Analysis of the Business Model and Data Infrastructure for the Digital Processing of Academic Books: A Case Study of Study Buddy

This Master’s thesis focuses on the analysis of the business model and data infrastructure of Study Buddy – an AI assistant designed to support university-level learning. The objective of the thesis is to propose a sustainable and technologically feasible model for the distribution of academic books using artificial intelligence, taking into account both student needs and publisher requirements. The theoretical part outlines current trends in the use of AI in education, various approaches to digital literature distribution, and the business models currently available on the market. The practical part includes the design of the Study Buddy system architecture based on the Microsoft Azure platform, an analysis of user preferences through a questionnaire survey, and a comparison of competing AI tools. The thesis also presents a business model proposal that combines the freemium approach with time-limited book rentals. The outcome of the thesis is a technologically and economically viable solution that effectively connects the interests of students and publishers. By combining Microsoft Azure-based architecture, data analytics, and user feedback, the proposed concept has the potential to significantly contribute to the modernization of academic book distribution in higher education.