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WO2024047919A1 - Corporate governance information provision device and method - Google Patents

Corporate governance information provision device and method Download PDF

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Publication number
WO2024047919A1
WO2024047919A1 PCT/JP2023/013879 JP2023013879W WO2024047919A1 WO 2024047919 A1 WO2024047919 A1 WO 2024047919A1 JP 2023013879 W JP2023013879 W JP 2023013879W WO 2024047919 A1 WO2024047919 A1 WO 2024047919A1
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Prior art keywords
corporate
information
company
corporate governance
governance
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French (fr)
Japanese (ja)
Inventor
裕征 小林
健司 大家
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Hitachi Ltd
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Hitachi Ltd
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services

Definitions

  • the present invention relates to technology for evaluating corporate governance.
  • the company of the present invention includes various organizations that provide services.
  • Patent Document 1 states, ⁇ The management support system 10 uses the information processing terminal 30 connected via the communication network NW such as the Internet to monitor ESG (Environment, Social, governance) ) Provides an ESG management support service to support management.
  • NW such as the Internet
  • the system 10 quantitatively collects ESG information in a specific company as data, and provides information based on the data (for example, the ESG goals of each index). "The level of achievement, each of the ESG data and financial data for each index, the results of correlation analysis, and future forecasts) are output.”
  • the business partner company when conducting business-to-business transactions such as parts procurement, the business partner company is required to assess the reliability of the business partner company in advance and contract with a highly reliable supplier based on ESG evaluation.
  • a supplier company is evaluated by the market based on the reliability and soundness (hereinafter referred to as corporate governance) of the materials, manufacturing, and transportation of products provided by the supplier company.
  • corporate governance a supplier company is evaluated by the market based on the reliability and soundness (hereinafter referred to as corporate governance) of the materials, manufacturing, and transportation of products provided by the supplier company.
  • corporate governance the reliability and soundness of the materials, manufacturing, and transportation of products provided by the supplier company.
  • transaction candidate companies the risks of the entire supply chain to which the transaction candidate companies belong.
  • Patent Document 1 describes a mechanism for collecting information related to ESG evaluation, such as information regarding a company's profitability, competitiveness, environmental response, human rights, etc., and evaluating the correlation with financial data.
  • ESG evaluation such as information regarding a company's profitability, competitiveness, environmental response, human rights, etc.
  • Patent Document 1 it is possible to visualize the correlation between the corporate governance and financial condition of a transaction candidate company before conducting an inter-company transaction.
  • Patent Document 1 it is not possible to evaluate the corporate governance of a transaction candidate company and the risk of the entire supply chain to which the transaction candidate company belongs.
  • the present invention aims to realize evaluation of companies in accordance with the actual situation.
  • the present invention uses corporate financial data and compliance information of a target company to calculate corporate governance information that serves as an evaluation index for the target company.
  • the present application includes a plurality of means for solving the above problems, and one example thereof is the structure described in the claims. That is, in this embodiment, in a corporate governance information providing device that provides corporate governance information of a company, an information collection management section that collects corporate financial data and compliance information indicating the financial status of the company, and an information collection management section that collects the corporate financial data and the compliance information.
  • the present invention can be implemented as a corporate governance information providing device that includes a corporate governance information calculation unit that calculates corporate governance information indicating the compliance violation potential of the company based on compliance information, and provides the calculated corporate governance information.
  • the present invention also includes a corporate governance information providing method using the corporate governance information providing device.
  • FIG. 1 is a diagram illustrating an example of functional blocks illustrating a configuration example of a corporate governance information providing device in Example 1.
  • FIG. 1 is a block diagram showing an example of a hardware configuration of a corporate governance information providing device in Example 1.
  • FIG. 2 is a flowchart showing the overall processing flow of the corporate governance information providing device in the first embodiment.
  • 5 is a flowchart showing the flow of corporate governance information evaluation processing (step S10) in the first embodiment.
  • 3 is a diagram showing an example of corporate financial data used in Example 1.
  • FIG. 3 is a diagram showing an example of compliance information used in Example 1.
  • FIG. 3 is a diagram showing an example of corporate financial analysis information used in Example 1.
  • FIG. 3 is a diagram showing an example of a corporate governance evaluation coefficient used in Example 1.
  • FIG. 3 is a diagram showing an example of corporate financial analysis master information used in the first embodiment.
  • 3 is a diagram showing an example of corporate governance information used in Example 1.
  • FIG. 7 is a flowchart showing the flow of supply chain risk assessment processing in Example 2.
  • FIG. 7 is a diagram showing an example of handled product/service information used in Example 2.
  • FIG. 3 is a diagram showing an example of a BOM used in Example 2;
  • FIG. 7 is a diagram illustrating an example of supply chain information used in Example 2.
  • FIG. 7 is a diagram illustrating an example of supply chain risk information used in Example 2.
  • FIG. 7 is a diagram illustrating an example of a screen on the corporate governance information providing device in Example 2;
  • FIG. 3 is a configuration diagram of a corporate transaction support system in Embodiment 3.
  • corporate governance information is calculated and provided as the corporate governance information to be provided. That is, in this embodiment, in a corporate governance information providing device that provides corporate governance information of a company, an information collection management section that collects corporate financial data and compliance information indicating the financial status of the company, and an information collection management section that collects the corporate financial data and the compliance information.
  • the present invention can be implemented as a corporate governance information providing device that includes a corporate governance information calculation unit that calculates corporate governance information indicating the compliance violation potential of the company based on compliance information, and provides the calculated corporate governance information.
  • the present embodiment also includes a corporate governance information providing method using the corporate governance information providing device.
  • the present embodiment also includes a corporate governance information providing program for causing a computer to function as a corporate governance information providing device and a storage medium storing the program.
  • FIG. 1 is a diagram showing an example of functional blocks of a corporate governance information providing apparatus 1000 in the first embodiment.
  • the corporate governance information providing device 1000 includes an information collection management section 1100, a corporate financial analysis information calculation section 1200, a corporate governance evaluation coefficient calculation section 1300, a corporate governance information calculation section 1400, a supply chain information acquisition section 1500, and a supply chain risk calculation section 1600. , an input/output interface section 1700, and a data storage section 2000.
  • the information collection management unit 1100 collects corporate financial data, which is financial data of the company, and compliance information regarding compliance, via the input/output interface unit 1700.
  • corporate financial data can be obtained from financial statements and the like.
  • compliance information can be obtained from published cases of violations of labor standards-related laws and regulations, securities reports, etc., and includes data showing the track record of compliance violations. These are stored in the data storage unit 2000 by the information collection management unit 1100 as corporate financial data 2100 and compliance information 2200.
  • the corporate financial analysis information calculation unit 1200 uses the corporate financial data 2100 stored in the data storage unit 2000 to calculate corporate financial analysis information 2300.
  • the corporate financial analysis information 2300 is information for analyzing the financial situation of a company, and can use an index for equipment renewal calculated based on the amount of equipment investment relative to sales of the company. As this corporate financial analysis information 2300, an index capable of estimating compliance violation potential can be used. Note that the corporate financial analysis information calculation unit 1200 stores the corporate financial analysis information 2300 in the data storage unit 2000.
  • the corporate governance evaluation coefficient calculation unit 1300 calculates the corporate governance evaluation coefficient 2400 using the compliance information 2200 and the corporate financial analysis information 2300 stored in the data storage unit 2000.
  • the corporate governance evaluation coefficient 2400 indicates the degree of influence of the corporate financial analysis information 2300 on corporate compliance violations. Then, the corporate governance evaluation coefficient calculation unit 1300 stores the corporate governance evaluation coefficient 2400 in the data storage unit 2000.
  • the corporate governance information calculation unit 1400 uses the corporate financial analysis information 2300 and the corporate governance evaluation coefficient 2400 stored in the data storage unit 2000 to calculate a corporate governance index that is an index indicating the potential for compliance violation to occur. More preferably, the corporate governance information calculation unit 1400 calculates the corporate governance information 2600 using the corporate financial analysis master information 2500 in addition to the corporate financial analysis information 2300 and the corporate governance evaluation coefficient 2400. In this way, the corporate governance information calculation unit 1400 calculates the corporate governance information 2600 based on the corporate financial analysis information 2300 and the compliance information 2200. The corporate governance information calculation unit 1400 then stores the corporate governance information 2600 in the data storage unit 2000.
  • the supply chain information acquisition unit 1500 acquires supply chain information 2900 for each company's traded products and services based on the product and service information 2700 and BOM 2800 stored in the data storage unit 2000.
  • Supply chain information acquisition section 1500 then stores supply chain information 2900 in data storage section 2000.
  • the supply chain risk calculation unit 1600 calculates supply chain risk information 3000 indicating the risk of the entire supply chain of the company based on the corporate governance information 2600 and the supply chain information 2900.
  • Supply chain risk calculation section 1600 then stores supply chain risk information 3000 in data storage section 2000.
  • supply chain information acquisition unit 1500 and the supply chain risk calculation unit 1600 are used in the second embodiment, so they can be omitted in this embodiment.
  • product/service information 2700, BOM 2800, supply chain information 2900, and supply chain risk information 3000 can also be omitted.
