Enterprise capability evaluation data management method and device, equipment and storage medium
Through a corporate ability evaluation data management method, the use of corporate data and the corresponding evaluation model for multi -dimensional evaluation, solving the simple problems of existing evaluation methods, and realizing the comprehensive evaluation of SMEs and effective specialized new enterprises. Recognize.
Patent Information
- Application Number
- CN202411251640.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-08
- Publication Date
- 2025-01-28
AI Technical Summary
The existing enterprise capability evaluation methods and model dimensions are relatively simple, and it is difficult to conduct comprehensive evaluation, especially in the fields of specialization and new expertise. The lack of an effective evaluation system makes it impossible to effectively identify small and medium-sized enterprises with prospects for cultivation.
Putting a data management method of corporate ability evaluation, by obtaining the enterprise data of the enterprise to be evaluated, and selecting the corresponding corporate ability evaluation model according to the type of access pathway, the enterprise data input model is outputting the results of the enterprise evaluation results. This method includes index access channels, investment access channels, and industrial access channels, and corresponds to the index calculation model, investment confirmation model and industrial confirmation model, respectively.
The comprehensive evaluation of the enterprise in accordance with the multi -dimensional evaluation conditions provides an evaluation data management method that can effectively identify and cultivate new enterprises that specialize in specialized specialized enterprises, which improves the evaluation and identification efficiency of SMEs in the specialized new field.
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Figure CN119379308A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of enterprise capability evaluation management, and specifically, to an enterprise capability evaluation data management method, device, equipment and storage medium. Background Art
[0002] The existing methods and models for evaluating enterprise capabilities are relatively simple. When it is necessary to conduct a comprehensive evaluation of enterprise capabilities to assess whether the enterprise meets the corresponding entry conditions, there is no better solution.
[0003] For example, the existing evaluation and analysis models for the fourth-board companies are not common, especially in the field of specialization, refinement and innovation. Many fourth-board companies and small and medium-sized enterprises cannot be supported if they apply the unified standards of the Ministry of Industry and Information Technology, but small and medium-sized enterprises play an important role in the field of specialization, refinement and innovation. However, due to the lack of evaluation systems and models, it is ultimately impossible to effectively identify companies with cultivation prospects. Summary of the invention
[0004] The content of this application is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The content of this application is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.
[0005] Some embodiments of the present application propose an enterprise capability evaluation data management method, device, equipment and storage medium to solve the technical problems mentioned in the above background technology section.
[0006] As a first aspect of the present application, some embodiments of the present application provide an enterprise capability evaluation method, including:
[0007] Obtain enterprise data of the enterprise to be evaluated;
[0008] According to the enterprise access path type of the enterprise to be evaluated, select a corresponding enterprise capability evaluation model;
[0009] The enterprise data is input into the enterprise capability evaluation model so that the evaluation model outputs an enterprise evaluation result.
[0010] Optionally, in some embodiments of the present application, the enterprise access path types include: index access path, investment access path, industry access path; the enterprise capability evaluation model includes: index calculation model, investment confirmation model and industry confirmation model.
[0011] Optionally, in some embodiments of the present application, the step of inputting the enterprise data into the enterprise capability evaluation model to output the enterprise evaluation result using the evaluation model includes:
[0012] When the enterprise access path type is an index access path, the enterprise data is input into the index calculation model to obtain the enterprise capability evaluation index of the enterprise to be evaluated as the enterprise evaluation result.
[0013] Optionally, in some embodiments of the present application, the step of inputting the enterprise data into the enterprise capability evaluation model to output the enterprise evaluation result using the evaluation model includes:
[0014] When the enterprise access path type is an investment access path, the enterprise data is input into the investment confirmation model to obtain the investment data confirmation result of the enterprise to be evaluated as the enterprise evaluation result.
[0015] Optionally, in some embodiments of the present application, the step of inputting the enterprise data into the enterprise capability evaluation model to output the enterprise evaluation result using the evaluation model includes:
[0016] When the enterprise access path type is an industry access path, the enterprise data is input into the industry confirmation model to obtain the industry data confirmation result of the enterprise to be evaluated as the enterprise evaluation result.
