Journals Published by Vilnius Tech
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Enhancing reintegration of juvenile delinquents through creativity in art therapy
Full text linkFor 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
Green bond vs green stock: which one can resist climate policy uncertainty in China?
Full text linkThis paper applies the time-varying parameter-stochastic volatility-vector auto-regression (TVP-SV-VAR) method to explore the correlations among China’s climate policy uncertainty (CPU), green stock (GS), and green bond (GB). The findings evidence dynamic impacts from CPU to the green assets, indicating that the hedging ability of green assets varies over time. In the short and medium term, the GS may hedge the rising CPU risks effectively while the GB is not. However, in the long term, both the GS and GB may resist the CPU risks, although the GS is found to perform better. Furthermore, the results also suggest that the GS is more reliable when the unexpected shocks happen. Thus, compared to the GB, the GS may possess higher uncertainty risks hedging ability. Nevertheless, the results also suggest that the hedging ability of the GS decreases in recent years. The findings may help investors construct portfolios to hedge CPU risks. Moreover, the results suggest that the government should further promote the standardisation of green investment and reduce the information asymmetry of climate policy, which is critical to improve the performance of green assets
Factors affecting knowledge sharing in blockchain technology in the Chinese construction industry
Full text linkWith the emergence of blockchain technology, knowledge sharing has become increasingly important for gaining a competitive advantage in any industry. However, it has not been fully implemented in the construction industry. This paper examines the factors influencing knowledge sharing in blockchain technology, using the Chinese construction industry as a case study. First, the study identified the key factors affecting knowledge sharing through a literature review and construction market research, classifying them based on the technology–organization–environment (TOE) framework. Next, the study employed focus group discussions to explore the relationships between pairs of factors and applied the interpretive structural modeling-matrix of cross-impact multiplication applied to classification (ISM-MICMAC) method to evaluate and prioritize these key factors. Finally, based on the empirical analysis, the paper discusses measures to promote knowledge sharing in the construction industry. This study contributes to the academic understanding of the factors influencing knowledge sharing and offers a fresh perspective for future research. Additionally, it provides practical insights to help the construction industry gain a competitive advantage and achieve sustainable development
Promoting a green luxury product to belong or to stand out: a concept comparison test approach
Full text linkLiterature on luxury products reveals that product promotion involves two status-signaling goals as psychological mechanisms of social adaptation: the value-expressive function (to stand out: status enhancement) and the social-adjustive function (to be accepted: status affirmation). Traditionally, the value-expressive mechanism has been the most effective in promoting luxury goods. However, how these mechanisms operate for sustainable products, given the common assumption that luxury customers tend to disregard sustainability attributes, remains underexplored. This study challenges the aforementioned assumption by assessing how status-signaling goals influence willingness to pay for luxury products with sustainability attributes. Findings indicate that brand promotion that uses the social-adjustive function can be effective. This study recruits 464 participants and adopts an experimental approach involving concept comparison testing to explore the differences in consumers’ willingness to pay for a green luxury car. The car is presented with two distinct claims related to the above-mentioned luxury mechanisms and the absence or presence of a sustainable feature. Across all combinations of stimuli, participants perceive the sustainable luxury car as more appealing. This study shows that introducing a sustainability attribute in luxury brand communications can enhance consumers’ willingness to pay under either of the two status-signaling mechanisms
Development of innovation capability through intellectual capital, psychological capital, authentic leadership, and knowledge management in the trading industry
Full text linkInnovation capability is increasingly critical for organizations facing technological disruption and global competition. In Indonesia, particularly in Batam City’s trading industry, firms struggle to enhance innovation despite the growing availability of digital technologies such as Radio Frequency Identification (RFID), e-commerce platforms, and automation systems. This study investigates how intangible resources – intellectual capital, psychological capital, authentic leadership, and knowledge management – contribute to the development of innovation capability in this context. Data were collected from 306 employees in trading companies and analyzed using partial least squares structural equation modeling (PLS-SEM). The results show that intellectual capital strongly influences knowledge management, while psychological capital, authentic leadership, and knowledge management significantly enhance innovation capability. Knowledge management also mediates the relationship between intellectual capital and innovation capability. The study contributes to the knowledge-based view by integrating human, leadership, and knowledge perspectives, and extends prior research to the trading sector of an emerging economy. For managers, the findings highlight the importance of investing in intellectual and psychological capital, adopting authentic leadership practices, and strengthening knowledge management systems to maximize the benefits of technological tools such as RFID
Weak solutions to degenerate p(t)-Laplacian elliptic equations involving (q, r(t)) double phase Hardy terms
