Conference Proceedings Citation Index - Science (Web of Science)

The research is dedicated to the current conditions of globalization and technological progress in the development of logistics activities of corporate enterprises, which is becoming increasingly important. The main purpose of the research paper is to determine areas of integration development of logistics based on the introduction of intelligent systems and management technologies. It should be noted that the use of modern logistics management to manage logistics processes can save logistics costs equivalent to 1% and increase sales by 10%. Logistics is one of the most dynamic and significant sectors in the EU economy, accounting for approximately 10% of GDP. The article analyzes current trends in logistics, in particular, artificial intelligence and process automation, as well as their impact on the efficiency of corporate enterprises. It is determined that advanced technologies, such as artificial intelligence, machine learning, the Internet of Things (IoT) and big data, can reduce logistics costs by up to 30%, while AI can increase the efficiency of logistics processes by up to 50%. The article examines the increase in the competitiveness of corporate enterprises by optimizing logistics processes, reducing costs, improving the quality of customer service and making efficient managerial decisions.

The article analyzed how cross-disciplinary cooperation can ensure digital resilience. This cooperation should deliver toolsets for government, business, and citizens. Under consideration are telecoms, information and communication technology (ICT), internet infrastructure, and data centers. The subject is to find standards and best practices to amplify digital resilience. The system approach is the methodology using public domain sources, secondary data, and quantitative and qualitative observations. The author considers (i) specific key performance indicators (KPI) aligned with the EU Digital Compass and other regulations, (ii) environmental, social, and governance (ESG) practice, and (iii) business continuity metrics. Pertinent stakeholders can see holistic and in-depth data on their dashboards. The key findings demonstrate that cross-disciplinary cooperation is mandatory for a sustainable and resilient existence and has specific methods, metrics, and organizational forms. The central and regional government, businesses, and citizens can cover the digital resilience gaps based on transversal cross-disciplinary strategies, plans, and executions. It may have many organizational forms, particularly as a Platform. Such complex cooperation and toolsets allow stakeholders to reach digital resilience during poly-crises and disruption.

This research focuses on a comparative analysіs of the legislation оn the prоtеctіon оf pеrsonаl data in the fiеld of еlеctronic commerce betwееn thе Baltic States (Lіthuania, Latvia, Estonia) and Ukraіne. Wіth the rapid growth of е-commerce and the increasе in the collеctіon, processing and use of personal dаta, it is important to assess the legal framework in place to ensure the privacy and security of persons’ іnformation. Therefore, given such factors as the steady increase in the number of digital services, electronic applications and online stores, the cross-border nature of e-commerce and the significant deepening of cooperation between Ukraine and the Baltic States, with a focus on strengthening trade and diplomatic relations, it is important to analyze the level of personal data protection in the field of e-commerce in the Baltic States and Ukraine. Thrоugh a comparative analysis of legislation in these regions, this study aims tо identify differences and similarities, weaknesses and strengths, potential areas for improvement іn data protection legislation. The conclusion will contributе to a comprehensive vision of the legal basis and provide knowl- edge on improving data protection measures in e-commerce. This article may be of interеst to various stakeholders. For example, for researchers, who are studying data protection and e-commerce, lawyеrs specializing in e-commerce and private law, companies in e-commerce sector, particularly those with crоss-border transactions and electronic agreements in the Baltic States and Ukraine, legislators involved in the process of regulating the protection of personal data and persons, who take care about the security of their personal data during online shoрріng and electronic transactions.

The fourth period of the European Union (EU) Common Agricultural Policy (CAP) is currently being implemented since Lithuania’s accession to the EU. All these periods have features, objectives, priorities that are unique to themselves, and their formation, maintenance and modification took place each time for different reasons, the analysis of which is significant, in order to identify the problematic places in the evolution of the EU’s agricultural and rural development policy. The targeted and effective implementation of the CAP depends on proper analysis, preparedness, planning, engagement and a vision and foresight for the future. The article aims to identify the reasons for the changes that influenced the strategic planning of the CAP, why the objectives of the programming periods were not achieved, what planning challenges were faced, how much and how member states were involved in the preparation and planning of programming periods.