[0017] Optionally, in some embodiments of the present application, the enterprise capability evaluation method further includes:
[0018] Obtaining a data set of enterprise data of different types of enterprise access pathways;
[0019] A plurality of enterprise capability evaluation models corresponding to the enterprise access path types are constructed or trained based on the data set.
[0020] Optionally, in some embodiments of the present application, the enterprise capability evaluation method further includes:
[0021] Determine whether the enterprise to be evaluated is an approved enterprise based on the enterprise evaluation result.
[0022] As a second aspect of the present application, some embodiments of the present application provide an enterprise capability evaluation device, including:
[0023] An acquisition module, used to acquire enterprise data of the enterprise to be evaluated;
[0024] A selection module, used to select a corresponding enterprise capability evaluation model according to the enterprise access path type of the enterprise to be evaluated;
[0025] The output module is used to input the enterprise data into the enterprise capability evaluation model to output the enterprise evaluation result through the evaluation model.
[0026] As the third aspect of the present application, some embodiments of the present application provide an electronic device, comprising: one or more processors; a storage device on which one or more programs are stored, and when the one or more programs are executed by one or more processors, the one or more processors implement the method described in any implementation manner of the above-mentioned first aspect.
[0027] As a fourth aspect of the present application, some embodiments of the present application provide a computer-readable medium on which a computer program is stored, wherein when the program is executed by a processor, the method described in any implementation of the above-mentioned first aspect is implemented.
[0028] The beneficial effect of the present application is that it provides an enterprise capability evaluation data management method, device, equipment and storage medium that can comprehensively evaluate whether an enterprise is allowed to enter based on multi-dimensional evaluation conditions. BRIEF DESCRIPTION OF THE DRAWINGS
[0029] The drawings constituting a part of this application are used to provide a further understanding of this application, so that other features, purposes and advantages of this application become more obvious. The illustrative embodiment drawings and their descriptions of this application are used to explain this application and do not constitute an improper limitation on this application.
[0030] In addition, throughout the drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that the components and elements are not necessarily drawn to scale.
[0031] In the attached picture:
[0032] Figure 1 It is a structural diagram of the main steps of the enterprise capability evaluation data management method according to an embodiment of the present application;
[0033] Figure 2 It is a structural diagram of the main modules of the enterprise capability evaluation data management device according to an embodiment of the present application;
[0034] Figure 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
[0035] Figure 4 is a schematic diagram of three access paths according to an embodiment of the present application;
[0036] Figure 5 It is a schematic diagram of the main steps of the index access path according to an embodiment of the present application;
[0037] Figure 6 This is a schematic diagram of the main steps of the investment access path according to an embodiment of the present application;
[0038] Figure 7It is a schematic diagram of the main steps of the industry access path according to an embodiment of the present application. DETAILED DESCRIPTION
[0039] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.
[0040] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments and features in the embodiments of the present disclosure can be combined with each other.
[0041] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.
[0042] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".
[0043] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.
[0044] The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.
[0045] Reference Figure 1 As shown, the enterprise capability evaluation method of this application mainly includes the following steps:
[0046] S101: Obtain enterprise data of the enterprise to be evaluated.
[0047] S102: Select a corresponding enterprise capability evaluation model according to the enterprise access path type of the enterprise to be evaluated.
[0048] S103: Inputting enterprise data into the enterprise capability evaluation model so that the evaluation model outputs the enterprise evaluation results.
[0049] S104: Determine whether the enterprise to be evaluated is an approved enterprise based on the enterprise evaluation results.
[0050] In some embodiments of the present application, the enterprise access pathway types include: index access pathway, investment access pathway, and industry access pathway. The enterprise capability evaluation model includes: index calculation model, investment confirmation model, and industry confirmation model.
[0051] In some embodiments of the present application, step 103 specifically includes:
[0052] Step 1031: When the enterprise access path type is an index access path, the enterprise data is input into the index calculation model to obtain the enterprise capability evaluation index of the enterprise to be evaluated as the enterprise evaluation result.
