According to the overall asset status, the profitability and the economic environment, enterprise value evaluation is a comprehensive assessment of the overall fair market of the enterprise. Different enterprises have different nature and assessment targets, a suitable method should be chosen for assessment of different enterprise characteristics. The traditional methods of enterprise value evaluation can be summarized as three basic types: the cost methods, the marketing method and the revenue method. Different from traditional enterprise, internet enterprise is defined as the knowledge-intensive enterprise, whose enterprise value has a very typical light asset structure. A new enterprise value evaluation method should be raised for internet enterprises. In this paper, a complete and comprehensive assessment system based on fuzzy mathematics and analytic hierarchy process (AHP) has been raised for internet listed enterprise value. The assessment system put forward five general indicators to assess the overall value of target enterprise, including the own value of enterprise, strategic core, product design and service, financial status and potential value. All indicators are divided into two classes: quantitative group and qualitative group. The weight coefficients of quantitative group are determined by data collection and the qualitative group weight coefficients are determined by expert scoring method. Considering all the indicators having different units, extreme method has been used for non-dimension and the indicators can be compared between each other. Every enterprise has a score which can re-present one’s own status in the whole internet industry which depends on the whole value of the five different indictors. The stock value of every internet enterprise can be estimated by the comprehensive score and the otherness between the different results from different value methods can be compared.
In recent years, many enterprises based on internet have reached a high-speed economic development period and obtain a pivotal position in the entire capital market. As the main representatives of the new economy, internet enterprises have acquired the strong momentum of development especially in the NASDAQ market in the United States and the Shanghai and Shenzhen domestic market. On one hand, differ from the traditional enterprises, the internet enterprises have the unique profit model, the different development regularity. On the other hand, the internet enterprises are better than the traditional enterprises about the innovation and the market strain capacity. Last but not the least, a reasonable prediction on the economic value is the premise condition for a healthy enterprise. Therefore, in this economic environment, the research about how to evaluate Internet companies and avoid the second internet bubble economy has a high practical value.
In this paper, the study samples are consist of twenty three Chinese internet enterprises from the NASDAQ stock market. The indictors like continuous innovation, corporate culture are analyzed by Delphi quantitative method, which means that a review group consist of ten authoritative experts should learn more about the target enterprise and give it a score [
In the process during the internet enterprise evaluation, financial data shouldn’t be the only reference standard for the enterprise value, the indictors can’t overly dependent on the stable indictor system and the weight can’t excessively rely on the subjective ideas of experts [
Value of internet enterprise | Indictors | Secondary indictors |
---|---|---|
Self-value (A) | Company culture (a1) | |
Brand influence (a2) | ||
Staff education (a3) | ||
Strategic core (B) | Monthly page views (b1) | |
Market share (b2) | ||
Product design and service (c) | Customer flow (c1) | |
retention time (c2) | ||
User stickiness (c3) | ||
Page views (c4) | ||
Continuous innovation (c5) | ||
Financial status (D) | Income (d1) | |
Net cash flow (d2) | ||
Wool yield (d3) | ||
Potential value (E) | Gross margin (e1) | |
Total revenue growth rate (e2) | ||
Stock returns (e3) |
In this paper, all the indictors have been divided into two groups: the quantitative indictors and the qualitative indictors. The quantitative indictors in this paper means the evaluation indictors can be characterized and calculated directly and the data can be collected from the enterprise financial statements. The qualitative indictors represent that the data can’t be found from related financial accounts of the target enterprises. The weight of quantitative indictors can be calculated by specific data process, however, the qualitative indictors should be treated quantitatively before comparing the differences.
All the indictors should be quantified first before fuzzy comprehensive assessment. To feedback the weight, Delphi method has been used to quantify the qualitative indictors. All the evaluation grades are range from level 1 to level 5 and value of each grade are represented by V1, V2, V3, V4 and V5. All the indictors should be scored by ten authoritative experts who learn more about internet enterprise evaluation and the vote number of every level are record by N1, N2, N3, N4, and N5 [
Index = ( V 1 N 1 + V 2 N 2 + ⋯ + V 5 N 5 ) / 10
For example, during the judge of one qualitative indictor, there are two experts score it level 1, three experts score it level 2, four experts score it level 3, and only one expert score it level 4. Then the membership degree can be determined: U = {0.2, 0.3, 0.4, 0.1, 0}. To obtain the qualified results and each grade has been represented by specific value: V = {V1, V2, V3, V4, V5} = {1, 0.8, 0.6, 0.4, 0.2}. The result can be expressed by the index: Index = U1V1 + U2V2 + ・・・ + U5V5 = 0.72. It means that value 0.72 can be equal to the importance of the qualitative indictor after consistency test.
