Journals Published by Vilnius Tech
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Effect of rolling texture on bearing capacity of aircraft repair patches and replaced panels
Get PDFThe article combines issues related to biaxial fatigue loading, corrections for equivalent stress calculations, and the practical application of new knowledge regarding biaxial fatigue in the aviation industry. It considers the possibility and expediency of taking into account the anisotropy of metals’ mechanical characteristics in aircraft repair procedures, such as patching and replacing damaged skin panels. The biaxial loading of the skin is shown to be a significant factor that should be considered in the aircraft skin repair process. It is shown that while well-known Huber-Mises formula works well for isotropic materials, the fuselage skin made of anisotropic alloys requires corrections to the Huber-Mises method. For aircraft parts subjected to biaxial loading, the assessment of equivalent uniaxial stresses can be done by introducing the crystallographic factor into the Huber-Mises formula. This is achieved by transforming the biaxial stress components of fuselage loading due to pressurization and bending into the resolved stresses in the activated crystallographic slip systems of the dominant texture
Investigating the Internet-of-Things (IoT) risks for supply chain management using q-rung orthopair fuzzy-SWARA-ARAS framework
Get PDFModern “Supply Chains (SCs)” have recently been introduced as value networks of high complexity, and firms have focused on its efficiency as an important support for staying competitive in the market. Firms are currently capable of observing, tracking, and monitoring their products, activities, and processes throughout their value chain networks using new technologies, namely the “Internet of Things (IoT)”. Though, the influencing factors of IoT are highly complex and diverse, which result in the information-intensiveness of the SCs processes. This, in turn, leads to lots of barriers to SCs. In this paper, we evaluate and rank the IoT risks for “Supply Chain Management (SCM)” by utilizing “Stepwise Weight Assessment Ratio Analysis (SWARA)” and “Additive Ratio Assessment (ARAS)” under “q-Rung Orthopair Fuzzy Sets (q-ROFSs)”. A case study is presented for investigating the IoT risks for SCM in the q-ROFSs setting. Moreover, the obtained results were compared to those of some methods currently used in the literature. The outcomes of the study show that the security and privacy risks with a weight value of 0.0572 is the main IoT risk factor for the SCM and the organization-I with the utility degree 0.8208 is the best option with diverse IoT risks for SCM.
First published online 25 April 202
Shifting priorities and expectations in the new world of work. Insights from millennials and generation Z
Get PDFIn the contemporary world of work and modern business, the well-being of a company is directly linked with the well-being of its employees, and in this context, the proactive promotion of work-life balance has become more important than ever because it meets the new ideal and is an ongoing challenge through the lens of the younger generation’s age groups. By unpacking worklife balance into five drivers, the present paper aims to explore the recent trends, priorities, and expectations of the modern workforce. The target population was represented by two generations of employees, Millennials and Generation Z, and the research hypotheses were tested using structural equation in SmartPLS. The results of this research aim to enhance the current knowledge base, offering a distinct perspective along with significant findings for employers, managers, recruiters, policymakers, and other nodes of control who can gain insights regarding work-related priorities and expectations
The consumers perceptions of employer and service brand equity’s: the exploratory and confirmatory factor analysis
Get PDFWhile the traditional components of employer brand equity are applied in the context of an organization’s employees, this study sought to assess a hitherto unexplored context – the extent to which employer brand equity impacts on consumers of an organization’s service brand rather than the target audience. The two research objectives were: 1) to identify the specific dimensions of both employer and perceived service brand equities 2) to assess the relationship between them and consumer behavioral intentions. The study was based on quantitative data of 526 respondents, using both Exploratory (EFA), Confirmatory factor analysis (CFA) and structural equation modelling (SEM). The findings confirmed the 3 (employer brand image, reputation, and awareness) and 4 (service brand image, perceived quality, service brand awareness, brand loyalty) factors of employer and service brand equities respectively. The study revealed the employer brand equity significant relationship with service brand equity, but the lack of direct effect on consumers’ behavioral intentions. The research is novel as it assesses the employer brand equity’s impact not only on the service brand’s overall perceived equity, but also on consumers’ behavioral intentions, by examining the impact on two different groups (existing and potential service brand consumers)
ESG actions, corporate discourse, and market assessment nexus: evidence from the oil and gas sector
Get PDFThis paper focuses on the oil and gas sector because of its direct exposure to the complete range of ESG challenges, as well as strong pressure to change business models due to the energy transition. We investigate the ESG scores of a sample of global companies in this sector and their relationship to stock market performance and to the ESG intensity of corporate reports. As an original contribution, we incorporate the intensity of corporate discourse on technology-related sustainability topics for the first time in the literature. Our findings reveal that investors examine both sustainability discourse and results when determining a company’s value and validate the role of ESG scores and rankings in providing investors with an accurate and meaningful assessment of companies’ sustainability actions. Moreover, companies’ disclosure of their sustainable actions and technological developments related to sustainability is positively related to stock returns. This implies that a focus on sustainable practices and constant communication with investors might result in higher market performance. Furthermore, encouraging companies, particularly those in sectors and industries sensitive to ESG factors, to invest in ESG initiatives, is accompanied by improved performance, which makes them more attractive and better positioned to attract financing