[0053] Step 1032: When the enterprise access path type is an investment access path, the enterprise data is input into the investment confirmation model to obtain the investment data confirmation result of the enterprise to be evaluated as the enterprise evaluation result.
[0054] Step 1033: When the enterprise access path type is the industry access path, the enterprise data is input into the industry confirmation model to obtain the industry data confirmation result of the enterprise to be evaluated as the enterprise evaluation result.
[0055] In some embodiments of the present application, the enterprise capability evaluation method further includes:
[0056] S010 obtains data sets of enterprise data of different enterprise access pathway types;
[0057] S020 constructs or trains multiple enterprise capability evaluation models corresponding to the enterprise access path types based on the data set.
[0058] Reference Figure 2 As shown, as the second aspect of the present application, the enterprise capability evaluation device of the present application mainly includes: an acquisition module, a selection module, and an output module. Among them, the acquisition module is used to obtain the enterprise data of the enterprise to be evaluated; the selection module is used to select the corresponding enterprise capability evaluation model according to the enterprise access path type of the enterprise to be evaluated; the output module is used to input the enterprise data into the enterprise capability evaluation model so that the evaluation model outputs the enterprise evaluation result.
[0059] Specifically, this application matches different enterprise capability evaluation models according to the enterprise access path type of the enterprise to be evaluated; thus, at least one of the enterprise capability evaluation index, investment data confirmation results, and industry data confirmation results can be used as a basis for determining whether the enterprise capability can meet a certain preset enterprise recognition standard, that is, whether the enterprise can be admitted to a certain enterprise recognition standard based on enterprise capability assessment. For example, the recognition of specialized, sophisticated, and innovative enterprises.
[0060] Reference Figures 4 to 7 As shown, taking the evaluation and recognition of specialized, sophisticated and innovative enterprises as an example, the specific introduction is as follows.
[0061] As a specific embodiment, this application studies and designs a specialized, sophisticated, and innovative enterprise evaluation system, which is intended to be used to evaluate whether an enterprise meets the conditions for serving as a "specialized, sophisticated, and innovative" special board in the construction of a regional equity market. The main purpose of the specialized, sophisticated, and innovative enterprise evaluation index is to determine whether an enterprise meets the conditions for serving as a "specialized, sophisticated, and innovative" special board in the construction of a regional equity market. In other words, whether the enterprise is an approved enterprise.
[0062] The technical solution of this application may involve an evaluation system that includes innovative SMEs, specialized, new and high-tech SMEs, and specialized, new and high-tech "little giants" evaluated or recognized by industrial and information technology authorities at or above the provincial level; enterprises invested by government investment funds, and SMEs invested by private equity and venture capital funds; and other enterprises that meet the requirements for specialized, new and high-tech development or have corresponding potential. That is, there are three main types of service objects for the specialized, new and high-tech special board, and there are three access channels.
[0063] Reference Figure 5 As shown in the figure, the first access path is to directly calculate the evaluation index of specialized, refined, special and innovative enterprises through the designed model to identify enterprises that meet the standards. The model is constructed as shown in Figure 5 shown.
[0064] When calculating the specialization, refinement, specialization and innovation index, a more comprehensive specialization, refinement, specialization and innovation enterprise indicator system should be adopted, combined with factor analysis (EFA) and hierarchical analysis method (AHP) to calculate the corresponding specialization, refinement, specialization and innovation index in order to make an accurate evaluation of the enterprise. The specific steps are as follows:
[0065] Step 1: Indicator screening and factor construction
[0066] Using the statistical software SPSS and the exploratory factor analysis method (EFA), the sub-indicators in the evaluation index system of specialized, advanced and innovative enterprises were screened and reduced in dimension. Significant sub-indicators were screened out and reduced in dimension into 5 factors, which mainly reflect the level of specialization, refined management and control capabilities, the level of product or service characteristics, innovation capabilities and the performance of specialized, advanced and innovative achievements (including performance level and expert and social evaluation).