In this paper, all the indictor weight are determined by analytic hierarchy pro- cess (AHP) and all the quantitative treatments are on the basic of Delphi method [
The principle of the selection of target enterprises includes many aspects like the research samples must cover different types of internet enterprises, the valuation error result from the exchange rate and the time difference must be avoid and the samples must be provided with the reliability and the universality. The samples in this paper have obtained electricity, news, video, instant messaging tools, dating social and so on. Secondly, the samples are all have a certain market position and business history and the financial data are credible. In conclusion, twenty-three Chinese internet enterprises listed in the United States have been
Value of internet enterprise | Indictors | Weight | Secondary indictors | Weight |
---|---|---|---|---|
Self-value (A) | Aw = 0.15 | Company culture (a1) | aw1 = 0.64 | |
Brand influence (a2) | aw2 = 0.26 | |||
Staff education (a3) | aw3 = 0.10 | |||
Strategic core (B) | Bw = 0.27 | Monthly page views (b1) | bw1 = 0.25 | |
Market share (b2) | bw2 = 0.75 | |||
Product design and service (c) | Cw = 0.37 | Customer flow (c1) | cw1 = 0.10 | |
retention time (c2) | cw2 = 0.04 | |||
User stickiness (c3) | cw3 = 0.29 | |||
Page views (c4) | cw4 = 0.06 | |||
Continuous innovation (c5) | cw5 = 0.51 | |||
Financial status (D) | Dw = 0.13 | Income (d1) | dw1 = 0.14 | |
Net cash flow (d2) | dw2 = 0.43 | |||
Wool yield (d3) | dw3 = 0.43 | |||
Potential value (E) | Ew = 0.08 | Gross margin (e1) | ew1 = 0.14 | |
Total revenue growth rate (e2) | ew2 = 0.72 | |||
Stock returns (e3) | ew3 = 0.14 |
chosen as the research samples. According to the quantitative treatment that the qualitative indictors of all the research samples have been processed by Delphi method. The quantitative indictors like retention time, page views and customer flow can be queried on the websites. Every indictor has been processed and every research sample has been analyzed [
As shown in
Enterprise name | Enterprise culture | score | Standard score | ||||
---|---|---|---|---|---|---|---|
A | B | C | D | E | |||
SINA | 0.9 | 0.1 | 0 | 0 | 0 | 98 | 0.975 |
NTES | 0.9 | 0.1 | 0 | 0 | 0 | 98 | 0.975 |
SOHU | 1 | 0 | 0 | 0 | 100 | 1 | |
BIDU | 1 | 0 | 0 | 0 | 0 | 100 | 1 |
GAME | 0 | 0 | 0 | 0.1 | 0.9 | 22 | 0.025 |
Giant | 0 | 0 | 0 | 0.1 | 0.9 | 22 | 0.025 |
NCTY | 0 | 0 | 0 | 0 | 1 | 20 | 0 |
CYOU | 0.3 | 0.6 | 0.1 | 0 | 0 | 84 | 0.8 |
PWRD | 0 | 0.1 | 0.6 | 0.3 | 0 | 56 | 0.45 |
CTRP | 0.1 | 0.7 | 0.2 | 0 | 0 | 78 | 0.725 |
JRJC | 0 | 0 | 0 | 0 | 1 | 20 | 0 |
LONG | 0 | 0.3 | 0.6 | 0.1 | 0 | 64 | 0.55 |
JOBS | 1 | 0 | 0 | 0 | 0 | 100 | 1 |
KZ | 0 | 0 | 0 | 0.8 | 0.2 | 36 | 0.2 |
KUTV | 0 | 0 | 0 | 0 | 1 | 20 | 0 |
SFUN | 0.3 | 0.6 | 0.1 | 0 | 0 | 84 | 0.8 |
YOKU | 0 | 0.1 | 0.8 | 0.1 | 0 | 60 | 0.5 |
QIHU | 0 | 0 | 0.2 | 0.6 | 0.2 | 40 | 0.25 |
RENN | 0 | 0 | 0 | 0.3 | 0.7 | 26 | 0.075 |
DATE | 0 | 0 | 0 | 0 | 1 | 20 | 0 |
FENG | 0 | 0 | 0 | 0.7 | 0.3 | 34 | 0.175 |
TAOM | 0 | 0 | 0 | 0.7 | 0.3 | 34 | 0.175 |
NQ | 0 | 0 | 0 | 0 | 1 | 20 | 0 |
the final scores are fall into (0, 1), and the difference of culture among all the research samples can be compared with each other. As shown in
The brand influence can reflect the degree of recognition. Through the page level PR value from the side to respond to the object of the enterprise popularity. The PR value range from 0 to 10. The greater the PR value, the more popular the enterprise. Usually, if the PR value less than 2 then the enterprises are not popular, however, when the value greater than 7 then the enterprises are very popular. In addition, the PR value of research samples can be found on the internet.
