Prof. Dr. Jens Foerderer’s (*1989) research seeks to support managers in creating value with digital technologies, particularly by providing empirical evaluations. His research field is information systems, especially digital platforms, multi-sided markets, and ecosystem-based business models, network effects, data-driven business models, monetization of digital content, as well as the economics of privacy.
His research has been published in the leading journals of the field, including multiple times in Management Science and Information Systems Research. His research has received several awards, including the INFORMS Information Systems Research Best Paper of the Year Award. Jens Foerderer’s work is funded by several organizations, including the German Research Foundation (DFG). He serves as reviewer for leading scientific journals as well as funding organizations, including Management Science and the German Research Foundation (DFG), as Associate Editor for Business and Information Systems Engineering (BISE), and as expert for the media and organizations, including Handelsblatt, ZEIT and acatech. He serves as reviewer for leading scientific journals as well as funding organizations, including Management Science and the German Research Foundation (DFG), as Associate Editor for Business and Information Systems Engineering (BISE), and as expert for the media and organizations, including Handelsblatt, ZEIT and acatech.
Jens Foerderer studied Business and Information Systems at the University of Mannheim (B.Sc. 2011, M.Sc. 2013). Graduate studies at the Graduate School of Economic and Social Sciences (GESS) as well as Research and Teaching Assistant at the University of Mannheim and the software company SAP. Graduation with a Dr. rer. pol. (business) in 2017, University of Mannheim. Thereafter, Assistant Professor (no tenure track / Habilitand) at the University of Mannheim. Since 2019 Assistant Professor (tenure track) at the Technical University of Munich.
My team and I investigate how firms can profit from digital technologies, especially by using multi-sided platform business models. Our research has contributed to understanding challenges regarding the design, launch, and management of digital platforms and ecosystems, competition within and between ecosystems, monetization, network effects and incentives for participation. Beyond, our research has helped understand social and economic implications of platforms, including hate speech, misinformation, fake news, market power, and competition.
For firms, profiting from digital technologies requires the strategic use of data, which can be—from a welfare perspective—in a conflict with individuals’ desire for privacy. As part of this research topic, my team and I are studying how firms can profit from consumer data, as well as the critical success factors necessary for monetizing data.
From a broader angle, our research also investigates the implications of privacy regulations for firm outcomes. This includes, for instance, understanding how stricter privacy regulations affect firms’ degree of product innovation. Last, we are interested in firms’ strategic behavior with regards to privacy regulations. For example, our research has documented that firms strategically time the announcement of data breaches to receive less news coverage.