  • FIG. 2 is a block diagram showing an example of the hardware configuration of the corporate governance information providing apparatus 1000 in the first embodiment.
  • the corporate governance information providing device 1000 includes a CPU 11, a RAM 12, a ROM 13, an auxiliary storage device 14, a display device 15, an input device 16, a media reading device 17, and an information receiving and transmitting device 18.
  • a CPU 11 a central processing unit 11
  • a RAM 12 a random access memory
  • ROM 13 a read-only memory
  • auxiliary storage device 14 a display device 15
  • an input device 16 a media reading device 17
  • an information receiving and transmitting device 18 an information receiving and transmitting device 18.
  • the CPU 11 Central Processing Unit
  • the CPU 11 executes various processes by executing a predetermined corporate governance information provision program loaded from the auxiliary storage device 14 into the RAM 12. Note that these various processes correspond to the processes of the information collection management unit 1100 to supply chain risk calculation unit 1600 in FIG. 1, and details thereof will be described later using a flowchart.
  • the corporate governance information providing program is, for example, an application program executable on an OS (Operating System) program.
  • the corporate governance information providing program may be realized by a plurality of programs for each function, or may be composed of a plurality of modules for each function.
  • the corporate governance information providing program may be installed in the auxiliary storage device 14 from a portable storage medium via the media reading device 17, for example. That is, the corporate governance information providing program can be stored in a storage medium.
  • the CPU 11 may execute processing according to a program other than the corporate governance information providing program. In this case, it is desirable to store this program in the auxiliary storage device 14.
  • the RAM 12 Random Access Memory
  • the ROM 13 Read Only Memory is a memory that stores programs and the like necessary for starting the corporate governance information providing apparatus 1000.
  • auxiliary storage device 14 can be realized by, for example, an HDD (Hard Disk Drive), and is a device that stores data and programs for executing various processes.
  • the auxiliary storage device 14 may be realized by an SSD (Solid State Drive) using a flash memory or the like.
  • the RAM 12, ROM 13, and auxiliary storage device 14 correspond to the data storage section 2000 in FIG.
  • the display device 15 outputs the processing results of the CPU 11 and the like.
  • the display device 15 can be realized by, for example, a CRT display, an LCD (Liquid Crystal Display), an organic EL (Electro-Luminence) display, or the like.
  • the input device 16 is, for example, a keyboard, a mouse, a microphone, or the like.
  • the media reading device 17 can be realized by a device that reads information from a portable storage medium such as a CD-ROM.
  • the information receiving and transmitting device 18 is a device that transmits and receives data to and from an external device.
  • the information receiving and transmitting device 18 is connected to the network 20 and can be realized by a device such as a wired LAN, wireless LAN, dial-up router, or infrared communication device.
  • the network 20 is connected to external devices and to the Internet or an intranet.
  • the display device 15, the input device 16, and the information receiving/transmitting device 18 correspond to the input/output interface section 1700 in FIG.
  • the display device 15 and the input device 16 may be configured as a single unit like a touch panel.
  • the corporate governance information providing apparatus 1000 can be realized by a computer. Further, in the first embodiment, the corporate governance information providing device 1000 has a display device 15, an input device 16, and a media reading device 17, but these are installed in a terminal device such as a tablet connected to the corporate governance information providing device 1000. Good too. In this case, the corporate governance information providing apparatus 1000 can be realized by a server shown in Example 2, which will be described later. Furthermore, even if the corporate governance information providing device 1000 is not implemented, at least one of the display device 15, the input device 16, and the media reading device 17 can be provided in a separate device. This concludes the explanation of the configuration of the first embodiment, and the processing flow thereof will be explained below. Note that the processing main body will be explained below using the configuration shown in FIG.
  • FIG. 3 is a flowchart showing the overall processing flow of the corporate governance information providing apparatus 1000 in the first embodiment.
  • the corporate governance information providing device 1000 evaluates the corporate governance of each company. (Step S10). Then, the corporate governance information providing apparatus 1000 evaluates supply chain risk based on the corporate governance evaluated in step S10 (step S20).
  • the details of the corporate governance information evaluation process in step S10 will be explained later with reference to FIG. 4, and the details of the evaluation in step S20 will be explained with reference to FIG. 11, which will be explained later.
  • the evaluation in step S10 and step S20 indicates calculating an index indicating corporate governance and supply chain risk.
  • FIG. 4 is a flowchart showing the flow of the corporate governance information evaluation process (step S10) in the first embodiment. Each process in FIG. 4 will be described in detail below.
  • the information collection management unit 1100 acquires corporate financial data, compliance violation information, etc. of each company via the input/output interface unit 1700 (step S100).
  • the information collection management unit 1100 stores the acquired data in each table of corporate financial data 2100 and compliance information 2200 in the data storage unit 2000.
  • the data acquired in this process and the details of the process will be explained.
  • FIG. 5 is a diagram showing an example of corporate financial data 2100 used in the first embodiment.
  • the corporate financial data 2100 includes a company name 2101, fiscal year 2102, sales 2103, operating income 2104, research and development expenses 2105, tangible fixed assets_equipment 2106, tangible fixed assets_tools 2107, and capital investment costs 2108. , cumulative depreciation_equipment 2109, and capital expenditure 2110 fields.
  • Financial data of each company can be automatically obtained from public information by web crawling or scraping. Note that financial data of companies that do not disclose their financial data, such as unlisted companies, may be obtained through individual interviews, etc., and by manually inputting the information. Alternatively, the information provided by an evaluation organization or the like may be purchased and the data may be registered via the input/output interface section 1700.
  • FIG. 6 is a diagram showing an example of compliance information 2200 used in the first embodiment.
  • Compliance information 2200 has fields of company name 2201, year of violation 2202, violation category 2203, and compliance violation 2204. These are data on the company where the violation occurred, the year, the category of violation, and the details of the compliance violation.
  • Compliance information 2200 can be automatically obtained by web crawling and scraping from public information such as published cases of violations of labor standards-related laws and regulations by the Ministry of Health, Labor and Welfare, recall information by the Ministry of Economy, Trade and Industry, and items listed in securities reports. can. Note that private information obtained individually may be registered via the input/output interface section 1700 by manual input or data upload.
  • the compliance violation category can be defined, for example, using the seven core subjects of ISO26000 (social responsibility).
  • the category to which a past violation belongs can be determined by analyzing the obtained compliance violation information using natural language processing or the like. As a result, compliance information 2200 including correspondence information between compliance violation matter 2204 and violation category 2203 can be generated.
  • the corporate financial analysis information calculation unit 1200 Based on the data stored in the compliance information 2200, the corporate financial analysis information calculation unit 1200 extracts the corporate financial data 2100 of all registered companies before the violation occurred, starting from the violation year 2202 (step S200 ). Then, the processing from step S300 to step S310 is repeated for each predetermined unit, such as each compliance violation case and each category in which there is no compliance violation.
  • the corporate financial analysis information calculation unit 1200 determines whether the corporate financial data extracted in step S200 includes data for the past M years starting from the year in which the violation occurred (step S300). As a result, if there is at least one year of data for the past M years starting from the year in which the violation occurred, the process moves to step S310. If there is no corporate financial data 2100, steps S300 to S310 are executed for the next processing unit. Furthermore, if there is no next processing unit, the process moves to step S400.
  • FIG. 7 is a diagram showing an example of corporate financial analysis information 2300 used in the first embodiment.
  • the corporate financial analysis information 2300 has fields of analysis period 2301, company name 2302, operating profit rate 2303, sales R&D expense ratio 2304, equipment investment level 2305, equipment renewal level 2306, and equipment maintenance level 2307.
  • the corporate financial analysis information 2300 is calculated based on the corporate financial data 2100 as an index that can estimate the potential for compliance violation.
  • This indicator can also be processed with normalized data.
  • the corporate financial analysis information calculation unit 1200 acquires corporate financial data of "Company K” for the past three years. For this purpose, the corporate financial analysis information calculation unit 1200 extracts the corporate financial data of "Company K” for "2006, 2007, and 2008” based on the corporate financial data 2100 of FIG. Based on this extracted data, the corporate financial analysis information calculation unit 1200 calculates each field of the corporate financial analysis information 2300 as follows.
  • the corporate financial analysis information 2300 is not limited to being calculated as an average value.
  • the "M-year average" in the first embodiment may be replaced with "the difference between the data of a specific year (for example, the year of compliance violation occurrence) and the previous year.”
  • the corporate financial analysis information 2300 is not limited to the fields described in this embodiment.
  • the degree of equipment renewal may be calculated using data on tangible fixed assets_vehicles and cumulative depreciation_vehicles.
  • other representative values such as a median value other than the average value may be used.
  • the corporate governance evaluation coefficient calculation unit 1300 calculates the corporate governance evaluation coefficient 2400 based on the corporate financial analysis information 2300 related to the compliance violation matter ( Step S400).
  • FIG. 8 is a diagram showing an example of the corporate governance evaluation coefficient 2400 used in the first embodiment.
  • Corporate governance evaluation coefficient 2400 includes violation category 2401, evaluation coefficient: operating profit ratio 2402, evaluation coefficient: sales R&D expense ratio 2403, evaluation coefficient: capital investment degree 2404, evaluation coefficient: equipment renewal degree 2405, evaluation coefficient: equipment It has each field of maintenance level 2406.
  • the corporate financial analysis information 2300 has evaluation coefficient values for evaluating each of these fields. An example of a method for calculating each evaluation coefficient value of the corporate governance evaluation coefficient 2400 will be described below.
