Lehrveranstaltungen im Bachelor / Master Wirtschaftswissenschaft

Themen des Seminar sind Entwicklungslinien der Industrie- und Dienstleistungsarbeit (Taylorismus, Fordismus, Humanisierung des Arbeitslebens, Lean Management, Wissensarbeit, Interaktionsarbeit, Subjektivierung und Entgrenzung, Digitalisierung/Industrie 4.0) sowie die sich hieraus ergebenden Auswirkungen auf den arbeitenden Menschen und Herausforderungen für die Arbeitsgestaltung.

Prüfer: Prof. Dr. Haunschild

Siehe Seminar-Steckbrief

Das Seminar soll mit 20 Teilnehmenden in Präsenz in den Räumen des Instituts für interdisziplinäre Arbeitswissenschaft stattfinden.

Prüfer: Prof. Dr. Haunschild

Nachhaltigkeit und Ethik in Organisationen: Zentrale Begriffe und Konzepte (Nachhaltigkeit, CSR, ESG, Wirtschafts- und Unternehmensethik)

Ansätze zum Handeln in Organisationen (Systemtheorie, Mikropolitik)

Matten & Moon (2008): Implicit and Explicit CSR: A Conceptual Framefwork for a comparative understanding of Corporate Social Responsibility, Academy of Management Review, Vol. 33, No. 2, S. 404-424.

Ulrich: Integrative Wirtschaftsethik, in: van Aaken & Schreck (Hrsg): Theorien der Wirtschafts- und Unternehmensethik, Suhrkamp: S. 213- 236.

Krause (2019): Unternehmensethik – ein phänomenologischer Beitrag zur theoretischen Fundierung, Kapitel 2.

Begrenzte Teilnehmerzahl, Anmeldung über Stud.IP, Anmeldezeitraum 1.3.-31.3.2025.

The course "International Management and Economics" consists of two parts:

• Topics related to Business Systems, CSR and Business Ethics
• Topics related to Development and Environment Economics

Part 1 Business Systems, CSR and Business Ethics:
The course provides an introduction into National Business Systems and Comparative Industrial Relations. It thus provides insights into different economic cultures and strategies to address differences between business systems.

Corporations are embedded into an institutional setting of their parent-country. This setting, the (National) Business System, shapes e.g. the labour market, industrial relations, the education system or financial institutions. It therefore strongly shapes corporate decisions as well as strategies. Business Systems also reflect the degree and basis of trust between organizations, loyalty to outside groups or the importance of individual identity and rights that also influence corporate structures, values and decisions. Since many corporations have facilities in more than just one country, getting to know different Business Systems can help to reflect on and understand markets and strategies at home and abroad.

Corporations face many different demands from internal and external stakeholders. These demands might imply contradictory actions, might not all be equally justified or might even not represent all legitimate demands in a given situation. In these not so unusual situations, responsible decision-making becomes an ethical challenge. The course aims to provide perspectives to understand and analyse these dilemma situations in corporate contexts (but also in everyday life). The structure of ethical conflicts as well as different views on goodness are analytically introduced and strategies for informed and responsible decision making processes discussed. In the second part of the course, different business oriented approaches addressing these challenges like Corporate Social Responsibility, Creating Shared Value, Labelling or Reporting are presented and critically evaluated.

Part 2 Development and Environment Economics:
It is well recognized that economic growth and development are closely interacted with natural resources and the environment. Such interactions are intricately linked with the everyday life of individual persons and households, especially in developing countries where the issues and concerns are somewhat different as compared to developed countries. Sustainability is a much more immediate concept, since it must take into account of pressing concerns such as basic subsistence and even survival. Therefore, the aim of the course is to provide students with an understanding of the relationship between economic growth, development and environmental issues.

The course thus covers a range of topics including the drivers of economic growth, the contribution of natural resources and ecosystem services to economic growth and development, the effects of economic growth and development on the sustainable management of natural resources and the environment. The lectures are designed in a more advanced way, including theories, case studies, and exercises. The participants are thus familiar with the issues that relate environment and development at international, national and local levels.

