JP2018206219A - Business matching support device and business matching support method - Google Patents

Abstract

The present invention enables business matching with high accuracy. In a business matching support device 100, a storage device storing an evaluation formula that prescribes the strength of a business relationship between business types from the viewpoint of viewing the other business type from one business type for each viewpoint between the business types. 101, each piece of information about a predetermined evaluation target company and other companies is input to each of the evaluation formulas of each viewpoint with the business category of the evaluation target company as the one business category or the other business category, The strength of the business relationship between the evaluation target company and the other companies from each viewpoint is calculated, and the calculated value of the strength of the business relationship from each viewpoint is calculated between the evaluation target company and the other companies. As the matching score of the other companies, the matching company having the matching score equal to or higher than a predetermined standard is determined as a matching candidate, and information on the matching candidate is obtained. Configured to include an arithmetic unit 104 that outputs a constant device. [Selection] Figure 2

Description

  The present invention relates to a business matching support apparatus and a business matching support method, and specifically relates to a technology that enables business matching with high accuracy.

  As competition between companies intensifies, it is an important issue for companies to efficiently procure materials and sell products under the most advantageous conditions. Therefore, various so-called company evaluation methods have been proposed for exhaustively searching for material suppliers and merchandise sellers for companies and identifying suitable partner companies.

  For example, conventional technologies related to such company evaluation include: (1) Display of two comparison companies and a plurality of comparison items, and determine the superiority of the two comparison companies as superior to the judge A determination screen generation unit that generates a determination screen that prompts selection of a company and selection of a factor item that causes a determination of a superior company among a plurality of comparison items; (2) determination screen output that outputs the generated determination screen Part (3) a priority company selection part for inputting the selection of the priority company, (4) a factor item evaluation part for inputting the selection of the factor item, (5) information for identifying the comparison companies of the two companies, and A decision processing unit for storing information for identifying priority companies and information for identifying the factor items in a determination result database; (6) information for identifying comparison companies of the two companies; and information for identifying the priority companies; Identify the above factor items Determination result database for storing a determination result that associates information, such as a company decision evaluation system and having a (see Patent Document 1) has been proposed.

JP 2004-94727 A

  In the prior art, although company evaluation is performed from various viewpoints, the relationship between the parties is evaluated from the standpoint of each party, and these are not used together for company evaluation. In other words, the evaluation on the other company is performed only from the company side as the evaluator, and in this case, only one-way evaluation results are obtained.

By doing business matching using such evaluation results, for example, in the relationship between buyers and suppliers in material procurement and product sales, it is only possible to identify the partner company that wants to do business from one side, and the business relationship is actually established. The possibility of identifying partner companies that can be recognized as suitable for each other is not high.
Accordingly, an object of the present invention is to provide a technology that enables business matching with high accuracy.

The business matching support device of the present invention that solves the above problems stores an evaluation formula that defines the strength of the business relationship between the industries from the viewpoint of viewing the other industry from one industry for each viewpoint between the industries. And each piece of information about the predetermined evaluation target company and other companies are input to each evaluation formula of each viewpoint with the business category to which the evaluation target company belongs as the one business type or the other business type. , Calculating the strength of the business relationship between the evaluation target company and the other companies from each viewpoint, and calculating the total value of the calculated business relationship strength from each viewpoint as the evaluation target company and the other It is specified as a matching score with a company, and among the other companies, the matching score that is equal to or higher than a predetermined standard is determined as a matching candidate, and information on the matching candidate is predetermined. Characterized in that it and a calculation unit for outputting the location.

  The business matching support method of the present invention also includes a storage device that stores, for each viewpoint between each industry, an evaluation formula that prescribes the strength of the business relationship between the industries from the viewpoint of viewing the other industry from one industry An information processing apparatus that inputs information related to a predetermined evaluation target company and other companies to each of the evaluation formulas for each viewpoint with the business category to which the evaluation target company belongs as the one business type or the other business type. Then, the strength of the business relationship between the evaluation target company and the other companies in each viewpoint is calculated, and the calculated value of the strength of the business relationship in each viewpoint is calculated from the evaluation target company and the It is specified as a matching score with other companies, and among the other companies, those having a matching score equal to or higher than a predetermined standard are determined as matching candidates and information on the matching candidates is obtained. And outputs to the predetermined device, and wherein the.

