Industrial organisation/economics 2600-IADdz1EB

The course focuses on the analysis of industry as a fundamental level of economic analysis, with particular emphasis on its structure, competitiveness, and sensitivity to external shocks. Technological and cost conditions of industry functioning, market structure, its definition and segmentation, degree of concentration, entry barriers, and competitive dynamics are discussed. The analysis also covers demand formation, product differentiation, pricing policy of enterprises, the value chain, margin distribution, and financial results of key market players.

An important element of the course is the issue of industry internationalization, the selection of foreign markets, and the assessment of their development prospects based on trend analysis, scenario building, and identification of key success factors. Statistical data, methods of economic and financial analysis, and tools supporting the evaluation of the situation and development prospects of industries are utilized in the analytical process.

Tutorial classes are practical in nature and serve to apply economic and financial analysis to assess the situation and development prospects of selected industries, incorporating the use of quantitative data and analytical tools. Students conduct comparative analyses of enterprises from an industry perspective, identify factors affecting their competitiveness, efficiency, and investment potential, and interpret results in the context of investment decision-making. Particular emphasis is placed on using real economic data, ratio analysis methods, and elements of forecasting to prepare analytical reports and formulate investment conclusions and recommendations.

Term 2025Z:

The course focuses on the analysis of sectors and industries in the national economy, with particular emphasis on their role in shaping the operating conditions of enterprises and supporting investment decision-making. Participants will become familiar with the mechanisms of individual sectors, the specific features of industries with traditionally strong positions, as well as those developing dynamically thanks to innovation, technological transformation, and the application of modern tools, including artificial intelligence. Students learn to identify the links between market structure, industry characteristics, and the investment process, and to assess which conditions foster or limit growth opportunities in different sectors.
During the lectures, students explore market structures, business models, and competition mechanisms, as well as their impact on enterprise productivity and profitability. They are introduced to tools used in industry analysis and feasibility studies, including data published by statistical institutions such as Statistics Poland (GUS) and Eurostat. Particular attention is paid to the interpretation of financial indicators and their application in evaluating the effectiveness of investment projects.
The practical classes are designed to apply the acquired theoretical knowledge, including in the form of workshops. Students analyse case studies of enterprises from different industries, assess their competitive position, interpret sectoral financial data, and carry out a team project involving the selection of an industry and the preparation of a mini investment report with efficiency and productivity calculations. Graduates will also be prepared to work confidently with AI tools, optimize investment strategies, and make decisions in a dynamic market environment.
The course is interdisciplinary in nature – combining economic, financial, legal, and managerial knowledge with the practice of data analysis and investment. The program content is closely linked to other courses within the Investments and Data Analysis program, in particular those focusing on capital market analysis, financial management, evaluation of financial instruments, and investment project valuation.
Through the course, students develop competences required of specialists in the field of investment and data analysis – the ability to critically analyse economic processes, understand mechanisms of competition and innovation, apply methods of financial performance evaluation, and use AI tools to forecast trends and optimize investment decisions. They also strengthen their analytical and communication skills – preparing industry reports, presenting analysis results to different audiences, and learning to use advanced IT tools that support decision-making.
As a result, graduates are well-prepared for careers in financial institutions, consulting and advisory firms, manufacturing and service enterprises, as well as economic administration bodies. The ability to assess industries and investment projects, interpret financial indicators, analyse market data, and apply AI tools provides an important addition to their professional qualifications and enhances their ability to operate in an economy increasingly driven by knowledge, technology, and data.

Course coordinators

Grzegorz Tchorek

Type of course

obligatory courses

Learning outcomes

Knowledge: The graduate knows and understands:
• K_W01, K_W03, K_W05, K_W08
• (K_W01) in an in-depth manner, the conceptual apparatus and methodology of economic and financial analysis used in the study of industry structures, markets, and enterprises;
• (K_W03) economic theories and models describing the functioning of industries in the context of evaluating their investment attractiveness and data analysis;
• (K_W05) the impact of complex technological, social, political, legal, economic, and ecological processes in the market environment on financial decisions and development prospects of industries;
• (K_W08) principles of creating and developing various forms of entrepreneurship, including internationalization strategies, business activity forms, and enterprise innovation.

Skills: The graduate is able to:
• K_U01, K_U02
• (K_U01) use knowledge in economics, finance, and complementary disciplines to recognize and diagnose market situations, perform comparative analyses of companies, and forecast their results;
• (K_U02) correctly interpret complex technological, social, political, legal, economic, and ecological processes and phenomena, and evaluate their impact on the efficiency and investment potential of entities.

Social Competences: The graduate is ready to:
• K_K01, K_K02, K_K03, K_K04
• (K_K01) critically evaluate market data and phenomena related to financial investments and data analysis in an organization;
• (K_K02) recognize the value of scientific methodology and reliable economic data analysis in solving decision-making problems, and seek expert opinions within industry analyses;
• (K_K03) take into account the public interest, economic consequences, and principles of responsible investing in the context of analyzing industry development;
• (K_K04) think and act entrepreneurially when identifying market opportunities and barriers at the industry level on a national and global scale.

Assessment criteria

Verification of learning outcomes includes evaluating the degree of mastery of theoretical knowledge and the ability to apply it in assessing the situation and development prospects of industries, making financial and investment decisions, as well as identifying and assessing risk.
The evaluation takes into account the results of a written exam, the substantive correctness, reliability, and timeliness of a team final report, and active participation during tutorial classes.
The course ends with a written exam. A prerequisite for taking the exam is passing the tutorial classes with a grade.

Bibliography

1. Gorynia M. (2021). Przedsiębiorstwo w biznesie międzynarodowy: aspekty ekonomiczne, finansowe i menedżerskie, Warszawa: PWN SA.
2. Klimczak K.M., Mleczko J., Więcek D., (2023). Działalność gospodarcza przedsiębiorstw w warunkach Przemysłu 4.0, Warszawa: PWE.
3. Michna A., Kaźmierczak J., 2020, (red.). Przemysł 4.0 w organizacjach: wyzwania i szanse dla mikro, małych
i średnich przedsiębiorstw, Warszawa: CeDeWu.
4. Clark, Peter A. (2000). Organisations in action: competition between contexts. London: Routledge.

Term 2025Z:

1. Klimczak K.M., Mleczko J., Więcek D., (2023). Działalność gospodarcza przedsiębiorstw w warunkach Przemysłu 4.0, Warszawa: PWE.
2. Michna A., Kaźmierczak J., 2020, (red.). Przemysł 4.0 w organizacjach: wyzwania i szanse dla mikro, małych
i średnich przedsiębiorstw, Warszawa: CeDeWu.
3. Clark, Peter A. (2000). Organisations in action: competition between contexts. London: Routledge.
4. Raporty branżowe.
5. Dane GUS: Podmioty gospodarcze. Wyniki finansowe. Roczniki statystyczne.
6. Baza danych GUS, Eurostat, OECD, BLS.
7. Wybrane artykuły problemowe: Journal of Industry, Competition and Trade.