https://repository.hneu.edu.ua/handle/123456789/99 Thu, 10 Sep 2026 23:05:55 GMT 2026-09-10T23:05:55Z https://repository.hneu.edu.ua/handle/123456789/41730 Назва: Маркетинг промислового підприємства. Методичні рекомендації до виконання курсової роботи для здобувачів вищої освіти спеціальності D5 «Маркетинг» освітньої програми «Маркетинг» першого (бакалаврського) рівня Автори: Шиян Д. В. Короткий огляд (реферат): Розглянуто порядок написання, оформлення та захисту курсової роботи з навчальної дисципліни. Наведено орієнтовний перелік тем, пропонованих до розгляду, вимоги до структури, обсягу, змісту й оформлення курсової роботи, а також приклади оформлення її основних структурних елементів. Рекомендовано для здобувачів вищої освіти спеціальності D5 «Маркетинг» освітньої програми «Маркетинг» першого (бакалаврського) рівня. Thu, 01 Jan 2026 00:00:00 GMT https://repository.hneu.edu.ua/handle/123456789/41730 2026-01-01T00:00:00Z https://repository.hneu.edu.ua/handle/123456789/41690 Назва: Waves of Disinformation in the Hybrid Russian-Ukrainian War Автори: Krainikova T.; Prokopenko S. Короткий огляд (реферат): This article presents research results into waves of disinformation — massive torrents of false information directed at various audiences during the Russian-Ukrainian war in May — July 2022, intending to elicit specific communication effects (manipulation, misleading, intimidation, demoralization, etc.). It was found that waves of disinformation are characterized by narrative and intensity. Based on the Telegram statistics of the “Perevirka” bot (“Check”) developed by the Gwara Media organization, we formed a sample of the most resonant messages (298 units), which were subject to informal (traditional) document analysis, as well as classification, narrative, and comparative analysis. We identified 24 primary waves of disinformation, among which the most powerful were the following: 1) “The Armed Forces of Ukraine and those who back them are criminals”; 2) “Ukraine will lose the war”; 3) “The West does not need Ukraine as a state”; 4) “Ukraine is a country of chaos and extremists.” The recorded waves testify to the aggressiveness and multi-directionality of Russian rhetoric, which encourages the development of a productive system of information countermeasures in Ukraine and the world and the development of media literacy among the population. Based on the analysis of waves of Russian disinformation, we provided recommendations for the audience on dealing with actual and potential propaganda messages. Sun, 01 Jan 2023 00:00:00 GMT https://repository.hneu.edu.ua/handle/123456789/41690 2023-01-01T00:00:00Z https://repository.hneu.edu.ua/handle/123456789/41689 Назва: Building Digital Resilience in Major Shocks: How Ukrainian Organizations Enact Digital Transformation in Times of War Автори: Lindström N.; Razmerita L.; Prokopenko S.; Popovich N. Короткий огляд (реферат): Limited IS research is available on digital transformation (DT) and digital resilience in major shocks. Drawing on Boh et al. (2023) digital resilience framework and using the case of Ukrainian organizations operating during the war, we explore how DT is enacted to build digital resilience. Analysis of 40 interviews with the Ukrainian managers shows that DT unfolds emergently to ensure organizational survival, involving the integration of social media and messaging in work practices to ensure continuous contact, morale support, and decision-making. Re-adapting remote work practices from the pandemic, handling infrastructure damages, enhancing cybersecurity protection, and developing new online services to reach out to customers are key strategies that contributed to building digital resilience. Further, volunteering and donating to the army contribute to community feelings, pivotal for building resilience in war. The study provides suggestions for extending the digital resilience framework and offers insights for managing organizations in times of major shocks. Mon, 01 Jan 2024 00:00:00 GMT https://repository.hneu.edu.ua/handle/123456789/41689 2024-01-01T00:00:00Z https://repository.hneu.edu.ua/handle/123456789/41688 Назва: AI-agent-based system for fact-checking support using large language models Автори: Kupershtein L.; Zalepa O.; Sorokolit V.; Prokopenko S. Короткий огляд (реферат): In today’s world, the problem of disinformation is becoming increasingly relevant due to the speed of information dissemination and the influence of social media. This article examines the impact of fake news on society and its political, economic and social consequences. Special attention is paid to the use of large language models (LLMs) to automate the fact-checking process. Describes the capabilities of LLMs in verifying information, including text analysis, comparison with reliable sources, and contextualization. At the same time, the risks of using LLMs to create fake news are highlighted. Proposes an architecture of an AI-based disinformation detection tool, which includes query processing modules, a database, work with web resources, and results analytics. This approach is aimed at improving the efficiency and accuracy of information verification. Mon, 01 Jan 2024 00:00:00 GMT https://repository.hneu.edu.ua/handle/123456789/41688 2024-01-01T00:00:00Z