Industrial organisation/economics 2600-DIdz1EB

The course focuses on the analysis of the industry as a fundamental level of economic analysis, with special emphasis on its structure, competitiveness, and vulnerability to external shocks. Technological and cost conditions of industry operation, market structure, definition and segmentation, degree of concentration, entry barriers, and competitive dynamics are discussed. The analysis also covers demand formation, product differentiation, corporate pricing policy, value chain, margin distribution, and financial results of key players.
An important element of the course is the issue of industry internationalization, selection of foreign markets, and assessment of their development prospects based on trend analysis, scenario building, and identification of key success factors. The analytical process utilizes statistical data, economic and financial analysis methods, as well as tools supporting the assessment of the situation and development prospects of industries.
The aim of the practical classes (tutorials) is to acquire skills in conducting economic analysis of selected industries, with particular emphasis on the variation in the level and sources of profitability, degree of investment uncertainty, and capital intensity of activities. The analysis includes identifying and evaluating factors determining financial results, growth potential, and long-term investment attractiveness of the industry. An element of this is also the interpretation of obtained results in the context of evaluating investment opportunities and constraints, as well as formulating investment 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 in making investment decisions. Participants will become familiar with the mechanisms governing individual sectors, the specific characteristics of industries with traditionally strong positions, as well as those developing dynamically due to innovation, technological transformation, and processes such as automation, robotics, digitalization, and energy transition. Students will learn to identify connections between market structures, industry characteristics, and the investment process, as well as to evaluate which conditions foster or limit development opportunities in specific sectors.
Lectures address market structures, business models, and mechanisms of competition, along with their impact on enterprise productivity and profitability. Students will gain knowledge of tools used in industry analysis and feasibility studies, including the use of data published by statistical institutions such as GUS and Eurostat. Special attention is devoted to the interpretation of financial indicators and their application in assessing the effectiveness of investment projects.
Practical classes are designed to apply the acquired theoretical knowledge, including workshops. Students analyse case studies of companies from various industries, evaluate their competitive position, interpret financial data at the sectoral level, and complete a team project that involves selecting an industry and preparing a mini-investment report with efficiency and productivity calculations. In this way, they acquire skills in identifying key market trends, recognizing opportunities and risks for industries, and assessing the investment potential of enterprises.
The course is interdisciplinary – it integrates economic, financial, legal, and managerial knowledge with the practice of data analysis and digital finance. Its content is directly linked with other courses within the Digital Finance program, particularly those focusing on capital market analysis, financial management, evaluation of financial instruments, and investment project valuation.
By completing the course, students develop competencies required of specialists in digital finance and data analysis – including the ability to critically analyse economic processes, identify mechanisms of competition and innovation, and apply methods of financial performance assessment. Students also strengthen their analytical and communication skills – they prepare industry reports, present analysis results to different audiences, and learn to apply advanced digital tools and artificial intelligence solutions supporting the decision-making process.
As a result, graduates will be prepared for careers in financial institutions, advisory and consulting firms, manufacturing and service enterprises, as well as public administration units. The ability to evaluate industries and investment projects, interpret financial indicators, analyse market data, and apply digital technologies and AI tools represents a valuable complement to their professional qualifications and enhances their capacity to operate effectively in a knowledge-, technology-, and data-driven economy.

Course coordinators

Grzegorz Tchorek

Type of course

obligatory courses

Learning outcomes

Knowledge: The graduate knows and understands:
K_W01, K_W02, K_W03, K_W05
• (K_W01) in an in-depth manner, the research methodology and terminology in the field of economics and finance applied in the analysis of sectors and industries of the economy;
• (K_W02) in an in-depth manner, the principles, procedures, and practices for assessing industry efficiency and valuing economic projects for investment advisory and capital market needs;
• (K_W03) in an in-depth manner, economic theories and models concerning the functioning of organizations, sectors, and the entire economy, in particular regarding knowledge areas related to investment advisory and capital markets;
• (K_W05) complex technological, social, political, legal, economic, and ecological processes and phenomena (including digitalization, automation, and energy transition) and their impact on financial decisions in organizations and the functioning of the entire economy.

Skills: The graduate is able to:
K_U02, K_U06, K_U07
• (K_U02) correctly interpret processes and phenomena affecting the development of industries and assess their impact on financial decisions and the functioning of organizations;
• (K_U06) prepare and present industry analyses and reports for investment advisory and capital markets using ICT tools;
• (K_U07) use a foreign language and specialized terminology in economics and finance when analyzing foreign-language industry reports.

Social Competencies: The graduate is ready to:
K_K01, K_K04, K_K05
• (K_K01) critically evaluate economic processes, market structures, and industry data for investment advisory purposes;
• (K_K04) think and act entrepreneurially when analyzing business models of enterprises nationally and globally;
• (K_K05) observe and promote professional ethical standards when preparing and presenting industry analyses.

Assessment criteria

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

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. Gregor B., Kaczorowska-Spychalska D., (2021). Technologie cyfrowe w biznesie. Przedsiębiorstwa 4.0
a sztuczna inteligencja, Warszawa: PWN.
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.
5. Raporty branżowe.
6. Dane GUS: Podmioty gospodarcze. Wyniki finansowe. Roczniki statystyczne.
7. Baza danych GUS, Eurostat, OECD, BLS.
8. Wybrane artykuły problemowe: Journal of Industry, Competition and Trade.