B2B在线支付进化系统的信息基因测度模型  

Measure Model for Information Gene of B2B Online Payment Evolutionary System

作　　者：杨琦峰[1] 沈鑫[1] 宋平[1] 谢光萍[1] 王俊[1] 

机构地区：[1]武汉理工大学经济学院,湖北武汉430070

出　　处：《武汉理工大学学报（信息与管理工程版）》2011年第5期689-693,720,共6页Journal of Wuhan University of Technology：Information & Management Engineering

基　　金：国家自然科学基金资助项目(71073122);武汉理工大学自主创新研究基金人文社科重点资助项目(2010-lb-011)

摘　　要：针对现有B2B在线支付系统存在的局限性,缺乏有效协同运作机制的问题,基于协同论的序参量原理,发现参与者信息基因是决定B2B在线支付进化系统宏观有序性的微观序参量,构建了"身份特征值+信誉度"二维属性的参与者信息基因模型及有序度测度算法,讨论了B2B在线支付系统的协同进化问题。Each of the existing B2B online payment systems has its own limitation,and lack of an effective coordination mechanism for them.Based on the order parameter principle of synergy theory,participants′ information genes were found as micro order parameter which decided the macro orderliness of B2B online payment evolution system.A participant information gene model was established on ＂identity characteristics degree ＋reputation degree＂ two-dimensional attribute;and order degree measurement algorithm was proposed.Then the cooperation mechanism of the evolutionary B2B online payment system was discussed following the information gene model.

关 键 词：B2B在线支付进化系统 序参量 信息基因模型 协同性 

分 类 号：C931.96[经济管理—管理学]