Authors:
Zheng Jianya
1
;
Li Weigang
1
and
Daniel L. Li
2
Affiliations:
1
University of Brasilia, Brazil
;
2
Coleman Research Group, United States
Keyword(s):
Asymmetric Competition, Cost of Changing Strategies, E-marketplace, Evolutionary Game Theory.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Computational Intelligence
;
Enterprise Information Systems
;
Evolutionary Computing
;
Game Theory Applications
;
Group Decision Support Systems
;
Soft Computing
;
Strategic Decision Support Systems
Abstract:
The current e-marketplace provides many tools and benefits that bring sellers and buyers together, and promote trading within cyberspace. And due to certain unique features of e-commerce, the competition also takes on characteristics different from those found in traditional commerce. This paper analyses both the competition between sellers, and the stable state in e-marketplace through a proposed model that applies evolutionary game theory. The purpose is to better understand these relations and the current state within e-marketplace, as well as provide a tool for sellers to increase their profits. Here, the sellers are divided into four categories based on their scale (Large, Small) and sales strategy (Aggressive, Conservative). By developing Asymmetrical Competition Game Model in E-Marketplace (ACGME) in Nash Equilibrium, we analyze the composition of different sellers and how this proportion is affected by asymmetry among sellers. Finally, we conduct a simulation experiment to ve
rify the effectiveness of our proposed model.
(More)