  • the corporate governance evaluation coefficient calculation unit 1300 sets the compliance violations stored in the compliance information 2200 as k(1, 2%), numbers the violation categories in the order of the categories extracted in step S110, and sets the compliance violations stored in the compliance information 2200 as k(1, 2). ,2,). Then, the corporate governance evaluation coefficient calculation unit 1300 extracts corporate financial analysis information 2300 corresponding to the company that violated compliance and the year in which the violation occurred, and corporate financial analysis information 2300 for all companies that did not violate compliance in the year in which the compliance violation occurred. do. Then, the corporate governance evaluation coefficient calculation unit 1300 formulates the compliance violation potential Q j,k according to the following (Equation 1).
  • the operating profit rate is defined as A k , the R&D cost ratio to sales as B k , the degree of capital investment as C k , the degree of equipment renewal as D k , and the degree of equipment maintenance as E k .
  • evaluation coefficient: operating profit rate is a j
  • evaluation coefficient: sales R&D expense ratio is b j
  • evaluation coefficient: degree of capital investment is c j
  • evaluation coefficient: degree of equipment renewal is d j
  • evaluation coefficient: equipment maintenance The degree is defined as e j .
  • Q j, k a j A k +b j B k +c j C k +d j D k +e j E k ...
  • the corporate governance evaluation coefficient calculation unit 1300 performs multiple regression analysis by substituting target data stored in the corporate financial analysis information 2300 for A k , B k , C k , D k , and E k . a 1 , b 1 , c 1 , d 1 , and e 1 can be calculated.
  • the corporate governance evaluation coefficient calculation unit 1300 calculates an evaluation coefficient for each violation category.
  • a j A 1 +b j B 1 +c j C 1 +d j D 1 +e j E 1 +... Q j, 1
  • a j A 2 +b j B 2 +c j C 2 +d j D 2 +e j E 2 +... Q j, 2 ...
  • a j A k +b j B k +c j C k +d j D k +e j E k +... Q j, k
  • a j , b j , c j , d j , e j are calculated, and an evaluation coefficient for each violation category is calculated.
  • each evaluation coefficient in the violation category "fair business practices” is as follows.
  • the evaluation coefficient for operating profit margin is "1.0”.
  • the evaluation coefficient for the sales R&D expense ratio is 0.6.
  • the evaluation coefficient for the degree of capital investment is "0.8".
  • the evaluation coefficient for the equipment renewal degree is "0.2”.
  • the evaluation coefficient for equipment maintenance is "0.4".
  • the corporate governance index 2603 which means compliance violation potential
  • the corporate governance index 2603 is calculated using a linear formula obtained by multiplying the corporate financial analysis information 2300 by an evaluation coefficient, and an example of calculating the evaluation coefficient has been described here.
  • the present invention is not limited to this method; for example, an input/output model with corporate financial analysis information 2300 as input and corporate governance index 2603 as output may be created using a method such as machine learning. .
  • step S500 extracts corporate financial data 2100 of all registered companies.
  • step S600 determines whether the corporate financial data 2100 acquired in step S500 includes at least one year of data for the past N years starting from the present. As a result, if there is at least one year's worth of data for the past N years starting from the present, the process moves to step S610. If not, the process moves to step S620. Note that steps S600 to S620 are executed for each target company.
  • the corporate financial analysis information calculation unit 1200 reads out the corporate financial analysis master information 2500 prepared in advance (step S620). For example, if a company has been established for less than one year and has no financial data, the average value of corporate financial analysis information calculated based on the financial data of other companies for N years after establishment is stored in the corporate financial analysis master information 2500. The value is then used as corporate financial analysis information for the company.
  • FIG. 9 is a diagram showing an example of corporate financial analysis master information 2500 used in the first embodiment.
  • the corporate financial analysis master information 2500 has fields of an operating profit rate 2501, a sales research and development ratio 2502, a facility investment level 2503, an equipment renewal level 2504, and an equipment maintenance level 2505.
  • This corporate financial analysis master information 2500 indicates master data for a company that has been established for less than one year and does not have corporate financial data 2100.
  • the operating profit rate 2501 can use the average value of each company's operating profit rate 2303 calculated based on the company's financial data for N years after establishment.
  • the sales R&D ratio 2502, capital investment level 2503, equipment renewal level 2504, and equipment maintenance level 2505 are determined by using the average value of each company in the following items calculated based on the company's financial data for N years after establishment. It can be calculated. In other words, it can be calculated by using the average values of each company's R&D expense ratio to sales 2304, equipment investment ratio 2305, equipment renewal ratio 2306, and equipment maintenance ratio 2307.
  • step S610 uses the corporate financial analysis information 2300 shown in FIG. 7 described above.
  • the corporate financial analysis information calculation unit 1200 calculates the corporate financial analysis information 2300 from the data of the past three years (2019, 2020, 2021) starting from the present as shown in FIG. 4, assuming that the current year is 2022. .
  • Each table can be calculated using the same method as in step S310.
  • the corporate financial analysis information calculation unit 1200 calculates corporate financial analysis information 2300 based on the corporate financial data 2100 for the past N years starting from the present (step S610).
  • the corporate governance information calculation unit 1400 calculates corporate governance information 2600 using the corporate financial analysis information 2300 and the corporate governance evaluation coefficient 2400 (step S700).
  • the corporate financial analysis information 2300 an analysis period 2301, a company name 2302, an operating profit rate 2303, a ratio of R&D expenses to sales 2304, a facility investment level 2305, an equipment renewal level 2306, and an equipment maintenance level 2307 are used.
  • evaluation coefficient: operating profit ratio 2402, evaluation coefficient: sales R&D expense ratio 2403, evaluation coefficient: equipment investment level 2404, evaluation coefficient: equipment renewal level 2405, evaluation coefficient: equipment maintenance level. 2406 is used.
  • FIG. 10 is a diagram showing an example of corporate governance information 2600 used in the first embodiment.
  • corporate governance information 2600 indicates the compliance violation potential of the target company.
  • the corporate governance information 2600 has fields of a company name 2601, a category 2602, and a corporate governance index 2603.
  • the corporate governance index 2603 of the corporate governance information 2600 is an index of compliance violation occurrence potential, and in calculating it, the corporate governance information calculation unit 1400 processes as follows (1) to (4). .
  • Data matching the company name 2601 and category 2602 is acquired from the corporate financial analysis information 2300 and the corporate governance evaluation coefficient 2400.
  • the operating profit ratio 2303 stored in the corporate financial analysis information 2300 is multiplied by the evaluation coefficient: operating profit ratio 2402 stored in the corporate governance evaluation coefficient 2400.
  • the R&D expense ratio to sales 2304, the equipment investment level 2305, the equipment renewal ratio 2306, and the equipment maintenance ratio 2307 are each multiplied by the following items. That is, the evaluation coefficient: R&D cost ratio to sales 2403, the evaluation coefficient: equipment investment degree 2404, the evaluation coefficient: equipment renewal degree 2405, and the evaluation coefficient: equipment maintenance degree (2406) are respectively multiplied.
  • the corporate governance index 2603 is calculated by taking the sum of (2) and (3). That is, the corporate governance index 2603 is calculated based on the company's operating profit, research and development expenses, and equipment costs.
  • the corporate governance information calculation unit 1400 processes as follows. That is, data corresponding to the company "Company H" is extracted from the corporate financial analysis information 2300 and data corresponding to the violation category "fair corporate practices" from the corporate governance evaluation coefficient 2400. Then, each of the former corporate financial analysis information is multiplied by each corresponding corporate evaluation governance coefficient of the latter, and the sum of the results is calculated.
  • the corporate governance information calculation unit 1400 performs the above-mentioned process by replacing the corporate financial analysis information 2300 with the corporate financial analysis master information 2500. That is, in the same way as the calculation method described above, the operating profit rate 2501, the sales research and development ratio 2502, the equipment investment level 2503, the equipment renewal ratio 2504, and the equipment maintenance ratio 2505 are each multiplied by the following items. That is, the evaluation coefficient: operating profit rate 2402, the evaluation coefficient: sales research and development expense ratio 2403, the evaluation coefficient: equipment investment degree 2404, the evaluation coefficient: equipment renewal degree 2405, and the evaluation coefficient: equipment maintenance degree 2406 are respectively multiplied. Then, corporate governance information 2600 is calculated by taking the sum of these.
  • step S800 the process of this embodiment is temporarily ended. Note that steps S700 and S800 are repeated for each predetermined unit, such as each compliance violation case or each category in which there is no compliance violation, similarly to steps S300 to S310. This concludes the explanation of the first embodiment. According to this embodiment, it is possible to more appropriately evaluate a company depending on the status of compliance violations.
  • Example 2 in addition to Example 1, a supply chain in a company is evaluated. Therefore, the configuration is the same as that of the first embodiment.
  • the processing flow and data showing the differences from the first embodiment will be explained below.
  • FIG. 11 is a flowchart showing the flow of supply chain risk evaluation processing in the second embodiment. Each process in FIG. 11 will be described in detail below.
  • the supply chain information acquisition unit 1500 acquires data regarding the company's products and services and the BOM data of the products through manual input/data upload or in collaboration with an EDI system or the like via the input/output interface unit 1700. . Then, the supply chain information acquisition unit 1500 stores the BOM data in the data storage unit 2000 (step S1000). Note that the EDI system and the like are connected to the corporate governance information providing apparatus 1000 via the network 20. The details of the data acquired in step S1000 will be described below.
  • FIG. 12 is a diagram showing an example of handled product/service information 2700 used in the second embodiment.
  • the product/service information 2700 has fields of company name 2701 and product/service 2702, and indicates the products and services that each company can provide.
  • FIG. 13 is a diagram showing an example of a BOM (Bill, Of, Materials) 2800 used in the second embodiment.
  • the BOM 2800 has fields of parent parts handling company 2801, parent parts 2802, child parts handling company 2803, and child parts 2804, and is information indicating the parts and their manufacturers for the products handled by the company.
  • the supply chain risk calculation unit 1600 extracts child parts and companies that handle the child parts for the products and services handled by the company (step S1100).
  • the company name "Company H” and the product/service "motor” of the extracted product/service information 2700 are used as the starting point.
  • the parent part handling company is "Company H” and the parent part is data that matches "Motor”, the child part “Stator”, the child parts handling company “X Company", and the child part “Rotor”. ” and the subsidiary parts handling company “Company Y” are extracted.