  According to the present invention, business matching with high accuracy is possible.

It is a network block diagram including the business matching support apparatus of this embodiment. It is a figure which shows the hardware structural example of the business matching assistance apparatus in this embodiment. It is a figure which shows the example of a data structure of the evaluation type | formula table of this embodiment. It is a figure which shows the example of a data structure of the company information table of this embodiment. It is a figure which shows the example 1 of a flow of the business matching assistance method in this embodiment. It is a figure which shows the output example 1 in this embodiment. It is a figure which shows the example 2 of a flow of the business matching assistance method in this embodiment. It is a figure which shows the example 3 of a flow of the business matching assistance method in this embodiment. It is a figure which shows the example 4 of a flow of the business matching assistance method in this embodiment.

--- Network configuration ---

  Embodiments of the present invention will be described below in detail with reference to the drawings. FIG. 1 is a network configuration diagram including a business matching support apparatus 100 of the present embodiment. A business matching support apparatus 100 shown in FIG. 1 is a computer apparatus that enables business matching with high accuracy.

  The business matching support device 100 in this embodiment can be assumed to be a server device operated by a financial institution such as a bank, for example. This is because such financial institutions have many companies as customers and tend to promote business matching among customer companies in the sense of developing their own businesses. However, the scope of application of the present invention is not limited to such a form.

The business matching support apparatus 100 in the above-described form is a user terminal 200 operated by a customer company or a person in charge of a financial institution via an appropriate network 10 such as the Internet.
And a company information server 300 that provides a company information distribution service.

The above-mentioned predetermined persons in charge operate the terminal 200 to access the business matching support apparatus 100 and use the corresponding function, and perform the corresponding business of material procurement, change of merchandise sales destination, or new development. Further, the business matching support device 100 acquires the company information of each company by communicating with the above-described company information service 300 periodically or as necessary.
--- Hardware configuration ---

  The hardware configuration of the business matching support device 100 is as follows. In other words, the business matching support device 100 is stored in the storage device 101, which includes a storage device 101 including an appropriate nonvolatile storage element such as an SSD (Solid State Drive) or a hard disk drive, a memory 103 including a volatile storage element such as a RAM, and the storage device 101. The computer 102 is executed by reading out the program 102 to the memory 103 and executing the overall control of the apparatus itself, and performs various determinations, computations, and control processes. And a communication device 105 responsible for communication processing with 300.

The storage device 101 stores at least an evaluation formula table 125 and a company information table 126 in addition to the program 102 for implementing functions necessary as the business matching support device 100 of the present embodiment. Details of the evaluation formula table 125 and the company information table 126 will be described later.
--- Data structure example ---

  Next, tables used by the business matching support device 100 of this embodiment will be described. FIG. 3 shows an example of the evaluation formula table 125 in the present embodiment.

  The evaluation formula table 125 is a table that stores, for each viewpoint between each industry, an evaluation expression that defines the strength of the business relationship between the industries from the viewpoint of viewing the other industry from one industry. The data structure is a set of records in which the combinations of the above-described one and other types of business are used as keys and the evaluation formulas in the combinations are associated with each other. In addition, even for the same type of industry, the evaluation formula for each viewpoint is registered, from the viewpoint of looking at the other industry from one industry and the opposite, that is, from the other industry. It is assumed that

  As a concrete example of such an evaluation formula, each variable (eg “x1” to “x7”) for specifying the strength of the business relationship is an operator such as four arithmetic operations (eg “+”, “-”). Can be assumed to be combined. The variable is multiplied by a constant (eg, “a1” to “a7”). Examples of variables are: x1: Number of employees of the company to be evaluated (eg, “1” for 1,000 or more employees, “0” for less than 1,000 persons), x2: Performance transition of the company to be evaluated (example: "1" for sales of 10 billion yen or more, "0" for sales of less than 10 billion yen, x3: Credit evaluation of the companies subject to evaluation (eg, "1" for work experience of 20 years or more, work experience of less than 20 years) “0”), x4: Location of the evaluation target company and the candidate company (for example, “1” in the same municipality or neighboring municipality, “0” in each other non-identical municipality and non-adjacent municipality), x5: Candidate destination Number of employees in the company (eg, “1” for more than 1,000 people, “0” for less than 1,000 people), x6: Change in business performance of candidate companies (eg, “1” for sales over 10 billion yen) Data such as “0” if it is less than ¥ 10 billion), x7: credit evaluation of the candidate company (eg, “1” if the job history is 20 years or more, “0” if the job history is less than 20 years) Is a collection of al made record.

