Manufacturer's Pricing Strategies in the Context of Big Data Based on Evolutionary Game Model
This paper focuses on constructing a bi-group evolutionary game model for manufacturers'pricing strategies under the big data background.The evolutionary strategiesand influencing factors of the manufacturers'pricing strate-gies to stable prices have been analyzed.The results of the research show that when the protection of personal informa-tion is strong enough,manufacturers are more inclined to choose the extension pricing strategiesas long as there is a given pricing strategy.Conversely,manufacturers are inclined to choose discriminatory pricing strategies.When the protection of personal information is moderate,the evolution of manufacturers'pricing strategies is related to the cost of customization,the cost of information collection,and the technological gap between manufacturers.Otherwise,the gap between variable cost and quality cost in two manufactures,and the protection level of personal information would both influence the system evolution by affecting the basin or domain of attraction on the evolutionary stable strategy.When the mixed equilibrium point exists,the point value is also affected by the information search cost per unit,the customi-zation cost per unit and etc.Due to the complexity of analysis,the relevant influencing mechanism needs to be further explored.
big dataextension pricingdiscriminatory pricingevolutionary game theory
万方数据
维普
