CN111160717A - Enterprise innovation potential evaluation method and device - Google Patents
Enterprise innovation potential evaluation method and device Download PDFInfo
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Abstract
The method comprises the steps of collecting sales, research and development personnel and research and development investment data needing to be revealed in high and new technology enterprises of different industry classifications and different years, calculating sales, research and development investment proportion of everyone research and development personnel and intellectual property application amount of everyone research and development personnel according to intellectual property application conditions capable of being obtained by public data, establishing high and new technology enterprise big data, carrying out cluster analysis on the big data, classifying the enterprises to be evaluated into clusters, and predicting intellectual property applications of the enterprises to be evaluated in the coming years by using the clusters, thereby evaluating the innovative potential of the enterprises. The method and the device for evaluating the enterprise innovation potential have the advantages of being scientific and strong in operability on the evaluation result of the enterprise innovation potential.
Description
Technical Field
The application belongs to the technical field of enterprise quality evaluation by using big data, and particularly relates to an enterprise innovation potential evaluation method and device.
Background
Prediction is the deduction and estimation of the future development of things based on the basis. The prediction of modern science is to make reasoning and judgment on the basis of extensive knowledge and then to propose qualitative and quantitative estimates of future development direction and level.
The prediction of future development of enterprises needs to comprehensively consider a plurality of contents, and besides policy factors, the development of enterprises in the same industry can provide important prediction basis for enterprise development.
Except for enterprises on the market, various experience data of small and medium-sized enterprises are difficult to obtain, basic contents need to be filled in when high and new technology enterprises declare and evaluate every year, and the high and new technology enterprises need to disclose a large amount of information every year and the disclosed information is accurate, so that the innovation development potential of the enterprises can be accurately predicted. Currently, there is no relevant prediction method.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: in order to solve the defects in the prior art, a method and a device for evaluating enterprise innovation potential aiming at published data of high and new technology enterprises are provided.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a method for evaluating the innovative potential of an enterprise,
the method comprises the following steps:
s1: acquiring the industry classification of an enterprise to be evaluated, acquiring the sales volume, research and development personnel, research and development investment and intellectual property application situation of the enterprise to be evaluated since the enterprise to be evaluated becomes a high and new technology enterprise, and drawing a trend graph of the change of the sales volume, research and development investment proportion of per capita research and development personnel and intellectual property application amount of per capita research and development personnel along with the years;
s2: collecting sales of high and new enterprises under different industry classifications and different years, research and development investment duty of per capita research and development personnel, and intellectual property application amount of per capita research and development personnel, and establishing an enterprise database, wherein the collected established years of the high and new enterprises are greater than those of the enterprises to be evaluated;
s3: respectively establishing a trend graph of the sales, the research and development investment proportion of the everyone research and development personnel and the intellectual property application amount of the everyone research and development personnel along with the change of the years for each enterprise;
s4: clustering enterprises with sales, research and development investment duty of the everyone research and development personnel and similar intellectual property application amount of the everyone research and development personnel, and establishing a sales, research and development investment duty of the everyone research and development personnel and intellectual property application amount average value and annual application trend chart of the enterprises of the same type;
s5: matching the change trend graph obtained in the step S1 with the enterprises of various clusters classified in the same industry in the step S3, and finding the closest cluster of the enterprise to be evaluated;
s6: the higher the intellectual property application amount growth rate in the future N years in the variation trend graph of the clustered intellectual property applications indicates that the enterprise innovation potential is higher;
and if the intellectual property application amount in the future N years in the variation trend graph of the clustered intellectual property applications is reduced, the enterprise innovation potential is considered to be low.
Preferably, the enterprise innovation potential evaluation method indicates the innovation potential of the next year when N is 1.
Preferably, the enterprise innovation potential evaluation method of the invention, the industry classification is divided according to the specification of GB/T4754-2017 and is distributed to subclasses, the intellectual property rights comprise patent and software copyright, the innovation potential value X is A invention patent application growth rate + B utility model application growth rate + C appearance design application growth rate + D software copyright application growth rate, A, B, C and D are weight values, A > B > C, and A > B > D ≧ D. .
Preferably, in the enterprise innovation potential evaluation method of the invention, in the step S4, enterprises with sales, proportion of research and development investment of per capita research and development personnel and intellectual property application amount within 10% are clustered.