FIG. 4 shows an example of the company information table 126 in the present embodiment. The company information table 126 is a table that stores company information of each company that has been received from the company information server 300 and stored.

The data structure uses the appropriate identification information such as company code as a key, and the company name, address, bank, number of employees, suppliers, customers, series, performance trends, business composition (industry), credit evaluation Is a collection of records consisting of data such as. The contents of the company information table 126 can be assumed to be updated with information distributed from the company information server 300 at regular intervals.
--- Flow example 1 ---

  Hereinafter, the actual procedure of the business matching support method in the present embodiment will be described with reference to the drawings. Various operations corresponding to the business matching support method described below are realized by a program that the business matching support apparatus 100 reads out and executes in a memory or the like. And this program is comprised from the code | cord | chord for performing the various operation | movement demonstrated below.

  FIG. 5 is a diagram showing a flow example 1 of the business matching support method in the present embodiment. Here, first, it is assumed that a predetermined person in charge of the financial institution operates the user terminal 200 and transmits a predetermined processing request to the business matching support device 100. This processing request includes at least identification information of an evaluation target company in business matching.

  In this case, the business matching support apparatus 100 searches the company information table 126 for company information of the corresponding company using the identification information of the evaluation target company as a key, and stores the company information obtained by this search in the memory 103 ( s100).

  Further, the business matching support apparatus 100 searches the evaluation formula table 125 using the business type information indicated by the “business configuration” in the company information stored in the memory 103 in s100 as a key, and from the business type to other business types (hereinafter referred to as “business type”). , Candidate industry), each evaluation formula (hereinafter referred to as a primary evaluation formula) is identified (s101).

  Further, the business matching support apparatus 100 similarly specifies each evaluation formula (hereinafter referred to as a secondary evaluation formula) when viewing the above-described evaluation target company's business type from each of the above-described candidate business types (s102).

  Subsequently, the business matching support apparatus 100 reads from the company information table 126 the company information of companies other than the evaluation target companies and including the above-described candidate industries in the “business configuration” (hereinafter, candidate companies). For example, it is held in the memory 103 (s103).

  Next, the business matching support device 100 sets one of the variables constituting the primary evaluation formula specified in s101, that is, the one related to the evaluation target company in the above case, to the predetermined item of the company information obtained in s100. A value is input as a parameter. Similarly, among the variables constituting the above-mentioned primary evaluation formula, the variable relating to the other candidate company, that is, the candidate company in the above case, is included in the company information of the candidate company obtained in s103. The value of the predetermined item is input as a parameter, and the strength of the business relationship from the viewpoint of each candidate company from the evaluation target company is calculated as a primary scoring value (s104).

For example, the company information of the evaluation company “X” of the industry “V” has the number of employees: more than 1,000 people,
It is assumed that the results include: sales of 10 billion yen or more, credit evaluation: less than 20 years of work history, and location: Tokyo. In addition, the company information of a candidate company “Y” of type “W” is the number of employees: 1,000 or less, performance transition: sales of 10 billion yen or more, credit evaluation: less than 20 years of work experience, location: Suppose that it contains contents such as Tokyo.

The evaluation formula “f = 15 ・ x1 + 30 ・ x2 + 5 ・ x3 + 50 ・ x4 + 3 ・ x5 + 7 ・ x6 + 3 ・ x7” when looking at the business type “W” from the business type “V” mentioned above For example, the primary scoring value f is “15 · 1 + 30 · 1 + 5”.
・ It can be calculated as 0 + 50 ・ 1 + 3 ・ 0 + 7 ・ 1 + 3 ・ 0 = 102 ”.

