Research On My Country's Big Data Transaction Model

The concept of "big data" was first proposed by Alvin Toffler who is a famous American futurist in 1980.With the rapid development of information technology,people are no longer unfamiliar with "big data".Since 2013,the development of domestic big data industry has entered a blowout era.Big data is a special kind of commodity.There are huge economic value and social benefits in it.Some big data products have been successfully traded interiorly and overseas,but the global big data transaction has a small scale and low transaction efficiency.In recent years,China has successfully issued a series of policies to support the development of big data industry.Among these policies,there are some policies which support big data transaction.Under such a background,it's necessary to study domestic big data trading model to provide some theoretical and practical support for the development of big data trading.By studying the literature about big data trading model,privacy protection,property rights and pricing,main research ideas of the paper are determined:in big data privacy protection,property rights and pricing,the paper makes some comparative analyses between the business big data model and the government big data model.This paper holds that the business big data transaction model is more mature than the government big data transaction model in technologies,systems and laws of privacy protection.Three factors can impact the ownership of big data property,like the source of big data,the contribution of generating big data products by rights subjects and related obligations of rights subjects.Big data source parties,collection parties,preprocessors,analysis parties,buyers,feedback parties and final disposal parties have different completeness in ownership,the right to use,the right to control and the right to gain.In big data pricing,the paper points out that supply and demand equilibrium price can be used as theoretical basis of big data pricing theory.It also points out that the public benefit principle of the product pricing can be used as the pricing principle for current government big data.When the government big data market matures,the break-even principle of the public products pricing can be used as the pricing principle for government big data.Big data pricing strategies are mainly divided into six categories:platform reservation pricing,platform automatic pricing,buy-sell agreement pricing,seller auction pricing,seller bundle pricing,and buyer free pricing.Then the paper put forward a set of big data pricing indexes which contain big data basic pricing indexes and adjusting pricing indexes.Big data basic pricing indexes contain manpower,material resources and transaction commission indexes.Adjusting pricing indexes contain big data products,historical transaction price and data utility indexes.At last,the paper points out that big data transaction model has three problems,like lacking effective profit pattern,having a low transaction efficiency and having a unsound transaction feedback mechanism.To solve these problems,the paper comes up with some solutions,like encouraging analysis products trading,formulating relevant standards of trading and improving the feedback mechanism.