CN113837648A

CN113837648A - Enterprise relevance analysis method and device and associated enterprise recommendation method and device

Info

Publication number: CN113837648A
Application number: CN202111181828.8A
Authority: CN
Inventors: 汪雪松; 龚一亭; 徐俊竹
Original assignee: Iflytek Information Technology Co Ltd
Current assignee: Iflytek Information Technology Co Ltd
Priority date: 2021-10-11
Filing date: 2021-10-11
Publication date: 2021-12-24
Anticipated expiration: 2041-10-11
Also published as: CN113837648B

Abstract

The invention provides an enterprise relevance analysis method, an associated enterprise recommendation method and an associated enterprise recommendation device, wherein the method comprises the following steps: acquiring an enterprise set, wherein the enterprise set comprises enterprises to be analyzed and candidate related enterprises of the enterprises to be analyzed; clustering the enterprises based on the supply chain characteristics of the enterprises in the enterprise set, and taking candidate related enterprises which belong to the same cluster with the enterprise to be analyzed as related enterprises of the enterprise to be analyzed; wherein the supply chain characteristics are determined based on supply chain information of a supply chain in which the corresponding enterprise is located and/or a degree of importance of the corresponding enterprise in the supply chain. The method and the device provided by the invention realize the automatic analysis of the enterprise relevance, do not depend on the working experience and subjective judgment of personnel any more, improve the data utilization rate of enterprise financial and newspaper texts, and improve the accuracy and efficiency of enterprise relevance analysis.

Description

Enterprise relevance analysis method and device and associated enterprise recommendation method and device

Technical Field

The invention relates to the technical field of computers, in particular to an enterprise relevance analysis method, an associated enterprise recommendation method and an associated enterprise recommendation device.

Background

For enterprise development, enterprises which are potentially associated with or similar to the enterprises are found in the industry, and great reference significance is provided for the development of the enterprises. For example, if a competitor or a potential competitor is found from the associated enterprise, the problems of the associated enterprise in the production operation can be considered as a reference sample, and the associated enterprise can be listed as a potential cooperative object.

At present, the correlation between enterprises is obtained by analyzing financial data, customer information, production and operation data and the like of the enterprises in a manual mode through professionals, the correlation seriously depends on the working experience and subjective judgment of personnel, the data processing efficiency is low, and the accuracy is poor.

Disclosure of Invention

The invention provides an enterprise relevance analysis method, an enterprise relevance recommendation method and an enterprise relevance recommendation device, which are used for solving the technical problems that in the prior art, analysis of relevance among enterprises depends on working experience and subjective judgment of personnel, the data processing efficiency is low, and the accuracy is poor.

The invention provides an enterprise relevance analysis method, which comprises the following steps:

acquiring an enterprise set, wherein the enterprise set comprises enterprises to be analyzed and candidate related enterprises of the enterprises to be analyzed;

clustering the enterprises based on the supply chain characteristics of the enterprises in the enterprise set, and taking candidate related enterprises which belong to the same cluster with the enterprise to be analyzed as related enterprises of the enterprise to be analyzed;

wherein the supply chain characteristics are determined based on supply chain information of a supply chain in which the corresponding enterprise is located and/or a degree of importance of the corresponding enterprise in the supply chain.

According to the method for analyzing the enterprise relevance, the clustering of each enterprise based on the supply chain characteristics of each enterprise in the enterprise set comprises the following steps:

and clustering the enterprises based on the supply chain characteristics of the enterprises in the enterprise set and the external environment characteristics and/or internal business characteristics of the enterprises.

According to the enterprise relevance analysis method provided by the invention, the supply chain of any enterprise is determined based on the following steps:

determining direct upstream and downstream enterprises of each enterprise and transaction amount between each enterprise and the direct upstream and downstream enterprises based on the financial report text of each enterprise;

establishing an initial supply chain of any enterprise by taking any enterprise as an initial node, taking a direct upstream and downstream enterprise of any enterprise as an adjacent node and taking the transaction amount between any enterprise and the direct upstream and downstream enterprise as an edge;

and expanding the initial supply chain of any enterprise to obtain the supply chain of any enterprise based on the direct upstream and downstream enterprises of all enterprises except any enterprise and the transaction amount between all enterprises except any enterprise and the direct upstream and downstream enterprises of all enterprises.

According to the enterprise relevance analysis method provided by the invention, the supply chain information of the supply chain corresponding to the enterprise comprises at least one of net profit margin, operational risk, relative capacity and operating efficiency.

According to the enterprise relevance analysis method provided by the invention, the operation risk of the supply chain where the corresponding enterprise is located is determined based on the following steps:

determining the static management risk of each supply chain enterprise based on the financial and newspaper text of each supply chain enterprise in the supply chain where the corresponding enterprise is located;

determining a forward propagation risk of any supply chain enterprise based on a static business risk of the any supply chain enterprise, a forward propagation risk of an enterprise immediately upstream of the any supply chain enterprise, and a procurement amount between the any supply chain enterprise and the enterprise immediately upstream of the any supply chain enterprise;

determining a back-propagation risk for the any supply chain enterprise based on the forward-propagation risk for the any supply chain enterprise, the back-propagation risk for an enterprise immediately downstream of the any supply chain enterprise, and business credits between the any supply chain enterprise and an enterprise immediately downstream of the any supply chain enterprise;

and determining the operation risk of the supply chain in which the corresponding enterprise is positioned based on the back propagation risk of each supply chain enterprise in the supply chain in which the corresponding enterprise is positioned.

According to the enterprise relevance analysis method provided by the invention, the operation efficiency of the supply chain where the corresponding enterprise is located is determined based on the following steps:

determining a corrected transaction amount corresponding to any side based on the transaction amount corresponding to any side in a supply chain where the corresponding enterprise is located and the number of complete supply paths passing through any side;

determining a path weight of any complete supply path in the supply chain of the corresponding enterprise based on the corrected transaction amount corresponding to each edge of the complete supply path;

determining the operation efficiency of the supply chain of the corresponding enterprise based on the path weight of each complete supply path in the supply chain of the corresponding enterprise, the number of enterprises of each complete supply path and the number of complete supply paths;

wherein the complete supply path is a supply path connecting the most upstream enterprise and the most downstream enterprise in the supply chain in which the corresponding enterprise is located.

