practical initiatives. Based on the findings of the literature and the initiatives studied, the positive outcomes of art therapy are wide-ranging, not only contributing to the development of specific skills, but also facilitating emotional expression and increasing self-esteem. For individuals who have lower communication skills, lower self-esteem, and poorer academic performance, art therapy programmes can be particularly beneficial and provide opportunities for learning and development. The literatures confirm that it is an excellent tool for preventing secondary desistance, so it is not only in the interest of the young people concerned, but also of society as a whole to support these programmes
Prediction of terrestrial water storage changes by using GRACE data over Nile river basin
No full textThis research involved training two deep learning prediction models: Long Short-Term Memory (LSTM) and Dipper Throated Optimizations Fitness Grey Wolf-LSTM (DTOFGW-LSTM), utilizing data obtained from remote sensing to reconstruct and predict the Terrestrial Water Storage Changes (TWSC) over Nile River Basin (NRB). We evaluated factors including Terrestrial Water Storage Changes (TWSC) and Groundwater Storage Changes (GWSC), identified through the Gravity Recovery and Climate Experiment (GRACE) and GRACE-Follow-On (GRACE-FO), alongside precipitation data collected by the Global Precipitation Climate Change Program (GPCP) to analyze the patterns of change within the research area. We utilized the LSTM and DTOFGW-LSTM algorithms to rebuild the TWSC and GWSC from 2018 to 2024. We utilized the precise model to forecast the GRACE gap from 2017 to 2018 and the TWSC from 2024 to 2030. The findings demonstrated the superiority of the suggested model (DTOFGW-LSTM) with a root mean square error (RMSE) of 0.51, a coefficient of determination (R²) of 0.99, and a mean absolute percentage error (MAPE) of 0.21