The brand influence can affect the customer flow and the potential development value directly. As shown in
The employee education level can reflect the professional degree and knowledge accumulation level the whole internet enterprise. The employees can be divided into bachelor, master, doctorate and turtles. The weight are respectively 1, 3, 4 and 5.
The employee education can reflect the ability of the enterprise to solve the difficulties and the technical content of one’s main products. As shown in
With the development of the internet, the internet enterprises have a great breakthrough development in time and space and a more complex and larger customer volume. The market share of internet enterprise can be expressed by the characteristics of customs [
user amount, the residence time and the loyalty of users have been chosen to reflect the characteristics of custom and all the data can be obtained from the Alexa website. As shown in
As shown in
can be divided into research capabilities, management capabilities and organizational capabilities. The research capabilities can increase the value and the performance of internet enterprises. Besides, the management capabilities and organizational capabilities can also affect the resource allocation and the enterprise value. All the internet enterprises should pay more attention to the innovation enhance and diffusion.
Standardization score summary of the internet enterprise evaluation index.
The weight of self-value, strategic core, product design and service, financial status and potential value is respectively 0.15, 0.27, 0.37, 0.13 and 0.08. In this paper, the customer characteristic, the financial status, the sustained competitiveness and the potential value have been analyzed and compared. As a kind of knowledge intensive enterprises, the Internet enterprises should pay more attention to the adjustment of light assets. Each research sample has been studied and the comprehensive score has been calculated. According to the scores, all the stock prices can be evaluated by the composite method [
The comprehensive method for enterprise value assessment is very similar to the market method. Besides, PB method and PE method are the most popular in marketing methods [
SAMPLES | self-value | strategic core | product design and service | financial status | potential value | Comprehensive scores |
---|---|---|---|---|---|---|
SINA | 0.975 | 0.1741 | 0.5069 | 0.092 | 0.1679 | 0.4069 |
NTES | 0.8932 | 0.3377 | 0.5760 | 0.6179 | 0.3432 | 0.5461 |
SOHO | 0.9132 | 0.1373 | 0.5771 | 0.2318 | 0.1529 | 0.4304 |
BIDU | 0.9409 | 1 | 0.8988 | 0.9575 | 0.5233 | 0.9121 |
GAME | 0.2239 | 0.0394 | 0.0587 | 0.2984 | 0.0987 | 0.1119 |
Giant | 0.1533 | 0.0768 | 0.2487 | 0.5087 | 0.2597 | 0.2216 |
NCTY | 0.1235 | 0.0049 | 0.0634 | 0.0008 | 0.4195 | 0.032 |
CYOU | 0.5096 | 0.0686 | 0.4842 | 0.4823 | 0.442 | 0.3707 |
PWRD | 0.4604 | 0.0147 | 0.2011 | 0.1795 | 0.2534 | 0.1901 |
CTRP | 0.7041 | 0.0562 | 0.3555 | 0.3529 | 0.2466 | 0.3172 |
JRJC | 0.1302 | 0.0079 | 0.0563 | 0.0007 | 0.1004 | 0.0503 |
LONG | 0.5778 | 0.0174 | 0.3801 | 0.01 | 0.1845 | 0.2479 |
JOBS | 0.9 | 0.0284 | 0.6368 | 0.4366 | 0.2462 | 0.4542 |
KZ | 0.276 | 0.0074 | 0.1189 | 0.117 | 0.0616 | 0.1073 |
KUTV | 0.1684 | 0.0214 | 0.0441 | 0 | 0 | 0.0284 |
SFUM | 0.6263 | 0.0404 | 0.5218 | 0.3585 | 0.3854 | 0.0722 |
YOKU | 0.5654 | 0.1542 | 0.4639 | 0.015 | 0.6193 | 0.3482 |
QIHU | 0.3612 | 0.1817 | 0.2603 | 0.1659 | 0.8687 | 0.2878 |
RENN | 0.3551 | 0.0645 | 0.1076 | 0.0068 | 0.3568 | 0.1388 |
DATE | 0.155 | 0.0051 | 0.3422 | 0.1204 | 0.4244 | 0.1994 |
FENG | 0.3168 | 0.0748 | 0.1458 | 0.0854 | 0.2782 | 0.0873 |
TAOM | 0.3819 | 0.0071 | 0.0897 | 0.3328 | 0.1635 | 0.0845 |
NQ | 0.1839 | 0.0124 | 0.0698 | 0.0067 | 0.7356 | 0.0427 |
comprehensive method have been compared with the results calculated by the PB and the PE methods. By comparing the error rates between the estimates and the real stock prices, the method raised in this paper is more appropriate for the assessment of internet enterprise value has been proved. Relative error rate can be calculated by the ratio between the difference of the actual value and the estimated value and the real stock price.