1. Daly, H.E., Farley, J., 2003. Ecological Economics: Principles and Applications, Island Press.
2. Todaro, M.P., Smith, S., 2012. Economic Development (11th edition), Pearson.

This course is part of the HISSEMA. More information can be obtained from HISSEMA/GUEST Coordinator, Ms. Nino Iden (Room I-101).

This course is part of the HISSEMA. Admission is restricted to HISSEMA-Program students.

Siehe Seminar-Steckbrief

Das Seminar soll mit 20 Teilnehmenden in Präsenz in den Räumen des Instituts für interdisziplinäre Arbeitswissenschaft stattfinden.

Prüfer: Prof. Dr. Haunschild

In the seminar, we will explore existing varieties of work, emloyment and organization. Each seminar paper addresses a specific forms of work and/or employment such as creative labour, emotional and aesthetic labour, body work, precarious labour, call center work, temporary agency work, digital labour in industry and services, new forms of slavery, care work and knowledge work.

It is the aim of the seminar to understand the varieties of current forms of work and employment by analysing how work is organized, how it has developed historically, how it is embedded in an institutional context and which consequences this has for workers, organizations and the society.

Basic literature for each of the seminar topics will be provided in the introductory session.

Block course, first introductory session with assignment of topics for seminar papers in November, submission and two seminar days with presentations and discussions in January.

For details (registration form, dates and room) see announcement on the website of the Institut für interdisziplinäre Arbeitswissenschaft.

This course imparts knowledge in different qualitative research methods used in management research. It introduces students to the various stages involved in conducting such research. After a general introduction to qualitative research, the course discusses how to create an interview guide and provides students with a comprehensive understanding of interview situations. The curriculum then shifts to data analysis, where students learn about the process of deciphering data collected from interviews and the techniques used to identify patterns, themes, and insights. Subsequently, students will learn about the development of robust data structures, which are crucial for systematic and meaningful interpretation of findings. Finally, the course provides insights into effective communication of research insights, thereby enhancing students comprehension of written presentation of qualitative research.

• Flick, U. (2022). An introduction to qualitative research. sage.
• Gioia, D. A., Corley, K. G., & Hamilton, A. L. (2013). Seeking qualitative rigor in inductive research: Notes on the Gioia methodology. Organizational research methods, 16(1), 15-31.
• Mayring, P. (2004). Qualitative content analysis. A companion to qualitative research, 1(2), 159-176.

This course provides a broad overview of entrepreneurship topics including corporate entrepreneurship, founding, and start-ups. It provides insights into entrepreneurial decisions, problem-identification and creativity, business models, and the recognition of opportunities and risks. Participants in the course will learn how to think and act entrepreneurially in order to successfully implement ideas, enhance innovation processes, and start a venture. In addition, they learn about sources of financing and valuation methods.

Christensen, C. M. (2013). The innovator's dilemma: when new technologies cause great firms to fail. Harvard Business Review Press.

uening, T. N., Hisrich, R. A., & Lechter, M. A. (2020). Technology entrepreneurship: Taking innovation to the marketplace. Academic Press.

Osterwalder, A., & Pigneur, Y. (2010). Business model generation: a handbook for visionaries, game changers, and challengers. John Wiley & Sons.

Ramoglou, S., & Tsang, E. W. (2016). A realist perspective of entrepreneurship: Opportunities as propensities. Academy of Management Review, 41(3), 410-434.

Sarasvathy, S. D. (2001). Causation and effectuation: Toward a theoretical shift from economic inevitability to entrepreneurial contingency. Academy of management Review, 26(2), 243-263.

The exam is held in English and must also be answered in English.

