AUK Digital Repository
American University Kyiv electronic data repository, also called an e-archive or centralized data repository
Recent Submissions
IMPROVEMENT OF FOOD SAFETY MANAGEMENT SYSTEM FOR THE UKRAINIAN MANUFACTURER: A CASE STUDY OF MEETING THE REQUIREMENTS OF THE ISO 22000 STANDARD AT LLC 'SMACHNI TRADYZII’
(Manuscript, 2025) Pasichnyk, Yuliya
Ensuring food safety is critical to the food industry, as it directly impacts public health, brand reputation, and regulatory compliance. This capstone project explores the importance of implementing Food Safety Management Systems (FSMS) in food companies, focusing on how these systems enhance operational efficiency and reduce risks associated with foodborne illnesses.
The project aims to enhance the operational efficiency, compliance, and sustainability of the company LLC 'SMACHNI TRADYZII’ by developing and implementing a modernized food safety management system. The project seeks to address current challenges in streamlining processes and align
them with international and state standards to promote continual improvement and stakeholder satisfaction and avoid extra losses in terms of recalls, loss of reputation, and other expenses.
The object of the research is the operational processes, frameworks, and compliance strategies employed by the company LLC 'SMACHNI TRADYZII’ in the sphere of food safety. This includes analyzing how these entities implement ISO standards and enhance their effectiveness to meet organizational objectives and stakeholder expectations.
The study evaluates global standards, such as ISO 22000 and HACCP, highlighting their role in identifying, preventing, and managing hazards throughout the food supply chain. By integrating FSMS, food companies can ensure consistent compliance with legal requirements, improve consumer trust, and gain a competitive edge in the market.
Through case studies and data analysis, this project underscores the financial and ethical implications of neglecting food safety and provides practical recommendations for successful FSMS implementation. The main outcomes include recommendations for improving the food safety system,
including the implementation of new equipment based on cost-benefit analysis (CBA). The findings emphasize that adopting robust food safety practices is not only a regulatory necessity but also a strategic investment in long-term sustainability and market growth.
ANALYZING THE IMPACT OF AI ON THE DECISION-MAKING PROCESS IN MODERN MILITARY OPERATIONS IN THE KILL CHAIN FRAMEWORK
(Manuscript, 2025) Osaulenko, Volodymyr
This capstone project explores the transformative impact of artificial intelligence (AI) on decision-making processes within modern military operations, focusing on its integration into the Kill Chain framework. The research investigates key questions regarding the optimization of decision cycles and the role of AI in enhancing operational effectiveness. Participants in this study include an array of real-world applications, including unmanned aerial vehicles (UAVs) and AI-augmented weaponry.
Through qualitative analysis and case studies, this research examines how AI technologies, such as machine learning and neural networks, can automate critical stages of the Kill Chain—detection, tracking, targeting, engagement, and assessment. The findings demonstrate that AI significantly shortens decision-making timelines, enhances precision in engagements, and ensures adaptability under complex battlefield conditions. A practical scenario featuring autonomous drone swarms illustrates these advantages, emphasizing resilience against electronic warfare and the ability to operate independently of human oversight.
The results underscore the dual nature of AI in military contexts: while it offers unparalleled efficiency and operational gains, it also raises critical challenges related to accountability, ethical compliance, and legal frameworks. This research concludes with recommendations for developing transparent oversight mechanisms and fostering international cooperation to govern AI integration responsibly.
IMPROVING OPERATIONAL EFFICIENCY THROUGH THE INTEGRATION OF AI IN OPERATIONS MANAGEMENT IN HEALTH CARE (WITH FOCUS ON REPRODUCTIVE MEDICINE)
(Manuscript, 2025) Mazepa, Ostap
This research aims to explore the possibility of artificial intelligence in implementing operations management in reproductive health and increasing patient efficacy. To achieve this, the following objectives are proposed: determine how AI technologies can help clinics manage patient traffic and workload, as well as document and analyze treatment outcomes of reproductive medicine clinics. Employing synthetic data from twenty different clinics located in Europe, the United States, Ukraine, and Australia containing more than 534,379 documents and questionnaires filled in by one thousand employees, the study obtained both a detailed account of the current practices and an evaluation of the effects of applied AI- interventions.
The object of this research is the management practices and operational frameworks within reproductive health clinics, with a particular focus on the integration of artificial intelligence (AI) into operations management.
Quantitative and qualitative data were analyzed using descriptive statistics, comparative, qualitative content, and cost-benefit analyses. The quantitative and qualitative data were reasonably analyzed using Microsoft Azure Machine Learning, Google AI Platform, and IBM Watson NLP TOOLS. The outcome shows that it offers considerable time and cost reduction, increased patient satisfaction for all clinics, and other operational advantages. For instance, overarching task optimizations using AI technology decreased documentation time by 20%, patient wait time by 19.67%, and enhanced treatment effectiveness by 10%. These outcomes lead to annual cost savings of over $360,000 per clinic, patient retention, and increased clinic capacity.
The insights thus highlight the prospects of AI in reproductive medicine and specific ideas on deploying technology in healthcare companies. The proposed AI capabilities will enable the clinics to demonstrate sustainable development of clinics, which will lead to an increase in the quality of services offered to the patient and an improvement in clinics’ competitive advantage in the healthcare market. Future work should extend the potential of these proposed strategies to other medical specialties to validate the effectiveness of AI implementation.
ЖІНКИ У ВІЙНІ: МОТИВАЦІЇ ЗАЛИШАТИСЯ ТА ПРИЧИНИ ВИЇЖДЖАТИ. (Аналітична записка).
(2025-03-28) Вахітов, Володимир; Вахітова, Ганна; Заїка, Наталія; Вишлінський, Гліб
Це дослідження проведене за підтримки Уряду Великої Британії, наданої через Міністерство закордонних справ і міжнародного розвитку Великої Британії, в межах проєкту «Підтримка Уряду України у розробці та впровадженні доказових (evidence-based) політик для подолання демографічних викликів», що реалізується UNFPA, Фондом ООН у галузі народонаселення в Україні.
ЩО МОТИВУЄ УКРАЇНЦІВ ЗАЛИШАТИСЯ В УКРАЇНІ? Презентація результатів дослідження.
(2025-03-28) Вахітов, Володимир; Вахітова, Ганна; Заїка, Наталія
У дослідженні розкрито причини, через які українці повертаються додому під активних воєнних дій.