  Next, the business matching support device 100 sets a parameter of the value of a predetermined item in the company information obtained in s103 to one of the variables constituting the secondary evaluation formula identified in s102, that is, the candidate company. In the same manner, the value of a predetermined item in the company information of the evaluation target company obtained in s100 is set as a parameter to the variable relating to the other company, that is, the evaluation target company, among the variables constituting the above-described secondary evaluation formula. As a secondary scoring value, the strength of the business relationship from the viewpoint of the evaluation target company from each candidate company is calculated (s105).

In the above specific example, for example, the evaluation formula “f = 5 · x1 + 5 · x2 + 2 · x3 + 10 · x4 + 3 · x5 + 15 · x6 + when the industry“ W ”is viewed from the industry“ W ” If it was 8 · x7 ”, the secondary scoring value f would be“ 5 ・ 0 + 5 ・ 0 + 2 ・ 0 + 10 ・ 1 + 3 ・ 1 + 15 ・ 1 + 8 ・ 0 = 28 ” Can be calculated.

  Subsequently, the business matching support device 100 adds the primary scoring value and the secondary scoring value calculated for the combination of the evaluation target company and the candidate company in s104 and s105, and calculates the matching score for the set. (S106). In the case of the above example, the matching score is calculated as “102 + 28 = 130”.

Further, the business matching support apparatus 100 determines that the above-mentioned candidate companies whose matching score calculated in s106 is equal to or higher than a predetermined standard are matching candidates, and information on the matching candidates (for example, the matching in FIG. 6) The candidate list 600) is transmitted to the user terminal 200 (s107), and the process ends.
--- Flow example 2 ---

  Next, a method for improving the efficiency of the business matching support process will be described with reference to the drawings. FIG. 7 is a diagram showing a flow example 2 of the business matching support method in the present embodiment. Here, the business matching support device 100 compares the primary scoring value regarding each candidate destination company obtained by executing s104 in the above flow example 1 with a predetermined reference value (example: 80) (s200).

If it is a specific example in the flow example 1, the company information from the evaluation target company “X” of the business type “V” is the number of employees: 1,000 or more, performance transition: sales 10 billion yen or more, credit evaluation: business It is assumed that the content includes less than 20 years and the location: Tokyo. In addition, the company information of a candidate company “Y” of type “W” is the number of employees: 1,000 or less, performance transition: sales of 10 billion yen or more, credit evaluation: less than 20 years of work experience, location: Suppose that it contains contents such as Tokyo.

  In this case, the business matching support apparatus 100 identifies candidate companies whose primary scoring value is equal to or less than the above-mentioned predetermined standard as a result of the comparison of s200 (s201), and the processing after s105, that is, the secondary scoring value and The candidate company is excluded from the target of each matching score calculation (s202). In other words, after s105, each calculation of the secondary scoring value and the matching score is executed only for candidate destination companies other than the candidate destination companies that are excluded in s202.

The primary scoring value from the viewpoint of the candidate company “Y” for the industry “W” from the evaluation target company “X” for the industry “V” described above is “102”, which exceeds the reference value “80”. Yes. Therefore, the candidate company “Y” can be a processing target after s105.

By performing preliminary screening of candidate companies based on such primary scoring values, the amount of calculation by the business matching support apparatus 100 can be reduced, and overall processing efficiency can be improved.
--- Flow example 3 ---

  Next, another method for improving the efficiency of the business matching support process will be described with reference to the drawings. FIG. 8 is a diagram showing a flow example 3 of the business matching support method in the present embodiment.

  Here, the business matching support device 100 calculates the primary evaluation formula obtained in s101 in the above flow example 1 and the secondary evaluation formula obtained in s102 between the business types of the evaluation target company and the business types of the candidate companies. Summing up for each group (s300).

In the case of the above-mentioned specific example, the evaluation formula “f = 15 · x1 + 30 · x2 + 5 · x3 + 50 · x4 + 3 · x5 + 7 · x6 + when the industry“ W ”is seen from the industry“ V ” 3 · x7 ”and the evaluation formula“ F ”= 5 · x1 + 5 · x2 + 2 · x3 + 10 · x4 + 3 · x5 + 15 · x6 + 8 · By adding together x7 ”, the sum“ 20 · x1 + 35 · x2 + 7 · x3 + 60 · x4 + 6 · x5 + 22 · x6 + 11 · x7 ”is obtained.

