Studies > Smart-economy

Smart-economy

Тип: На вибір студента

Кафедра: department of digital economics and business analytics

Навчальний план

СеместрКредитиЗвітність
113Іспит

Лекції

СеместрК-сть годинЛекторГрупа(и)
1116доцент Oleh Yarema

Лабораторні

СеместрК-сть годинГрупаВикладач(і)
1124доцент Oleh Yarema

Опис курсу

The course “Smart Economy” is aimed at developing a systemic understanding of the digital transformation of the economy and the implementation of intelligent technologies in business processes, public administration, and global economic systems.

The course covers the integration of AI, IoT, Blockchain, Big Data, FinTech, smart sustainable development technologies, and VR/AR into modern economic models. Special attention is paid to the economic impact of smart solutions, digital decentralization, and emerging business models.

Course Objective

The objective of the course is to develop students’ systemic vision of the Smart Economy as a new stage in the evolution of the digital economy, as well as to enhance skills in analyzing, modeling, and implementing smart technologies across various sectors of the economy.

Course Goals

  • To explore the concept of the Smart Economy and its components;
  • To analyze the role of AI, IoT, and Blockchain in shaping new economic models;
  • To study the economic impact of Big Data analytics;
  • To examine the influence of FinTech on financial systems;
  • To assess the role of smart technologies in sustainable development;
  • To develop practical skills in analyzing digital case studies.

Integral Competence

IC1 – Ability to solve complex economic and managerial tasks related to the analysis, design, and implementation of digital transformation models of economic systems at national, regional, and corporate levels under conditions of technological change, global competition, and digital risks.

General Competencies

GC2 – Ability to conduct systemic analysis of socio-economic processes in the context of digital transformation.

GC3 – Ability to act responsibly and ethically in the digital environment, taking into account principles of digital security and data protection.

GC6 – Ability to make well-founded managerial decisions under conditions of technological uncertainty and digital risks.

GC8 – Ability to use modern information-analytical systems, digital platforms, and data processing tools for economic analysis.

Special Competencies

SC2 – Ability to analyze the impact of digital technologies (AI, Big Data, IoT, Blockchain, FinTech, Web3) on the functioning of economic systems.

SC4 – Ability to assess the level of digital maturity of enterprises and economic sectors.

SC6 – Ability to develop digital transformation strategies for business processes and platform-based models.

SC9 – Ability to evaluate the economic, financial, and social consequences of automation, digitalization, and artificial intelligence implementation.

SC11 – Ability to integrate digital management tools (CRM, web analytics, digital platforms) into strategic management practice.

Program Learning Outcomes

PLO02 – Make well-founded managerial decisions considering digital technologies and economic risks.

PLO04 – Analyze digital markets and platforms using modern analytical tools.

PLO07 – Assess the economic efficiency of implementing innovative technologies in enterprise activities.

PLO10 – Develop concepts for digital transformation of enterprises and economic sectors.

PLO13 – Use international indicators and statistical databases to assess the level of digital development.

PLO16 – Analyze global Smart Economy development trends and formulate strategic recommendations for adaptation.

PLO19 – Apply digital analytics tools to prepare managerial reports and presentations.

The Student Must:

a) Know:

  • The theoretical foundations of the Smart Economy concept and its connection with the Fourth Industrial Revolution;
  • Economic models of digital transformation;
  • Principles of digital platform functioning and platform economy;
  • Fundamentals of artificial intelligence, Big Data, IoT, Blockchain, FinTech, and Web3 in the economic context;
  • Mechanisms of business process digitalization;
  • International digital development indicators (DESI, World Bank, OECD, UNCTAD);
  • Risks of the digital economy: cyber threats, regulatory constraints, and technological inequality;
  • The impact of automation and digitalization on the labor market.

b) Be Able To:

  • Conduct comprehensive analysis of digital transformation processes;
  • Assess the efficiency of digital technology implementation in enterprise activities;
  • Analyze digital platforms and business models;
  • Use web analytics and CRM tools for economic evaluation;
  • Develop enterprise digital transformation strategies;
  • Substantiate managerial decisions under digital risk conditions;
  • Work with international statistical databases;
  • Prepare analytical reports and present research results in Ukrainian and English.

Рекомендована література

Основна:

  1. Brynjolfsson E., McAfee A. The Second Machine Age. Updated edition. – New York : W. W. Norton & Company, 2022. – 336 p.
  2. Gomber P., Kauffman R., Parker C., Weber B. FinTech and the Digital Transformation of Financial Services. – Journal of Management Information Systems. – 2021. – Vol. 38(4). – P. 889–917.
  3. Marr B. Artificial Intelligence in Practice. 2nd ed. – Wiley, 2023. – 400 p.
  4. Atzori L., Iera A., Morabito G. Internet of Things: Architecture and Applications. – Computer Networks. – 2022.
  5. Tapscott D., Tapscott A. Blockchain Revolution. Updated ed. – Penguin, 2022. – 432 p.
  6. World Bank. World Development Report 2023: Digitalization for Development. – Washington, DC : World Bank, 2023. – 350 p.
  7. United Nations. Digital Economy Report 2024. – New York : UNCTAD, 2024. – 280 p.
  8. Artificial Intelligence in Society: Economic and Policy Implications. – Paris : OECD Publishing, 2023. – 250 p.
  9. European Commission. Digital Economy and Society Index Report 2024. – Brussels : European Commission, 2024.