  • supply chain risk calculation unit 1600 determines whether the process in step S1100 has been executed for each child part. In other words, the supply chain risk calculation unit 1600 determines whether there is a parts supplier for the extracted child parts and companies that handle the child parts (step S1200). As a result, if there is a parts supplier (YES), the process returns to step S1100 and the process for the next child part is executed. If the process has not ended (NO), the process moves to step S1300.
  • the supply chain risk calculation unit 1600 determines whether there is a child part (grandchild part) for the child part in step S1100. As a result, if there is a grandchild part (YES), the process moves to step S1500. Furthermore, if there is no grandchild part (NO), the process moves to step S1400. Further, the supply chain risk calculation unit 1600 executes the same process as step S1100 on the grandchild part (step S1400).
  • the supply chain risk calculation unit 1600 extracts a group of parts of the product (including child parts of the parts) and a group of companies that handle the parts. For example, for the company name "Company H” and product/service "motor” extracted in step S1100, the child part “stator” and the company “X” that handles the child parts are targeted. Then, the supply chain risk calculation unit 1600 calculates that the parent part handling company in the BOM 2800 is "Company Extract. Note that the parent component in step S1400 refers to a child component, and the child component refers to a grandchild component.
  • step S1100 and step S1400 the supply chain risk calculation unit 1600 executes the following process for the companies and their products and services extracted in step S1100 and step S1400.
  • Company supply chain information is acquired based on the parent part, parent part handling company, and child parts and child part handling company extracted in step S1200 (step S1500). The details of the data and processing contents handled in step S1500 will be explained below.
  • FIG. 14 is a diagram showing an example of supply chain information 2900 used in the second embodiment.
  • the supply chain information 2900 has fields of company name 2901, products/services 2902, and supply chain constituent companies 2903.
  • the supply chain information 2900 is information regarding companies that constitute the supply chain for each product/service handled by the company.
  • the company name extracted in step S1100 is "Company H” and the traded product/service is motor.
  • steps S1100 to S1400 the companies that make up the supply chain, "Company H, Company X, Company Y, Company A, Company B, Company C, and Company D" are extracted as subsidiary parts handling companies. become.
  • step S1600 extracts corporate governance information 2600 of companies that constitute the supply chain for each product and service traded by the company, based on the supply chain information 2900 stored in the data storage unit 2000.
  • step S1600 The contents of step S1600 will be explained in detail below.
  • the target company is "Company H” and the product/service handled is "Motor.”
  • the supply chain constituent companies are "Company H, Company X, Company Y, Company A, Company B, Company C, and Company D.”
  • the supply chain risk calculation unit 1600 extracts the corporate governance indicators 2603 for each category of company names "Company H, Company X, Company Y, Company A, Company B, Company C, Company D" from the corporate governance information 2600. .
  • the supply chain risk calculation unit 1600 calculates the supply chain risk for each product/service traded by the company based on the corporate governance information 2600 and the supply chain information 2900 extracted in step S1600. Then, the supply chain risk calculation unit 1600 stores it in the table of supply chain risk information 3000 in the data storage unit 2000 (step S1700). The details of the data handled in this process will be explained below.
  • FIG. 15 is a diagram showing an example of supply chain risk information 3000 used in the second embodiment.
  • Supply chain risk information 3000 has fields of transaction candidate company 3001, products/services handled 3002, and supply chain risk value 3003.
  • the supply chain risk information 3000 is information regarding risks in the supply chain of the transaction candidate company.
  • the product/service 3002 handled by "Company H” a transaction candidate company 3001, is "motor”.
  • “43.17” is stored as the supply chain risk value 3003.
  • This supply chain risk value 3003 indicates risks in the supply chain such as supply shortages and delays at "Company H".
  • the supply chain risk value 3003 of Company H can be calculated, for example, as the sum of the corporate governance indicators 2603 of the supply chain constituent companies 2903 of “Company H” in the supply chain information 2900. Note that the larger the supply chain risk value 3003 is, the lower the compliance violation potential of the company becomes.
  • step S1700 the explanation of the process of this embodiment ends.
  • FIG. 16 is a diagram showing an example of a screen on the corporate governance information providing apparatus 1000 in the second embodiment. Note that this screen is displayed on the input/output interface unit 1700, that is, the display device 15 in FIG.
  • a transaction desired content input screen 1701 a transaction desired content input screen 1701, a supply chain risk value display screen 1702 of a transaction candidate company, and a supply chain display screen 1703 are shown as screen examples.
  • the user uses the input/output interface section 1700 to input the desired transaction details into the desired transaction details input screen 1701.
  • "motor" which is one of the products and services handled, is input as the transaction content.
  • the supply chain risk value display screen 1702 of the transaction candidate company displays the supply chain risk value of the transaction candidate company that corresponds to the input transaction details.
  • the transaction candidate company is a company that handles "motors," which is the input transaction content, and can be identified from the supply chain information 2900.
  • the supply chain display screen 1703 displays details of the supply chain of the transaction candidate company and corporate governance information of the supply chain constituent companies.
  • the supply chain details are a diagram of the connection relationships of the supply chain constituent companies 2903 of the supply chain information 2900.
  • the corporate governance information of the supply chain constituent companies can be specified by the corporate governance index 2603 of each company specified in the supply chain constituent companies 2903, which is included in the corporate governance information 2600.
  • the user can confirm transaction candidate companies in descending order of supply chain risk value.
  • Embodiment 3 shows an example in which the corporate governance information providing device 1000 is provided to a "place" (intercompany transaction service system) that provides intercompany transactions.
  • FIG. 17 is a configuration diagram of an inter-company transaction service system according to the third embodiment.
  • a purchasing/procuring company system 2-1, an order-receiving company system 2-2, a corporate governance information providing device 1000, and a transaction support device 1001 are interconnected via a network 20.
  • FIG. 17 shows one purchasing/procuring company system 2-1 and one order receiving company system 2-2, a plurality of these may exist.
  • the corporate governance information providing device 1000 has the same configuration as the first and second embodiments.
  • the corporate governance information providing device 1000 can be realized by a so-called server, and the display device 15, input device 16, and media reading device 17 in FIG. 2 can be omitted.
  • the transaction support device 1001 is a device that supports and mediates transactions of products and services, and can be realized by a computer.
  • the transaction support device 1001 transmits and receives information such as order information, selection of a company to order from, inquiry information, and order permission in order to support and mediate transactions.
  • the purchasing/procuring company system 2-1 is a system used by purchasing/procuring companies to purchase products and services.
  • the purchasing/procuring company system 2-1 includes a terminal device group 21-1 and a purchasing/procuring device 22 that are connected to each other via an in-house network.
  • the terminal device group 21-1 selects a supplier, creates order information, etc. according to user operations.
  • the purchasing/procurement device 22 transmits order information to the transaction support device 1001 and sends corporate governance information and supply chain information to the corporate governance information providing device 1000 according to information from the terminal device group 21-1. Send risk creation instructions.
  • the terminal device group 21-1 can display corporate governance information and supply chain risks of the client company.
  • the terminal device group 21-1 can display the screen shown in FIG. 16. Additionally, purchasing and procurement companies may receive orders for the products and services they handle. Therefore, it is possible to provide the order receiving company system 2-2 or the order receiving device 23 in the purchasing/procuring company system 2-1.
  • the order-receiving company system 2-2 is a system used by the order-receiving company in order to provide products and services.
  • the order-receiving company system 2-2 includes a terminal device group 21-2 and an order-receiving device 23 that are connected to each other via an in-house network.
  • the terminal device group 21-2 executes creation of order-related information such as order approval and delivery date in accordance with user operations.
  • the order receiving device 23 transmits information regarding orders to the transaction support device 1001, and sends corporate governance information and supply chain risk information to the corporate governance information providing device 1000, according to information from the terminal device group 21-2. or send creation instructions.
  • the terminal device group 21-2 can display corporate governance information and supply chain risks of the client company.
  • the terminal device group 21-2 can display the screen shown in FIG. 16.
  • the company receiving the order purchases the products and services it handles. It is also possible to procure it. Therefore, it is possible to provide the purchasing/procuring company system 2-1 or the purchasing/procuring device 22 in the order receiving company system 2-2.
  • the purchasing/procuring company system 2-1 and the order receiving company system 2-2 may have the functions of each other.
  • the inter-company transaction service system can also be realized by a so-called EDI (electronic interchange) system.
  • the corporate governance information may be used for an intermediary function in the transaction support device 1001. For example, in response to a request to select a business partner from the purchasing/procurement company system 2-1 or order receiving company system 2-2, corporate governance information may be used to support order placement or order acceptance by selecting candidates. .
  • the present invention is not limited to the above-described embodiments, and includes various modifications.
  • each of the embodiments described above has been described in detail to explain the present invention in an easy-to-understand manner, and the present invention is not necessarily limited to having all the configurations described.
  • it is possible to replace a part of the configuration of one embodiment with the configuration of another embodiment and it is also possible to add the configuration of another embodiment to the configuration of one embodiment.
  • the corporate governance information providing device 1000 can be implemented as an in-house device.
  • each of the above-mentioned configurations, functions, processing units, processing means, etc. may be partially or entirely realized by hardware, for example, by designing an integrated circuit.
  • each of the above configurations, functions, etc. may be realized by software by a processor interpreting and executing a program for realizing each function.
  • Information such as programs, tables, and files that realize each function can be stored in memory, a recording device such as a hard disk, an SSD (Solid, State, Drive), or a recording medium such as an IC card, SD card, or DVD. can.
  • control lines and information lines are shown that are considered necessary for explanation, and not all control lines and information lines are necessarily shown in the product. In reality, almost all components may be considered to be interconnected.

