Evolutionary learning of the optimal pricing strategy in an artificial payment card market
Alexandrova-Kabadjova, B., Tsang, E. and Krause, A., 2008. Evolutionary learning of the optimal pricing strategy in an artificial payment card market. In: Brabazon, A. and O'Neill, M., eds. Natural Computing in Computational Finance. Springer, pp. 233-251. (Studies in Computational Intelligence; 100/Part III)
Related documents:This repository does not currently have the full-text of this item.
You may be able to access a copy if URLs are provided below.
This chapter introduces an artificial payment card market in which we model the interactions between consumers, merchants and competing card issuers with the aim of determining the optimal pricing structure for card issuers. We allow card issuers to charge consumers and merchants fixed fees, provide net benefits from card usage and engage in marketing activities. The demand by consumers and merchants is only affected by the size of the fixed fees and the optimal pricing structure consists of a sizeable fixed fee to consumers, no fixed fee to merchants, negative net benefits to consumers and merchants as well as a high marketing effort.
|Item Type||Book Sections|
|Creators||Alexandrova-Kabadjova, B., Tsang, E. and Krause, A.|
|Editors||Brabazon, A.and O'Neill, M.|
|Departments||School of Management|
Actions (login required)