During lecture time, we have our Lunchtime Seminar each Tuesday from 12.15-12.45. During this seminars, researchers of the Department or invited guest provide us with insights into their research.
Datum![]() |
Titel | Zusammenfassung |
---|---|---|
23.01.2024 | CANCELED | |
30.01.2024 | The Technology-behavior Compensation Effect: How Beneficial and Actively Used Technologies Can Counteract Their Societal Goals |
Speaker: Simon Thanh-Nam Trang |
09.04.2024 | Exploring the Boundaries of Digital Product Innovation - The Case of Over-the-Air Technology |
Speaker: Thomas Haskamp |
16.04.2024 | Integrated Planning and Digital Twins in Healthcare Logistics |
Speaker: Dr.-Ing. Melanie Reuter-Oppermann |
23.04.2024 | The Benevolent Enterprise – How to Operationalise and Scale Doing Good |
Speaker: Marleen Voss |
07.05.2024 | Enhancing customer satisfaction: The impact of IoT-driven process change |
Speaker: Monika Malinova Mandelburger Abstract: Over the past decade, organizations have been increasingly relying on digital technologies to meet customer demands. Among these, the Internet of Things (IoT) is one example of an umbrella of technologies that is often used for this purpose. The adoption of IoT technologies often alters business processes, which in turn affects the customers in various ways. This research talk will delve into how IoT-... mehr |
14.05.2024 | Started for the Call, Continued for the Job: The Effect of Personal Contact in Online Labor Platform Onboarding on Worker Activity and Performance |
Speaker: Dr. Mark Boons |
28.05.2024 | Public Data Spaces as Service Ecosystems: Insights from Designing a Cultural Data Space |
Speaker: Prof. Daniel Beverungen |
11.06.2024 | Hiring Biases and Responsible Artificial Intelligence |
Speaker: Dr. Shweta Singh Abstract: In order to mitigate algorithmic AI biases, there has been ample research to develop ‘de-biased’ AI solutions. However, researchers also acknowledge that technological fixes of AI bias and a mathematical notion of AI fairness is hard to come by. Thus, we propose a unique and novel technique to understand biases from the AI models and argue to integrate this knowledge in our society, in order to... mehr |
25.06.2024 | Academic Publishing and Academic Ethos - Looking Back to the Future |
Speaker: Prof. Stefan Klein |