Industrial organisation/economics 2600-DIz1EB
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.
Type of course
Course coordinators
Learning outcomes
Knowledge – the graduate knows and understands: K_W01, K_W03, K_W05
• in-depth research methodology and terminology in the field of economics and digital finance, as well as in complementary disciplines (management and quality sciences, legal sciences), enabling the analysis of sectors and industries in the context of contemporary economic processes (K_W01);
• in-depth theories and economic models concerning the functioning of organizations, sectors, and the entire economy, with particular emphasis on mechanisms of competition, innovativeness, and processes related to digital finance and the application of modern technologies (including artificial intelligence) (K_W03);
• complex technological, social, political, legal, economic, and ecological processes and phenomena (including automation, robotization, digitalization, energy transformation), as well as fundamental dilemmas of contemporary civilization and their impact on financial decisions, investment strategies, enterprise functioning, and the construction of digital information systems (K_W05).
Skills – the graduate is able to: K_U01, K_U02
• apply theories of economics and finance, as well as knowledge from complementary disciplines (management and quality sciences, legal sciences), to identify, diagnose, and solve problems related to financial decision-making in the area of digital finance, including through the use of modern analytical tools and artificial intelligence (K_U01);
• correctly interpret complex technological, social, political, legal, economic, and ecological processes and phenomena, and assess their impact on financial decisions, organizational functioning, the dynamics of economic sectors, as well as the potential use of digital data in the analysis and forecasting of market trends (K_U02).
Social competences – the graduate is ready to: K_K01, K_K02, K_K03, K_K04
• evaluate and adopt a critical approach to complex situations and phenomena related to digital finance, data analysis, and the application of new technologies in organizations and the economy (K_K01);
• recognize the importance and value of scientific knowledge and modern data analysis methods in solving complex problems in the field of digital finance, as well as use expert opinions and research findings in the decision-making process (K_K02);
• initiate activities and projects that make use of digitalization, automation, and artificial intelligence in ways that benefit communities, society, or the environment, and engage in actions for the common good (K_K03);
• think and act in an entrepreneurial manner in conditions of digital transformation, both at the national and global level, while considering dynamic technological and market changes (K_K04).
Assessment criteria
The lecture ends with an exam. The exam may be conducted on-site or online and includes problem-based questions that verify the degree of mastery of theoretical knowledge as well as the ability to apply it in industry and investment analysis. Students may take the exam after obtaining a passing grade in the practical classes. The assessment of student performance during the practical classes is comprehensive. It consists of: active participation in classes, the quality of prepared industry analyses and team presentations, substantive accuracy, timeliness and reliability of submitted assignments, the ability to use digital tools (e.g., spreadsheets, databases, analytical applications, basic AI tools) in preparing analyses, the ability to interpret financial indicators and market data in a digital context, and the presentation of results in a multimedia format.
Practical placement
Not applicable
Bibliography
1. Gregor, B., Kaczorowska-Spychalska, D. (2021). Digital Technologies in Business: Enterprises 4.0 and Artificial Intelligence. Warsaw: PWN.
2. Klimczak, K.M., Mleczko, J., Więcek, D. (2023). Business activity of enterprises under Industry 4.0. Warsaw: PWE.
3. Michna, A., Kaźmierczak, J. (Eds.) (2020). Industry 4.0 in organizations: challenges and opportunities for micro, small, and medium-sized enterprises. Warsaw: CeDeWu.
4. Clark, Peter A. (2000). Organisations in action: competition between contexts. London: Routledge.
5. Industry reports.
6. Statistics Poland (GUS) data: Business entities, financial results, Statistical Yearbooks.
7. Databases: GUS, Eurostat, OECD, BLS.
8. Selected problem-oriented articles: Journal of Industry, Competition and Trade.
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Term 2025Z:
1. Gregor B., Kaczorowska-Spychalska D., (2021). Technologie cyfrowe w biznesie. Przedsiębiorstwa 4.0 |
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: