Beata Żukowska

Dr. Beata Żukowska serves as a Lecturer at the Department of Banking and Financial Markets within the Institute of Economics and Finance at the Faculty of Economics, Maria Curie-Skłodowska University (UMCS) in Lublin, Poland. Her academic work bridges traditional economic research with modern data analytics approaches, focusing particularly on family businesses and their adaptation to contemporary financial and technological landscapes.

Her educational background includes:

• Doctor of Social Sciences in economics and finance (2020)
• Master's degree in finance and accounting (2014)
• Postgraduate studies in "Data science in business applications" (2022)

Dr. Żukowska's primary research focuses on family businesses and their unique characteristics, with particular attention to professionalization processes, generational transitions, and strategic decision-making. Her work increasingly examines how family businesses can leverage big data and artificial intelligence technologies to enhance their competitive advantage, reflecting her interdisciplinary approach that combines economic theory with data science applications.

Her publication record demonstrates strong expertise in family business dynamics, with emphasis on Polish family enterprises. Her research examines business resilience during crises (including the COVID-19 pandemic), sustainable development practices, gender roles in family businesses, and the impact of social capital on economic performance. She frequently collaborates with researchers from the Institute of Economics and Finance at UMCS, producing interdisciplinary work that connects theoretical frameworks with practical business applications.

Her notable scientific achievements include:

• Individual III degree Rector's Award for doctoral dissertation (2020)
• Team II degree Rector's Award for outstanding work for the university (2017)
• "Best paper" award at the Entrepreneurship and Family Enterprise Research International Conference (EFERIC 2017)

Dr. Żukowska serves as the tutor for the Business Analytics & Data Science program (first year) and coordinates the organization of student conferences, including four national and one international conference. She has collaborated with various institutions including the Polish Academy of Sciences Foundation, Lublin Consulting Center, and Lublin City Office on significant projects such as the Development Strategy for the Creative Industries Sector in Lublin and the report on "Long-term Financial Savings in Poland." Her teaching portfolio spans data mining, quantitative fundamentals, blockchain and AI technologies in finance, banking and financial services, and introduction to data science.