Preferably, in the enterprise innovation potential evaluation method of the present invention, when the cluster closest to the enterprise to be evaluated is searched in step S5, the trend graph of the clustered enterprise only needs to intercept data of the enterprise to be evaluated within the last year.
The invention also provides an enterprise innovation potential evaluation device, which comprises:
and an enterprise analysis module to be evaluated: the system is used for acquiring the industry classification of the enterprise to be evaluated, acquiring the sales volume, research and development personnel, research and development investment and intellectual property application situation of the enterprise to be evaluated since the enterprise to be evaluated becomes a high and new technology enterprise, and drawing a trend graph of the sales volume, the research and development personnel, the research and development investment and the intellectual property application along with the year;
an enterprise database establishment module: the system is used for collecting sales, research and development personnel, research and development investment and intellectual property application conditions of high and new enterprises under different industry classifications and different years, establishing an enterprise database, wherein the collected established years of the high and new enterprises are greater than those of the enterprises to be evaluated;
a change trend establishing module: the method is used for establishing a trend graph of sales, research and development personnel, research and development investment and intellectual property application change with years for each enterprise;
a cluster analysis module: the method is used for clustering enterprises with similar sales numerical values, research and development personnel numerical values, research and development input numerical values and intellectual property application amount, and establishing average values of the sales numerical values, the research and development personnel numerical values, the research and development input numerical values and the intellectual property application amount of the same type of enterprises and an annual application trend graph;
a cluster matching module: the cluster analysis module is used for matching the variation trend graph obtained in the enterprise analysis module to be evaluated with various clustered enterprises of the same industry classification in the cluster analysis module, and finding the closest cluster of the enterprise to be evaluated;
a result derivation module: and the variation trend graph of the clustered intellectual property application is used as the prediction or planning of the future intellectual property application amount of the enterprise to be evaluated.
Preferably, the enterprise innovation potential evaluation device of the invention indicates the innovation potential of the next year when N is 1.
Preferably, the enterprise innovation potential evaluation device of the invention, the industry classification is divided according to the specification of GB/T4754-2017 and is distributed to subclasses, the intellectual property rights comprise patent and software copyright, the innovation potential value X is A invention patent application growth rate + B utility model application growth rate + C appearance design application growth rate + D software copyright application growth rate, A, B, C and D are weight values, A > B > C, and A > B > D ≧ D. One reasonable weight is B and D with a being 5 times a and C with a being 10 times, such as: when A is 1, B and D are 0.2, and C is 0.1. The patent application growth rate, the utility model application growth rate, the appearance design application growth rate and the software copyright application growth rate are all values in the variation trend chart of the clustered intellectual property application.
Preferably, in the enterprise innovation potential evaluation device of the present invention, in step S4, enterprises whose sales amounts, research and development investment duty of human research and development personnel, and intellectual property application amounts of human research and development personnel are within 10% of each other are clustered.
Preferably, when the cluster matching module searches for the closest cluster to the enterprise to be evaluated, the trend graph of the clustered enterprise only needs to intercept data of the enterprise to be evaluated within the established year so far.
The invention has the beneficial effects that:
the method comprises the steps of collecting sales, research and development personnel and research and development investment data needing to be revealed in high and new technology enterprises of different industry classifications and different years, calculating sales, research and development investment proportion of everyone research and development personnel and intellectual property application amount of everyone research and development personnel according to intellectual property application conditions capable of being obtained by public data, establishing high and new technology enterprise big data, carrying out cluster analysis on the big data, classifying the enterprises to be evaluated into clusters, and predicting intellectual property applications of the enterprises to be evaluated in the coming years by using the clusters, thereby evaluating the innovative potential of the enterprises. The method and the device for evaluating the enterprise innovation potential have the advantages of being scientific and strong in operability on the evaluation result of the enterprise innovation potential.
Drawings
The technical solution of the present application is further explained below with reference to the drawings and the embodiments.