In the process of the value assessment by the comprehensive method, all the internet enterprises should be considered. This paper only chose 23 Chinese internet enterprises from the NASDAQ market as the research samples and the error rate relatively larger. However, the error rates form different methods be compared and the result can be proved that the comprehensive method is more appropriate to the value assessment of internet enterprises.
As shown in
Indictor | Stock price | Score | Comprehensive method | Error rate | PB | Error rate | PE | Error rate |
---|---|---|---|---|---|---|---|---|
SINA | 69.16 | 0.4069 | 32.36 | 0.53 | 70.07 | 0.013 | 29.08 | 0.58 |
NTES | 51.01 | 0.5461 | 43.14 | 0.15 | 58.96 | 0.156 | 161.5 | 2.17 |
SOHO | 41.55 | 0.4304 | 34 | 0.18 | 78.38 | 0.89 | 74.14 | 0.78 |
BIDU | 173.1 | 0.9121 | 72.06 | 0.58 | 69.96 | 0.6 | 318.3 | 0.84 |
GAME | 6.98 | 0.1119 | 2.41 | 0.69 | 15.65 | 1.24 | 6.193 | 0.113 |
Giant | 11.92 | 0.2216 | 17.51 | 1.68 | 12.15 | 0.02 | 5.567 | 0.53 |
NCTY | 1.02 | 0.032 | 2.53 | 1.48 | 7.63 | 6.48 | ||
CYOU | 30.55 | 0.3707 | 29.29 | 0.04 | 36.34 | 1.19 | 19.85 | 0.35 |
PWRD | 30.96 | 0.1901 | 15.09 | 0.51 | 107.6 | 2.46 | 24.41 | 0.21 |
CTRP | 47.81 | 0.3172 | 25.06 | 0.48 | 49.28 | 0.03 | 75.8 | 0.59 |
JRJC | 3.05 | 0.0503 | 3.95 | 0.3 | 24.3 | 6.96 | ||
LONG | 18 | 0.2479 | 19.58 | 0.09 | 32.14 | 0.79 | 2.56 | 0.86 |
JOBS | 35.64 | 0.4542 | 35.88 | 0.01 | 27.43 | 0.23 | 17.61 | 0.51 |
KZ | 7.25 | 0.1073 | 8.48 | 0.17 | 23.64 | 2.26 | 27.77 | 2.83 |
KUTV | 1.02 | 0.0284 | 2.24 | 1.2 | 2.01 | 0.97 | ||
SFUM | 3.05 | 0.0722 | 5.7 | 0.87 | 3.89 | 0.28 | 7.05 | 1.31 |
YOKU | 27.54 | 0.3482 | 27.51 | 0 | 38.9 | 0.41 | ||
QIHU | 31.54 | 0.2878 | 22.74 | 0.28 | 11.73 | 0.63 | 16.02 | 0.49 |
RENN | 7.96 | 0.1388 | 10.97 | 0.37 | 24.09 | 2.03 | ||
DATE | 7.46 | 0.1994 | 15.75 | 0.97 | 10.86 | 0.46 | 9.96 | 0.34 |
FENG | 3.62 | 0.0873 | 6.9 | 0.91 | 8.16 | 1.25 | 8.08 | 1.23 |
TAOM | 3.7 | 0.0845 | 6.68 | 0.8 | 8.32 | 1.25 | 9.75 | 1.64 |
NQ | 3.8 | 0.0427 | 3.37 | 0.11 | 6.99 | 0.84 | 3.35 | 0.12 |
Average value | 0.539 | 1.366 | 0.861 |
been raised to compare with the market methods. The internet enterprise value has been divided and classified into five indictors. The data of quantify indictors can be found from the websites. The qualitative indictor can be quantified by Delphi method of expert scoring method. All the data of indictors have been standardized and the difference can be compared. Every research sample has obtained a comprehensive score based on the five indictors. The stock price can be calculated by the standard score according to the whole internet industry. The error rate of the comprehensive method, the PB method and the PE method are respectively 0.539, 1.366 and 0.861.
Chinese internet enterprises comparing to the western countries are in the developing stage and the value assessment is the most important in economic activities. More and more researchers from different courses should participate in the research. Only from various disciplines of statistical methods to analyze, the value assessment of internet enterprises can be improved.
Peng, X.Y. and Bai, X.M. (2017) An Investigation of Internet Enterprise Value Assessment Based on Comprehensive Evaluation Method. Ame- rican Journal of Industrial and Business Management, 7, 501-512. https://doi.org/10.4236/ajibm.2017.74036