摘要
引入多主体建模方法对价格离散现象进行演化仿真研究,分析C2C市场下产品价格离散问题的起因、影响因子及效果度量,以突破其它研究在时间和空间上的限制.结合网络商家数量、商家信誉以及客户分类3个影响因子,建立C2C环境下产品价格离散演化模型,主要包括网络商家行为模型和客户行为模型.利用Repast对产品价格离散演化模型进行仿真,以客户记录历史购买决策次数为例探索不同参数值对产品价格离散结果的影响,为C2C市场管理者提高市场效率提供依据.
Product price dispersion is an important index to evaluate the efficiency of C2C market. However, the linear models appeared in former researches have some limitations to explain the phenomena of price dispersion. In this work, multi-agent modeling methodology is introduced to model and simulate the process of price dispersion in order to break the restrictions in times and spaces. Three key elements of cause, impact factor and affection measure were analyzed. The product price dispersion evolution model was proposed including business behavior model and customer behavior model that combines business quantity, business credit, and customer type. Repast platform was utilized to simulate the product price dispersion in C2C market, and the history decision times recorded by customer was used to discuss the affection of different index values on price dispersion. All the above work tends to offer a support for the C2C market manager to improve market efficiency.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2011年第9期1127-1130,共4页
Transactions of Beijing Institute of Technology
基金
国家自然科学基金资助项目(70802008)
北京市自然科学基金资助项目(9112011)
