Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
12-2019
Abstract
In response to the Fintech trend, an ongoing debate in the banking industry is how to design the new-generation interbank retail payment and settlement system. We propose a two-stage analytical model that takes into account the value-risk tradeoff in the new payment system design, as well as banks’ participation incentives and adoption timing decisions. We find that, as the system base value increases, banks tend to synchronize their investment and adoption decisions. When the system base value is low and banks are heterogeneous, bank association ownership maximizes social welfare. When both the system base value and bank heterogeneity are moderate, government mandate leads to the socially optimal solution. When the system base value is high and banks are relatively homogenous, government ownership is socially optimal. We offer important policy implications regarding the optimal system design and the government regulator’s role in shaping the banking industry in future financial innovation.
Discipline
Databases and Information Systems | E-Commerce | Finance and Financial Management
Research Areas
Data Science and Engineering
Publication
ICIS 2019 Proceedings: 40th International Conference on Information Systems, Munich, December 15-18
Publisher
AIS
City or Country
Illinois
Citation
GUO, Zhiling and MA, Dan.
Optimal design and ownership structures of innovative retail payment systems. (2019). ICIS 2019 Proceedings: 40th International Conference on Information Systems, Munich, December 15-18.
Available at: https://ink.library.smu.edu.sg/sis_research/4696
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
Databases and Information Systems Commons, E-Commerce Commons, Finance and Financial Management Commons