According to the method for analyzing the enterprise relevance, the relative capacity of the supply chain corresponding to the enterprise is determined based on the following steps:

acquiring a current period financial report text and a previous period financial report text of each supply chain enterprise in a supply chain where the corresponding enterprise is located;

determining the current period total cost and the current period total income of the supply chain where the corresponding enterprise is located based on the current period financial report text of each supply chain enterprise;

determining the total cost of the last period and the total income of the last period of the supply chain where the corresponding enterprise is located based on the text of the previous period financial report of each supply chain enterprise;

determining the relative capacity of the supply chain of the corresponding enterprise based on the total cost of the supply chain of the corresponding enterprise in the current period, the total income of the current period, the total cost of the previous period and the total income of the previous period;

wherein the total cost of the supply chain in which the corresponding enterprise is located is determined based on the purchase amount between the supply chain enterprises in which the corresponding enterprise is located;

the total revenue of the supply chain for the corresponding business is determined based on sales amounts between the various supply chain businesses in the supply chain for the corresponding business.

According to the enterprise relevance analysis method provided by the invention, the importance degree of the corresponding enterprise in the supply chain is determined based on the following steps:

determining the number of all complete supply paths in the supply chain where the corresponding enterprise is located;

determining a number of remaining complete supply paths after the corresponding business is removed from the supply chain in which the corresponding business is located;

determining the importance level of the corresponding enterprise in the supply chain based on the number of all complete supply paths and the number of the remaining complete supply paths.

The invention provides a method for recommending associated enterprises, which comprises the following steps:

receiving an enterprise to be analyzed sent by a client;

and determining the related enterprises of the enterprise to be analyzed based on the enterprise relevance analysis method, and returning the related enterprises to the client as recommended enterprises.

The invention provides an enterprise relevance analysis device, comprising:

the enterprise analysis system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring an enterprise set, and the enterprise set comprises an enterprise to be analyzed and candidate related enterprises of the enterprise to be analyzed;

the analysis unit is used for clustering all enterprises based on the supply chain characteristics of the enterprises in the enterprise set, and taking candidate related enterprises which belong to the same cluster with the enterprise to be analyzed as related enterprises of the enterprise to be analyzed;

The invention provides a recommendation device for associated enterprises, which comprises:

the receiving unit is used for receiving the enterprise to be analyzed sent by the client;

and the recommending unit is used for determining the related enterprises of the enterprise to be analyzed based on the enterprise relevance analyzing method and returning the related enterprises to the client as recommended enterprises.

The invention provides electronic equipment, which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the steps of the enterprise relevance analysis method or the steps of the associated enterprise recommendation method when executing the computer program.

The present invention provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the business association analysis method or the associated business recommendation method.

The enterprise relevance analysis method, the associated enterprise recommendation method and the associated enterprise recommendation device provided by the invention have the advantages that the supply chain of each enterprise is determined through the financial report text of each enterprise, the supply chain characteristics of the corresponding enterprise are determined according to the supply chain information of the supply chain where the corresponding enterprise is located and/or the importance degree of the corresponding enterprise in the supply chain, the enterprises are clustered according to the supply chain characteristics of the enterprises in the enterprise set, the candidate associated enterprises which belong to the same cluster with the enterprise to be analyzed are used as the associated enterprises of the enterprise to be analyzed, the automatic analysis of the enterprise relevance is realized, the working experience and the subjective judgment of personnel are not relied on, the data utilization rate of the enterprise financial report text is improved, and the accuracy and the efficiency of the enterprise relevance analysis are improved.

Drawings

In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.

FIG. 1 is a schematic flow chart of an enterprise relevance analysis method provided by the present invention;

FIG. 2 is a schematic flow chart of a supply chain determination method according to the present invention;

FIG. 3 is a schematic diagram of a supply chain provided by the present invention;

FIG. 4 is a schematic flow chart of a business risk determination method provided by the present invention;

FIG. 5 is a schematic flow chart of a method for determining operating efficiency according to the present invention;

FIG. 6 is a flowchart illustrating a method for determining relative capacity according to the present invention;

FIG. 7 is a schematic flow chart of a method for determining importance according to the present invention;

FIG. 8 is a flowchart illustrating a method for recommending associated enterprises according to the present invention;

fig. 9 is a schematic structural diagram of an enterprise relationship analysis apparatus provided in the present invention;

FIG. 10 is a schematic structural diagram of an associated enterprise recommendation device provided in the present invention;

fig. 11 is a schematic structural diagram of an electronic device provided in the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

In the prior art, whether the enterprises are related or not is generally determined subjectively by professionals according to data of the operation range, the operation scale, the customer information and the like of each enterprise. The association here can be understood as the association between enterprises in terms of production and management, and the association can be embodied as the similarity of production and management of enterprises.

Fig. 1 is a schematic flow chart of an enterprise relevance analysis method provided by the present invention, and as shown in fig. 1, the method includes:

step 110, acquiring an enterprise set, wherein the enterprise set comprises the enterprise to be analyzed and candidate related enterprises of the enterprise to be analyzed.

Specifically, in the enterprise relevance analysis method in the embodiment of the present invention, the enterprise to be analyzed is used as a reference enterprise, and the associated enterprise of the enterprise to be analyzed is determined among the multiple candidate associated enterprises.

The business to be analyzed and the candidate related businesses of the business to be analyzed may be considered as a business set. Financial text and the like for each enterprise in the set of enterprises may be obtained from public databases. For example, the enterprise to be analyzed and the candidate related enterprises may be selected from listed companies, the enterprise set is the entire listed companies, and the published financial statement text, i.e., the financial statement text, of each listed company may be acquired from the network platform by using a crawler technology.

In addition, in order to reduce the calculation amount, the enterprise set can be determined according to the listed companies in the same region or the same industry.

Step 120, clustering all enterprises based on the supply chain characteristics of all enterprises in the enterprise set, and taking candidate related enterprises which belong to the same cluster with the enterprise to be analyzed as related enterprises of the enterprise to be analyzed; wherein the supply chain characteristics are determined based on supply chain information of a supply chain in which the corresponding business is located and/or a degree of importance of the corresponding business in the supply chain.

Specifically, the supply chain refers to a network chain structure formed by upstream enterprises and downstream enterprises involved in providing products or services to end user activities in production and circulation processes. The upstream enterprise and the downstream enterprise corresponding to different enterprises may be the same or different, and the business relationship between the upstream enterprise and the downstream enterprise may be the same or different, so that the supply chain in which each enterprise is located may be the same or different. The upstream and downstream enterprises corresponding to the enterprise and the business relationship between the enterprise and the upstream and downstream enterprises can be obtained from the financial report text of the enterprise, that is, the enterprise can be determined in the supply chain according to the financial report text of the enterprise and the enterprise related to the enterprise. For example, for any enterprise, the crawler technology can be used for acquiring the upstream and downstream enterprises corresponding to the enterprise and the transaction amount between the enterprises from the fund withdrawal management and the payment management in the financial and newspaper text of the enterprise. After obtaining the financial report text of each enterprise related to the enterprise, the upstream and downstream enterprises of each enterprise and the transaction amount between the enterprises can be obtained. By combining these information, the relevant information of the whole supply chain of the enterprise can be obtained.