[0067] Specifically, the factor rotation method is used to extract factors with eigenvalues greater than 1 and indicators with factor loadings greater than 0.5. For the extracted factors, the types of significant indicators that fall under each factor in the rotated component matrix are examined, and then 5 target factors are extracted accordingly. For the extracted indicators, the indicators that cross-fall on different factors or fall on a specific factor but have a significance less than 0.5 are filtered out, and then the sub-indicators that can significantly explain the target factors are obtained. The analysis can obtain information such as the eigenvalues of the five factors and the principal components, the variance contribution rate, the cumulative variance contribution rate, and the factor score expression.
[0068] Step 2: Reliability and validity tests
[0069] Reliability test: SPSS software was used to conduct reliability test using Cronbach's alpha method. The closer the Cronbach's alpha is to 1, the higher the internal consistency of the indicator system and the better the indicator reliability.
[0070] Validity test: The test results of KMO and Bartlett were analyzed by SPSS software: Since the closer the KMO value is to 1, the stronger the correlation between indicators is, and the more suitable the indicator is for factor analysis, the opposite is true when the KMO value is close to 0. Bartletts sphericity test is used to test whether each variable is independent of each other. If the variables are independent of each other, it is impossible to extract common factors from them, and factor analysis cannot be applied. When the SPSS test results show that Sig. < 0.05 (i.e. p value < 0.05), it means that there is a correlation between the variables and the factor analysis is valid. In summary, after the screening, the KMO value of the indicator is close to 1, and the Sig. value is < 0.05, which means that the indicator system and the constructed factors are valid.
[0071] Step 3: Determine indicator weights (analytic hierarchy process)
[0072] Based on the indicator system and factors obtained in the above steps, considering simplifying the calculations and using the hierarchical analysis method to determine the weight of each factor, the specialization and innovation index can be calculated in combination with the score expression of each factor.
[0073] In the analytic hierarchy process (AHP), the target layer is the "specialization, refinement, specialization and innovation index", and the criterion layer is the five factors of "specialization level", "fine management and control ability", "product or service characteristic level", "innovation ability" and "specialization, refinement, specialization and innovation performance". The importance of the factors can refer to the scoring standards of specialized, refined and innovative small and medium-sized enterprises in the Ministry of Industry and Information Technology's documents. Among them, the total score of "specialization index" and "fine management index" is 25 points, the total score of "characteristic index" is 15 points, and the "innovation ability index" is 35 points. It can be seen that among the factors, "innovation ability" is slightly more important than "specialization level" and "fine management and control ability", and slightly more important than "product or service characteristic level". In addition, since the "specialization, refinement, specialization and innovation performance" is mainly reflected in the indicators of whether it is a certified specialized, refined and innovative enterprise, external institutional investment, and local characteristic evaluation enterprise, its importance can be said to be the highest. Therefore, a judgment matrix can be constructed.
[0074] Perform hierarchical single sorting and use the square root method to calculate the fifth root of the product of each row of the matrix value to obtain a 5-dimensional vector. Standardize this vector into a weight vector to obtain the weight of each factor:
[0075]
[0076] The maximum eigenvalue and CI value are further solved, and the CR value is solved according to the CI and RI values to determine whether the consistency is passed. When the CR value is less than 0.1, it is considered to have passed the consistency test, the judgment matrix is reasonable, and the weights of each factor are obtained.
[0077] After constructing an index calculation model for the above application scenario in accordance with the above scheme, it is stored in a computer device, and then after inputting the enterprise data of a new enterprise to be evaluated, the admission of the evaluated enterprise can be determined based on the calculated enterprise capability evaluation index.
[0078] Step 4: Calculate the evaluation index of specialized, sophisticated, unique and innovative enterprises
[0079] Based on the indicators screened out in the above steps, the constructed factors, the expression of factor scores with respect to each indicator, and the weights of each factor under the hierarchical analysis method, the evaluation index of specialized and innovative enterprises in the corresponding regions and industries can be calculated.
[0080] Specifically, the second access channel is enterprises invested by government investment funds. The list of small and medium-sized enterprises invested by private equity and venture capital funds and the investment amount can be obtained from the authoritative industrial and commercial data on the chain. Whether a specific enterprise is invested by the corresponding fund and the investment amount can also be obtained when the enterprise makes a commitment or provides material proof. These two methods can complement each other and help us more accurately identify and select enterprises that meet the access requirements of the Specialized New Board.