FIG. 1 is a flow chart of a method for assessing an enterprise's innovation potential according to an embodiment of the present application;
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The technical solutions of the present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Examples
The embodiment provides a method for evaluating enterprise innovation potential, as shown in fig. 1,
the method comprises the following steps:
s1: acquiring the industry classification of an enterprise to be evaluated, acquiring sales, research and development personnel, research and development investment and intellectual property application situation of the enterprise to be evaluated since the enterprise to be evaluated becomes a high and new technology enterprise, and drawing a trend graph of change of the occupation ratio of the sales, the research and development investment of per capita research and development personnel (research and development investment divided by the total number of the research and development personnel) and the intellectual property application amount of the per capita research and development personnel (intellectual property application amount divided by the total number of the research and development personnel) along with years;
s2: collecting sales of high and new enterprises under different industry classifications and different years, research and development investment duty of per capita research and development personnel, and intellectual property application amount of per capita research and development personnel, and establishing an enterprise database, wherein the collected established years of the high and new enterprises are greater than those of the enterprises to be evaluated; the industry classifications are divided according to the specifications of GB/T4754-2017 and assigned to subclasses.
The national economic industry classifications and the major classes of codes are: a agriculture, forestry, animal husbandry, fishery; b, mining; c, manufacturing industry; electric power, heating power, gas and water production and supply industries; e, the building industry; the transportation, storage and postal industry; g information transmission, software and information technology service industry; h wholesale and retail industries; i lodging and catering industry; j the financial industry; k the land industry; l rental and business services; m scientific research and technical service industry; n water conservancy, environmental and utility management; o residential services, repairs and other services; education P; q hygiene and social work; r culture, sports and entertainment industries; s, public management, social security and social organization; and T International organization.
S3: respectively establishing a trend graph of the sales, the research and development investment proportion of the everyone research and development personnel and the intellectual property application amount of the everyone research and development personnel along with the change of the years for each enterprise; more clusters are more accurate, but the workload is also greater; generally, enterprises with numerical value difference of more than 10% are selected for clustering
S4: clustering enterprises with sales, research and development investment duty of the everyone research and development personnel and similar intellectual property application amount of the everyone research and development personnel, and establishing a sales, research and development investment duty of the everyone research and development personnel and intellectual property application amount average value and annual application trend chart of the enterprises of the same type;
s5: matching the change trend graph obtained in the step S1 with the enterprises of various clusters classified in the same industry in the step S3, and finding the closest cluster of the enterprise to be evaluated;
s6: the higher the intellectual property application amount growth rate in the future N years in the variation trend graph of the clustered intellectual property applications indicates that the enterprise innovation potential is higher;
if the intellectual property application amount in the future N years in the variation trend graph of the clustered intellectual property applications is reduced, the enterprise innovation potential is considered to be low;
when N is 1, the innovation potential of the next year is shown, and N is 2, the innovation potential of the next 12 years is shown.
The enterprise innovation potential of a plurality of years in the future can be evaluated according to the annual intellectual property application quantity ring ratio growth rate, and meanwhile, a certain score can be set to quantitatively evaluate the innovation potential, for example, the innovation potential value X is A invention patent application growth rate + B utility model application growth rate + C appearance design application growth rate + D software copyright application growth rate, A, B, C and D are weights, A > B > C, and A > B > D.
Preferably, the intellectual property rights include patents and software copyrights, patents including utility models, design designs and inventions.
Preferably, in the enterprise innovation potential evaluation method of this embodiment, when the cluster closest to the enterprise to be evaluated is searched in step S5, the trend graph of the clustered enterprise only needs to intercept data of the enterprise to be evaluated within the last year of establishment.
The embodiment further provides an enterprise innovation potential evaluation device, which corresponds to the embodiment of the method, and includes:
and an enterprise analysis module to be evaluated: the system is used for acquiring the industry classification of the enterprise to be evaluated, acquiring the sales volume, research and development personnel, research and development investment and intellectual property application situation of the enterprise to be evaluated since the enterprise to be evaluated becomes a high and new technology enterprise, and drawing a trend graph of the sales volume, the research and development personnel, the research and development investment and the intellectual property application along with the year;
an enterprise database establishment module: the system is used for collecting sales, research and development personnel, research and development investment and intellectual property application conditions of high and new enterprises under different industry classifications and different years, establishing an enterprise database, wherein the collected established years of the high and new enterprises are greater than those of the enterprises to be evaluated;
a change trend establishing module: the method is used for establishing a trend graph of sales, research and development personnel, research and development investment and intellectual property application change with years for each enterprise;
a cluster analysis module: the method is used for clustering enterprises with similar sales numerical values, research and development personnel numerical values, research and development input numerical values and intellectual property application amount, and establishing average values of the sales numerical values, the research and development personnel numerical values, the research and development input numerical values and the intellectual property application amount of the same type of enterprises and an annual application trend graph;
a cluster matching module: the cluster analysis module is used for matching the variation trend graph obtained in the enterprise analysis module to be evaluated with various clustered enterprises of the same industry classification in the cluster analysis module, and finding the closest cluster of the enterprise to be evaluated;
a result derivation module: and the variation trend graph of the clustered intellectual property application is used as the prediction or planning of the future intellectual property application amount of the enterprise to be evaluated.