Besides the financial report text, the upstream and downstream enterprises corresponding to the enterprise and the business relationship between the enterprise and the upstream and downstream enterprises can also be obtained from other public information. For example, other public information may be an official website of the business, news reports related to the business, public data published by an industry association in which the business is located, and so forth.

The supply chain characteristics are used for describing the performance characteristics of the enterprise on the supply chain relations. The supply chain characteristics may be determined based on supply chain information for the supply chain in which the corresponding business is located and/or the importance of the corresponding business in the supply chain in which it is located. The supply chain information is used for describing the operation state of the supply chain and can comprise information such as the number of enterprises of the supply chain, business dependency relationship among the enterprises, and business transaction amount among the enterprises. The importance of a business in a supply chain is used to describe how much the business affects each business in the supply chain.

For example, the supply chain information of a certain enterprise includes an accounts receivable item and an accounts payable item of the enterprise, the accounts receivable item is a raw material fee that the enterprise should pay for an upstream enterprise, the accounts receivable item is a product fee that a downstream enterprise should pay for the enterprise, if the accounts payable item is greater than a preset value, it indicates that the enterprise occupies funds of the upstream enterprise and is in a strong position relative to the upstream enterprise, and if the accounts receivable item is less than the preset value, it indicates that the capital of the enterprise is fast rewarded, the product fee is paid actively by the downstream enterprise, and the enterprise is in a strong position relative to the downstream enterprise. That is, based on the supply chain information of the enterprise, it can be determined that the enterprise is strongly represented in the supply chain relationship, which can be used as the supply chain feature of the enterprise.

For another example, if a production operation of a certain enterprise in a supply chain is stopped, and the whole supply chain is stopped, the importance level of the enterprise in the supply chain is important. If the production and operation activities of an enterprise stop and the influence degree on the whole supply chain is low, the importance degree of the enterprise in the supply chain is unimportant. The importance of the business in the supply chain may also be used to determine supply chain characteristics.

The enterprises can be clustered according to the supply chain characteristics of the enterprises in the enterprise set, and the candidate related enterprises which belong to the same cluster with the enterprise to be analyzed are used as the related enterprises of the enterprise to be analyzed.

For example, first, a set of businesses C may be determined_EnterpriseAnd a supply chain feature similarity threshold; secondly, calculating the similarity of the supply chain characteristics between two enterprises according to the supply chain characteristics of the two enterprises, if the similarity of the supply chain characteristics is greater than or equal to a similarity threshold value, dividing the two enterprises into the same cluster, and clustering each enterprise in the enterprise set according to the method to obtain a plurality of enterprise clusters; and finally, taking the candidate related enterprises which belong to the same cluster with the enterprise to be analyzed as the related enterprises of the enterprise to be analyzed.

In the aspect of the Clustering method, dbscan (Density-Based Clustering of Applications with Noise, Density-Based Clustering method), hierarchical Clustering, K-means (K-means Clustering algorithm), and the like may be selected, and the embodiment of the present invention is not particularly limited.

Candidate related enterprises which can belong to the same cluster as the enterprise to be analyzed are obtained through enterprise clustering, and the enterprises which belong to the same cluster are similar in representation of supply chain characteristics, so that the candidate related enterprises which belong to the same cluster as the enterprise to be analyzed can be used as the related enterprises of the enterprise to be analyzed.

The enterprise relevance analysis method provided by the embodiment of the invention determines the supply chain of each enterprise through the financial report text of each enterprise, determines the supply chain characteristics of the corresponding enterprise according to the supply chain information of the supply chain where the corresponding enterprise is located and/or the importance degree of the corresponding enterprise in the supply chain, clusters each enterprise according to the supply chain characteristics of each enterprise in an enterprise set, and takes the candidate associated enterprise belonging to the same cluster as the enterprise to be analyzed as the associated enterprise of the enterprise to be analyzed, so that the automatic analysis of the enterprise relevance is realized, the working experience and subjective judgment of personnel are not relied on, the data utilization rate of the enterprise financial report text is improved, and the accuracy and efficiency of the enterprise relevance analysis are improved.

Based on the above embodiment, step 120 includes:

and clustering the enterprises based on the supply chain characteristics of the enterprises in the enterprise set and the external environment characteristics and/or the internal operation characteristics of the enterprises.

Specifically, the external environmental characteristics are used for describing the influence of the macro economic environment of the enterprise on the production and operation activities of the enterprise, for example, the external environmental characteristics can be characterized by the average interest rate of banks, the total value increase rate of national production, the change rate of industry production value and other factors.

The internal operational characteristics are used to describe the influence of internal factors of the enterprise on the production and operation activities of the enterprise, for example, the internal operational characteristics can be characterized by factors such as financial structure, customer distribution, production and operation strategy and the like.

When the enterprises are clustered, the similarity of the enterprises on the supply chain characteristics can be considered, and the similarity of the enterprises on the external environment characteristics and/or the internal business characteristics can also be considered, so that the related enterprises exist on the supply chain level and the external environment and/or the internal business level.

Further, the supply chain characteristics of each enterprise may be employed in clustering

External environmental characteristics

And internal business features

For any enterprise in the enterprise collection, its enterprise characteristics

Can be expressed as:

according to the enterprise relevance analysis method provided by the embodiment of the invention, the supply chain characteristics, the external environment characteristics and the internal operation characteristics are used as clustering bases, so that the accuracy of enterprise relevance analysis is improved.

Based on any of the above embodiments, fig. 2 is a schematic flow chart of the supply chain determining method provided by the present invention, and as shown in fig. 2, the supply chain of any enterprise is determined based on the following steps:

step 210, determining direct upstream and downstream enterprises of each enterprise and transaction amount between each enterprise and the direct upstream and downstream enterprises based on the financial report text of each enterprise.

Specifically, the financial report text of each enterprise may be a latest financial report text or a historical financial report text, and the time selection of the financial report text may be determined according to the enterprise relevance analysis requirement.

The "upstream enterprise directly providing equipment, raw materials and the like for any enterprise" and the "downstream enterprise directly purchasing finished products thereof", that is, the direct upstream enterprise (direct supplier) and the direct downstream enterprise (direct customer) associated with the enterprise, can be extracted from the financial text of any enterprise, and the transaction amount between the enterprise and the direct upstream and downstream enterprise in the financial text is acquired. The existing crawler algorithm and text parsing algorithm may be adopted, which is not specifically limited in this embodiment of the present invention.