[0081] In order to improve the accuracy of the screening results, the cross-validation method can be used. Cross-validation is a practical method to statistically cut data samples into smaller subsets to evaluate the predictive performance of the model, reduce the risk of overfitting, and obtain as much valid information as possible from limited data.
[0082] Specifically, the steps of the cross-validation method are as follows: 1. Data collection: Collect data on all potential fund-invested enterprises, including industrial and commercial data and data reported by enterprises on their own. 2. Preliminary screening: Use authoritative industrial and commercial data or the method of self-reporting by enterprises for preliminary screening to obtain a preliminary list of candidate enterprises. 3. Cross-validation: Divide the list of enterprises obtained from the preliminary screening into multiple subsets, and use cross-validation methods such as K-fold cross-validation or leave-one-out to train and test the model for each subset. 4. Performance evaluation: Evaluate the test results of each subset and calculate the average performance indicators of the model, such as accuracy and recall. 5. Result analysis: Analyze the results of cross-validation to determine the accuracy of the data reported by enterprises on their own and which enterprises receive more investment and are more likely to become high-quality specialized and new board service objects. 6. Final decision: Based on the results of cross-validation and performance evaluation, decide whether the enterprise to be evaluated is allowed to enter.
[0083] That is, the investment confirmation model is constructed as a data verification model, which verifies the collected data with the data reported by the enterprise to determine whether the investment data of the enterprise to be evaluated is true and can meet the requirements.
[0084] Reference Figure 6 As shown, the third access path for this application is for local governments to screen characteristic industries, and then select enterprises that meet the standards from the characteristic industries by calculating the evaluation index of specialized, sophisticated and innovative enterprises, and identify them as specialized, sophisticated and innovative reserve enterprises.
[0085] Specifically, the steps for constructing the model of the third access pathway are as follows:
[0086] Step 1: Keyword search and data crawling
[0087] First, we use automated crawler technology to search and crawl government websites by setting a series of keywords, such as "support", "promote", "promote", "advance", "develop", "high quality", "encourage", "accelerate", etc. These keywords can effectively screen out documents related to government support.
[0088] Step 2: Data Preprocessing
[0089] The crawled file data needs to be cleaned and preprocessed for subsequent analysis, including removing irrelevant information, formatting dates, extracting file titles, and identifying the file publishing body level.
[0090] Step 3: Sentiment Analysis
[0091] Using natural language processing (NLP) technology and sentiment dictionaries, sentiment analysis is performed on government documents. The result of sentiment analysis is usually a score that indicates the document's positive or negative sentiment toward a certain industry or sector. The higher the score, the greater the government's support and encouragement for the relevant industry.
[0092] Step 4: Weight Assignment
[0093] Taking into account the extensiveness and timeliness of the policy, different weights are assigned to documents issued at different levels and times. For example, the weight of provincial-level documents is set at 1, that of municipal-level documents is 0.6, and that of district / county-level documents is 0.3. At the same time, the weight is further adjusted according to the time of document release: 1 for documents issued within one year, 0.8 for documents issued between one year and three years, 0.6 for documents issued between three years and five years, and 0.3 for documents issued between five years and five years.
[0094] Step 5: File score calculation
[0095] For each eligible government website document title, the score of each document is calculated based on its sentiment analysis score and weight. To prevent duplicate crawling of documents, documents published within a week and supporting the same industry are considered the same document.
[0096] Step 6: Extract industry names and add up scores
[0097] The industry name is extracted from each document, and the calculated document score is added to the corresponding industry. In this way, the government's emphasis on different industries and its emotional inclination can be reflected.
[0098] Step 7: Calculation of total industry score
[0099] The total score for a specific industry is calculated by adding up the scores of all relevant documents. This total score can be regarded as the degree of importance or sentiment of the industry by the local government of the province.
[0100] Step 8: Screening of local characteristic industries
[0101] By comparing the total scores of different industries, we can screen out industries with higher scores, which are likely to be the region's featured industries or industries that are given key government support.
