基于客戶群特點(diǎn)的電信運(yùn)營(yíng)商定價(jià)機(jī)理研究
[Abstract]:In 2008, the state reorganized the telecom market and formed the market pattern of the whole business operation of China Mobile, China Telecom and China Unicom. With the rapid development of domestic economy and the improvement of residents' income level, the consumption habits of major telecom customers and public groups have changed significantly, but the public customers of various telecom operators, The pricing methods of large customer groups are more and more unable to meet the requirements of the development of the situation. Therefore, it is necessary to study reasonable pricing mechanism based on the characteristics of existing customer groups to meet the needs of different consumer groups and market competition. This paper focuses on two groups of public customers and large customers. In the aspect of public customer group, we use the data mining method to mine the same consumer group at different time points under the fine molecular brand of the operator, and determine the characteristics of the public customer group showing the cluster consumption horizontally. Vertically, the common customer group presents the characteristics of demand transfer with the change of technology and external environment. Secondly, the improved repeated game model is used to find that, under the condition of complete information, Under the condition of incomplete information, the tolerance of both sides to time is the key to the pricing. The research on large customer group shows that the characteristics of large customer purchase are basically unchanged, so the bargaining mechanism based on third party agent is put forward, and the research is carried out from two angles of single attribute and multiple attribute. The negotiation mechanism based on the third party agent solves the disadvantages of the traditional negotiation process, such as price probing and information leakage, and improves the efficiency of the negotiation between the operators and the major customers. The research results show that the third-party agent platform can bring the price revenue to both parties and realize the Pareto optimal utility of both parties. This paper provides a systematic thinking and system pricing mechanism for telecom operator service pricing, which has certain application value.
【學(xué)位授予單位】:南京郵電大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2012
【分類號(hào)】:F626
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