For any enterprise, the number of corresponding direct upstream enterprises can be multiple, the number of corresponding direct downstream enterprises can be multiple, and the specific number is determined according to the actual conditions recorded in the financial report text.

Step 220, with any enterprise as an initial node, with the direct upstream and downstream enterprises of the enterprise as neighboring nodes, and with the transaction amount between the enterprise and the direct upstream and downstream enterprises as an edge, an initial supply chain of the enterprise is constructed.

Specifically, an initial supply chain of an enterprise may be first constructed by using any enterprise as an initial node, using an enterprise immediately upstream and downstream of the enterprise as an adjacent node, and using the transaction amount between the enterprise and the enterprise immediately upstream and downstream as an edge. The direction of the edge in the supply chain is used to represent the upstream and downstream relationship. For example, if an edge points from enterprise P to enterprise Q, it can be shown that enterprise Q is a downstream enterprise of enterprise P, or that enterprise P is an upstream enterprise of enterprise Q.

And step 230, expanding the initial supply chain of the enterprise to obtain the supply chain of the enterprise based on the direct upstream and downstream enterprises of the enterprises except the enterprise and the transaction amount between the enterprises except the enterprise and the direct upstream and downstream enterprises of the enterprises.

Specifically, the initial supply chain of the enterprise may be extended according to the direct upstream and downstream enterprises of the enterprises other than the enterprise and the transaction amounts between the enterprises other than the enterprise and the direct upstream and downstream enterprises of the enterprises, that is, the enterprises may be added into the initial supply chain as the previous node or the subsequent node according to the upstream and downstream relationship, so as to obtain the supply chain of the enterprise.

Fig. 3 is a schematic diagram of a supply chain provided by the present invention, and as shown in fig. 3, the supply chain may be represented by establishing a DAG (Directed Acyclic Graph).

In a supply chain DAG, various nodes in the supply chain can be traversed. For example, for two adjacent nodes P and Q, the supply chain relationship may be represented as { P → Q, M }, indicating that enterprise P is an upstream enterprise of enterprise Q and the transaction amount between the two enterprises is M.

After the above steps are performed, there may be loops in the resulting DAG, which affect the complete representation of the main supply chain relationships, and possible loops in the supply chain DAG should be eliminated as much as possible.

There may be a case of commission processing in the supply chain relationship between two enterprises, for example, enterprise Q purchases raw material with an amount of M1 from enterprise P (enterprise P is an upstream enterprise and enterprise Q is a downstream enterprise in this transaction), enterprise P purchases raw material with an amount of M2 from enterprise Q (enterprise Q is an upstream enterprise and enterprise P is a downstream enterprise in this transaction), and the raw materials correspond to the supply chain DAG, that is, { P → Q, M1} and { Q → P, M2} exist at the same time. At this time, the edge corresponding to the larger value should be reserved, the other edge is deleted correspondingly, and the value of the reserved directed edge is reset to be the difference value between the value of the reserved directed edge and the value of the deleted edge. If M1> M2, then { Q → P, M2} is deleted and { P → Q, M1} is modified to { P → Q, M1-M2 }.

If a plurality of nodes exist in the supply chain, the plurality of nodes are sequentially connected in the direction of edges between the nodes to form a ring, for example, for an enterprise P, an enterprise Q and an enterprise R, an upstream enterprise in which the enterprise P is the enterprise Q, an upstream enterprise in which the enterprise Q is the enterprise R and an upstream enterprise in which the enterprise R is the enterprise P exist, and corresponding to the supply chain DAG, there exist { P → Q, M1}, { Q → R, M2} and { Q → P, M3}, that is { P → Q → R → P }, all the nodes may form a ring, considering that such a scenario is unrealistic and rarely occurs in practice, in order to avoid a process affecting subsequent calculations, the embodiment of the present invention deletes the edge with the smallest amount in the ring, so as to break the ring structure, and make the main supply chain relationship obtain a complete representation. If M1> M2> M3, { Q → P, M3} is deleted.

To facilitate analysis, virtual start and end nodes may also be added in the supply chain DAG. The start node is connected with nodes corresponding to all the most upstream enterprises in the supply chain, and the end node is connected with nodes corresponding to all the most downstream enterprises in the supply chain.

The business upstream is the business in the supply chain that has only the business downstream directly, but not the business upstream directly, indicating that the business is the source of the raw material supplier in the entire supply chain.

The most downstream enterprise is an enterprise in the supply chain that has only immediate upstream enterprises and no immediate downstream enterprises, indicating that the enterprise is the end point of the product manufacturer in the entire supply chain.

It should be noted that the supply chain of any enterprise is different from the supply chain of other enterprises, because the cooperation between the enterprises is independent and different.

The enterprise relevance analysis method provided by the embodiment of the invention establishes the supply chain according to the financial and newspaper texts of each enterprise, has real and effective data, does not depend on the working experience and subjective judgment of personnel any more, improves the data utilization rate of the financial and newspaper texts of the enterprise, and improves the accuracy and efficiency of enterprise relevance analysis.

According to any of the above embodiments, the supply chain information corresponding to the supply chain in which the enterprise is located includes at least one of net profit margin, operational risk, relative capacity, and operational efficiency.

Specifically, the net profit margin is the ratio of the total net profit to the total cost of the supply chain corresponding to the enterprise in an accounting period.

The influence factors of the net profit margin include the aspects of income and cost, and also include various factors such as debt capital cost, equity capital cost of an enterprise, capital structure of the enterprise and the like.

For the supply chain where the corresponding enterprise is located, the total cost of the supply chain is the sum of fixed assets and raw materials purchased by the enterprises in the supply chain from the enterprises in the non-local supply chain, and the sum is expressed by the formula:

the total net profit is the sum of net profits of enterprises in the supply chain, and is formulated as:

total net profit ═ Σ_{Enterprise y belongs to the supply chain}Net profit of y

The net profit margin P of the supply chain where the corresponding enterprise is located can be obtained_{Net of supply chainProfit margin}Is formulated as:

wherein, the current period is the current accounting period, and the previous period is the last accounting period. The solving method of the change rate of the total net profit in the current period compared with the total net profit in the previous period is as follows: the difference between the total net profit of the current period and the total net profit of the previous period is solved, and the ratio of the difference to the total net profit of the previous period is taken as the change rate of the total net profit. The solving method of the change rate of the current total cost compared with the previous total cost is similar to the above method, and is not described again.