[0102] Through the above method, we can effectively extract sentiment tendencies from government documents and generate sentiment index rankings. This method not only improves the efficiency of analysis, but also reduces the reliance on large amounts of labeled data by utilizing natural language processing technology. With the advancement of NLP technology, we believe that this method will play a greater role in future policy analysis and market research.
[0103] As a more practical solution, we can further screen enterprises based on the above: based on the industry definition, industry standards, relevant policy documents and existing enterprise lists obtained through screening, we can define the standards of a certain industry in a certain place and screen to form an enterprise database of a certain industry in a certain place:
[0104] First, define "province region" as "a province / autonomous region / municipality directly under the central government";
[0105] Second, define industry keywords, and limit the search scope to "company name", "trademark", "brand / product", and "company profile";
[0106] Third, consider the mainstream industry classifications involved in a certain industry and limit the industry search scope to them;
[0107] Fourth, considering the basic requirements of regional equity markets for listed companies, the types of companies are limited to "limited liability companies" and "joint stock companies";
[0108] Fifth, considering the basic requirements of regional equity markets for listed companies, the establishment period is limited to "more than 1 year";
[0109] Sixth, taking into account the basic requirements of regional equity markets for listed companies, the registration status will be limited to "existing".
[0110] Based on the above conditions, a database of enterprises in a certain industry in a certain place is screened, with a total of several qualified enterprises.
[0111] Above, we have screened out the key featured industries that are of concern to various places, as well as the enterprise database that has been preliminarily screened based on basic dimensions such as ownership structure, enterprise type, and regional distribution. Furthermore, from the enterprise database to the enterprise recommendation list, certain screening and sorting are required. First, the enterprise database data is desensitized and heterogeneous data is processed to form data that can be analyzed; then, basic conditions such as the registered capital, subject credit, and violations of regulations are formed, and further around the corresponding industries in the corresponding regions, based on the innovation and entrepreneurship environment of the region and whether the industry is a technology-intensive industry, based on the company's financial indicators such as net profit and operating income, and scientific and technological indicators such as the number of patents and certification types, selective conditions are formed to analyze which companies will be the companies that the fourth board market will pay attention to in the future. Finally, a list of enterprise cultivation is formed based on standards.
[0112] The sources of external big data are divided into three parts. Public data include public lists of "specialized, precise and innovative" small and medium-sized enterprises, local policy documents, and platform test results of the Ministry of Industry and Information Technology. The data sources that the Digital Research Institute has connected to include the State Administration for Market Regulation, which has authoritative industrial and commercial data, as well as Qichacha, which has richer data types, and Wind, which covers market data and operating data of listed companies. New data sources that can be added include listing reports of fourth-board companies, information disclosure data, and data reported by companies themselves to obtain services.
[0113] As mentioned above, when evaluating specialized and innovative enterprises in different regions and industries, regional and industry factors should be taken into consideration to develop a relatively reasonable and fair evaluation system.
[0114] The previous article divides all regions of the country into five levels from top to bottom according to the innovation and entrepreneurship environment. The first and second levels are concentrated in the Yangtze River Delta, Pearl River Delta and Bohai Bay areas of China. They are the main driving points of China's economic development. The innovation and entrepreneurship environment is better than other regions. They can be regarded as economically developed regions; the third and fourth levels basically include most provinces except the eastern part of China. The level of innovation and entrepreneurship environment is not high and the construction space is large. They can be regarded as medium-developing regions; the fifth level can be regarded as underdeveloped regions. The industry is divided into three types: technology-intensive, labor-intensive, and capital-intensive. Considering that "specialization, refinement, specialization, and novelty" are defined as "specialization, refinement, specialization, and novelty", technology-intensive enterprises are different from other enterprises, or they are more in line with the needs of the specialization, refinement, and specialization board. In summary, for the selected enterprise database of specific industries in specific regions, different evaluation indicators can be adopted according to regional and industry classifications.
[0115] First, there are basic conditions that must be met in the recommended lists of all regions and industries: first, the registered capital must be greater than 1 million yuan; second, there must be no major violations of laws and regulations in the past two years; third, actively fulfill social responsibilities and are not restricted executors or dishonest executors; fourth, branches and subsidiaries must be excluded; fifth, companies that have been listed or listed on the fourth board must be excluded.