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Abstract

Provided is a system for collecting corporate governance information and evaluating the corporate governance, thereby evaluating the risk of a transaction with a supplier, in order to evaluate the corporate governance of the supplier in advance before carrying out corporate transactions such as parts procurement. This corporate governance information provision device 1000 provides corporate governance information about a company, and has an information collection/management unit 1100 that collects corporate financial data 2100 indicating the financial state of the company, and compliance information 2200, and a corporate governance information calculation unit 1400 that, on the basis of the corporate financial data 2100 and the compliance information 2200, calculates corporate governance information 2600 indicating a potential for occurrence of a compliance violation by the company. The calculated corporate governance information 2600 is then provided by the corporate governance information provision device.

Description

企業統治情報提供装置及びその方法Corporate governance information provision device and method

 本発明は、企業統治性を評価するための技術に関する。なお、本発明の企業には、業務を提供する各種組織が含まれる。 The present invention relates to technology for evaluating corporate governance. Note that the company of the present invention includes various organizations that provide services.

 取引や投資などのために、企業を評価することが望まれている。このために、例えば、特許文献1には、「経営支援システム10は、インターネット等の通信ネットワークNWを介して接続されている情報処理端末30を介して、対象企業によるESG(Environment,Social,Governance)経営を支援するためのESG経営支援サービスを提供する。当該システム10は、特定の企業におけるESG情報を定量的にデータとて収集し、当該データに基づく情報(例えば、各指標のESG目標の達成度、各指標のESGデータ及び財務データの各々並びにこれらの相関性分析の結果、将来予測)を出力する。」ことが記載されている。 It is desired to evaluate companies for transactions, investments, etc. For this purpose, for example, Patent Document 1 states, ``The management support system 10 uses the information processing terminal 30 connected via the communication network NW such as the Internet to monitor ESG (Environment, Social, Governance) ) Provides an ESG management support service to support management.The system 10 quantitatively collects ESG information in a specific company as data, and provides information based on the data (for example, the ESG goals of each index). "The level of achievement, each of the ESG data and financial data for each index, the results of correlation analysis, and future forecasts) are output."

特開2021-9696号公報JP 2021-9696 Publication

 ここで、部品調達などの企業間取引等の取引を行う場合、取引元企業は取引先企業の信頼性を予め査定し、ESG評価など信頼性の高いサプライヤと契約することが求められる。なぜなら、取引元企業の市場からの評価は、取引元企業が提供する製品に対する材料・製造・輸送に対する信頼性・健全性(以下、企業統治性とする)が評価され、取引元企業の企業統治性だけではなく、取引先企業の企業統治性が重要となるからである。前述の観点から、企業間取引において、取引先企業の候補(以下、取引候補企業とする)の企業統治性と取引候補企業が属するサプライチェーン全体のリスクを予め評価することが必要となる。 Here, when conducting business-to-business transactions such as parts procurement, the business partner company is required to assess the reliability of the business partner company in advance and contract with a highly reliable supplier based on ESG evaluation. This is because a supplier company is evaluated by the market based on the reliability and soundness (hereinafter referred to as corporate governance) of the materials, manufacturing, and transportation of products provided by the supplier company. This is because not only gender but also the corporate governance of the client company is important. From the above-mentioned perspective, in business-to-business transactions, it is necessary to evaluate in advance the corporate governance of candidate business partners (hereinafter referred to as transaction candidate companies) and the risks of the entire supply chain to which the transaction candidate companies belong.

 また、特許文献1には、企業の収益力、競争力、環境対応、人権等に関する情報などのESG評価に関する情報を収集し、財務データと相関性を評価する仕組みが記載されている。ここで、特許文献1によれば、企業間取引を行う前に、取引候補企業の企業統治性と財務状態の相関性を可視化することは可能である。しかしながら、特許文献1では、取引候補企業の企業統治性と取引候補企業が属するサプライチェーン全体のリスクなどの該当企業に対する評価することはできない。 Further, Patent Document 1 describes a mechanism for collecting information related to ESG evaluation, such as information regarding a company's profitability, competitiveness, environmental response, human rights, etc., and evaluating the correlation with financial data. Here, according to Patent Document 1, it is possible to visualize the correlation between the corporate governance and financial condition of a transaction candidate company before conducting an inter-company transaction. However, in Patent Document 1, it is not possible to evaluate the corporate governance of a transaction candidate company and the risk of the entire supply chain to which the transaction candidate company belongs.

 そこで、本発明では、実状に即した企業の評価を実現することを課題とする。 Therefore, the present invention aims to realize evaluation of companies in accordance with the actual situation.

 上記課題を解決するために、本発明では、対象となる企業の企業財務データおよびコンプライアンス情報を用いて、該当の企業の評価指標となる企業統治情報を算出する。本願は上記課題を解決する手段を複数含んでいるが、その一例を挙げるならば、例えば、特許請求の範囲に記載の構成を採用する。つまり、本実施形態では、企業の企業統治情報を提供する企業統治情報提供装置において、前記企業の財務状況を示す企業財務データおよびコンプライアンス情報を収集する情報収集管理部と、前記企業財務データおよび前記コンプライアンス情報に基づいて、前記企業のコンプライアンス違反発生ポテンシャルを示す企業統治情報を算出する企業統治情報算出部を有し、算出された前記企業統治情報を提供する企業統治情報提供装置として実現できる。また、本発明態には、企業統治情報提供装置を用いた企業統治情報提供方法も含まれる。 In order to solve the above problems, the present invention uses corporate financial data and compliance information of a target company to calculate corporate governance information that serves as an evaluation index for the target company. The present application includes a plurality of means for solving the above problems, and one example thereof is the structure described in the claims. That is, in this embodiment, in a corporate governance information providing device that provides corporate governance information of a company, an information collection management section that collects corporate financial data and compliance information indicating the financial status of the company, and an information collection management section that collects the corporate financial data and the compliance information. The present invention can be implemented as a corporate governance information providing device that includes a corporate governance information calculation unit that calculates corporate governance information indicating the compliance violation potential of the company based on compliance information, and provides the calculated corporate governance information. The present invention also includes a corporate governance information providing method using the corporate governance information providing device.