The operation risk is the possibility that the operation difficulty occurs to other enterprises in the supply chain due to the operation difficulty occurring to the upstream and downstream enterprises in the supply chain where the corresponding enterprise is located, and can be represented as P_{Operational risk of supply chain}。

The relative capacity is the ability of the supply chain corresponding to the enterprise to generate products by using input equipment, raw materials and the like, and is used for representing the relation between the input and the output of the supply chain, and can be represented as P_{Relative capacity of supply chain}。

The operation efficiency is the fund flow rate of the supply chain where the corresponding enterprise is located, is used for characterizing the operation efficiency of the supply chain, and can be expressed as P_{Operating efficiency of supply chain}。

On the basis, the importance degree P of the corresponding enterprise in the supply chain is considered_{Corresponding to the importance of the enterprise}Supply chain characteristics of any enterprise

Can be expressed as:

according to the enterprise relevance analysis method provided by the embodiment of the invention, the supply chain characteristics of the corresponding enterprise are determined according to the net profit margin, the operation risk, the relative productivity and the operation efficiency of the supply chain where the corresponding enterprise is located and the importance degree of the corresponding enterprise in the supply chain, so that the accuracy of enterprise relevance analysis is improved.

Based on any of the above embodiments, fig. 4 is a schematic flow chart of the operation risk determining method provided by the present invention, as shown in fig. 4, the method includes:

step 410, determining the static operational risk of each supply chain enterprise based on the financial report text of each supply chain enterprise in the supply chain where the corresponding enterprise is located.

Specifically, the static operational risk of each supply chain enterprise can be obtained according to the existing calculation method according to the financial report text of each supply chain enterprise in the supply chain where the corresponding enterprise is located.

The static operational risk is the inherent and static production operation and financial risk of each enterprise, and can be marked as SRISK.

For an enterprise, the business risk comes not only from the static business risk itself, but also from the propagation risk of the enterprise upstream and downstream of the whole supply chain due to malpractice. The propagation risk includes a forward propagation risk and a backward propagation risk.

The forward propagation risk is that when an upstream enterprise has difficulty in production and operation, a downstream enterprise may have risks of failing to obtain material supply in time, needing to purchase other enterprises, and the like.

The back propagation risk is the risk that business credit provided by an upstream enterprise to a downstream enterprise before can not be recovered when the downstream enterprise has difficulty in production and operation.

And step 420, determining the forward propagation risk of any supply chain enterprise based on the static operation risk of any supply chain enterprise, the forward propagation risk of any supply chain enterprise which is directly upstream of the supply chain enterprise and the purchase amount between any supply chain enterprise and any supply chain enterprise which is directly upstream of the supply chain enterprise.

Specifically, the enterprise immediately downstream in the supply chain of any supply chain enterprise P is Q, i.e., the supply chain enterprise P is the enterprise immediately upstream of the supply chain enterprise Q.

In the risk forward propagation process, for the downstream enterprise Q, if the upstream enterprise P has difficulty in operation, the material originally purchased from P needs to be purchased from other upstream enterprises, and this arrangement may expose Q to certain risks, including the risk of price increase of a new supplier, the risk of not having a suitable new supplier, the risk of not confirming that the new supplier causes raw materials not in place and thus production is forced to be suspended, and the like.

The risk influence surface is numerous, the actual quantitative calculation can be influenced, and the trouble can be simply measured from the following angles: under other same conditions, if the purchase amount from the P is high, the greater the risk is; if the two-way business such as entrusted processing exists, the risk is higher than that of a single business which is purchased only.

The method for calculating the forward propagation risk of any supply chain enterprise Q comprises the following steps:

firstly, calculating the static operation risk of each supply chain enterprise in the supply chain, and taking the static operation risk as an initial forward propagation risk;

secondly, according to the static business risk SRISK (Q) of the supply chain enterprise Q and the forward propagation risk of the enterprise P directly upstream of the supply chain enterprise Q in a mode of gradually iterating from the upstream enterprise to the downstream enterprise in the supply chain^{Forward direction}(P), and a purchase amount tromble (P, Q) between a supply chain enterprise Q and an enterprise P immediately upstream of the supply chain enterprise, determining a forward propagation risk of the supply chain enterprise Q^{Forward direction}(Q), formulated as:

risk^{forward direction}(Q)＝SRISK(Q)+∑_{Direct upstream enterprise with P ∈ Q}risk^{Forward direction}(P)×trouble(P,Q)

There may be a plurality of immediate upstream enterprises P.

At step 430, a back-propagation risk for any of the supply chain enterprises is determined based on the forward-propagation risk for any of the supply chain enterprises, the back-propagation risk for any of the supply chain enterprises that is directly downstream of any of the supply chain enterprises, and business credits between any of the supply chain enterprises and any of the supply chain enterprises that is directly downstream of any of the supply chain enterprises.

Specifically, in the back-propagation process, when an upstream enterprise provides material for a downstream enterprise, the downstream enterprise settles money to the upstream enterprise. Such payment includes not only cash, but also business credit provided by the upstream enterprise to the downstream enterprise, i.e., the downstream enterprise may defer payment for a certain amount of time and settle after the enterprise has eased. Given the difficulty of downstream enterprises, it is clear that the risk of its delivery to upstream enterprises is a risk of arrears failing to perform.

In the embodiment of the present invention, the enterprise P is still used as an upstream enterprise, and the enterprise Q is used as a downstream enterprise for explanation.

The method for calculating the back propagation risk of any supply chain enterprise P comprises the following steps:

firstly, calculating forward propagation risks of supply chain enterprises in a supply chain, and taking the forward propagation risks as initial backward propagation risks;

second, risk is propagated forward in the supply chain according to supply chain enterprise P in a stepwise iterative manner from downstream enterprise to upstream enterprise^{Forward direction}(P), Back propagation Risk of an Enterprise Q directly downstream of the supply chain Enterprise P^{Reverse direction}(P), and business credit between supply chain enterprise P and an enterprise immediately downstream of supply chain enterprise Q, determining a back propagation risk for supply chain enterprise P^{Reverse direction}(P), formulated as:

wherein, there may be a plurality of direct downstream enterprises Q.

Step 440, determining the operational risk of the supply chain in which the corresponding enterprise is located based on the back propagation risk of each supply chain enterprise in the supply chain in which the corresponding enterprise is located.

Specifically, the risk of back propagation is calculated in an accumulated manner on the basis of the risk of forward propagation, and the business risk P of the supply chain where the corresponding enterprise is located_{Operational risk of supply chain}The sum of the back propagation risks for each supply chain enterprise is formulated as:

P_{operational risk of supply chain}＝∑_{Enterprise y belongs to the supply chain}risk^{Reverse direction}(y)

Wherein the enterprise y is an enterprise in the supply chain where the corresponding enterprise is located.

