Journals Published by Vilnius Tech
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Effects of the COVID-19 crisis on work-life balance, mental health, and perceived health status among Hungarian defense employees: a cross-sectional study
Get PDFThe COVID-19 pandemic impacted profoundly on the mental and physical health of defense personnel, due to their involvement in the enforcement of COVID-19 measures and confined work environments. This cross-sectional study assessed the effects of the pandemic on work-life balance, mental health, and perceived health status among Hungarian defense employees. Data was collected from 300 employees of a Hungarian defense company using an online questionnaire that included demographics, work-related observations, mental health scales (DASS), and perceived health status (SF-12). Data was analyzed using descriptive and inferential statistics. The results indicated that work type, flexibility, and workload remained stable before, during, and after the pandemic. Compensation satisfaction (p = 0.025) showed a slight increase post-COVID-19, while organizational support did not significantly change (p > 0.05). Work-life balance significantly decreased during the pandemic (p = 0.012), and the mental health indicators stress (p = 0.005), anxiety (p < 0.001), and depression (p < 0.001) increased significantly. Reliability analysis (Cronbach’s alpha) demonstrated good internal consistency across the scales. These findings underscore the significant negative impact of the COVID-19 pandemic on the mental health of defense employees, reinforcing the need for sustained support mechanisms to promote both physical and mental well-being in this workforce
The challenge of communicating corporate sustainability on website: the role of dialogic potential
Get PDFWith the growing social concern for corporate sustainability, organizations are under increasing pressure to communicate their sustainability efforts transparently and effectively. Websites, driven by their participatory nature, have emerged as pivotal platforms for such communication and a key relational tool. This study explores the role of website communication in fostering dialogic potential to facilitate two-way communication on sustainability issues. This research delves into the level of two-way communication of websites, which is determined by a suitable management of sustainability content and the presence of interactive features. Specifically, this study aims to identify boundaries in website design features that influence the effectiveness of sustainability communication. To this end, a novel measurement instrument, the Two-Step Index, has been designed to provide a comprehensive and in-depth assessment of the dialogic potential of websites. Few studies have explored the dialogic potential of websites for sustainability communication highlighting the need to uncover limitations and gaps in current practices. The findings reveal a low level of dialogic potential in corporate sustainability communication on the sampled websites, with a stronger emphasis on content management than on interactivity. Based on these results, practical insights are provided, along with specific actions to facilitate the implementation of dialogic strategies on websites
Diagnosis, management, and treatment of a heritage-built environment in South Chile
Get PDFIn Chile, photography arrived at the end of the 19th century together with the establishment of settlements of migrants from central Europe to southern Chile. The aims of this study are: (i) contextualise functional states of existing buildings in a specific sector of the historic Valdivia city centre; (ii) determine the state of conservation of the 42 cases under study; (iii) conduct qualitative and quantitative analyses of the main pathologies presented in the sample; (iv) perform an analysis focused on the urban context according to façade alignment, façade visibility index, and ratio of height versus street width; and (v) comparatively analyse the results achieved. This research reflects the importance of developing innovative procedures and mitigation strategies focused on preventive maintenance actions and future control systems that can maximise the resilience of a specific local context (Los Ríos region) and its surroundings. This study revealed that the number of pathologies detected was directly proportional to the state of conservation of the cases, classified by the functional service life model. Properties in Condition C were mainly affected by pathologies of a structural nature, which indicates that their functionality is not guaranteed, and a deeper inspection is needed for conservation and preservation actions.
First published online 12 December 202
Exploring the impact of digital twin technology in infrastructure management: a comprehensive review
Get PDFThis paper examines the role of Digital Twin Technology (DTT) in transforming infrastructure management, with a focus on sustainability. It highlights how advancements in Artificial Intelligence (AI), Building Information Modeling (BIM), and the Internet of Things (IoT) are driving the effectiveness of Digital Twins in real-world applications. Through detailed case studies, the paper showcases the practical benefits of DTT across various infrastructure sectors. It also evaluates current trends and strategies for enhancing DTT integration into infrastructure systems. The research reveals a striking 80% increase in DTT-related publications from 2019 to 2024, with Asia, particularly China, leading in contributions. The paper concludes by addressing the future potential, challenges, and risks of DTT, offering valuable insights for stakeholders aiming to optimize infrastructure management in the digital era
Methodology for assessing and controlling the risk grade of structural columns threatened by blast incident
Get PDFColumns are important structural components and are threatened by local conflicts and explosion accidents. This paper presents a fuzzy-based risk assessment framework to evaluate the potential blast disasters associated with structural columns. The framework establishes an indicator system and incorporates risk functions and a fuzzy transformation system for blast risk assessment. The priority weights of critical attributes are determined using a fuzzy analytic hierarchy process (FAHP) approach, and the risk factor (RF) is calculated via the aggregation of foundational fuzzy evaluations. The feasibility and applicability of the framework are demonstrated through the risk level assessment of five example columns. The framework’s rationality is further validated by comparing the onrisk grades of identical cases, as assessed by the proposed framework and alternative methods. The study results indicated that the framework can effectively discern the risk range of desired grade rankings and ascertain the risk grade. By integrating the obtained attribute ranking and hierarchical structure, the framework facilitates the identification of potent strategies for controlling blast risk. The resulting risk-grade findings serve as a foundation for the identification of priority protection and anti-explosion design of structural columns