 本発明によれば、より正確な企業統治性を算出することができ、企業の評価が可能となる。また、上記した以外の課題、構成、及び効果は、以下の実施形態の説明により明らかにされる。 According to the present invention, more accurate corporate governance can be calculated and companies can be evaluated. Further, problems, configurations, and effects other than those described above will be made clear by the description of the embodiments below.

実施例1における企業統治情報提供装置の構成例を示す機能ブロックの一例を示す図。1 is a diagram illustrating an example of functional blocks illustrating a configuration example of a corporate governance information providing device in Example 1. FIG. 実施例1における企業統治情報提供装置のハードウェア構成例を示すブロック図。1 is a block diagram showing an example of a hardware configuration of a corporate governance information providing device in Example 1. FIG. 実施例1における企業統治情報提供装置の全体の処理の流れを示すフローチャート。2 is a flowchart showing the overall processing flow of the corporate governance information providing device in the first embodiment. 実施例1における企業統治情報評価処理(ステップS10)の流れを示すフローチャート。5 is a flowchart showing the flow of corporate governance information evaluation processing (step S10) in the first embodiment. 実施例1で用いられる企業財務データの一例を示す図。3 is a diagram showing an example of corporate financial data used in Example 1. FIG. 実施例1で用いられるコンプライアンス情報の一例を示す図。3 is a diagram showing an example of compliance information used in Example 1. FIG. 実施例1で用いられる企業財務分析情報の一例を示す図。3 is a diagram showing an example of corporate financial analysis information used in Example 1. FIG. 実施例1で用いられる企業統治評価係数の一例を示す図。3 is a diagram showing an example of a corporate governance evaluation coefficient used in Example 1. FIG. 実施例1で用いられる企業財務分析マスタ情報の一例を示す図。FIG. 3 is a diagram showing an example of corporate financial analysis master information used in the first embodiment. 実施例1で用いられる企業統治情報の一例を示す図。3 is a diagram showing an example of corporate governance information used in Example 1. FIG. 実施例2におけるサプライチェーンリスク評価の処理の流れを示すフローチャート。7 is a flowchart showing the flow of supply chain risk assessment processing in Example 2. 実施例2で用いられる取扱製品・サービス情報の一例を示す図。FIG. 7 is a diagram showing an example of handled product/service information used in Example 2. 実施例2で用いられるBOMの一例を示す図。FIG. 3 is a diagram showing an example of a BOM used in Example 2; 実施例2で用いられるサプライチェーン情報の一例を示す図。FIG. 7 is a diagram illustrating an example of supply chain information used in Example 2. 実施例2で用いられるサプライチェーンリスク情報の一例を示す図。FIG. 7 is a diagram illustrating an example of supply chain risk information used in Example 2. 実施例2における企業統治情報提供装置での画面例を示す図。FIG. 7 is a diagram illustrating an example of a screen on the corporate governance information providing device in Example 2; 実施例3における企業取引支援システムの構成図。FIG. 3 is a configuration diagram of a corporate transaction support system in Embodiment 3.

 以下、本発明の一実施形態について説明する。本実施形態では、提供する企業統治情報として、企業統治情報を算出し、これを提供する。つまり、本実施形態では、企業の企業統治情報を提供する企業統治情報提供装置において、前記企業の財務状況を示す企業財務データおよびコンプライアンス情報を収集する情報収集管理部と、前記企業財務データおよび前記コンプライアンス情報に基づいて、前記企業のコンプライアンス違反発生ポテンシャルを示す企業統治情報を算出する企業統治情報算出部を有し、算出された前記企業統治情報を提供する企業統治情報提供装置として実現できる。また、本実施形態には、企業統治情報提供装置を用いた企業統治情報提供方法も含まれる。さらに、コンピュータを企業統治情報提供装置として機能させるための企業統治情報提供プログラムやこれを格納する記憶媒体も、本実施形態に含まれる。 An embodiment of the present invention will be described below. In this embodiment, corporate governance information is calculated and provided as the corporate governance information to be provided. That is, in this embodiment, in a corporate governance information providing device that provides corporate governance information of a company, an information collection management section that collects corporate financial data and compliance information indicating the financial status of the company, and an information collection management section that collects the corporate financial data and the compliance information. The present invention can be implemented as a corporate governance information providing device that includes a corporate governance information calculation unit that calculates corporate governance information indicating the compliance violation potential of the company based on compliance information, and provides the calculated corporate governance information. The present embodiment also includes a corporate governance information providing method using the corporate governance information providing device. Furthermore, the present embodiment also includes a corporate governance information providing program for causing a computer to function as a corporate governance information providing device and a storage medium storing the program.

 本実施形態によれば、より適切な企業統治情報を提供することができる。以下では、本実形態の具体的な例を示す実施例について、図面を用いて説明する。 According to this embodiment, more appropriate corporate governance information can be provided. Examples illustrating specific examples of this embodiment will be described below with reference to the drawings.

 図1は、実施例1における企業統治情報提供装置1000の機能ブロックの一例を示す図である。企業統治情報提供装置1000は、情報収集管理部1100、企業財務分析情報算出部1200、企業統治評価係数算出部1300、企業統治情報算出部1400、サプライチェーン情報取得部1500、サプライチェーンリスク算出部1600、入出力インタフェース部1700、データ記憶部2000を有する。 FIG. 1 is a diagram showing an example of functional blocks of a corporate governance information providing apparatus 1000 in the first embodiment. The corporate governance information providing device 1000 includes an information collection management section 1100, a corporate financial analysis information calculation section 1200, a corporate governance evaluation coefficient calculation section 1300, a corporate governance information calculation section 1400, a supply chain information acquisition section 1500, and a supply chain risk calculation section 1600. , an input/output interface section 1700, and a data storage section 2000.

 まず、情報収集管理部1100は、入出力インタフェース部1700を介して、企業の財務データである企業財務データおよびコンプライアンスに関するコンプライアンス情報を収集する。ここで、企業財務データは、財務諸表などから取得できる。また、コンプライアンス情報は、労働基準関係法令違反に係る公表事例や有価証券報告書などから取得でき、コンプライアンス違反の実績を示すデータが含まれる。これらは、企業財務データ2100とコンプライアンス情報2200として、情報収集管理部1100がデータ記憶部2000に格納する。 First, the information collection management unit 1100 collects corporate financial data, which is financial data of the company, and compliance information regarding compliance, via the input/output interface unit 1700. Here, corporate financial data can be obtained from financial statements and the like. In addition, compliance information can be obtained from published cases of violations of labor standards-related laws and regulations, securities reports, etc., and includes data showing the track record of compliance violations. These are stored in the data storage unit 2000 by the information collection management unit 1100 as corporate financial data 2100 and compliance information 2200.

 また、企業財務分析情報算出部1200は、データ記憶部2000に格納されている企業財務データ2100を用いて、企業財務分析情報2300を算出する。企業財務分析情報2300は、企業の財務状況を分析する情報であり、企業の売上に対する設備投資額により算出される設備更新の指標などを利用することができる。この企業財務分析情報2300として、コンプライアンス違反ポテンシャルを推定可能な指標を用いることができる。なお、企業財務分析情報算出部1200は、企業財務分析情報2300を、データ記憶部2000に格納する。 Further, the corporate financial analysis information calculation unit 1200 uses the corporate financial data 2100 stored in the data storage unit 2000 to calculate corporate financial analysis information 2300. The corporate financial analysis information 2300 is information for analyzing the financial situation of a company, and can use an index for equipment renewal calculated based on the amount of equipment investment relative to sales of the company. As this corporate financial analysis information 2300, an index capable of estimating compliance violation potential can be used. Note that the corporate financial analysis information calculation unit 1200 stores the corporate financial analysis information 2300 in the data storage unit 2000.

 また、企業統治評価係数算出部1300は、データ記憶部2000に格納されているコンプライアンス情報2200および企業財務分析情報2300を用いて、企業統治評価係数2400を算出する。この企業統治評価係数2400は、企業のコンプライアンス違反事項に対する、企業財務分析情報2300の影響度を示す。そして、企業統治評価係数算出部1300は、企業統治評価係数2400を、データ記憶部2000に格納する。 Further, the corporate governance evaluation coefficient calculation unit 1300 calculates the corporate governance evaluation coefficient 2400 using the compliance information 2200 and the corporate financial analysis information 2300 stored in the data storage unit 2000. The corporate governance evaluation coefficient 2400 indicates the degree of influence of the corporate financial analysis information 2300 on corporate compliance violations. Then, the corporate governance evaluation coefficient calculation unit 1300 stores the corporate governance evaluation coefficient 2400 in the data storage unit 2000.