This paper provides a comprehensive overview of the cyber landscape in Belarus, with a focus on the Belarus government's use of cyber activities from an offensive and defensive context, the emergence of opposition cyber activities, and the broader implications for cybersecurity and legal compliance. In the course of the research, researchers try to assess Belarus as a source of cyber-threats, both domestically and to neighbouring states (especially those supporting Ukraine). The first section of the paper outlines the Belarusian government's engagement in cybercrimes against its citizens, especially under President Lukashenko's regime, highlighting extensive online surveillance, repression, and the escalation of these activities following the 2020 presidential elections. In this political context, Belarus is also examined as a country initiating and/or contributing to Information Warfare activities, which are mainly directed at western countries. The second section of the paper delves into Belarus's cybersecurity legal framework, examining various national strategies and concepts, the absence of a formal cybersecurity strategy, and the focus on 'information security' as part of national security. The third section presents case studies of cyber activities in Belarus, contrasting government-backed hacking efforts with those of opposition groups like the Belarus Cyber Partisans. It explores the Partisans' attacks on state infrastructure and information leaks as a form of protest against the government, and the pro-government hackers' disinformation / information campaigns website defacements, and data breaches, particularly targeting Ukraine. This section highlights the evolving nature of cyber conflict in Belarus, where both government and opposition forces use cyber tools for political ends, reflecting broader geopolitical tensions in the region. This part of the report compares the Belarusian pro-government hacktivist and Cyber Partisans groups, their activities and manifestations within the country (inside), as well as the cyber threats they pose to foreign countries. The article attempts to answer the question of what kind of threat Belarus as a country poses in the context of cybersecurity, hybrid-cyber threats. This country is often included in Russian hybrid-cyber threats strategies, Belarus entities also work with Russian and sometimes Chinese groups in undertaking cyber activities against other countries.

This study delves into the critical intersection of artificial intelligence (AI) and women’s representation in advertising, focusing on its impact on gender identity formation. AI has become a powerful tool in the marketing world, enabling advanced image manipulation and content creation in ads. The research investigates how AI imagery affects prevailing beauty norms and gender stereotypes, influencing societal views of women. It examines the ethical aspects of AI-driven personalization in marketing and its effect on consumer perceptions, particularly in Lithuania. The study also explores AI’s potential to foster diversity and inclusion by depicting women from various backgrounds, body types, and abilities. Ethical considerations and responsibilities associated with AI’s influence on women’s portrayal in advertising are emphasized, echoing the views of other marketing experts. This research highlights AI’s transformative role in shaping gender identities in advertising, offering important insights for marketing professionals, advertisers, and academics. It encourages the responsible use of AI to improve women’s representation in advertising.

In this paper, we provide an overview of current technologies for cross-lingual link discovery, and we discuss challenges, experiences and prospects of their application to under-resourced languages. We first introduce the goals of cross-lingual linking and associated technologies, and in particular, the role that the Linked Data paradigm (Bizer et al., 2011) applied to language data can play in this context. We define under-resourced languages with a specific focus on languages actively used on the internet, i.e., languages with a digitally versatile speaker community, but limited support in terms of language technology. We argue that languages for which considerable amounts of textual data and (at least) a bilingual word list are available, techniques for cross-lingual linking can be readily applied, and that these enable the implementation of downstream applications for under-resourced languages via the localisation and adaptation of existing technologies and resources.

Safety-critical Cyber-Physical Systems, such as high-tech cars, require new risk management approaches to investigate and address their cybersecurity risks. The current standard for automotive security ISO/SAE 21434 presents such a framework, which discusses the threats, the associated risk, and the chosen treatment, which can be risk reduction through the implementation of a countermeasure or defense. This paper presents a residual cybersecurity risk management framework aligned with the ISO/SAE 21434 framework. The proposed approach audits the applied defenses over the generated attack paths for the identified threats and associated system components. Flow networks are used to calculate the reduced or mitigated risk and the remaining risk of the threat in the presence of the selected countermeasure. The feasibility of the method is explained using a simple automotive system example.

The aim of this study was to compare the morphological complexity in a corpus representing the language production of younger and older children across different languages. The language samples were taken from the Frog Story subcorpus of the CHILDES corpora, which comprises oral narratives collected by various researchers between 1990 and 2005. We extracted narratives by typically developing, monolingual, middle-class children. Additionally, samples of Lithuanian language, collected according to the same principles, were added. The corpus comprises 249 narratives evenly distributed across eight languages: Croatian, English, French, German, Italian, Lithuanian, Russian and Spanish. Two subcorpora were formed for each language: a younger children corpus and an older children corpus. Four measures of morphological complexity were calculated for each subcorpus: Bane, Kolmogorov, Word entropy and Relative entropy of word structure. The results showed that younger children corpora had lower morphological complexity than older children corpora for all four measures for Spanish and Russian. Reversed results were obtained for English and French, and the results for the remaining four languages showed variation. Relative entropy of word structure proved to be indicative of age differences. Word entropy and relative entropy of word structure show potential to demonstrate typological differences.