Dieser Kurs bietet vertiefende Einblicke in die Unternehmensgründung. Dabei geht es um das Verständnis der theoretischen Grundlagen, der zugrundeliegenden Methodik und der allgemeinen Denkweise, die notwendig ist, um ein Unternehmen zu gründen. Im Rahmen dieses Kurses haben Sie die Möglichkeit, praxisrelevante Gründungsmethoden kennen zu lernen und anhand einer Produkt- oder Dienstleistungsidee anzuwenden.
Während der fünftägigen Blockveranstaltung entwickeln Sie in Ihrer Gruppe ein Geschäftsmodell für eine vorgegebene Produktidee und lernen, wie Sie einer eigenen Idee aus dem Studium gründen können. Die Veranstaltungen bestehen aus einer Mischung aus klassischen Vorlesungen (theoretische Grundlagen), Geschäftsmodellsentwicklung (Anwendung) und Präsentationen.

• Smith, J. K., & Smith, R. L. (2019). Entrepreneurial Finance: Venture Capital, Deal Structure & Valuation. Stanford University Press.
• Spinelli, S., Ensign, P. C., & Adams, R. J. (2014). New venture creation. McGraw-Hill Ryerson.
• Osterwalder, A., & Pigneur, Y. (2010). Business model generation: a handbook for visionaries, game changers, and challengers (Vol. 1). John Wiley & Sons.

Inhalt: In diesem Modul arbeiten Teilnehmende in Gruppen von 3-6 Mitgliedern zusammen, um gemeinsam zu einer abgesteckten Idee ein Geschäftsmodell zu entwickeln und in einen Gründungsantrag zu überführen. Anschließend werden die Ergebnisse in Form einer Präsentation und einer Hausarbeit festgehalten. Der Workshop bereitet somit auf eine mögliche Unternehmensgründung nach dem Studium vor.

Prüfung: Es gibt zwei Prüfungskomponenten: (1) Eine (Gruppen-)Präsentation (50%) und (2) eine schriftliche Kurzprüfung (25%) und (3) die mündliche Mitarbeit im Kurs (25%). Insbesondere die Hausarbeit simuliert das Verfassen eines möglichen Förderungsantrags zur Ausgründung aus dem Studium.

Anmeldung: Der Kurs ist auf 30 Teilnehmende beschränkt. Die Anmeldung erfolgt in einem mehrstufigen Prozess. (1) Bitte tragen Sie sich in den Stud.IP-Kurs ein. (2) Dort erhalten Sie weitere Information zur Anmeldung durch ein Formular. (3) Sollten sich mehr als 30 Interessent:innen registrieren, werden die Plätze per Los vergeben.

Sonstiges: Der Kurs findet als Blockveranstaltung statt. Um die reibungslose Durchführung des Workshops gewährleistenzu können und um der intensiven Teamarbeit gerecht zu werden, ist die Anwesenheit über den gesamten Veranstaltungszeitraum ausdrücklich empfohlen. Falls Sie dieser Empfehlung nicht nachkommen können, bitten wir Sie, den Platz für andere Studierende freizuhalten. Die genauen Zeiten werden vor der Anmeldung zum Kurs bei Stud.IP bekannt gegeben.

This course provides an overview of digital innovations, especially artificial intelligence (AI), and gives students in-depth insights into its application in organizations. The focus is on understanding the theoretical underpinnings, underlying methodology, and general mindset necessary to make sense of AI in organizations and startups. In this course, students will have the opportunity to learn about methods relevant to real-world applications and apply them in a case study. For this purpose, they identify a problem and conceptually develop an AI-supported solution approach in groups. The courses consist of a mixture of classical lectures (theoretical basics), idea development (application) and presentations.

Akerkar, R. (2019). Artificial Intelligence for Business. Springer

Content: In this module, participants work in groups of 3-5 members to jointly identify a problem and conceptually develop an AI-supported solution approach. The results are then presented, discussed and recorded in the form of a presentation. The workshop thus prepares participants for a possible position as digital innovation manager, data scientist or technology entrepreneur after graduation.

Exam: The examination will be a presentation and discussion.

Registration: The course is limited to 30 participants. Registration is a multi-step process. (1) Please register in the Stud.IP course. (2) There you will receive further information about the registration through a form. (3) If more than 30 participants register, places will be allocated by drawing.

Miscellaneous: The course starts with a two-day block to introduce the topics. Afterwards, there is a three-week working phase in which coaching sessions take place in groups. Finally, the results are presented, discussed, and codified.