Prof. Dr. Milad Mirbabaie

About the Person

After completing his Bachelor's and Master's degree at the University of Hamburg, Prof. Dr. Milad Mirbabaie began his academic career at the University of Münster, where he began and successfully completed his PhD in Information Systems in 2018. He then worked as a postdoc at the University of Duisburg-Essen until he took up a deputy professorship at the University of Bremen in 2019. From 2021-2023 he was a junior professor for Information Systems, esp. Digital Society at Paderborn University. Since December 2023, he has been University Professor and Chair of Information Systems, esp. AI Engineering in Companies at the Otto-Friedrich-University Bamberg.  

Professor Mirbabaie has published over 100 papers in the leading business informatics and information systems journals. Together with his co-authors, he also presents his research at leading information systems conferences such as ICIS (International Conference on Information Systems) or ECIS (European Conference on Information Systems).

As part of Prof. Dr. Milad Mirbabaie's teaching portfolio, fundamental topics from business informatics are covered in order to support students in dealing with current problems. In addition to teaching theories and methods from Information Systems, Psychology/Communication Sciences, Sociology and Philosophy, the aim of good Information Systems teaching is also to promote application-oriented and interactive learning. Professor Mirbabaie offers the following courses at the University of Bamberg:

Bachelor:

• KI-Engineering in Unternehmen (WiSe)
• Digital Society (WiSe)
• Praxisprojekt Human-AI Collaboration (WiSe)
• Digital Organisations (SoSe)
• AI in IS Resarch (SoSe)
• Praxisprojekt Digitale Innovationen in Unternehmen (SoSe)

Master:

• Ethics and AI (WiSe)
• Green AI (WiSe)
• Forschungsprojekt: Digital Transformation and AI-based Systems (WiSe)
• Hybrid Intelligence (SoSe)
• Digital Life (SoSe)
• Digital Society and AI-based Systems (SoSe)

Prof. Dr. Milad Mirbabaie has been conducting intensive research in various domains since 2014. In recent years, he has mainly devoted himself to the research field of AI-based systems in organizations. In doing so, he has pursued the question of how information systems (in particular AI-based systems) are currently used by people. His research focuses in particular on the topics of human-AI collaboration, i.e. the way in which humans and machines interact with each other, or ethics & AI, the question of how ethics and artificial intelligence can be reconciled. His current research also deals with the impact of digital technologies on the future of work and new business models. He is investigating the influence of communication and collaboration systems on the behavior of people in the workplace and how this behavior can be changed through the design of information systems (digital assistants/digital nudging). Due to digitalization and the associated change in people, areas such as the future of work are also becoming increasingly relevant. In his current research, Prof. Mirbabaie is particularly concerned with topics relating to the concept of digital nomadism, a hyper-flexible working model, or the area of the digital workplace. Here, Prof. Dr. Mirbabaie works closely with other universities and, in particular, with companies and NGOs.

Social media and other technologies (such as virtual reality/augmented reality or wearables) play an important role or are becoming increasingly important in society, the economy, politics, the media landscape and in the formation of public opinion in general. This is happening at the level of individuals as well as organizations and society. In the field of social media analytics, Prof. Dr. Mirbabaie is particularly concerned with crisis management. Here, for example, he investigates how information systems (especially social media) can currently be used by people to carry out sensemaking and close existing knowledge gaps. In particular, he is interested in the collective behavior of people in damage situations.

Brünker, F., Marx, J., Mirbabaie, M., & Stieglitz, S. (2023). Proactive Digital Workplace Transformation: Unpacking Identity Change Mechanisms in Remote-First Organisations. 
Journal of Information Technology

Hofeditz, L., Clausen, S., Rieß, A., Mirbabaie, M., & Stieglitz, S. (2022). Applying XAI to an AI-based system for candidate management to mitigate bias and discrimination in hiring. 
Electronic Markets, 32(4), 2207-2233.

Mirbabaie, M., Stieglitz, S., & Marx, J. (2022). Digital detox. 
Business & Information Systems Engineering, 64(2), 239-246.

Trier, M., Kundisch, D., Beverungen, D., Müller, O., Schryen, G., Mirbabaie, M., & Trang, S. (2023). Digital Responsibility: A Multilevel Framework for Responsible Digitalization.
Business & Information Systems Engineering, 65(4), 463-474.

Mirbabaie, M., Bunker, D., Stieglitz, S., Marx, J., & Ehnis, C. (2020). Social media in times of crisis: Learning from Hurricane Harvey for the coronavirus disease 2019 pandemic response. 
Journal of Information Technology, 35(3), 195-213.

Mirbabaie, M., Brünker, F., Möllmann, N. R., & Stieglitz, S. (2022). The rise of artificial intelligence–understanding the AI identity threat at the workplace. 
Electronic Markets, 1-27.

Stieglitz, S., Mirbabaie, M., Möllmann, N. R., & Rzyski, J. (2022). Collaborating with virtual assistants in organizations: Analyzing social loafing tendencies and responsibility attribution. 
Information Systems Frontiers, 24(3), 745-770.

Frick, N. R., Mirbabaie, M., Stieglitz, S., & Salomon, J. (2021). Maneuvering through the stormy seas of digital transformation: the impact of empowering leadership on the AI readiness of enterprises. 
Journal of Decision Systems, 30(2-3), 235-258.

Mirbabaie, M., Stieglitz, S., & Frick, N. R. (2021). Hybrid intelligence in hospitals: towards a research agenda for collaboration. 
Electronic Markets, 31, 365-387.

Mirbabaie, M., Stieglitz, S., Brünker, F., Hofeditz, L., Ross, B., & Frick, N. R. (2021). Understanding collaboration with virtual assistants–the role of social identity and the extended self. 
Business & Information Systems Engineering, 63, 21-37.