Course Schedule

Veranstaltungen von Prof. Dr. Stefanie Habersang


Lehrveranstaltungen

M&E in Digital Age: Digital-Sustainable Business Models and Platform Economics (Seminar)

Dozent/in: Stefanie Habersang

Termin:
14-täglich | Montag | 08:15 - 11:45 | 20.10.2025 - 28.01.2026 | C 14.103 Seminarraum
Einzeltermin | Mo, 24.11.2025, 08:15 - Mo, 24.11.2025, 11:45 | C 40.530 Seminarraum | Ersatzvorlesung

Inhalt: This seminar is a theory-based, yet interactive course designed to equip students with the knowledge and skills to develop a sustainable platform-based business model. Drawing from the key insights from the books "The Platform Business Navigator" and "Sustainable Business Model Design" this course offers a hands-on approach to understanding and creating value in the digital economy. Over the span of six double sessions, students will explore opportunities for sustainable value creation, platform design, monetization, scaling, and managing digital platforms. In this class, students will also actively engage with AI models such as ChatGPT to support the ideation and creativity process in building a platform business model. Together, we will critically assess and discuss the use of AI for building a sustainable platform business model. In line with our engagement in the PRME initative, this course draws on the I5 Playbook (https://www.i5playbook.org). Business leaders are undeniably one of the most important agents to create sustainable positive development for the world. In the wake of a global pandemic, rising inequalities and environmental disasters, it has become increasingly clear that leaders with a holistic skillset are in scarce supply. These humanitarian catastrophes have surfaced ‘wicked problems’ where no predefined methods exist to solve these transnational challenges and where the call for novel innovative solutions, and ‘minds-on/hands-on’ multi-disciplinary approaches are critically in demand. Today, there is an urgent need for world leaders who can leverage interconnected, dynamic and holistic skills to tackle the global challenges society faces. Therefore, this course implements the I5 principles: 1. Make learning Meaningful 2. Facilitate Active Engagement 3. Design for Iteration 4. Develop supportive Social Interaction 5. Foster Joy and Well-being

Betreuung Abschlussarbeiten SoSe 2026 - Digitale Transformation (Belegung)

Dozent/in: Stefanie Habersang

Inhalt: The Professorship for Digital Transformation supervises bachelor's and master's theses in the fields of digitalization and sustainaility (digital-ecological transformation), organization theory but also in the field of (female) entrepreneurship. These theses can be conceptual papers or qualitative studies. You can either work on a predefined topic (see current offerings below) or propose an area of interest, including relevant literature, from which a research question can be developed during supervision. You can either come with a fixed topic idea or you can specify a broad area of interest out of which a research question will be developed in the course of the supervision. (1) Application and selection The selection procedure is inseparably connected with the formal procedure for coordinating supervision places at the School of Management & Technology. The application deadline is communicated by the Study Dean’s Office, and selection decisions are communicated in keeping with the regulations by the Study Dean’s Office. For an application to be complete, please upload an up-to-date performance record in the folder “applications” on myStudy and short description of your field of interest (e.g. by filling out the Kick-Off Page, see here: https://www.leuphana.de/en/institutes/imo/digital-transformation/final-theses.html) If the number of applications exceeds available supervision capacities (3-4 supervisions per semester), decisions on acceptance/rejection are made based on your performance in courses and seminars of the Professorship for Digital Transformation. (2) Topic Development You can either develop a topic on your own or you look at my website for specific topics that I am supervising (see here:https://www.leuphana.de/fileadmin/user_upload/Forschungseinrichtungen/imo/personen/habersang_stefanie/files/Abschlussarbeiten_SoSe26.pdf) and for more general information please see here: https://www.leuphana.de/en/institutes/imo/digital-transformation/final-theses.html (3) Registration process If we can find a common area for supervision and you are selected, the process will be as follows: - Initial meeting based on your application. - Preparation of an exposé within one month; another meeting will be held to support this process. - Feedback on your exposé and resubmission after 14 days. - Registration of the thesis. Please note: the latest date for registering your thesis is the following date: Master thesis: 30th of April // Bachelor thesis: 30th of May). In case the deadline is not met, I cannot supervise your thesis anymore!!! - Completion of the thesis within the current semester. After registering your thesis, up to two more meetings for further coordination can be scheduled. All the steps mentioned above must be completed on time to ensure your thesis is finished within the current semester! (4) Proposal details You have to compose a proposal (max. six pages) for your final thesis. This proposal should explicate the following aspects: -Cover sheet including the title of your thesis and research question (also: name, matriculation number, etc) -Relevance: Why is it interesting to address this research question or topic? -Positioning: In which stream of literature is the topic embedded? What do we know? What do we not know or what is the problematic assumption that you would like to challenge? What is the research question that emerges out of your problematization/gap-spotting in the literature? -Methodological approach: If your intend to conduct an empirical study, please specify your research design and your aspired data collection procedures. Please note that conceptual theses are eligible as well. If so, elaborations on methodical procedures are not required. -Abstract description of expected findings: When developing your ideas, you might already have ideas about the direction that your analysis might take. -References