Insured? Good! : Designing a Blockchain-based Credit Default Insurance System for DeFi Lending Protocols

Title data

Guggenberger, Tobias ; Kuhn, Michael ; Schellinger, Benjamin:
Insured? Good! : Designing a Blockchain-based Credit Default Insurance System for DeFi Lending Protocols.
In: Proceedings of the 4th Middle East & North Africa Conference for Information System (MENACIS). - Agadir, Morocco , 2021

Official URL:

Abstract in another language

The rising popularity of blockchain has cleared
the path for developing numerous decentralized finance (DeFi) applications. However, insurance solutions for DeFi applications are still missing. Therefore, this article presents a smart contract-based P2P
credit default insurance solution using the Design Science Research Method. The design presents an approach to decentralize insurance systems by reducing
the number of intermediaries. The evaluation of the artifact shows that blockchain and smart contracts can
provide financial inclusion, reduce costs and automate
processes in insurance processes.

Further data

Item Type:	Article in a book
Refereed:	Yes
Keywords:	Decentralized Finance; Design Science; Digital Finance; Token
Institutions of the University:	Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management Faculties Faculties > Faculty of Law, Business and Economics
Result of work at the UBT:	Yes
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Date Deposited:	27 Jan 2022 09:35
Last Modified:	23 May 2022 12:13
URI:	https://eref.uni-bayreuth.de/id/eprint/68522