Journals Published by Vilnius Tech
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Improving obsessive-compulsive buying through brand attachment and hedonic value: customer-based brand value
This study aims to explore how hedonic value influences obsessive-compulsive buying behavior by examining the mediating roles of brand attachment and customer-based brand value. The research addresses inconsistencies in previous studies on the influence of hedonic market value on obsessive-compulsive buying by integrating brand attachment and customer-based brand value as key factors. The literature review reveals a gap in understanding the mediating role of these variables in the relationship between hedonic value and compulsive buying. Six hypotheses were developed and tested using PLS-SEM within a sample of 246 customers in Central Java, Indonesia. The results highlight that customer-based brand value significantly mediates the impact of hedonic value on brand attachment, which in turn enhances obsessive-compulsive buying. Additionally, the study finds that brand attachment directly contributes to the increase in compulsive buying behavior. The findings suggest that a positive customer experience, influenced by strong brand identity, is crucial in fostering brand attachment and subsequently driving obsessive-compulsive purchasing. This research provides a comprehensive understanding of how hedonic and brand-related factors interact to influence consumer behavior
Impact of physical vanity, achievement vanity and brand equity on the consumption of luxury skincare products
The aim of this study is to evaluate the influence of physical Vanity, achievement vanity, and brand equity on luxury consumption in the skincare industry, considering the promising US$13.9 billion beauty and personal care market in India, as estimated by Euromonitor International. Data were collected from 200 male and female participants in the National Capital Region of Delhi, India, belonging to various geographic groups and income levels. Confirmatory factor analysis was utilized to assess the relationship between observed and latent variables, while regression analysis was employed to determine the impact of physical Vanity, achievement vanity, and brand equity on luxury consumption. The study reveals that physical Vanity, achievement vanity, and brand equity positively affect luxury product consumption, with brand equity having the most significant impact. The associations between luxury consumption and physical Vanity, achievement vanity, and brand equity were found to be statistically meaningful. The findings offer valuable insights for skincare market marketers, allowing them to identify opportunities and strategize to capture untapped markets in the country. Additionally, the results enable them to understand the relative influence of the three factors – physical Vanity, achievement vanity, and brand equity – on luxury consumption. This research contributes to the understanding of the positive effects of physical Vanity, achievement vanity, and brand equity on luxury product consumption. The survey-based approach offers a comprehensive yet succinct overview of the existing literature and its implications, benefiting both luxury brand managers and future researchers
The EU Green Agenda legal framework and economic growth in developing countries: a panel EKC approach
With the rapid rate of climatic change and environmental degradation, sustainable economic growth with conservation of the environment has turned into a question of highest priority and concern for the world, especially for developing nations. The study aims to interpret the European Green Agenda legal framework and its implications for the green economy of developing countries using the Environmental Kuznets Curve EKC as a basis of panel estimation. The research method used is quantitative, using data from 1990 to 2024 from the World Bank Indicators. The econometric approach is based on panel data employing the Environmental Kuznets hypothesis for further empirical estimation. The variables included in the model are Carbon Intensity CO2, and GDP per capita growth in a panel of 6WB countries such as Kosovo, North Macedonia, Albania, Montenegro, Bosnia and Herzegovina and Serbia. The main hypothesis testing is that the developing countries face greater CO2 emission in their attempt to grow economically, which is also the main hypothesis under the Environmental Kuznets Curve. The study finds a U-shaped relationship function between GDP per capita growth and Carbon Intensity CO2 in the case of the Western Balkans under study circumstances. The greater the GDP per capita growth (above the turning point level of 4259.69), the greater the Carbon intensity. The study further concludes that the EKC hypothesis does not have universal implications depending on the stage of country development and the period under investigation. This study is very important for several reasons: first, it is the first testing the basic EKC hypothesis for the Western Balkan countries and adds to the literature the fact that the EKC hypothesis is not universal; second, by using econometric models of panel data, it tests the EKC hypothesis and proves the opposite, an U function; between CO2 and GDP per capita growth and third, the study emphasizes the importance of the European Green Agenda towards sustainable economic growth and environmental protection
One-signed rotationally symmetric solutions of singular Dirichlet problems with the prescribed higher mean curvature operator in Minkowski spacetime
We investigate the existence, uniqueness and multiplicity of one-signed rotationally symmetric solutions of singular Dirichlet problems with the prescribed higher mean curvature operator in Minkowski spacetime. The main tools are the Schauder fixed point theorem along with cut-off technique and the Leggett-Williams fixed point theorem. In addition, we give some practical models to illustrate the effectiveness of our results
Exploring service improvement through importance-performance analysis considering the reliability of multiple online platforms
Service improvement has emerged as a pivotal task for hoteliers to ensure competitive advantage. This study proposes a service improvement method based on online reviews from multiple platforms considering the reliability of online platforms and different evaluation modes, where the reliability of an online platform is defined based on the number of online reviews on that platform and the degree of review helpfulness. In our method, Latent Dirichlet Allocation model is utilized to extract keywords, and lexicon-based sentiment analysis methods are employed to analyze the sentiment of online reviews on each platform considering different evaluation modes. The importance of attributes on each platform is measured by the TextRank method. A multi-platform-oriented importance-performance analysis model is constructed based on the integrated performance and the importance of attributes, so as to classify attributes and formulate service improvement strategies. A case study about hotel service improvement is implemented to illustrate the effectiveness of the method. Results show that the attributes classification results considering the reliability of multiple platforms is more reasonable compared to the results based on a single platform, providing more effective service improvement strategy and clearer view of attribute status on various platforms for hoteliers
