Journals Published by Vilnius Tech
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Effects of the moderating role of trendiness on brand image, E-WOM, brand attitude and online purchase intention
No full textPurpose – The purpose of the research is to analyse the impact of electronic word-of-mouth (e-WOM), brand image, and consumer attitude on purchase intention, as well as the moderating influence of trendiness on these relationships.
Research methodology – The study is quantitative research. Six hypotheses were put forward and tested in the research model. Survey data derived from a sample of 922 participants from Azerbaijan were examined using SPSS in order to evaluate the hypothesis.
Findings – According to the main findings, regression tests, it was determined that e-WOM, brand image and attitude towards the brand affect online purchasing intention. However, for the first time in this study, the moderator role of the trendiness variable, which was tested statistically, on the effect of e-WOM, brand image and attitude variables on online purchase intention was carried out. As a result of the analysis, although the moderator role of trendiness in the effect of e-WOM’s online purchase intention and brand image on online purchase intention was found to be significant and positive, the moderator role of trendiness in the effect of attitude on online purchase intention was found to be insignificant.
Research limitations – The study exclusively covers Azerbaijan’s fast-food service industry. Also, different people may have different ideas about fast food places, and the brand names in the questions may affect how people answer.
Practical implications – This study’s scientific innovation is the first statistical test of the moderating role of the trendiness variable in the effects of e-WOM, brand image, and attitude on online purchase intention. Practical innovation is that data specific to the Azerbaijani fast-food sector can be useful for practitioners in helping brand managers better understand consumer behaviour and develop trend-focused marketing strategies.
Originality/Value – This research makes a major addition to was proved for the first time in the literature that the trendiness variable affects the brand’s images and e-WOM even if it does not affect the attitude-to-purchase orientation. In this study, trendiness was found to strengthen the relationships between e-WOM, consumer perceptions of brands, and intent to buy, which reveals a new relationship not found in the existing literature. However, fast-food consumption habits of Azerbaijani consumers were also determined by a large survey
Enhancing organizational citizenship behaviors through HRM practices: insights from employee perceptions in Moroccan firms
No full textResearch purpose – This study examines the impact of Human Resource Management (HRM) practices: recruitment, training, compensation, and performance evaluation, on employees’ Organisational Citizenship Behaviour (OCB) in Moroccan companies.
Research methodology – A quantitative approach was employed. Data were collected via a structured questionnaire from 209 non-HR employees across various Moroccan companies. Exploratory Factor Analysis (EFA) was conducted to examine the measurement structure, followed by Structural Equation Modelling (SEM) to assess the relationships between HRM practices and OCB.
Findings – HRM practices have a positive and significant influence on OCB. Training and compensation showed notable effects, while recruitment and performance evaluation also contributed to fostering a positive work environment, enhancing employee engagement, and encouraging behaviours beyond formal job requirements. These results highlight the pivotal role of HRM in promoting organisational commitment and discretionary behaviours.
Research limitations – The use of a convenience sample and self-reported data limits generalisability and may introduce bias. The quantitative design does not fully capture the complexity of employee experiences, and data collection faced constraints due to refusals and limited collaboration. The study does not investigate the relationship between HRM practices and counterproductive behaviours, suggesting avenues for future research.
Practical implications – Managers should prioritise transparent recruitment, continuous training, fair compensation, and objective performance evaluations to encourage OCB. These practices help cultivate a motivated and collaborative workforce, supporting organisational productivity and a positive work environment.
Originality/Value – This study contributes uniquely by examining the effect of HRM practices on OCB in the Moroccan context, which remains underexplored. By focusing on employee perceptions, it provides actionable insights for HRM research and policy, helping organisations enhance work behaviour and overall performance
Building human capital and dynamic managerial capability to elevate organizational agility and performance: a strategic for SME resilience
No full textPurpose – This study explores the strategic role of human capital, dynamic managerial capability, and organizational agility in driving organizational performance within SMEs in Bali, Indonesia.
Research methodology – Investigates the direct and indirect effects of human capital and dynamic managerial capability on organizational performance, mediated by organizational agility. A quantitative survey was conducted with 396 SMEs, using PLS-SEM for data analysis.
Findings – Human capital enhances organizational agility but does not directly impact performance, while dynamic managerial capability positively influences both agility and performance. Organizational agility is found to significantly improve performance and partially mediates the relationship between human capital, dynamic managerial capability, and organizational performance. This research contributes to the critical role of organizational agility in transforming internal competencies into tangible performance outcomes, especially under volatile market conditions.
