| With the rapid development of China’s digital economy,the importance of big data has become increasingly prominent,becoming an important asset for enterprises to improve operational efficiency,adjust decision-making programs and analyze strategic layouts,and is also an inseparable part of their daily operations.However,China’s research on the valuation of big data assets is not yet mature,and it lacks a comprehensive and systematic value evaluation system.In this context,this dissertation systematically studies the valuation method of big data asset value based on the B-S model adjusted and modified by the share rate,which has important application value for the development of big data asset value assessment in China.In this dissertation,the analytic hierarchy method,the revenue share ratio method and the B-S option pricing method are used to study the problem of valuation of big data assets.The purpose of this dissertation is to assess the value of big data assets based on the adjustment and revision of the B-S model of the share rate.The research of this dissertation is mainly divided into four parts,the first part is chapters1 to 2 of this dissertation,which systematically introduces the research background,research significance,research methods and research ideas of this dissertation,organizes and analyzes the relevant literature and analyzes the theoretical basis of this dissertation.The second part is Chapters 3-4 of this dissertation,which analyzes the value composition of big data assets and studies the applicability of traditional valuation methods and innovative valuation methods,and introduces the selection of valuation methods in this dissertation.The basic step of the process is to evaluate the overall value of the company with a modified B-S model,and then calculate the revenue sharing rate of the big data assets,and then multiply the overall value of the company and the revenue sharing rate to obtain the valuation value of the big data assets.The third part is a case study in Chapter 5 of this article,which combines Yonyou data to test the applicability of the big data asset valuation process designed in this article.Part IV,Chapter 6 of the article,summarizes the full text and makes relevant policy recommendations.The main research conclusions of this dissertation include the following two points: First,big data assets have unique valuable attributes and characteristics,compared with the traditional valuation method,the B-S model based on the adjustment and correction of the share rate introduced in this dissertation has strong applicability and popularization value in actual evaluation.Second,when using a modified B-S model to measure the value of an enterprise,parameters such as the current value of the underlying asset,the strike price and the risk-free interest rate should be revised;When adjusting the share rate,attention should be paid to establishing a suitable indicator system and evaluating the reliability of the share rate in combination with set value statistics.In this dissertation,the revised B-S model and the revenue share rate adjustment method are effectively combined to evaluate the value of big data assets,which is innovative in the research method.In this dissertation,the analytic hierarchy method,the revenue share ratio method and the set value statistics method are used to study the problem of valuation of big data assets.The purpose of this thesis is to assess the value of big data assets based on the adjustment and revision of the B-S model of the share rate.The main research content of this article is divided into three parts.First,the corporate value of Yonyou was evaluated using a modified B-S model.In the evaluation process,fuzzy mathematical methods are introduced to correct the parameters involved in the model,and the single parameter value is converted into an interval value,so that the evaluated value falls into the interval,which improves the accuracy of the assessment.Second,the revenue sharing ratio method is used to measure the proportion of the value of big data assets in the value of the enterprise.Among them,in the process of calculating the revenue share rate,it is divided into three components.The first is to use the analytic hierarchy method to construct an indicator system and calculate the required combined weights.Second,the reliability of the revenue share ratio is assessed by expert evaluation,and the reliability of the experts on the evaluation results is obtained by calculating the confidence level.The weights of the above calculations and the comprehensive evaluation of the indicators by experts are substituted into the formula to calculate the adjustment coefficient of the revenue share rate of big data assets.Synthesize the parameters and data obtained above to obtain the revenue sharing ratio of big data assets.Finally,this thesis uses the improved B-S pricing model to evaluate the enterprise value of Yonyou,and the result is multiplied by the revenue sharing rate of Yonyou’s big data assets,and finally the appraisal value of big data assets is obtained.At the same time,this thesis also compares the value of big data assets calculated by the free cash flow discount model with the value of big data assets calculated by the model in this thesis,and draws conclusions based on the feasibility and accuracy of the B-S pricing model based on the adjustment and correction of the share rate.The main research conclusions of this thesis include the following three points.First,big data assets have unique attributes and characteristics,if the traditional valuation method is still applied,it is impossible to accurately provide the valuation value of big data assets,and it is necessary to explore new methods suitable for the valuation of big data assets.Second,compared with the traditional evaluation method,the B-S model based on the adjustment and correction of the share rate introduced in this dissertation has strong applicability in the actual evaluation.Third,when using the modified B-S model to estimate the value of an enterprise,parameters such as the current value of the underlying asset,the strike price,and the risk-free interest rate should be revised.When adjusting the share rate,attention should be paid to establishing a suitable indicator system and evaluating the reliability of the share rate in combination with set value statistics. |
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