Додаткова:

  1. Ярема О. Цифровізація в Україні: коріння успіху, виклики, шляхи подолання // Proceedings of XII International Scientific and Practical Conference. Barcelona, Spain, 2022.
  2. Ярема О., Дода А. Використання CRM-систем для покращення взаємодії з клієнтами // Економіка і бізнес: нові реалії, технологічні тренди, цифрові інновації. Львів–Ірпінь, 2025. С. 245–249.
  3. Ярема О., Ковальчук О., Гринда Т. Використання блокчейну в логістиці та управлінні ланцюгами постачання // Економіка і бізнес: нові реалії, технологічні тренди, цифрові інновації: збірник матеріалів Міжнародної науково-практичної конференції. Львів–Ірпінь, 2025. С. 425–430.
  4. Ярема О., Кострова І. Використання веб-аналітики для оцінки поведінки користувачів // Економіка і бізнес: нові реалії, технологічні тренди, цифрові інновації. Львів–Ірпінь, 2025. С. 250–256.
  5. Ярема О., Логойда-Копик М. DeFi (децентралізовані фінанси): як блокчейн змінює банківську систему // Економіка і бізнес: нові реалії, технологічні тренди, цифрові інновації. Львів–Ірпінь, 2025. С. 435–439.
  6. Ярема О., Михальчишин І.Вплив блокчейну на ринок праці: нові професії та автоматизації // Економіка і бізнес: нові реалії, технологічні тренди, цифрові інновації. Львів–Ірпінь, 2025. С. 598–601.
  7. Ярема О., Тимчишин С. Метавсесвіти та блокчейн: як Web3 змінює цифровий простір // Економіка і бізнес: нові реалії, технологічні тренди, цифрові інновації. Львів–Ірпінь, 2025. С. 462–466.
  8. Babichev S., Yarema O., Khomenko Y., Senchyshen D., Durnyak B. Sensor-Oriented Framework for Underwater Acoustic Signal Classification Using EMD–Wavelet Filtering and Bayesian-Optimized Random Forest // Sensors. 2025. Vol. 25(17). Article 5336. DOI: 10.3390/s25175336.
  9. Babichev S., Yarema O., Savchenko A. Evaluating proximity metrics for gene expression data: A hybrid model integrating data mining and machine learning techniques for disease diagnosis systems // Biomedical Signal Processing and Control. Elsevier, 2025. Vol. 110. Article 108115. DOI: 10.1016/j.bspc.2025.108115.
  10. Chen M., Mao S., Zhang Y. Big Data: Related Technologies, Challenges and Future Prospects. – Springer, 2021. – 300 p.
  11. Chishti S., Barberis J. The FinTech Book. Updated edition. – Wiley, 2021. – 420 p.
  12. Grubert J., Grasset R. Augmented Reality and Virtual Reality Systems. – ACM Computing Surveys. – 2022.
  13. Hilbert M. Big Data for Development: A Review of Promises and Challenges. – Development Policy Review. – 2021.
  14. FinTech and the Future of Finance. – International Monetary Fund, 2023.
  15. Raworth K. Doughnut Economics: Seven Ways to Think Like a 21st-Century Economist. Updated ed. – London : Random House, 2022. – 384 p.
  16. Rifkin J. The Green New Deal and the Smart Economy. – New York : St. Martin’s Press, 2022. – 304 p.
  17. Sachs J. Sustainable Development Report 2024. – Cambridge : Cambridge University Press, 2024. – 480 p.
  18. Yarema O., Slatvinska V., Demchenko V., Tretiak K., Hnatyuk R. The Impact of Blockchain Technology on International Trade and Financial Business // Universal Journal of Accounting and Finance. 2021. Vol. 10. DOI: 10.13189/ujaf.2022.100111.

Інтернет-ресурси:

  1. World Bank Open Data – https://data.worldbank.org
  2. OECD Data Portal – https://data.oecd.org
  3. European Commission Digital Strategy – https://digital-strategy.ec.europa.eu
  4. UNCTAD Digital Economy – https://unctad.org/topic/ecommerce-and-digital-economy
  5. Osvita – https://osvita.diia.gov.ua
  6. Prometheus – https://prometheus.org.ua
  7. Statista Digital Economy – https://www.statista.com
  8. World Economic Forum – https://www.weforum.org
  9. Schwab K. The Fourth Industrial Revolution. Updated ed. – Geneva : World Economic Forum, 2023. – 320 p.

Силабус: 2025-2026

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