[0116] Next, for non-technology-intensive labor or capital-intensive enterprises located in non-economically developed areas, the main selection conditions are financial indicators that measure the sustainable profitability of enterprises, such as net profit and its growth rate, operating income and its growth rate, sales revenue, etc., and set minimum standards. As long as the standards are met, they are not subject to the sustainable profitability standards if they are labeled as technology-based enterprises. It is also possible to calculate the specialization and innovation index for each enterprise in the enterprise database by performing a comprehensive multi-indicator score for each enterprise for verification model or reference.
[0117] Secondly, for all enterprises in economically developed regions and technology-intensive enterprises in industry classification, the selection conditions include not only sustainable profitability indicators such as net profit and operating income, but also scientific and technological capability indicators such as R&D investment, number of patents, and types of technology-based enterprise certifications obtained within the validity period (such as high-tech enterprises, technology-based SMEs, etc., as well as local characteristic certifications). Therefore, for these enterprises, after the same screening of sustainable profitability indicators, the streamlined enterprise database obtained by screening can be scored with multiple indicators to calculate the specialization and innovation index, and the minimum index standard for the recommended list can be obtained by analysis, and then the specialization and innovation index of all enterprises in the enterprise database can be calculated to screen out the recommended list.
[0118] With reference to the requirements of local stock exchanges for the financial indicators of specialized and new boards, the standards for sustainable profitability indicators in various regions are now stipulated as follows: 1. Economically developed regions: operating income of more than 20 million yuan in the previous year, or net profit of more than 2 million yuan; 2. Medium-developed regions: operating income of more than 15 million yuan in the previous year, or net profit of more than 1.5 million yuan; 3. Underdeveloped regions: operating income of more than 10 million yuan in the previous year, or net profit of more than 1 million yuan. In the actual screening process, appropriate adjustments can also be made according to the situation of the regional industry enterprise database.
[0119] Therefore, the Topsis method under the entropy weight method can be used to conduct a multi-indicator comprehensive evaluation of the enterprise to calculate the specialization and innovation index. The general process is as follows: Entropy weight method: 1. Data standardization 2. Calculate the information entropy of each indicator 3. Calculate the difference coefficient of each indicator 4. Determine the weight of each indicator 5. Multiply the normalized data by the weight respectively; Topsis method: 1. Forward the original matrix (convert it into an extremely large indicator) 2. Standardize the forward matrix 3. Determine the optimal and worst solutions 4. Calculate the degree of proximity between each evaluation object and the optimal and worst solutions 5. Calculate the degree of proximity between each evaluation object and the optimal solution 6. Obtain the calculated specialization and innovation enterprise evaluation index, and then the recommended list of screened enterprises can be given according to the degree of excellence (in the actual data processing process, consistency test is required, or hierarchical analysis method is required to assist in weighting), and the evaluation results of whether the evaluated enterprise can be included in the board can also be obtained.
[0120] Based on the above scheme, an industry confirmation model based on the industrial characteristics of each region is constructed. The enterprise data of the enterprise to be evaluated is input into the industry confirmation model. Then the industry data confirmation result (that is, the score of whether it can be admitted from the perspective of the industry) is output to determine whether it can be admitted.
[0121] Based on the above specific implementation plan, multiple maintenance of the enterprise to be evaluated can be evaluated from different dimensions to comprehensively evaluate whether the enterprise can meet the entry requirements of specialized, sophisticated and innovative enterprises.
[0122] like Figure 3 As shown, the electronic device 800 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 801, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 802 or a program loaded from a storage device 808 into a random access memory (RAM) 803. In the RAM 803, various programs and data required for the operation of the electronic device 800 are also stored. The processing device 801, the ROM 802, and the RAM 803 are connected to each other via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.
[0123] Typically, the following devices may be connected to the I / O interface 805: input devices 806 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 807 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 808 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 809. The communication device 809 may allow the electronic device 800 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 3 The electronic device 800 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as required.