Preferably, the enterprise innovation potential evaluation device of the embodiment indicates the innovation potential of the next year when N is 1.
Preferably, the enterprise innovation potential evaluating device of the embodiment divides the industry classification according to the specification of GB/T4754-2017 and is distributed to the subclasses, and the intellectual property rights comprise patent and software copyright.
Preferably, in the enterprise innovation potential evaluation device of this embodiment, in step S4, enterprises whose sales amounts, research and development investment duty of human research and development personnel, and intellectual property application amounts of human research and development personnel are within 10% of each other are clustered.
Preferably, in the enterprise innovation potential evaluation device of this embodiment, when the cluster matching module searches for the closest cluster to the enterprise to be evaluated, the trend graph of the clustered enterprise only needs to intercept data of the enterprise to be evaluated within the established year so far.
According to the high and new technology enterprise development prediction planning method and device, sales, research and development personnel and research and development investment data which need to be disclosed in high and new technology enterprises of different industry classifications and different years are collected, intellectual property application amount of the research and development personnel and the research and development investment proportion of the people is calculated according to intellectual property application conditions which can be obtained by the public data, high and new technology enterprise big data is established, after cluster analysis is carried out on the big data, the enterprises to be evaluated are classified into clusters, then the intellectual property applications of the enterprises to be evaluated in the coming years can be predicted by the clusters, and accordingly innovation potential of the enterprises is evaluated. The method and the device for evaluating the enterprise innovation potential have the advantages of being scientific and strong in operability on the evaluation result of the enterprise innovation potential.
In light of the foregoing description of the preferred embodiments according to the present application, it is to be understood that various changes and modifications may be made without departing from the spirit and scope of the invention. The technical scope of the present application is not limited to the contents of the specification, and must be determined according to the scope of the claims.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Claims (10)
1. A method for evaluating enterprise innovation potential is characterized in that,
the method comprises the following steps:
s1: acquiring the industry classification of an enterprise to be evaluated, acquiring the sales volume, research and development personnel, research and development investment and intellectual property application situation of the enterprise to be evaluated since the enterprise to be evaluated becomes a high and new technology enterprise, and drawing a trend graph of the change of the sales volume, research and development investment proportion of per capita research and development personnel and intellectual property application amount of per capita research and development personnel along with the years;
s2: collecting sales of high and new enterprises under different industry classifications and different years, research and development investment duty of per capita research and development personnel, and intellectual property application amount of per capita research and development personnel, and establishing an enterprise database, wherein the collected established years of the high and new enterprises are greater than those of the enterprises to be evaluated;
s3: respectively establishing a trend graph of the sales, the research and development investment proportion of the everyone research and development personnel and the intellectual property application amount of the everyone research and development personnel along with the change of the years for each enterprise;
s4: clustering enterprises with sales, research and development investment duty of the everyone research and development personnel and similar intellectual property application amount of the everyone research and development personnel, and establishing a sales, research and development investment duty of the everyone research and development personnel and intellectual property application amount average value and annual application trend chart of the enterprises of the same type;
s5: matching the change trend graph obtained in the step S1 with the enterprises of various clusters classified in the same industry in the step S3, and finding the closest cluster of the enterprise to be evaluated;
s6: the higher the intellectual property application amount growth rate in the future N years in the variation trend graph of the clustered intellectual property applications indicates that the enterprise innovation potential is higher;
and if the intellectual property application amount in the future N years in the variation trend graph of the clustered intellectual property applications is reduced, the enterprise innovation potential is considered to be low.