According to the enterprise relevance analysis method provided by the embodiment of the invention, the forward propagation risk and the backward propagation risk are calculated according to the financial report texts of each supply chain enterprise in the supply chain corresponding to the enterprise, the operation risk of the supply chain corresponding to the enterprise is determined, the data utilization rate of the financial report texts of the enterprise is improved, and the accuracy of enterprise relevance analysis is improved.

Based on any of the above embodiments, fig. 5 is a schematic flow chart of the operation efficiency determining method provided by the present invention, as shown in fig. 5, the method includes:

step 510, determining a corrected transaction amount corresponding to any side based on the transaction amount corresponding to any side in the supply chain where the corresponding enterprise is located and the number of complete supply paths passing through any side. The complete supply path is a supply path connecting the most upstream enterprise and the most downstream enterprise in the supply chain where the corresponding enterprise is located.

Specifically, for a supply chain in which a corresponding enterprise is located, if the material circulation speed inside the supply chain is fast, the supply chain is considered to have higher operation efficiency. Due to the fact that the variety of materials is various and complex and difficult to quantify, the transaction amount between enterprises can be adopted for replacement.

The operational efficiency of the supply chain may be measured in terms of the transaction amount for each complete supply path in the supply chain.

Considering that the supply chain in which the corresponding enterprise is located is usually complex, in the supply chain DAG, there may be multiple complete supply paths from the beginning to the end of the node, and different paths may directly share the same node, therefore, in the above calculation of the weight, it is first considered to reasonably allocate the amount of money of each path to all the complete supply paths that it can pass through on average.

For example, the transaction amount of enterprise E and enterprise F is 300 ten thousand, and the complete supply path passing through the edge { E → F, 300 ten thousand } includes 3 total supply paths "enterprise a → enterprise P → enterprise E → enterprise F", "enterprise B → enterprise C → enterprise P → enterprise E → enterprise F", so that the amount contributed by the edge { E → F, 300 ten thousand } for each complete supply path is only 100 thousand each when the weight is calculated for these 3 complete supply paths.

Can correspond to the transaction amount (amount) corresponding to any side in the supply chain where the enterprise is located_{Amount of transaction}And the number of complete supply paths passing through the edge, determining the modified transaction amount corresponding to the edge_{Correcting transaction amount}Is formulated as:

step 520, determining a path weight for any complete supply path in the supply chain for the enterprise based on the corrected transaction amount corresponding to each edge of any complete supply path.

Specifically, corresponding path weights are given to different complete paths to measure the importance degree of the complete paths. In general, the more the sum of all the money of each road section on the complete path, the greater the path weight, which is expressed by the formula:

any complete supply path weight ∑ Σ_{Any edge e an edge in any complete supply path}Around on either side_{Correcting transaction amount}

Step 530, determining the operation efficiency of the supply chain corresponding to the enterprise based on the path weight of each complete supply path in the supply chain corresponding to the enterprise, the number of enterprises of each complete supply path, and the number of complete supply paths.

Specifically, the operation efficiency of the supply chain where the corresponding enterprise is located is formulated as:

wherein the number of nodes in any complete supply path is the number of enterprises in the supply chain.

The reason for negating the operation efficiency in the supply chain is that under the same condition, more nodes indicate that the complete path is low in efficiency.

The fast capital flow rate means that the number of nodes in the complete path is small, that is, the capital is transferred through some enterprises, and under the same other conditions, the number of times of transferring is small, and the operating efficiency of the capital is high.

According to the enterprise relevance analysis method provided by the embodiment of the invention, the operation efficiency of the supply chain is determined through the transaction amount and the complete supply path in the supply chain, and the accuracy of enterprise relevance analysis is improved.

Based on any of the above embodiments, fig. 6 is a schematic flowchart of a relative capacity determining method provided by the present invention, as shown in fig. 6, the method includes:

step 610, acquiring a current period financial report text and a last period financial report text of each supply chain enterprise in a supply chain where the corresponding enterprise is located;

step 620, determining the total current-period cost and the total current-period income of the supply chain corresponding to the enterprise based on the current-period financial report text of each supply chain enterprise;

step 630, determining the total cost of the last period and the total income of the last period of the supply chain where the corresponding enterprise is located based on the previous period financial report text of each supply chain enterprise;

step 640, determining the relative capacity of the supply chain corresponding to the enterprise based on the total cost of the supply chain corresponding to the enterprise in the current period, the total income of the current period, the total cost of the previous period and the total income of the previous period;

the total cost of the supply chain where the corresponding enterprise is located is determined based on the purchase amount among all the supply chain enterprises in the supply chain where the corresponding enterprise is located;

In particular, the relative capacity of a supply chain is actually a look at the relationship between the inputs and outputs of the supply chain. The method provided by the embodiment of the invention considers not only the overall situation of relative productivity, but also the growth situation of the relative productivity.

Firstly, a current period financial report text and a last period financial report text of each supply chain enterprise in a supply chain where the corresponding enterprise is located are obtained.

Determining the total cost of the supply chain where the corresponding enterprise is located according to the purchase amount among all the supply chain enterprises in the financial report text, wherein the total cost is expressed by a formula as follows:

according to the sales amount among the supply chain enterprises in the financial report text, determining the total income of the supply chain where the corresponding enterprise is located, and expressing the total income as follows by using a formula:

secondly, determining the total cost of the current period and the total income of the current period of the supply chain where the corresponding enterprise is located according to the text of the current period financial newspaper of each supply chain enterprise, and determining the total cost of the last period and the total income of the last period of the supply chain where the corresponding enterprise is located based on the text of the last period financial newspaper of each supply chain enterprise.

And finally, determining the relative capacity of the supply chain corresponding to the enterprise according to the total cost of the supply chain corresponding to the enterprise in the current period, the total income of the current period, the total cost of the previous period and the total income of the previous period, and expressing the capacity as follows by using a formula:

here, the current period is also referred to as the current period. The solving method of the change rate of the previous total income compared with the previous total income comprises the following steps: firstly, the difference value between the current-stage total income and the previous-stage total income is solved, and the ratio of the difference value to the previous-stage total income is taken as the change rate of the total income. And when the early-stage total cost is compared with the last-stage total cost, the solution method of the change rate is similar to the method and is not repeated.

According to the enterprise relevance analysis method provided by the embodiment of the invention, the relative productivity of the supply chain where the corresponding enterprise is located is determined through the current-period financial report text and the last-period financial report text of each supply chain enterprise in the supply chain where the corresponding enterprise is located, the data utilization rate of the enterprise financial report text is improved, and the accuracy and the efficiency of enterprise relevance analysis are improved.