 また、企業統治情報算出部1400は、データ記憶部2000に格納された企業財務分析情報2300および企業統治評価係数2400を用いて、コンプライアンス違反発生ポテンシャルを示す指標である企業統治指標を算出する。ここで、より望ましくは、企業統治情報算出部1400は、企業財務分析情報2300、企業統治評価係数2400に加え、企業財務分析マスタ情報2500を用いて、企業統治情報2600を算出する。このように、企業統治情報算出部1400は、企業財務分析情報2300およびコンプライアンス情報2200に基づいて、企業統治情報2600を算出している。そして、企業統治情報算出部1400は、企業統治情報2600を、データ記憶部2000に格納する。 Further, the corporate governance information calculation unit 1400 uses the corporate financial analysis information 2300 and the corporate governance evaluation coefficient 2400 stored in the data storage unit 2000 to calculate a corporate governance index that is an index indicating the potential for compliance violation to occur. More preferably, the corporate governance information calculation unit 1400 calculates the corporate governance information 2600 using the corporate financial analysis master information 2500 in addition to the corporate financial analysis information 2300 and the corporate governance evaluation coefficient 2400. In this way, the corporate governance information calculation unit 1400 calculates the corporate governance information 2600 based on the corporate financial analysis information 2300 and the compliance information 2200. The corporate governance information calculation unit 1400 then stores the corporate governance information 2600 in the data storage unit 2000.

 また、サプライチェーン情報取得部1500は、データ記憶部2000に格納されている取扱製品・サービス情報2700およびBOM2800に基づき、企業の取引製品・サービスごとのサプライチェーン情報2900を取得する。そして、サプライチェーン情報取得部1500は、サプライチェーン情報2900を、データ記憶部2000に格納する。 Furthermore, the supply chain information acquisition unit 1500 acquires supply chain information 2900 for each company's traded products and services based on the product and service information 2700 and BOM 2800 stored in the data storage unit 2000. Supply chain information acquisition section 1500 then stores supply chain information 2900 in data storage section 2000.

 また、サプライチェーンリスク算出部1600は、企業統治情報2600およびサプライチェーン情報2900に基づき、企業のサプライチェーン全体のリスクを示すサプライチェーンリスク情報3000を算出する。そして、サプライチェーンリスク算出部1600は、サプライチェーンリスク情報3000を、データ記憶部2000に格納する。 Furthermore, the supply chain risk calculation unit 1600 calculates supply chain risk information 3000 indicating the risk of the entire supply chain of the company based on the corporate governance information 2600 and the supply chain information 2900. Supply chain risk calculation section 1600 then stores supply chain risk information 3000 in data storage section 2000.

 なお、サプライチェーン情報取得部1500およびサプライチェーンリスク算出部1600は、実施例2で用いられるため、本実施例では省略可能である。また、同様に、取扱製品・サービス情報2700、BOM2800、サプライチェーン情報2900やサプライチェーンリスク情報3000も省略できる。以上で、図1の説明を終わり、以下、上述した各機能を実現するための企業統治情報提供装置1000の構成を説明する。 Note that the supply chain information acquisition unit 1500 and the supply chain risk calculation unit 1600 are used in the second embodiment, so they can be omitted in this embodiment. Similarly, the product/service information 2700, BOM 2800, supply chain information 2900, and supply chain risk information 3000 can also be omitted. This concludes the description of FIG. 1, and the configuration of the corporate governance information providing apparatus 1000 for realizing each of the above-mentioned functions will be described below.

 図2は、実施例1における企業統治情報提供装置1000のハードウェア構成例を示すブロック図である。図2において、企業統治情報提供装置1000は、CPU11、RAM12、ROM13、補助記憶装置14、表示装置15、入力装置16、メディア読取装置17、情報受発信装置18を有する。以下、これら各構成について説明する。 FIG. 2 is a block diagram showing an example of the hardware configuration of the corporate governance information providing apparatus 1000 in the first embodiment. In FIG. 2, the corporate governance information providing device 1000 includes a CPU 11, a RAM 12, a ROM 13, an auxiliary storage device 14, a display device 15, an input device 16, a media reading device 17, and an information receiving and transmitting device 18. Each of these configurations will be explained below.

 まず、CPU11(Central Processing Unit)は、いわゆるプロセッサで実現でき、各種演算を実行するユニットである。CPU11は、補助記憶装置14からRAM12にロードした所定の企業統治情報提供プログラムを実行することにより、各種処理を実行する。なお、これら各種処理は、図1の情報収集管理部1100~サプライチェーンリスク算出部1600の処理に該当し、その詳細については、フローチャートを用いて後述する。 First, the CPU 11 (Central Processing Unit) is a unit that can be implemented as a so-called processor and executes various calculations. The CPU 11 executes various processes by executing a predetermined corporate governance information provision program loaded from the auxiliary storage device 14 into the RAM 12. Note that these various processes correspond to the processes of the information collection management unit 1100 to supply chain risk calculation unit 1600 in FIG. 1, and details thereof will be described later using a flowchart.

 ここで、企業統治情報提供プログラムは、例えば、OS(Operating System)プログラム上で実行可能なアプリケーションプログラムである。なお、企業統治情報提供プログラムは、機能ごとの複数のプログラムで実現してもよいし、機能ごとの複数のモジュールで構成されてもよい。また、企業統治情報提供プログラムは、例えば、メディア読取装置17を介して可搬型記憶媒体から、補助記憶装置14にインストールされてもよい。つまり、企業統治情報提供プログラムは、記憶媒体に格納されることができる。なお、CPU11は、企業統治情報提供プログラム以外のプログラムに従った処理を実行してもよい。この場合、補助記憶装置14にこのプログラムを格納することが望ましい。 Here, the corporate governance information providing program is, for example, an application program executable on an OS (Operating System) program. Note that the corporate governance information providing program may be realized by a plurality of programs for each function, or may be composed of a plurality of modules for each function. Further, the corporate governance information providing program may be installed in the auxiliary storage device 14 from a portable storage medium via the media reading device 17, for example. That is, the corporate governance information providing program can be stored in a storage medium. Note that the CPU 11 may execute processing according to a program other than the corporate governance information providing program. In this case, it is desirable to store this program in the auxiliary storage device 14.

 また、RAM12は(Random Access Memory)、企業統治情報提供プログラム等のCPU11により実行されるプログラムや、プログラムの実行に必要なデータなどを格納するメモリである。また、ROM13(Read Only Memory)は、企業統治情報提供装置1000の起動に必要なプログラムなどを格納するメモリである。 Further, the RAM 12 (Random Access Memory) is a memory that stores programs executed by the CPU 11, such as a corporate governance information provision program, and data necessary for executing the programs. Further, the ROM 13 (Read Only Memory) is a memory that stores programs and the like necessary for starting the corporate governance information providing apparatus 1000.

 また、補助記憶装置14は、例えば、HDD(Hard Disk Drive)などで実現でき、各種処理実行するためのデータやプログラムを格納する装置である。補助記憶装置14は、フラッシュメモリなどを用いたSSD(Solid State Drive)で実現してもよい。なお、RAM12、ROM13および補助記憶装置14が、図1のデータ記憶部2000に相当する。 Further, the auxiliary storage device 14 can be realized by, for example, an HDD (Hard Disk Drive), and is a device that stores data and programs for executing various processes. The auxiliary storage device 14 may be realized by an SSD (Solid State Drive) using a flash memory or the like. Note that the RAM 12, ROM 13, and auxiliary storage device 14 correspond to the data storage section 2000 in FIG.

 表示装置15は、CPU11での処理結果等を出力するものである。表示装置15は、例えば、CRTディスプレイ、LCD(Liquid Crystal Display)、有機EL(Electro-Luminescence)ディスプレイなどで実現できる。 The display device 15 outputs the processing results of the CPU 11 and the like. The display device 15 can be realized by, for example, a CRT display, an LCD (Liquid Crystal Display), an organic EL (Electro-Luminence) display, or the like.

 また、企業統治情報提供装置1000のユーザからの操作を受け付ける装置である。入力装置16は、例えば、キーボード、マウス、マイクなどの装置である。 It is also a device that accepts operations from the user of the corporate governance information providing device 1000. The input device 16 is, for example, a keyboard, a mouse, a microphone, or the like.

 メディア読取装置17は、CD-ROM等の可搬性を有する可搬型記憶媒体の情報を読み出す装置で実現できる。 The media reading device 17 can be realized by a device that reads information from a portable storage medium such as a CD-ROM.

 また、情報受発信装置18は、外部装置との間でデータの送受信を行う装置である。このために、情報受発信装置18は、ネットワーク20と接続し、例えば、有線LAN、無線LAN、ダイヤルアップルータ、赤外線通信装置などの装置で実現できる。なお、ネットワーク20は、外部装置と接続され、インターネットやイントラネットと接続する。また、表示装置15、入力装置16や情報受発信装置18が、図1の入出力インタフェース部1700に該当する。また、表示装置15および入力装置16は、タッチパネルように一体で構成してもよい。 Further, the information receiving and transmitting device 18 is a device that transmits and receives data to and from an external device. For this purpose, the information receiving and transmitting device 18 is connected to the network 20 and can be realized by a device such as a wired LAN, wireless LAN, dial-up router, or infrared communication device. Note that the network 20 is connected to external devices and to the Internet or an intranet. Further, the display device 15, the input device 16, and the information receiving/transmitting device 18 correspond to the input/output interface section 1700 in FIG. Further, the display device 15 and the input device 16 may be configured as a single unit like a touch panel.