  Subsequently, the business matching support apparatus 100 calculates the theoretical maximum value in the summation formula by summing the constant portions of the variables in the summation formula (s301). In the above example, “20 + 35 + 7 + 60 + 6 + 22 + 11 = 161” can be calculated as the theoretical maximum value.

  In this case, the business matching support apparatus 100 identifies candidate companies in the above-mentioned group in which the theoretical maximum value obtained by the calculation of s301 is equal to or less than a predetermined standard (s302), and the processing after s103, that is, the primary scoring value The candidate candidate company is excluded from the targets of the secondary scoring value and the matching score (s303).

By performing preliminary screening of candidate companies based on such theoretical maximum values, the amount of calculation by the business matching support device 100 can be further reduced, and the overall processing efficiency can be further improved.
--- Flow example 4 ---

  Next, when a company has an opportunity to request business matching in an industry that is different from the original business of the company, such as when starting a new business, A description will be given of a form corresponding to a case where business matching is performed from the viewpoints of both companies when the other company sees the company in the original business category.

  In this case, it is possible to pre-estimate candidate companies for business matching in different industries from that company, and from the other company, it is inherently a business matching opportunity with an unexpected company. You will be able to find matching candidates based on business conditions that cannot be ignored (eg, company size, sales, etc.).

  FIG. 9 is a diagram showing a flow example 4 of the business matching support method in the present embodiment. Here, first, it is assumed that a predetermined person in charge at the customer company operates the user terminal 200 and transmits a predetermined processing request to the business matching support apparatus 100. This processing request includes at least identification information of an evaluation target company in business matching and information on a virtual industry.

  In this case, the business matching support device 100 searches the company information table 126 for the company information of the corresponding company using the identification information of the evaluation target company as a key, and uses the company information obtained by this search for the virtual industry described above. The information is stored in the memory 103 together with the information (s400).

  Further, the business matching support apparatus 100 searches the evaluation formula table 125 using the information of “virtual industry” stored in the memory 103 in s400 as a key, and each other industry (hereinafter, candidate industry) from the virtual industry. Each evaluation formula (hereinafter referred to as a primary evaluation formula) is determined (S401).

  Further, the business matching support apparatus 100 similarly specifies each evaluation formula (hereinafter referred to as a secondary evaluation formula) when the original business type of the evaluation target company is viewed from each of the above-described candidate business types (s402). The original business type is specified by the business type information indicated by the “business configuration” in the company information obtained in s400.

  Subsequently, the business matching support apparatus 100 reads from the company information table 126 the company information of companies other than the evaluation target companies and including the above-described candidate industries in the “business configuration” (hereinafter, candidate companies). For example, it is held in the memory 103 (s403).

  Next, the business matching support device 100 sets one of the variables constituting the primary evaluation formula specified in s401, that is, the one related to the evaluation target company in the above case, to the predetermined item of the company information obtained in s400. The value is input as a parameter. Similarly, among the variables constituting the above-mentioned primary evaluation formula, the other company, that is, the variable related to the candidate company in the above case, the company information of the candidate company obtained in s403. The value of the predetermined item is input as a parameter, and the strength of the business relationship from the viewpoint of each candidate company from the evaluation target companies in the virtual industry is calculated as a primary scoring value (s404).

  Next, the business matching support apparatus 100 sets the value of a predetermined item of the company information obtained in s403 as a parameter to one of the variables constituting the secondary evaluation formula specified in s402, that is, the candidate company. In the same manner, the value of the predetermined item in the company information of the evaluation target company obtained in s400 is set as a parameter for the variable relating to the other company, that is, the evaluation target company, among the variables constituting the above-described secondary evaluation formula. As a secondary scoring value, the strength of the business relationship from the viewpoint of viewing the enterprise subject to the evaluation of the original business type from each candidate company is calculated (s405).

  Subsequently, the business matching support device 100 adds the primary scoring value and the secondary scoring value calculated for the combination of the evaluation target company and the candidate destination company in s404 and s405, and calculates the matching score for the set. (S406).