Full text linkThis paper is devoted to establishing novel existence criteria for weak solutions to a class of weighted quasilinear degenerate elliptic equations featuring double phase Hardy-type singular coefficients. These types of problems are rarely discussed in variable exponent Sobolev spaces in previous work. We prove the existence of at least one and at least two weak solutions via variational methods and critical point theory, under appropriate assumptions on the weight function and the nonlinearity
Well-posedness and exponential stability for the logarithmic Lamé system with a time varying delay
No full textThe focus of this paper revolves around the initial–boundary value problem associated with a logarithmic Lamé system within a bounded domain, and incorporating a time-varying delay. We demonstrate the system’s well-posedness through the application of semigroup theory. Subsequently, we establish the existence of global solutions by employing the well-depth method. Furthermore, we establish exponential decay of solutions under adequate constraints concerning the weight of the time-varying delay and the frictional damping
Assessment of data quality and validity of composite innovation indicators with a neutrosophic multi-criteria approach
No full textIn light of the emphasis on innovation as a driver of economic growth, new tools are needed to measure and compare national innovation systems. Improving methodological approaches to constructing composite innovation indicators also requires exploring issues related to aggregation, weighting, and reviewing the quality and validity of the data. This paper aims to support this debate by assessing the process and outcomes of innovation using fuzzy theory combined with a multicriteria technique to address the uncertainty attached to the underlying data used in constructing the composite indicator. Mainly, we deal with the problems related to the uniformity of the period covered by the indicator and the origin and reliability of the source of information by incorporating degrees of truth, indeterminacy, and falsity into the assessment process by applying neutrosophic numbers. To test the effectiveness of our approach, an empirical analysis is carried out based on the European Innovation Scoreboard and the assessment of the elementary criteria over the period 2020–2023
Economic instability and its effect on brand preferences: big data examination of self-image and online shopping conduct
No full textPurpose – This study will examine how consumer brand preference is impacted by economic instability in the market of e-commerce in Indonesia, the relationship between self-image and purchasing patterns under three different periods; pre-crisis (2017–2019), crisis (2020–2022), and post-crisis recovery (2022–2023).
Research methodology – Transactional variables (Total payment volume, average order value, and purchase frequency) were analyzed using the mixed-methods approach in three brand categories (global, local, unbranded) and two product subcategories (care, decorated). ANO- VA and T-tests were used as a quantitative analysis of one of the largest Indonesian e-commerce platforms. The methods of qualitative analysis included semi-structured interviews with 20 industry experts who were chosen while engaging in purposive sampling and analyzed based on thematic analysis, in order to understand the emergent themes and patterns.
Findings – The findings indicate that the preference of global brands declined throughout the period of crisis (Z-sales declined 1.84 to –0.002) whereas local brands rejuvenated through community-oriented messages. The balanced status and sense of practicality seen in the post-crisis consumption saw global brands partially recovering (Z-sales: 1.43) and status-related self-image shifted into the health-conscious and community-supportive groups.
Research limitations – The study has a limitation of studying the e-commerce market and beauty product of Indonesia and the generalization to other regions or products. Besides, the qualitative element is based on only 14 internal experts working in the e-commerce and beauty sectors, which is insufficient to reflect direct consumer experiences and motivation to behaviour. Although the managerial interpretations bring about strategic data, the findings on self-image and consumer psychology should be confirmed by conducting empirical research with customers.
Practical implications – The results illustrate the significance of matching message of the brand with changing consumer values and using big data to create personalized marketing plans.
Originality/Value – This study is the first one to synthesize big data analysis with the use of expertise to indicate how consumer self-perception and purchase behavior are redefined due to economic shocks in online markets
The spatial relationship between innovation capacity and housing affordability in Chinese cities
No full textWith China’s rapid urbanization, innovation capacity and housing affordability have become important factors affecting sustainable development. This paper aims to address this research gap by examining the spatial characteristics and correlation between the housing market and urban innovation capacity. With statistical analyses of the housing market and innovation indicators in China’s major cities, there are following findings. Firstly, it is found that there are obvious spatial characteristics between urban innovation ability and housing affordability. Housing supply has a significantly positive effect on urban innovation, particularly in central regions. Similarly, housing demand also positively impacts urban innovation. The impact of the housing supply-demand ratio on urban innovation exhibits regional variation. Secondly, the impact of housing affordability on urban innovation levels exhibits a nuanced pattern, resembling an inverted “U” shape, particularly pronounced in the eastern region. When the housing price-to-income ratio remains below a critical threshold, its growth positively contributes to enhancing urban innovation levels. Thirdly, an increase in the housing supply-demand ratio adversely affects urban innovation levels through a mediated pathway. The housing supply-demand ratio serves as a vital metric indicating the housing market’s stability