Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Model of multi-agent interaction between financial service providers and consumers. / Malafeyev, Oleg; Zaitseva, Irina; Shkrabak, Vladimir; Shkrabak, Roman; Onishenko, Vladislav.
International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. ed. / Theodore E. Simos; Charalambos Tsitouras. American Institute of Physics, 2020. 420020 (AIP Conference Proceedings; Vol. 2293).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Model of multi-agent interaction between financial service providers and consumers
AU - Malafeyev, Oleg
AU - Zaitseva, Irina
AU - Shkrabak, Vladimir
AU - Shkrabak, Roman
AU - Onishenko, Vladislav
N1 - Funding Information: The work is partly supported by work RFBR No. 18-01-00796 Publisher Copyright: © 2020 American Institute of Physics Inc.. All rights reserved. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/11/24
Y1 - 2020/11/24
N2 - Digital retail payments have evolved during the last years mostly due to technology innovations. New actors enter the payments market, increase competition and threaten banks' dominance. Consumers' behavior is critical within this context, since they are the ones that 1 finally adopt or reject a payment innovation. In this paper we propose a model of consumer behavior towards payment system selection based on multi-agent simulation. It is based on a multi-agent platform that models' consumers as intelligent agents and formats their behavior according to the rules extracted from past payments data, experts' knowledge and marketing research. Contributions from the social science and network economics also refine the agent's behavior in order to simulate accurately the domain. This paper presents the overall model and an initial analysis of payments domain, defining major actors in the domain and their interpretation to agents.
AB - Digital retail payments have evolved during the last years mostly due to technology innovations. New actors enter the payments market, increase competition and threaten banks' dominance. Consumers' behavior is critical within this context, since they are the ones that 1 finally adopt or reject a payment innovation. In this paper we propose a model of consumer behavior towards payment system selection based on multi-agent simulation. It is based on a multi-agent platform that models' consumers as intelligent agents and formats their behavior according to the rules extracted from past payments data, experts' knowledge and marketing research. Contributions from the social science and network economics also refine the agent's behavior in order to simulate accurately the domain. This paper presents the overall model and an initial analysis of payments domain, defining major actors in the domain and their interpretation to agents.
UR - http://www.scopus.com/inward/record.url?scp=85097973305&partnerID=8YFLogxK
U2 - 10.1063/5.0026852
DO - 10.1063/5.0026852
M3 - Conference contribution
AN - SCOPUS:85097973305
T3 - AIP Conference Proceedings
BT - International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019
A2 - Simos, Theodore E.
A2 - Tsitouras, Charalambos
PB - American Institute of Physics
T2 - International Conference on Numerical Analysis and Applied Mathematics 2019, ICNAAM 2019
Y2 - 23 September 2019 through 28 September 2019
ER -
ID: 72678562