  Further, the business matching support apparatus 100 determines that a candidate whose matching score calculated in s406 is equal to or greater than a predetermined standard among the candidate companies described above is a matching candidate, and transmits information on the matching candidate to the user terminal 200. (S407), the process ends.

Although the best mode for carrying out the present invention has been specifically described above, the present invention is not limited to this, and various modifications can be made without departing from the scope of the invention.
According to this embodiment, business matching with high accuracy is possible.

At least the following will be clarified by the description of the present specification. That is, in the business matching support device of the present embodiment, the computing device has a predetermined strength obtained from a viewpoint of viewing the other companies from the evaluation target company, out of the calculated strengths of the business relations from the respective viewpoints. A company that is below the standard may be specified among the other companies, and the process of excluding the company from the identification target of the matching score may be further executed.

  According to this, it is possible to reduce the processing load in the business matching support device by excluding the partner company that is difficult to establish matching from the viewpoint of the company that wants at least business matching from the subsequent processing.

  In the business matching support device of the present embodiment, the computing device calculates the theoretical maximum value of the evaluation formula for each viewpoint with the business category to which the evaluation target company belongs as the one business type or the other business type as the evaluation target enterprise. And a process of excluding those other companies whose sum of theoretical maximum values is less than or equal to a predetermined standard from the target of the matching score. It may be a thing.

  According to this, the processing load in the business matching support device is further increased by setting only the company whose expectation of matching is theoretically high as the target of the matching score regardless of the parameters given to the above-described evaluation formula. It can be reduced efficiently.

  In the business matching support device of the present embodiment, the computing device is configured to store each information regarding the virtual company and the other company when the evaluation target company develops business in a virtual industry, Input the evaluation formula for the viewpoint of one industry and the evaluation formula for the viewpoint of the target company to the other industry, and calculate the strength of the business relationship from each viewpoint. Then, the calculated value of the strength of the business relationship at each viewpoint is identified as a matching score between the virtual company and the other company, and the matching score is equal to or higher than a predetermined standard among the other companies. It is also possible to further execute a process of determining a candidate as a matching candidate and outputting information on the matching candidate to a predetermined device.

  According to this, when a company has an opportunity to request business matching in an industry that is different from the original industry, such as when starting a new business, when the company sees another company from the relevant industry, and other companies Therefore, it is possible to perform business matching from both viewpoints when looking at the company of the original business type. In this case, it is possible to pre-estimate candidate companies for business matching in different industries from that company, and from the other company, it is inherently a business matching opportunity with an unexpected company. You will be able to find matching candidates that are based on business conditions that cannot be ignored (eg, company size, sales, listing, etc.).

  In the business matching support method according to the present embodiment, the information processing apparatus has a strength obtained from the evaluation target company regarding the viewpoint of viewing the other companies out of the calculated strengths of the business relationships. The following company may be specified among the other companies, and the process of excluding the matching score from the target of the matching score may be further executed.

  In the business matching support method according to the present embodiment, the information processing apparatus sets the theoretical maximum value of the evaluation formula for each viewpoint with the business category to which the evaluation target company belongs as the one business type or the other business type as the evaluation target. Summing up each relationship between the company and each of the other companies, and further executing a process of excluding those other companies whose sum of the theoretical maximum values is less than or equal to a predetermined reference from the target of the matching score You may do it.

In the business matching support method of the present embodiment, the information processing apparatus is configured to display each information regarding the virtual company and the other company when the evaluation target company develops business in the virtual industry, and the business type to which the virtual company belongs. Input the evaluation formula for the viewpoint of the one industry and the evaluation formula for the viewpoint of the evaluation target company as the other industry, and determine the strength of the business relationship from each viewpoint. Calculate and specify the calculated value of the strength of the business relationship at each viewpoint as a matching score between the virtual company and the other company, and the matching score of the other companies is equal to or higher than a predetermined standard A process of determining a certain candidate as a matching candidate and outputting the information of the matching candidate to a predetermined device may be further executed.

