
Ingrid Bauer
Researcher
Ingrid Bauer is a Phd Student at the Information Management Research Group at the University of Zurich since November 2017. Her research focuses on blockchain business models and data markets.
Ingrid worked on the innosuisse cardossier research project. She led the definition of the cardossier project’s business model for the used car market and worked on the design of the cardossier data market. She also acted as the Scrum master for the development team. Today, she is driving research activities in the resale workstream of the cardossier association.
Ingrid holds a BSc in information engineering and management from the Karlsruhe Institute of Technology and an MSc in information systems from the Copenhagen Business School.
Before her studies at UZH, Ingrid worked as Technology Consultant at PwC Germany.
Research Topics
Disclaimer: Researchers are members of the academic community of the University of Zurich with a strong interest in the area of blockchain. However, they are not formal members of the center and their listing does not mean that they have a formal employment within the UZH blockchain center.
Related Publication
Conference proceedings:
Exploring Blockchain Value Creation: The Case of the Car Ecosystem
52nd Hawaii International Conference on System Sciences (HICSS 2019), Maui, Hawaii, 8-12 January 2019. …
Read the full articleTo Token or not to Token: Tools for Understanding Blockchain Tokens
International Conference of Information Systems (ICIS 2018), San Francisco, USA, 12-16 December 2018. …
Read the full articleMore Publication :
- Ingrid Bauer, Liudmila Zavolokina, Fabian Leisibach and Gerhard Schwabe, 2020, Value Creation From a Decentralized Car Ledger Frontiers in Blockchain vol. 2 ISSN: 2624-7852 2020 Frontiers Research Foundation, DOIJournal Article
- Ingrid Bauer, Liudmila Zavolokina and Gerhard Schwabe, 2019, Is there a market for trusted car data? Electronic MarketsISSN: 1019-6781 2019 Springer DOI Journal Article
Related Teaching
- Information Management (Master)
- Supervision of Bachelor- / Master-Thesis in related areas