[0124] In particular, according to some embodiments of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from the network through the communication device 809, or installed from the storage device 808, or installed from the ROM 802. When the computer program is executed by the processing device 801, the above-mentioned functions defined in the method of some embodiments of the present disclosure are executed.
[0125] It should be noted that the computer-readable medium described above in some embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.
[0126] In some embodiments of the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device, or device. In some embodiments of the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in combination with an instruction execution system, device, or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.
[0127] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperTextTransferProtocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an adhoc peer-to-peer network), as well as any currently known or future developed network.
[0128] The computer-readable medium may be included in the electronic device, or may exist independently without being installed in the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: obtains the enterprise data of the enterprise to be evaluated; selects the corresponding enterprise capability evaluation model according to the enterprise access path type of the enterprise to be evaluated; inputs the enterprise data into the enterprise capability evaluation model so that the evaluation model outputs the enterprise evaluation result.
[0129] Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).
[0130] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, which contains one or more executable instructions for implementing a specified logical function.
[0131] It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures.
[0132] For example, two boxes shown in succession may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of boxes in the block diagram and / or flow chart, can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.
[0133] The units described in some embodiments of the present disclosure may be implemented by software or by hardware.
[0134] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.
[0135] The above descriptions are only some preferred embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalent features without departing from the above-mentioned inventive concept. For example, the above-mentioned features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to) and the technical solutions formed.
Claims
1. A method for evaluating enterprise capabilities, comprising: Obtain enterprise data of the enterprise to be evaluated; According to the enterprise access path type of the enterprise to be evaluated, select a corresponding enterprise capability evaluation model; The enterprise data is input into the enterprise capability evaluation model so that the evaluation model outputs an enterprise evaluation result.
2. The enterprise capability evaluation method according to claim 1, characterized in that: The types of enterprise access pathways include: index access pathway, investment access pathway, and industry access pathway; The enterprise capability evaluation model includes: an index calculation model, an investment confirmation model and an industry confirmation model.
3. The enterprise capability evaluation method according to claim 2, characterized in that: in, The step of inputting the enterprise data into the enterprise capability evaluation model and outputting the enterprise evaluation result by the evaluation model includes: When the enterprise access path type is an index access path, the enterprise data is input into the index calculation model to obtain the enterprise capability evaluation index of the enterprise to be evaluated as the enterprise evaluation result.
4. The enterprise capability evaluation method according to claim 3, characterized in that: in, The step of inputting the enterprise data into the enterprise capability evaluation model and outputting the enterprise evaluation result by the evaluation model includes: When the enterprise access path type is an investment access path, the enterprise data is input into the investment confirmation model to obtain the investment data confirmation result of the enterprise to be evaluated as the enterprise evaluation result.
5. The enterprise capability evaluation method according to claim 4, characterized in that: in, The step of inputting the enterprise data into the enterprise capability evaluation model and outputting the enterprise evaluation result by the evaluation model includes: When the enterprise access path type is an industry access path, the enterprise data is input into the industry confirmation model to obtain the industry data confirmation result of the enterprise to be evaluated as the enterprise evaluation result.
6. The enterprise capability evaluation method according to any one of claims 1 to 5, characterized in that: The enterprise capability evaluation method further includes: Obtaining a data set of enterprise data of different types of enterprise access pathways; A plurality of enterprise capability evaluation models corresponding to the enterprise access path types are constructed or trained based on the data set.
7. The enterprise capability evaluation method according to claim 6, characterized in that: The enterprise capability evaluation method further includes: Determine whether the enterprise to be evaluated is an approved enterprise based on the enterprise evaluation result.
8. An enterprise capability evaluation device, comprising: An acquisition module, used to acquire enterprise data of the enterprise to be evaluated; A selection module, for selecting a corresponding enterprise capability evaluation model according to the enterprise access path type of the enterprise to be evaluated; The output module is used to input the enterprise data into the enterprise capability evaluation model to output the enterprise evaluation result through the evaluation model.
9. An electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon; When the one or more programs are executed by the one or more processors, the processors implement the method according to any one of claims 1 to 7.
10. A computer readable medium having a computer program stored thereon, wherein: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.
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