2. The method as claimed in claim 1, wherein when N ═ 1, the innovation potential of the next year is shown.
3. The enterprise innovation potential assessment method according to claim 1 or 2, wherein industry classifications are divided according to the regulations of GB/T4754-2017 and assigned to subclasses, the intellectual property rights include patent and software copyright, innovation potential value X ═ a inventive patent application growth rate + B utility model application growth rate + C appearance design application growth rate + D software copyright application growth rate, A, B, C and D are weight values, and a > B > C, and a > B > D ≧ D.
4. The method for evaluating enterprise innovation potential according to any one of claims 1-3, wherein enterprises with sales, average research and development investment, and intellectual property application amount within 10% are clustered in step S4.
5. The method for assessing business innovation potential as claimed in any one of claims 1 to 4, wherein when the cluster closest to the business to be assessed is searched in the step S5, the trend graph of the clustered business only needs to intercept data of the business to be assessed within the last year.
6. An enterprise innovation potential assessment apparatus, comprising:
and an enterprise analysis module to be evaluated: the system is used for acquiring the industry classification of the enterprise to be evaluated, acquiring the sales volume, research and development personnel, research and development investment and intellectual property application situation of the enterprise to be evaluated since the enterprise to be evaluated becomes a high and new technology enterprise, and drawing a trend graph of the sales volume, the research and development personnel, the research and development investment and the intellectual property application along with the year;
an enterprise database establishment module: the system is used for collecting sales, research and development personnel, research and development investment and intellectual property application conditions of high and new enterprises under different industry classifications and different years, establishing an enterprise database, wherein the collected established years of the high and new enterprises are greater than those of the enterprises to be evaluated;
a change trend establishing module: the method is used for establishing a trend graph of sales, research and development personnel, research and development investment and intellectual property application change with years for each enterprise;
a cluster analysis module: the method is used for clustering enterprises with similar sales numerical values, research and development personnel numerical values, research and development input numerical values and intellectual property application amount, and establishing average values of the sales numerical values, the research and development personnel numerical values, the research and development input numerical values and the intellectual property application amount of the same type of enterprises and an annual application trend graph;
a cluster matching module: the cluster analysis module is used for matching the variation trend graph obtained in the enterprise analysis module to be evaluated with various clustered enterprises of the same industry classification in the cluster analysis module, and finding the closest cluster of the enterprise to be evaluated;
a result derivation module: and the variation trend graph of the clustered intellectual property application is used as the prediction or planning of the future intellectual property application amount of the enterprise to be evaluated.
7. The enterprise innovation potential assessment device of claim 6, wherein N-1 indicates the next year's innovation potential.
8. The enterprise innovation potential assessment device according to claim 6 or 7, wherein industry classifications are divided according to the regulations of GB/T4754-2017 and assigned to subclasses, the intellectual property rights comprise patent and software copyright, innovation potential value X ═ A ═ inventive patent application growth rate + B ═ utility model application growth rate + C · appearance design application growth rate + D · software copyright application growth rate, A, B, C and D are weight values, and A > B > C, and A > B ≧ D.
9. The enterprise innovation potential evaluation device of any one of claims 6-8, wherein enterprises with sales, average research and development investment, and intellectual property application amount within 10% of each other are clustered in step S4.
10. The enterprise innovation potential assessment device according to any one of claims 6-9, wherein when the cluster matching module searches for the closest cluster to the enterprise to be assessed, the trend graph of the clustered enterprise only needs to intercept data of the enterprise to be assessed within the last year.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112801686A (en) * | 2020-12-08 | 2021-05-14 | 中国科学院科技战略咨询研究院 | Pricing method and system for forming enterprise equity by intellectual property pricing and equity write |
| CN116384820A (en) * | 2023-03-31 | 2023-07-04 | 四川省自然资源科学研究院(四川省生产力促进中心) | Scientific and technological innovation capability assessment method, system, equipment and medium for enterprises |
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2019
- 2019-12-10 CN CN201911259431.9A patent/CN111160717A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112801686A (en) * | 2020-12-08 | 2021-05-14 | 中国科学院科技战略咨询研究院 | Pricing method and system for forming enterprise equity by intellectual property pricing and equity write |
| CN116384820A (en) * | 2023-03-31 | 2023-07-04 | 四川省自然资源科学研究院(四川省生产力促进中心) | Scientific and technological innovation capability assessment method, system, equipment and medium for enterprises |
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Application publication date: 20200515 |