Research On The Comprehensive Evaluation Model Of The "Economic Potential"Value Of Data Assets In Internet Enterprises

With the rapid development of information technology,emerging technologies such as big data,cloud computing,and artificial intelligence have been widely applied,and data is involved in all aspects of social production and life.As a key production factor in the digital economy era,data has become an important driving force for economic transformation and upgrading.Massive amounts of data are collected,stored,analyzed,and applied,becoming one of the most important assets of internet companies.Based on their massive cloud services and data resource systems,internet companies have constructed data trading platforms as the core means of circulation in the data element ecosystem.However,the valuation of data assets is still in the exploratory stage,and a unified data asset valuation system is lacking.Therefore,exploring a scientific,reasonable,comprehensive,and effective data asset valuation system and method is urgently needed to maximize the value of data assets in a safe and reliable environment.The core issue of this thesis is the valuation of data assets in internet companies.By reviewing and summarizing relevant studies on data assets and internet companies,this thesis clarifies the definition and characteristics of data assets in internet companies,analyzes and compares the applicability and advantages and disadvantages of existing methods for valuing data assets,and from the perspective of the data value chain,dissects the mechanism for creating value from data assets in internet companies and its value composition,explaining the applicability of the residual income method for economic valuation of enterprise data assets and the least squares Monte Carlo simulation method in the physical option model for assessing the potential value of enterprise data assets.Based on this,a comprehensive and effective evaluation model for the "economic-potential" value of data assets in internet companies is constructed,the parameter values involved in the comprehensive evaluation model are determined,and the out-of-balance asset income sharing rate,i.e.,the data asset income sharing rate,is determined using the analytic hierarchy process to make the evaluation results more comprehensive and objective.To verify the operability and effectiveness of the evaluation model,Tencent Holdings,an internet giant,is selected for empirical analysis of the evaluation model.The results show that the value of Tencent Holdings’ data assets on December 31,2022,was 183.461 billion yuan,accounting for 6.42% of the total market value.Through this thesis,the following conclusions are drawn:(1)Because data assets have dynamism,non-consumption,integration value-added,sharing,and heterogeneity,a single traditional valuation method cannot comprehensively and effectively evaluate the value of data assets,resulting in the risk of undervaluing data asset value.The "economic-potential" value evaluation model for valuing data assets in internet companies,on the one hand,helps internet companies accurately grasp the value of their own data assets and improve resource allocation efficiency,and on the other hand,helps the internet better understand the potential value of data assets,thus providing better strategic guidance and decision-making support for the development of enterprises.(2)Through in-depth analysis of the mechanism for creating value from data assets in internet companies,a hierarchical structure model for the contribution of out-of-balance asset income in internet companies is constructed,and the analytic hierarchy process is used to determine the contribution rate of data asset value,effectively separating data asset value from the composition of out-of-balance assets.This provides new ideas and inspiration for solving the problem of quantifying the value of data assets and makes the valuation of data assets in internet companies feasible.