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Root number
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467501 |
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Semester
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HS2025 |
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Type of course
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Lecture |
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Allocation to subject
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Business Administration |
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Type of exam
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Assignment |
| Title |
Digital Ecosystems and Individuals |
| Description |
IT has become increasingly powerful and intelligent, and as a result, various digital technologies are diffusing rapidly, shaping our increasingly "digital lives" – not only at the workplace. Technologies such as artificial intelligence enable new interactions with IT and more profound decision-support for professional and non-professional users. This can thus lead to higher decision-making quality, often at the same time reducing costs. Many recent trends across application domains profit from such technological evolutions, and consequently, they build the basis for evolving digital ecosystems, comprising various (sometimes non-professional) service providers and novel market structures that underpin innovative digital products and services.
Also due to the extensive scope, these evolutions present both advantages (e.g., new forms of communication) and novel challenges (e.g., increasing complexity and privacy requirements) to users, firms, and other stakeholders involved in digital ecosystems. The resulting advantages and challenges also impact society, necessitating effective and sustainable technology design, implementation, and regulation.
The course addresses recent changes around digitalized individuals and ecosystems by focusing on specific topics that change on a yearly basis. This year's focus will be on the design and user acceptance of large language models (LLMs) in complex user and customer interactions. The exact topics will be announced in the introductory session.
The objective of the course is twofold: First, to provide in-depth insights into the opportunities and challenges in our increasingly digitalized world, and second, to equip students with the skills necessary to thrive in this digital landscape. Concurrently, it will deepen the understanding of the theoretical and methodological foundations of Information Systems, which will also be instrumental in preparation for the master's thesis. Depending on the topic, the focus of the master's thesis may align with the seminar topics.
The seminar will commence with introductory sessions, during which participants will receive an overview of the fundamental concepts of the subject matter. In the second part, participants will work on the topics in groups of 4-5 students using established scientific methods (e.g., qualitative interviews). The participants will work collaboratively throughout the semester and will be evaluated based on a final presentation and a written seminar paper.
*Note: All students who completed the course by HS23 can have it credited as a seminar. Starting from HS24, the course is credited as a lecture. It will continue to be part of the Digital Business module. |
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ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Prof. Dr.
Christian Matt, Institute of Information Systems, Information Management ✉
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ECTS
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6 |
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Recognition as optional course possible
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No |
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Grading
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1 to 6 |
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| Dates |
Tuesday 16/9/2025 14:00-17:30
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Wednesday 17/9/2025 13:00-16:00
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Tuesday 7/10/2025 14:00-17:30
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Tuesday 28/10/2025 14:00-17:30
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Tuesday 9/12/2025 13:00-17:30
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Rooms
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
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Öffentlicher Bereich
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