Enhancing construction safety management through multivariable grey model analysis and variable selection optimization
Get PDFIn this study, a multivariable grey model (GM(1, N)) is employed to explore how different combinations of variables impact the accuracy of construction accident prediction, using a full permutation algorithm. The aim is to optimize variable selection and improve prediction accuracy. By conducting an exhaustive analysis of 511 potential combinations involving nine variables, it was observed that by integrating crucial external variables such as macroeconomic indicators and industry scale, the multivariable model achieved a prediction accuracy error rate of less than 0.5%, thereby significantly enhancing its information capture and forecasting precision. The analysis suggests that optimal predictive performance is achieved when the number of control variables is approximately four. Additionally, further research shows that increasing the dataset size significantly enhances the model’s predictive capability. This study highlights the scientific rigor and precision of decisionmaking in preventing construction accidents and provides empirical evidence for construction safety management. The research in this paper not only enriches the connotation of the grey system prediction model theoretically, but also provides a data-driven decision support tool for urban construction and safety accident prevention in practice
TFP shocks and endogenous innovation ability in manufacturing industry: from the perspective of structural stickiness
Get PDFThis paper identifies the systemic shocks of total factor productivity (TFP) at the macro level and industry level, and then evaluates the structural stickiness of TFP shocks by using information entropy and industry correlation degree through counterfactual structural simulation based on China’s manufacturing companies. We find that: in the face of TFP systemic shocks, the industries with less structural stickiness include computer communication and other electronic equipment manufacturing, special equipment manufacturing and general equipment manufacturing, indicating that these industries have a strong internal innovation power. The TFP distribution of electrical machinery and equipment manufacturing industry and ferrous metal smelting and rolling industry showed structural differentiation, and the lower tail enterprises are not sensitive to TFP shocks. The industries with strong structural stickiness are non-ferrous metal processing industry and non-metallic mineral products industry, etc., which have weak internal innovation power and need exogenous innovation incentives. In addition, there is a significant positive correlation between industry correlation and information entropy, which emphasizes the radiation effect role of industries with high industry correlation degree. The research provides a new method to evaluate the innovation ability of the industry and a basis for the differentiation of innovation incentive policies in the industry.
First published online 15 November 202
Adaptive strategies and sustainable investments: navigating organizations through a VUCA environment in and after COVID-19
Get PDFThis study delves into the resilience and adaptability of employees within the volatile, uncertain, complex, and ambiguous (VUCA) business environment, examining their readiness to manage effectively and the organizational agility in navigating change, alongside the impact of sustainable investment practices. Employing quantitative methods, a survey was conducted among employees at two pivotal moments: during and after the COVID-19 pandemic restrictions. Factorial analysis revealed a strong preference for participatory work styles and highlighted the critical need for employee involvement in significant decision-making processes. Although the value of sustainable investments was recognized, a noticeable gap was found in employees’ understanding and adaptability towards these investments. The use of the Wilcoxon test illuminated the significant impact of external disruptions, such as the pandemic, on organizational operations and preparedness. The findings underscore the imperative for organizations to champion continuous learning and training, enabling strategic and innovative responses to the challenges unique to the VUCA world. By aligning adaptive interventions with the demands of the VUCA environment, organizations can define a clear trajectory towards sustainable growth and enhance their proactive stance against sudden shifts in the business landscape.
First published online 10 September 202
Is it inverted U? Testing relationships between debt and growth: new evidence from smooth transition kink regression
Get PDFThis study examines the inverted U-shaped relationship between public debt and economic growth rates in 44 countries, covering developed, developing, and underdeveloped economies, using data from 1970 to 2020. Unlike previous studies, which often use quadratic regression, threshold, and kink regression models that may not accurately capture the true relationship, we employ the smooth transition kink regression model for this analysis. Our results show that an inverted U-shaped relationship exists in 8 out of the 44 countries studied. The turning point of this relationship, where debt levels shift from beneficial to detrimental, ranges from 23.817% to 96.674%, highlighting the variance in optimal debt levels across different countries. These findings confirm the presence of the inverted U-shaped relationship but reject the notion of a universal turning point applicable to all countries.
First published online 17 March 202
Earnings management among industries: between the old and new economies
Get PDFThis paper investigates sectoral prevalence and patterns of accrual-based earnings management in public companies listed on the Warsaw Stock Exchange. This research introduces a novel perspective by analysing differences in discretionary accruals proxies among industries, with particular emphasis on statistical variation of the earnings management through accruals in the old and new economies companies. Moreover, this paper fills a research gap in the literature regarding a shortfall of broader analyses on the industry-specific attributes explaining earnings management behaviours.Our findings confirmed that the extent of accrual-based earnings management in public companies varies significantly depending on the industry in which they operate. We demonstrated that companies from the new economy industries and those operating in less concentrated markets engaged in accrual-based earnings management practices more than others. On the other hand, we did not find a statistically significant relationship between the accounting-type earnings management and company-specific product market power from the perspective of the pooled sample and subsamples characterized by the specific directions of earnings games