Models for implementing changes in motivational factors
Purpose – 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
The effect of colour on students\u27 learning experience and creativity in design schools
Research indicates that colours used in learning environments can influence student performance in terms of creativity. However, the impact of different shades of classroom walls affect students’ learning experience regarding creativity and willingness in a design school has not been explored in past research. This study aims to analyse the effects of various colours on students’ creativity in a design school based on hue, chroma, and value attributes. The colour of the walls has a unique effect on how successfully college students perform in the classroom. This study built six virtual classrooms with red, blue, and green walls, each with two distinct values and chroma, to determine a good wall colour to encourage creativity. College students’ perceptions were also gathered at the same time. According to the subjective survey, the colours green-yellow (105, 131, 130) and blue-green (48, 132, 154) on the walls had a mildly positive effect on the students. In contrast, green-yellow (114, 127, 82) and blue-green (37, 150, 190) positively impacted the student’s ability to focus and desire to work. Red (196, 88, 88) and red (231, 49, 69) had a negative effect on the students. These findings highlight the potential of carefully chosen colours to enhance the learning environment and improve student outcomes in design schools
Learning creative interpretation in the music classroom: the possibilities of the emotional expression method
The article discusses the problems of interpretation of a piece of music and presents a part of an extensive research on 26 filmed lessons, where the emotional expression method is used to reveal innovative possibilities for encouraging creative interpretation. The emotional expression method is used here as a way of stimulating musicality and musical, including interpretative, skills, and self-expression, by expressing the content of a work’s emotional intonations, or the experiences of a “fictional hero”, evoked by the integration with non-musical art forms. In this one alternative empirical experiment we used Emery Schubert and Dorottya Fabian’s taxonomy of expressive features in music performance, which was developed in 2014 and focuses on expressivity in music performance, defines the specificity of interpretations, determines the differences between performances, and allows to identify the style of the various different interpretations. The participants (19 female and 7 male students) were selected for the experiment by means of representative case sampling. The main aims of the 26 experimental lessons were to stimulate the pupil to develop a personal relationship with the piece being performed, its “fictional hero”, to improve the pupil’s interpretation of the piece, and to stimulate the discussion of moral values by asking specific questions focused on the fulfilment of the goals of emotional and ethical education. The results of the study were evaluated by four experts – teachers of different specialisations in the subject of the instrument. The evaluation procedure was based on the review of the experimental filmed lessons and the filling in of templates of evaluation protocols (104 in total) prepared in advance by the researchers. The study revealed the positive impact of emotional expression method on harmonising the music-making process, where traditional teaching makes it challenging to quickly achieve changes in sound quality, dynamics, phrasing, expressiveness, or stylistics; it helped to develop the student’s emotional competence and reduce stage anxiety. However, there were also necessary conditions for the application of emotional expression method: the pupil must have a good knowledge of the text of the piece of music, so that the “technical” difficulties do not interfere with the expression of the experiences of the “fictional hero” used in the method
Integration of aerial photo and LiDAR data for determining the position and height of oil palm trees using object-based analysis and canopy height model algorithm
The monitoring of oil palm trees using various technologies, methods, and software is conducted to replace the traditional techniques that are less effective. In this study, an analysis was conducted on the automatic detection results of oil palm trees to determine the estimated height of the trees. The trees were automatically extracted and calculated using eCognition Developer and eCognition Oil Palm Application (OPA) with the Object-Based Image Analysis (OBIA) algorithm on three sample areas: homogeneous, semi- homogeneous, and heterogeneous. The performance test of the two software on the three samples showed that the detection accuracy reached more than 80%. The automatic detection results were used to calculate the tree height using the Canopy Height Model (CHM). The Root Mean Square error (RMSe) was calculated for all centroid samples to evaluate the accuracy of the tree position detection and as a basis for determin- ing the height. The RMSe position result of eCognition OPA was lower than that of eCognition Developer. The RMS values for the homogeneous; semi-homogeneous; and heterogeneous areas were 0.8149; 0.7772; and 0.02118 for eCognition OPA, respectively, which are lower than the values of 0.7718; 0.9044; and 1.0517 for eCognition Developer, this indicates better estimated tree height results
Housing rental availability index: A tool for addressing supply-demand challenges in rental markets
We develop a Housing Rental Availability Index (HRAI) to measure rental housing availability across Poland by incorporating household income, rental prices, and supply-side factors. The HRAI is constructed using the structured parametric approach, offering a comprehensive and adaptable framework for analysing rental housing dynamics in Poland. Based on the Polish rental market data from 2021 to 2024, the HRAI reveals that supply constraints and rent fluctuations have a greater impact on rental availability than household income. This result challenges traditional affordability metrics. Sensitivity analysis confirms that rental availability emerges from the interaction of supply and demand rather than from either factor alone. This integrated approach positions HRAI as an “anti-separatist” indicator and presents an original approach to examining rental housing availability. The index can help local and national policymakers design targeted rent subsidies, address supply-demand imbalances, and promote spatial equity. Our findings highlight the value of combining economic measures into a single availability index and provide a framework for applying the HRAI in both academic research and housing policy decisions