Secondary Pricing Of Third-party Booking Website Based On Grey Markov

Since the reform and opening-up policy, the economics of Chinese develops rapidly, and travel by air become a concentrated way in choosing. With the popularization of electronic commerce, increasing number of people choose to book air tickets on the internet. Based on these reasons, a large number of booking websites appeared, which include the third-party ticket-booking websites in retail trader mode( e.g.Ctrip,e Long,9588.com) and vertical search engine mode websites(e.g.Qunar.com). At the same time, direct sales websites were put forward by airline companies. At present, those booking websites will give up different profit point based on different customer in different time. The last ticket price has some influence factors like the different time, different customers, the competitions, the profits and so on.Along with the competition intensifying, twice-pricing issue of the third-party ticket-booking website become the key factor to win competitive advantage. The purpose of this paper is to build a pricing to achieve the business objectives of the enterprise. This study based on the theory of economics theory and pricing theory to analyzes the twice-pricing model for effect factors of third-party ticket-booking websites. After describing these factors by qualitative research and study on measurement, build the twice-pricing model of third-party ticket-booking websites, in order to provide advises for maximize profit and market share maximization. This paper makes empirical test basic on the physical truth of company A; calculates the total market sales basic on Grey-Markov model; makes regression analyses the relationship between price and market share to make the price finally. And shows the decision makes concentrated reference significance.This paper analyses the twice-prizing issue of the third-party ticket-booking websites in competitors` view, researching the influence factor of twice-pricing by qualitative research and study on measurement, and construct the model of twice-pricing base on Profit and market shares Maximization. The Core Concepts of this paper is the model of twice-pricing, the difficult point is how to calculate the total market sales by Grey-Markov model. This model show its convenience because the data inputs of the model is objective. On the other hand, the models can be pricing according to the real-time price without long-term investigation. with the accumulation of data, the model could be optimized Automatically.