Based on any of the above embodiments, fig. 7 is a schematic flow chart of the importance level determining method provided by the present invention, as shown in fig. 7, the method includes:

step 710, determining the number of all complete supply paths in a supply chain where a corresponding enterprise is located;

step 720, determining the number of remaining complete supply paths after the corresponding enterprise is removed from the supply chain;

based on the number of all complete supply paths and the number of remaining complete supply paths, the importance level of the corresponding enterprise in the supply chain is determined 730.

Specifically, if a certain enterprise in the upstream and downstream enterprises is suddenly closed, the other enterprises in the supply chain need to spend a lot of cost to search for a new partner, and it can be known that although the supply chain is restored to normal operation, the supply chain is still damaged by sudden closing of the enterprises. The importance of the enterprise can be considered high if such damage in the supply chain would be of great concern to the connectivity of the supply chain.

The high importance of the enterprise can be measured by considering the proportion of the complete supply path that disappears due to the absence of the corresponding enterprise, for example, after the corresponding enterprise is removed, the more the complete supply path disappears, the less the complete supply path remains, the higher the importance of the enterprise, and can be expressed by the following formula:

according to the enterprise relevance analysis method provided by the embodiment of the invention, the importance degree of the corresponding enterprise is determined through the number of all complete supply paths of the corresponding enterprise in the supply chain and the number of the remaining complete supply paths after the corresponding enterprise is removed, and the accuracy of enterprise relevance analysis is improved.

Based on any one of the above embodiments, the present invention provides an enterprise relevance analysis method based on a financial and newspaper text, including:

acquiring a financial report text of all listed companies through the existing web crawler algorithm and a text analysis algorithm, and determining an enterprise to be analyzed;

secondly, determining direct upstream and downstream enterprises of each enterprise and transaction amount between each enterprise and the direct upstream and downstream enterprises according to text contents in the financial report text of each company;

thirdly, establishing a supply chain of the enterprise to be analyzed according to the direct upstream and downstream enterprises of each enterprise and the transaction amount between each enterprise and the direct upstream and downstream enterprises;

determining the supply chain information of the enterprise to be analyzed and the importance degree of the enterprise to be analyzed in the supply chain according to the supply chain of the enterprise to be analyzed; the supply chain information comprises net profit margin, operational risk, relative capacity and operating efficiency;

fifthly, determining the supply chain characteristics of the enterprise to be analyzed according to the supply chain information of the enterprise to be analyzed and the importance degree of the enterprise to be analyzed in the supply chain, and determining the external environment characteristics and the internal operation characteristics of the enterprise to be analyzed according to the external environment evaluation method and the internal operation evaluation method in the prior art; fusing the supply chain characteristics, the external environment characteristics and the internal operation characteristics to obtain enterprise characteristics of the enterprise to be analyzed;

step six, determining candidate related enterprises of the enterprise to be analyzed, and determining enterprise characteristics of each candidate related enterprise according to the method in the step; the candidate related enterprises can be all listed companies, or companies in the same region or the same industry with the enterprise to be analyzed;

and seventhly, clustering according to the enterprise characteristics of the enterprise to be analyzed and the enterprise characteristics of the candidate related enterprises to obtain a plurality of clusters, and taking the candidate related enterprises which belong to the same cluster with the enterprise to be analyzed as the related enterprises of the enterprise to be analyzed.

Based on any of the above embodiments, fig. 8 is a schematic flowchart of a method for recommending an associated enterprise provided by the present invention, and as shown in fig. 8, the method includes:

step 810, receiving an enterprise to be analyzed, which is sent by a client;

and 820, determining the related enterprises of the enterprise to be analyzed based on the enterprise relevance analysis method, and returning the related enterprises to the client as recommended enterprises.

Specifically, the associated enterprise recommendation method provided by the embodiment of the invention is suitable for a server, and is used for receiving the enterprise to be analyzed sent by a client, executing enterprise association analysis, and returning the associated enterprise obtained by analysis to the client, so that the automatic analysis of enterprise association and the automatic recommendation of the associated enterprise are realized, and the method does not depend on the working experience and subjective judgment of personnel any more.

When related personnel acquire the related enterprises of the to-be-analyzed enterprises, the to-be-analyzed enterprises can be interacted by the client through the client input, automatic analysis and mining recommendation of the related enterprises of the to-be-analyzed enterprises are achieved, the workload of the related personnel is greatly reduced, and the reliability and convenience of acquisition of the related enterprises are improved.

Based on any of the above embodiments, fig. 9 is a schematic structural diagram of an enterprise relevance analysis apparatus provided by the present invention, as shown in fig. 9, the apparatus includes:

an obtaining unit 910, configured to obtain an enterprise set, where the enterprise set includes an enterprise to be analyzed and candidate related enterprises of the enterprise to be analyzed;

the analysis unit 920 is configured to cluster the enterprises based on the supply chain characteristics of the enterprises in the enterprise set, and use candidate related enterprises that belong to the same cluster as the enterprise to be analyzed as related enterprises of the enterprise to be analyzed;

wherein the supply chain characteristics are determined based on supply chain information of a supply chain in which the corresponding enterprise is located and/or importance of the corresponding enterprise in the supply chain, and the supply chain is determined based on the financial and paper texts of each enterprise.

The enterprise relevance analysis device provided by the embodiment of the invention determines the supply chain of each enterprise according to the financial report text of each enterprise, determines the supply chain characteristics of the corresponding enterprise according to the supply chain information of the supply chain where the corresponding enterprise is located and/or the importance degree of the corresponding enterprise in the supply chain, clusters each enterprise according to the supply chain characteristics of each enterprise in an enterprise set, and takes the candidate relevant enterprises which belong to the same cluster as the enterprise to be analyzed as the relevant enterprises of the enterprise to be analyzed, so that the automatic analysis of the enterprise relevance is realized, the working experience and subjective judgment of personnel are not relied on, the data utilization rate of the enterprise financial report text is improved, and the accuracy and efficiency of the enterprise relevance analysis are improved.

Based on any of the embodiments above, the analysis unit is to:

Based on any embodiment above, still include:

the supply chain determining unit is used for determining direct upstream and downstream enterprises of each enterprise and transaction amount between each enterprise and the direct upstream and downstream enterprises based on the financial and newspaper text of each enterprise;

establishing an initial supply chain of any enterprise by taking any enterprise as an initial node, taking direct upstream and downstream enterprises of any enterprise as adjacent nodes and taking transaction amount between any enterprise and the direct upstream and downstream enterprises as an edge;

Based on any embodiment above, still include:

the operation risk determining unit is used for determining the static operation risk of each supply chain enterprise based on the financial report text of each supply chain enterprise in the supply chain where the corresponding enterprise is located;

determining the forward propagation risk of any supply chain enterprise based on the static business risk of any supply chain enterprise, the forward propagation risk of an enterprise immediately upstream of any supply chain enterprise, and the procurement amount between any supply chain enterprise and an enterprise immediately upstream of any supply chain enterprise;

determining a back-propagation risk for any supply chain enterprise based on the forward-propagation risk for any supply chain enterprise, the back-propagation risk for any supply chain enterprise immediately downstream of any supply chain enterprise, and business credits between any supply chain enterprise and any supply chain enterprise immediately downstream of any supply chain enterprise;

and determining the operation risk of the supply chain where the corresponding enterprise is located based on the back propagation risk of each supply chain enterprise in the supply chain where the corresponding enterprise is located.