Research limitations – Research is limited by its geographic scope, cross-sectional design, and reliance on self-reported data. Future studies could explore the dynamic interplay of these factors across different regions and over time.
Practical implications – SME managers should prioritize developing agile capabilities and enhancing dynamic managerial competencies to effectively convert human capital into improved organizational performance under volatile conditions.
Originality/Value – Organizational agility as a crucial mechanism that translates internal competencies into tangible performance outcomes, especially under conditions of environmental turbulence.
Study of a class of nonlinear heterogeneous diffusion with mixed phases under L∞ − data
Full text linkIn this paper we investigate a class of nonlinear degenerate parabolic equations involving heterogeneous (p,q)-Laplacian operators and subject to Dirichlet boundary conditions. These equations model complex diffusion phenomena with mixed-phase behavior in heterogeneous media. Our aim is to establish existence and uniqueness results for weak solutions under minimal regularity assumptions on the source term f, without requiring any control at infinity. The main difficulties stem from the degeneracy of the operator, the non-standard (p,q)-growth conditions, and the discontinuity of material phases. To overcome these challenges, we develop a variational framework based on Orlicz–Sobolev space theory and employ a generalized version of the Minty–Browder theorem to ensure the surjectivity of the nonlinear operator. Our approach yields new energy estimates, compactness results in non-reflexive settings, and stability under L∞-perturbations of the data. This work provides a rigorous mathematical foundation for analyzing nonlinear diffusion problems in complex and irregular environments
The concept of the extended mind and artificial intelligence: the problem of human creativity
Full text linkThe 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
Prediction of terrestrial water storage changes by using GRACE data over Nile river basin
Full text linkThis 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
Market effects of government reference price for resale housing transactions
Full text linkThis paper investigates the market effects of a reference price policy (the RP policy, hereafter) for resale housing of selected residential projects in Shenzhen, China. The RP policy sets ONE reference price per square meter for each regulated residential project, and requires housing listing prices as well as banks’ valuation in mortgage lending to be below the reference price, but it does not limit transaction prices. Using housing listing, transaction, and rental data, we have two findings. First, the policy lowers the probability of transaction in the regulated projects, which prolongs home sellers’ time on the market; the deeper the reference price is below the would-be listing price of a residential project, the more substantial the probability of transaction is reduced. But we do not find evidence that it significantly reduces housing transaction prices. Second, the RP policy induces more homes in regulated projects to be leased out and reduces housing rents. We explain the two findings as the outcome of home buyers’ and sellers’ reference-dependent and regret-avoidant behaviors. Additionally, we discuss the spillover of the policy effects from regulated to unregulated projects, as well as the possible confounding effect of the RP policy’ role as finance constraint for buyers
Modeling sustainable environmental responsibility behavior of students in private university
Full text linkUsing a novel integration of Environmental Literacy Theory, the Theory of Planned Behavior, and Sustainable Development Theory, this study models the determinants of environmentally responsible behavior (often termed organizational citizenship behavior for the environment [OCBE]) among undergraduates at private universities in Malaysia. Data were collected via stratified random sampling of 450 students and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings show that environmental attitudes and a sense of responsibility partially mediate the effect of environmental knowledge on OCBE, highlighting their pivotal roles. These results suggest that educational interventions should not only impart environmental knowledge but also foster pro-environmental attitudes and responsibility. The framework provides guidance for educators and policymakers to design curricula and policies that align with Malaysia’s Sustainable Development Goals (SDGs) and national environmental education targets. By highlighting these mediating factors, the study offers actionable insights for universities and policymakers aiming to advance Malaysia’s sustainability education agenda and SDGs
On improved P1-interpolation error estimates in W1,p(0, 1): application to the finite element method
Full text linkBased 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
Variable s-step CGNR method for solving the matrix equation AXB = C arising in image processing
Full text linkThe matrix equation is widely utilized in signal and image processing. In this paper, we present a variable s-step algorithm based on the CGNR method for solving this matrix equation by employing normalization techniques. This algorithm is subsequently enhanced through the application of s-step and regularization methods. By varying the number of basic matrices involved (denoted as s), both the accuracy and speed of the algorithm are improved. The proposed algorithm effectively computes solutions to the matrix equation, demonstrating superior performance when the problem matrices are symmetric. Finally, we investigate the performance and efficacy of these techniques through several numerical examples