Study on Collaborative Arithmetic of Technology Support and Customer Visit of E-Business Website

While traditional e-business Website revenue research emphasizes customer marketing such as price adjustment and individuation service, it fails to consider the collaborative dimensions of technology support capability and customer visit quantity, their interactions with a system, Website revenue is a function of customer visit quantity, and technology support capability is the base of customer visit quantity, at the same time, it will also influences the Website´s cost and the QoS, and influences the revenue in the end. Our purpose is to find a collaborative arithmetic to maximize the revenue under a certain condition. Our research begins with a CBMG of a typical small-scale e-business Website, via the probability statistics of visit data; we get the relation of revenue and customer visit quantity, then we establish an QN model of the hardware structure by the queuing network theorem, via the analysis of QN model, we get the relation of technology support capability and customer visit quantity. Base on the two relations, we propose an intelligent optimization arithmetic to calculate the revenue, the calculating result can shows as a curve, and we can easy get the information of potential capability of revenue, customer quantity and the QoS from the curve. And all these information will help the Website´s manager to confirm the optimal customer quantity and the only hardware investment at a certain stage.