10 Network 100 Business Matching Support Device 101 Storage Device 102 Program 103 Memory 104 Computing Device 105 Communication Device 125 Evaluation Formula Table 126 Company Information Table 200 User Terminal 300 Company Information Server

Claims (8)

A storage device that stores an evaluation formula that prescribes the strength of the business relationship between the industries from the perspective of looking at the other industry from one industry,
Each piece of information about a predetermined evaluation target company and other companies is input to each of the evaluation formulas for each viewpoint in which the business category of the evaluation target company is the one business type or the other business type. The strength of the business relationship between the evaluation target company and the other company is calculated, and the calculated value of the strength of the business relationship from each viewpoint is a matching score between the evaluation target company and the other company. An arithmetic unit that determines that the matching score among the other companies is equal to or higher than a predetermined standard as a matching candidate and outputs information on the matching candidate to a predetermined device;
A business matching support device comprising: The arithmetic unit is
Of the calculated business relationships in each of the viewpoints, a company whose strength obtained with respect to the viewpoint of viewing the other companies from the evaluation target company is equal to or less than a predetermined standard is identified among the other companies, The process of excluding the matching score from the specific target for the company is further executed.
The business matching support device according to claim 1, wherein: The arithmetic unit is
Summing up the theoretical maximum value of the evaluation formula of each viewpoint with the business category to which the evaluation target company belongs as the one business type or the other business type for each relationship between the evaluation target enterprise and each of the other enterprises, A process of excluding those whose total value of the theoretical maximum value is less than or equal to a predetermined standard from other companies from the specific target of the matching score,
The business matching support device according to claim 1, wherein: The arithmetic unit is
Information about the virtual company and the other companies when the evaluation target company develops business in a virtual industry, the evaluation formula with the viewpoint that the industry belonging to the virtual company is the one industry, and the evaluation object Enter the company's affiliation industry into each of the viewpoint evaluation formulas for the other industry, calculate the strength of the business relationship from each viewpoint, and calculate the strength of the business relationship from each viewpoint. The total value is specified as a matching score between the virtual company and the other company, and the other company having the matching score equal to or higher than a predetermined standard is determined as a matching candidate, and information on the matching candidate is predetermined. The process of outputting to the device is further executed.
The business matching support device according to claim 1, wherein: An information processing apparatus comprising a storage device storing an evaluation formula that prescribes the strength of a business relationship between the industries from the viewpoint of looking at the other industry from one industry, for each viewpoint between each industry,
Each piece of information about a predetermined evaluation target company and other companies is input to each of the evaluation formulas for each viewpoint in which the business category of the evaluation target company is the one business type or the other business type. Calculating the strength of the business relationship between the assessment target company and the other company,
Specifying the calculated value of the strength of the business relationship at each viewpoint as the matching score between the evaluation target company and the other company;
Among the other companies, those having a matching score equal to or higher than a predetermined standard are determined as matching candidates, and information on the matching candidates is output to a predetermined device.
A business matching support method characterized by this. The information processing apparatus is
Of the calculated business relationships in each of the viewpoints, a company whose strength obtained with respect to the viewpoint of viewing the other companies from the evaluation target company is equal to or less than a predetermined standard is identified among the other companies, Further executing a process of excluding the matching score from the specific target for the company,
The business matching support method according to claim 5, wherein: The information processing apparatus is
Summing up the theoretical maximum value of the evaluation formula of each viewpoint with the business category to which the evaluation target company belongs as the one business type or the other business type for each relationship between the evaluation target enterprise and each of the other enterprises, A process of excluding those other companies whose total value of the theoretical maximum value is less than or equal to a predetermined standard from a specific target of the matching score,
The business matching support method according to claim 5, wherein: The information processing apparatus is
Information about the virtual company and the other companies when the evaluation target company develops business in a virtual industry, the evaluation formula with the viewpoint that the industry belonging to the virtual company is the one industry, and the evaluation object Enter the company's affiliation industry into each of the viewpoint evaluation formulas for the other industry, calculate the strength of the business relationship from each viewpoint, and calculate the strength of the business relationship from each viewpoint. The total value is specified as a matching score between the virtual company and the other company, and the other company having the matching score equal to or higher than a predetermined standard is determined as a matching candidate, and information on the matching candidate is predetermined. Further execute processing to output to the device,
The business matching support method according to claim 5, wherein:

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