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MANAGING THE WORK DYNAMICS OF LOCAL AND INTERNATIONAL STAFF WITHIN REPRESENTATIONS OF INTERNATIONAL ORGANIZATIONS IN UKRAINE
(Manuscript, 2026) Yermak, Yakym
This research investigates the status of Human Resource Management (HRM) practices in international organizations in Ukraine. The focus of this research is HRM differences toward expatriates and host country nationals (HCNs), and the impact of cultural trainings/onboarding on the collaboration of both groups.
The study is built on Elton Mayo's Human Relations theory, and Configurational theory by John E. Delery and D. Harold Doty. These theories proclaim that strong interpersonal connections and synchronized HRM practices toward the staff lead to a high level of effectiveness for the whole organization.
The data for this research was gathered through the open survey, where 46 expatriates and HCNs left their feedback on the status of HRM practices in their organizations. Participants presented organizations working in various fields: defense sector, culture, education, embassies, and others.
The key findings of the research indicate differing perceptions of HRM practices and their impacts between HCNs and expatriates. HCNs report that HR differences influence negatively their perception of equality in the organization and basic work processes. More than half of the expatriates
don't see these correlations. From the training side, it was identified, that cultural onboarding is a necessary step for strengthening working practices between HCNs and expatriates. These results contribute to the existing HR academic literature and deepen knowledge in the field of local and international staff cooperation in international organizations.
TEAM RESILIENCE DEVELOPMENT IN BUSINESS ORGANIZATIONS: WARTIME OPERATIONS EXPERIENCE
(Manuscript, 2026) Korol, Andrii
This research studies team resilience as a core component of organizational resilience in the context of extreme and prolonged crisis. Organizational resilience is understood as a dynamic capability that give ablity for organizations to anticipate, overcome, adapt to, and transform internal processes in order to sustain survival, consistency and growth under conditions of uncertainty, volatility, and disruption. While existing literature identifies multiple interrelated components of organizational resilience such as leadership, strategy, operations, finance, culture, learning, and networks, this study focuses specifically on team resilience as a critical, underestimated launching mechanism.
The objective of the research is to analyse how managerial decisions and leadership practices influenced the development of team resilience in Ukrainian organizations during the full-scale war in Ukraine. The study explores how teams were stabilized, coordinated, motivated, and adapted under conditions of high uncertainty, time pressure, and emotional deformation, and how these processes contributed to develop organizational resilience.
The findings disclosed team resilience during crisis emerges not as a single practice, but as a configuration of interdependent managerial mechanisms. Leadership presence and sensemaking, rapid and reversible decision-making, intensified, transparent and fair communication, redistribution of responsibility, and meaning-based motivation were identified as primary resilience enablers during the initial shock phase.
At the same time, the study highlights several crucial structural blind spots, including over-reliance on leadership centrality, delayed formalization of learning, communication saturation, unarticulated emotional labour, and uneven distribution of resilience capacity across organizational levels.
Based on these insights, the research proposes a multi-stage framework for strengthening team resilience as an integral part of organizational resilience. The framework combines immediate crisis-response practices with longer-term institutionalization mechanisms and provides actionable recommendations for organizations operating not only in wartime or crisis contexts, but also in environments characterized by continuous instability.
AI-Driven Digital Concept Maps in Learning Environments: Empirical Insights from Student Use
(2025-12-16) Tytenko, Sergiy; Papkovych, Yehor; Zhak, Mariia; Shkelebei, Sofiia; Vasyliev, Oleksandr
This study explores the integration of AI-powered, ontology-based interactive concept maps into a university programming course to support student learning and includes a comparison of these maps with AI-generated instructional text materials. As part of the “SDT 100: Principles of Programming with Java” course at American University Kyiv, foundational instructional materials were generated using GPT-4o and formalized into an ontology via the Semantic Portal platform. The platform then automatically generated interactive concept maps, with each node linked to structured concept descriptions. These maps were used alongside AI-powered text lectures, providing students with an alternative to linear instructional content. To assess pedagogical relevance, students were asked to provide qualitative feedback on the perceived usefulness of the concept maps. The findings suggest that such maps are particularly effective for content review and understanding conceptual relationships, serving as a valuable complement to traditional text-based materials. The study provides empirical evidence on the instructional potential of AI-powered, ontology based concept maps and outlines future directions for enhancing their automated generation using large language models.
CUSTOMIZABLE LLM-BASED QUIZ GENERATION SYSTEM FOR PROGRAMMING COURSES WITH AN INTERACTIVE ADMIN PANEL
(Manuscript, 2025-01-23) Korzh, Mykhailo
This paper investigates the design and implementation of an intelligent e-learning system called AUK Quiz Generator that uses large language models (LLM) to automate the creation and delivery of tests in programming education.
The thesis provides an overview of the relevant theoretical background, existing solutions, and approaches to solving quiz generation problems. The study also presents the rationale for the chosen approach and a detailed architecture of the AUK Quiz Generator.
In modern education, interoperability with e-learning platforms is critical, with an emphasis on responsive design to ensure high-quality question and answer generation.
A GOVERNMENT CONSULTATION INFORMATION PLATFORM OF DIGITAL DEMOCRACY
(Manuscript, 2025-01-23) Lobur, Denys
The project, "A Government Consultation Information Platform of Digital Democracy," aims to provide an accessible platform for citizens to engage in democratic processes by reviewing, understanding, and providing feedback on proposed laws. This platform will integrate AI-based bill summarization, voting functionalities, notifications, and analytics to streamline citizen input and governmental response.