Based on any embodiment above, still include:

the operation efficiency determining unit is used for determining a corrected transaction amount corresponding to any side based on the transaction amount corresponding to any side in a supply chain where the corresponding enterprise is located and the number of complete supply paths passing through any side;

determining the path weight of any complete supply path based on the corrected transaction amount corresponding to each edge of any complete supply path in the supply chain where the corresponding enterprise is located;

determining the operation efficiency of the supply chain corresponding to the enterprise based on the path weight of each complete supply path in the supply chain corresponding to the enterprise, the number of enterprises of each complete supply path and the number of complete supply paths;

the complete supply path is a supply path connecting the most upstream enterprise and the most downstream enterprise in the supply chain where the corresponding enterprise is located.

Based on any embodiment above, still include:

the relative capacity determining unit is used for acquiring a current period financial report text and a previous period financial report text of each supply chain enterprise in a supply chain where the corresponding enterprise is located;

determining the current period total cost and the current period total income of the supply chain where the corresponding enterprise is based on the current period financial report text of each supply chain enterprise;

determining the total cost of the last period and the total income of the last period of the supply chain where the corresponding enterprise is located based on the previous period financial report text of each supply chain enterprise;

determining the relative capacity of the supply chain corresponding to the enterprise based on the total cost of the supply chain corresponding to the enterprise in the current period, the total income of the current period, the total cost of the previous period and the total income of the previous period;

Based on any embodiment above, still include:

the importance degree determining unit is used for determining the number of all complete supply paths in a supply chain where the corresponding enterprise is located;

determining the number of remaining complete supply paths after the corresponding business is removed from the supply chain in which the corresponding business is located;

based on the number of all complete supply paths and the number of remaining complete supply paths, the importance level of the corresponding business in the supply chain is determined.

Based on any of the above embodiments, fig. 10 is a schematic structural diagram of an associated enterprise recommendation device provided by the present invention, and as shown in fig. 10, the device includes:

a receiving unit 1010, configured to receive an enterprise to be analyzed, where the enterprise is sent by a client;

and the recommending unit 1020 is configured to determine an associated enterprise of the enterprise to be analyzed based on the enterprise association analysis method, and return the associated enterprise to the client as a recommended enterprise.

The associated enterprise recommendation device provided by the embodiment of the invention realizes the automatic analysis of enterprise association and the automatic recommendation of associated enterprises, and does not depend on the working experience and subjective judgment of personnel.

Based on any of the above embodiments, fig. 11 is a schematic structural diagram of an electronic device provided by the present invention, and as shown in fig. 11, the electronic device may include: a Processor (Processor)1110, a communication Interface (Communications Interface)1120, a Memory (Memory)1130, and a communication Bus (Communications Bus)1140, wherein the Processor 1110, the communication Interface 1120, and the Memory 1130 complete communication with each other through the communication Bus 1140. Processor 1110 may call logical commands in memory 1130 to perform the following method:

acquiring an enterprise set, wherein the enterprise set comprises an enterprise to be analyzed and a candidate related enterprise of the enterprise to be analyzed; clustering the enterprises based on the supply chain characteristics of the enterprises in the enterprise set, and taking the candidate related enterprises which belong to the same cluster with the enterprise to be analyzed as related enterprises of the enterprise to be analyzed; the supply chain characteristics are determined based on supply chain information of a supply chain where the corresponding enterprise is located and/or the importance degree of the corresponding enterprise in the supply chain;

or, receiving an enterprise to be analyzed sent by the client; and determining the related enterprises of the enterprise to be analyzed based on the enterprise relevance analysis method, and returning the related enterprises to the client as recommended enterprises.

In addition, the logic commands in the memory 1130 may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes a plurality of commands for enabling a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

The processor in the electronic device provided in the embodiment of the present invention may call a logic instruction in the memory to implement the method, and the specific implementation manner of the method is consistent with the implementation manner of the method, and the same beneficial effects may be achieved, which is not described herein again.

Embodiments of the present invention further provide a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the method provided in the foregoing embodiments when executed by a processor, and the method includes:

When the computer program stored on the non-transitory computer readable storage medium provided in the embodiments of the present invention is executed, the method is implemented, and the specific implementation manner of the method is consistent with the implementation manner of the method, and the same beneficial effects can be achieved, which is not described herein again.

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes commands for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. An enterprise relevance analysis method is characterized by comprising the following steps:

2. The method of claim 1, wherein the clustering the businesses based on the supply chain characteristics of the businesses in the set of businesses comprises:

3. The method of claim 1, wherein the supply chain of any business is determined based on the steps of:

4. The method according to any one of claims 1 to 3, wherein the supply chain information corresponding to the supply chain in which the enterprise is located includes at least one of net profit margin, business risk, relative productivity and operational efficiency.

5. The method of claim 4, wherein the business risk of the supply chain of the corresponding business is determined based on the following steps:

6. The method of claim 4, wherein the operational efficiency of the supply chain of the corresponding enterprise is determined based on the following steps:

7. The method according to claim 4, wherein the relative capacity of the supply chain corresponding to the enterprise is determined based on the following steps:

8. The method according to any one of claims 1 to 3, wherein the importance level of the corresponding enterprise in the supply chain is determined based on the following steps:

9. A method for recommending associated enterprises is characterized by comprising the following steps:

receiving an enterprise to be analyzed sent by a client;

based on the enterprise relevance analysis method according to any one of claims 1 to 8, determining related enterprises of the enterprise to be analyzed, and returning the related enterprises to the client as recommended enterprises.

10. An enterprise relationship analysis device, comprising:

11. An associated enterprise recommendation device, comprising:

a recommending unit, configured to determine a related enterprise of the enterprise to be analyzed based on the enterprise relevance analysis method according to any one of claims 1 to 8, and return the related enterprise to the client as a recommended enterprise.

12. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the business association analysis method of any one of claims 1 to 8 or the steps of the associated business recommendation method of claim 9 when executing the computer program.

13. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, performs the steps of the business association analysis method of any one of claims 1 to 8 or the steps of the associated business recommendation method of claim 9.