| In recent years,with the introduction of related concepts such as the Internet,the metaverse,cloud computing,and blockchain,the digital economy has become the endogenous driving force for a new round of technological revolution and high-quality development of enterprises.In order to seize this new opportunity,central departments have successively issued relevant support policies.The State Intellectual Property Office issued the Guidelines for the Utilization of Basic Intellectual Property Data,which aims to encourage enterprises to strengthen the development of data intellectual property rights."Industrial Internet Conference" emphasized that it is necessary to continue to promote the confirmation and management of data,and to smooth the transaction and circulation of data between economic entities.In response to the central government’s call,local governments have also issued relevant policies.For example,in order to better guide data transactions,Tianjin issued the "Interim Measures for the Administration of Data Transactions(Draft for Comment)",and in order to make better use of data as a production factor,Shenzhen,issued the "Shenzhen Special Economic Zone Data Regulations(Draft for Comment)".The rapid development of the data economy has prompted enterprises to carry out digital transformation,and data assets have become an important asset of Internet companies.However,at present,the development of data assets is in the pioneering stage.The research on data assets in academia is more focused on the measurement and attributes of data assets,and there is little research on the valuation of data assets.The accurate valuation of data assets can not only promote the management and application of enterprise data assets,but also help accelerate the market construction of data assets and promote the value transformation of data assets.Therefore,the research on the valuation of enterprise data assets is of practical significance.After sorting out the relevant literature,this paper deeply analyzes the theory of the definition,attribution,value influencing factors,and value composition of data assets.The value dependence and value ambiguity of data assets are quite similar to the characteristics of goodwill.Therefore,this paper uses the excess return method of goodwill valuation to evaluate the value of enterprise data assets.When using the excess return method to evaluate enterprise data assets,it is difficult to measure relevant indicators.Therefore,this paper explores the use of AHP to determine the proportion of data assets in the excess returns of enterprises,so as to determine the past income of data assets,and then use The grey forecast model predicts the future income of data assets,selects the appropriate discount rate and income period,and finally builds a set of excess return models suitable for data asset valuation.Finally,the article selects the Internet game company Sanqi Interactive Entertainment as a case company,uses the improved model above to evaluate the company’s data assets,and explains and analyzes the evaluation results.From the perspective of excess income,this paper takes the amount of income created by data assets for enterprises as the standard to measure the value of data assets,explores the evaluation method of data assets value of Internet game enterprises,and provides a new idea for data asset valuation.To a certain extent,the value evaluation system of my country’s data assets has been improved. |
