An agent-based model of interactions in the payment card market

Biliana Alexandrova-Kabadjova, Andreas Krause, Edward Tsang

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

We develop an agent-based model of the competition between payment cards by focusing on the interactions between consumers and merchants determining the subscription and usage of cards. We find that after a short period of time the market will be dominated by a small number of cards, even though there do not exist significant differences between cards and the market is fully competitive. In contrast to the existing literature we focus on the dynamics of market shares and emergence of multi-homing rather than equilibrium outcomes.
Original languageEnglish
Title of host publicationIntelligent Data Engineering and Automated Learning - IDEAL 2007
EditorsH Yin, P Tino, E Corchado, W Byrne, X Yao
PublisherSpringer
Pages1063-1072
Number of pages10
Volume4881
DOIs
Publication statusPublished - 2007

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag

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    Alexandrova-Kabadjova, B., Krause, A., & Tsang, E. (2007). An agent-based model of interactions in the payment card market. In H. Yin, P. Tino, E. Corchado, W. Byrne, & X. Yao (Eds.), Intelligent Data Engineering and Automated Learning - IDEAL 2007 (Vol. 4881, pp. 1063-1072). (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-540-77226-2_106