Author_Institution :
Sch. of Manage., Wuhan Univ. of Technol., Wuhan, China
Abstract :
In C2C e-commerce, the gap between the initial credit value of new traders and average credit value in market is too large and continues to become larger. It has led to the phenomenon of "brush credit" generated. By constructing three different market models and simulating on swarm platform, we reach conclusions: the effect of punishment to the market is limited; under supervision (rate less than 1), the "Brush credit", to some extent, is able to facilitate market transactions and profits mounting. With the increasing of market profits, "Brush credit" number will decline, but it will not completely disappear; new traders receive a certain credit value though some methods, and can encourage new traders faster into trading, faster reduction in the number of "Brush credit", but still can not completely eliminate it.
Keywords :
electronic commerce; multi-agent systems; C2C e-commerce; brush credit; credit value; market profit; swarm platform; Biological system modeling; Brushes; Computational modeling; Consumer electronics; Data models; Mathematical model; Observers; "Brush credit"; "reputation"; C2C e-commerce; Multi-Agent; swarm simulation;