Transport risks in the supply chains – Post COVID-19 challenges
Get PDFThe COVID-19 pandemic has caused major disruptions in global supply chains with unforeseen and unpredictable consequences. However, the pandemic was not the only reason why supply chain risk management has become more crucial than ever before. In the last decade, the occurrence of previously merely theoretical risks has emphasised the importance of risk management in supply chains. This has increased interest in risk assessment and management, COVID-19 and other disaster impact studies and proposals for more stable and resilient supply chains. This article addresses the problem of transport risk in supply chains in the context of COVID-19. Particular attention is paid to quantitative approaches. Identifying and quantifying risks and modelling their interdependencies contribute to the stability of the supply chains. The analysis presents the current state of knowledge and can serve as a guide for further research. It highlights transport risk management in supply chain management as an important area of investigation. In light of the challenges of the COVID-19 pandemic, the article proposes an approach to transportation risk assessment based on quantitative assessment and interconnection of risk factors
The impact of digital transformation on entrepreneurial activity. Empirical evidence from the European Union
Get PDFThe paper explores the impact of digital transformation (DT) on new business creation in the case of European Union member states over the period 2015–2020 by employing several econometric techniques such as Ordinary Least Squares (OLS) and quantile regression (QR). The results of OLS regression indicate a positive and significant link between DT and entrepreneurial activity. However, the quantile regression results highlight a parameter heterogeneity in the effect of DT on entrepreneurial activity. Furthermore, the magnitude of the impact is greater at the higher size quantiles of the new business density distribution. Overall, the empirical findings highlight the key role of DT in developing public policies aimed to spur entrepreneurial activity. Thus, this paper brings significant contributions to the extant literature on the macro determinants of firm creation
Entrepreneurship and digitalisation in EU: twinning insights through a panel threshold regression
Get PDFThe study methodologically employs, in a novel perspective, the panel threshold analysis, considering the time frame 2006–2020, to capture the relationship between new business density rate, as a proxy for entrepreneurship, and individuals’ digital inclusion, as a proxy for digitalisation in EU countries. Based on the human capital theory, the results indicated a strong single threshold effect between individuals’ digital inclusion and new business creation, confirming that entrepreneurship is influenced by the skills, knowledge, and experience of the entrepreneurs, including their education, training, and work history. For EU countries, individuals’ digital inclusion boosts business creation only after reaching a certain level. When separating the EU countries from the perspective of their Innovation Index performance, the threshold effect was statistically evidenced in all categories but with different values. The strongest positive influence from digitalisation towards entrepreneurship was visible in emerging countries, while the lowest was for countries classified as moderate innovators. The research provides an original framework for understanding the complex factors that drive entrepreneurship and can help researchers and practitioners develop strategies for promoting entrepreneurial activity. Digitalisation’s opportunities are significant, and entrepreneurial individuals and organisations able to adapt and innovate are more likely to be successful
Unveiling the role of industries for European financial stability. Insights from the energy sector
Get PDFExtensive analysis of intertwinement with other industries caused the energy sector to gain momentum in the recent economic literature. This paper aims to create an indicator that captures the impact of financial stability for energy companies on all other industrial groups. To this end, we use daily data from 2007 until the end of 2021 to compute financial stability metrics for all European companies from the STOXX 600 index. The main contribution of our study is to harness the neural network forecasting power to predict extreme levels of this impact. We motivate this choice with evidence from the literature that documents the improved performance of these methods in predicting crises. Our methodological approach also employs an outlier detection algorithm based on copula (COPOD) to identify situations when the energy sector substantially impacts other industries and develop a framework to predict out-of-sample situations. We found evidence that the Deep Renewal model has superior forecasting accuracy to the standard Croston model. The main conclusion is that the design of this methodological framework allows authorities to monitor the impact of shocks produced by the energy sector on financial stability at the European level and undertake strategic management actions
Analyzing causality and cointegration of macroeconomics and energy-related factors of Nordic and SEE European countries
Get PDFDiscrepancies between several South-Eastern European (SEE) countries and Nordic countries are investigated in this paper using an econometric analysis. Its aim is to examine the relationship between CO2 emissions, GDP per capita, urban population (URB) and electricity production from Renewable Energy Sources (RES) – EPREN, excluding hydroelectric for the two groups of EU countries located in the North and S-E of Europe. The data covers a period from 1990 to 2022, providing a comprehensive view over three decades. The relationship between the four variables is determined by various causality and cointegration tests. We check the unit root tests and conclude that the analyzed time series are stationary at first difference. Further, we estimate two models: Fully Modified and Dynamic Ordinary Least Squares and study causality and cointegration between variables. The results show that CO2 emissions are impacted by GDP, URB and EPREN for both regions. Testing causality, for SEE and Nordic countries, the bidirectional and causalities do exist