 以上のように、企業統治情報提供装置1000は、コンピュータで実現できる。また、実施例1では、企業統治情報提供装置1000は、表示装置15、入力装置16やメディア読取装置17を有するが、これらは企業統治情報提供装置1000と接続するタブレット等の端末装置に設けてもよい。この場合、企業統治情報提供装置1000は後述の実施例2に示すサーバで実現できる。さらに、企業統治情報提供装置1000を実現しない場合でも、表示装置15、入力装置16およびメディア読取装置17の少なくとも1つを別装置に設けることも可能である。
以上で、実施例1の構成の説明を終わり、以下、その処理フロー(処理の流れ)を説明する。なお、以下では、その処理主体を図1の構成を用いて説明する。
As described above, the corporate governance information providing apparatus 1000 can be realized by a computer. Further, in the first embodiment, the corporate governance information providing device 1000 has a display device 15, an input device 16, and a media reading device 17, but these are installed in a terminal device such as a tablet connected to the corporate governance information providing device 1000. Good too. In this case, the corporate governance information providing apparatus 1000 can be realized by a server shown in Example 2, which will be described later. Furthermore, even if the corporate governance information providing device 1000 is not implemented, at least one of the display device 15, the input device 16, and the media reading device 17 can be provided in a separate device.
This concludes the explanation of the configuration of the first embodiment, and the processing flow thereof will be explained below. Note that the processing main body will be explained below using the configuration shown in FIG.

 図3は、実施例1における企業統治情報提供装置1000の全体の処理の流れを示すフローチャートである。 FIG. 3 is a flowchart showing the overall processing flow of the corporate governance information providing apparatus 1000 in the first embodiment.

 まず、企業統治情報提供装置1000は、各企業の企業統治性を評価出する。(ステップS10)。そして、企業統治情報提供装置1000は、ステップS10で評価された企業統治性に基づき、サプライチェーンリスクの評価を行う(ステップS20)。なお、ステップS10の企業統治情報評価処理の詳細は後述の図4、ステップS20の評価の詳細は後述の図11を用いて説明する。また、ステップS10およびステップS20での評価とは、企業統治性やサプライチェーンリスクを示す指標を算出することを示す。 First, the corporate governance information providing device 1000 evaluates the corporate governance of each company. (Step S10). Then, the corporate governance information providing apparatus 1000 evaluates supply chain risk based on the corporate governance evaluated in step S10 (step S20). The details of the corporate governance information evaluation process in step S10 will be explained later with reference to FIG. 4, and the details of the evaluation in step S20 will be explained with reference to FIG. 11, which will be explained later. Moreover, the evaluation in step S10 and step S20 indicates calculating an index indicating corporate governance and supply chain risk.

 また、図4は、実施例1における企業統治情報評価処理(ステップS10)の流れを示すフローチャートである。以下、図4の各処理について、以下詳細を述べる。 Further, FIG. 4 is a flowchart showing the flow of the corporate governance information evaluation process (step S10) in the first embodiment. Each process in FIG. 4 will be described in detail below.

 まず、情報収集管理部1100が入出力インタフェース部1700を介して、各企業の企業財務データ、コンプライアンス違反情報等を取得する(ステップS100)。ここで、情報収集管理部1100は、取得したデータを、データ記憶部2000に企業財務データ2100およびコンプライアンス情報2200の各テーブルに格納する。ここで、この処理で取得するデータとその処理の詳細を説明する。 First, the information collection management unit 1100 acquires corporate financial data, compliance violation information, etc. of each company via the input/output interface unit 1700 (step S100). Here, the information collection management unit 1100 stores the acquired data in each table of corporate financial data 2100 and compliance information 2200 in the data storage unit 2000. Here, the data acquired in this process and the details of the process will be explained.

 図5は、実施例1で用いられる企業財務データ2100の一例を示す図である。図5に示すように企業財務データ2100は、企業名2101、年度2102、売上高2103、営業利益2104、研究開発費2105、有形固定資産_設備2106、有形固定資産_工具2107、設備投資費2108、減価滅却累計額_設備2109、資本的支出2110の各フィールドを持つ。各企業の財務データは公開情報から、Webクローリングやスクレイピングにより自動取得することが可能である。なお、非上場企業など財務データを公開していない企業の財務データは、個別ヒアリングなどにより情報を入手し、手入力で情報を入力するなどの方法でデータ取得を行っても良い。また、評価機関などが提供している当該情報を購入し、入出力インタフェース部1700を介してデータ登録しても良い。 FIG. 5 is a diagram showing an example of corporate financial data 2100 used in the first embodiment. As shown in FIG. 5, the corporate financial data 2100 includes a company name 2101, fiscal year 2102, sales 2103, operating income 2104, research and development expenses 2105, tangible fixed assets_equipment 2106, tangible fixed assets_tools 2107, and capital investment costs 2108. , cumulative depreciation_equipment 2109, and capital expenditure 2110 fields. Financial data of each company can be automatically obtained from public information by web crawling or scraping. Note that financial data of companies that do not disclose their financial data, such as unlisted companies, may be obtained through individual interviews, etc., and by manually inputting the information. Alternatively, the information provided by an evaluation organization or the like may be purchased and the data may be registered via the input/output interface section 1700.

 また、図6は、実施例1で用いられるコンプライアンス情報2200の一例を示す図である。コンプライアンス情報2200は、企業名2201、違反事項発生年度2202、違反カテゴリ2203、コンプライアンス違反事項2204の各フィールドを持つ。これらは、違反事項が発生した企業、その年度、違反のカテゴリ、コンプライアンス違反の内容に関するデータである。コンプライアンス情報2200は、例えば、厚生労働省の労働基準関係法令違反に係る公表事例、経済産業省のリコール情報、有価証券報告書の記載事項などの公開情報から、Webクローリング・スクレイピングにより自動取得することができる。なお、個別に入手した非公開情報を、入出力インタフェース部1700を介して、手入力やデータアップロードにより登録しても良い。 Further, FIG. 6 is a diagram showing an example of compliance information 2200 used in the first embodiment. Compliance information 2200 has fields of company name 2201, year of violation 2202, violation category 2203, and compliance violation 2204. These are data on the company where the violation occurred, the year, the category of violation, and the details of the compliance violation. Compliance information 2200 can be automatically obtained by web crawling and scraping from public information such as published cases of violations of labor standards-related laws and regulations by the Ministry of Health, Labor and Welfare, recall information by the Ministry of Economy, Trade and Industry, and items listed in securities reports. can. Note that private information obtained individually may be registered via the input/output interface section 1700 by manual input or data upload.

 また、コンプライアンス違反カテゴリは、例えば、ISO26000(社会的責任)の7つの中核主題にて定義できる。また、過去の違反事項がどのカテゴリに属すかは、入手したコンプライアンス違反情報を自然言語処理などで解析し、分類することができる。これらの結果、コンプライアンス違反事項2204と違反カテゴリ2203の対応付け情報を含む、コンプライアンス情報2200を生成することができる。 Furthermore, the compliance violation category can be defined, for example, using the seven core subjects of ISO26000 (social responsibility). In addition, the category to which a past violation belongs can be determined by analyzing the obtained compliance violation information using natural language processing or the like. As a result, compliance information 2200 including correspondence information between compliance violation matter 2204 and violation category 2203 can be generated.

 ここで、図4のフローチャートに戻り、処理の流れを説明する。企業財務分析情報算出部1200が、コンプライアンス情報2200に保存されたデータに基づき、違反事項発生年度2202を起点として、違反事例発生以前の登録された全企業の企業財務データ2100を抽出する(ステップS200)。そして、ステップS300~ステップS310の処理を、コンプライアンス違反事案ごと、コンプライアンス違反のないカテゴリごとといった所定単位ごとに繰り返す。 Here, returning to the flowchart in FIG. 4, the flow of processing will be explained. Based on the data stored in the compliance information 2200, the corporate financial analysis information calculation unit 1200 extracts the corporate financial data 2100 of all registered companies before the violation occurred, starting from the violation year 2202 (step S200 ). Then, the processing from step S300 to step S310 is repeated for each predetermined unit, such as each compliance violation case and each category in which there is no compliance violation.

 次に、企業財務分析情報算出部1200が、ステップS200で抽出した企業財務データが、違反発生年度を起点に過去M年間のデータがあるか否かを判断する(ステップS300)。この結果、違反発生年度を起点に過去M年間のデータが少なくとも1年以上あるときは、ステップS310に遷移する。企業財務データ2100がないときは、次の処理単位についてステップS300~ステップS310を実行する。また、次の処理単位がない場合、ステップS400に遷移する。 Next, the corporate financial analysis information calculation unit 1200 determines whether the corporate financial data extracted in step S200 includes data for the past M years starting from the year in which the violation occurred (step S300). As a result, if there is at least one year of data for the past M years starting from the year in which the violation occurred, the process moves to step S310. If there is no corporate financial data 2100, steps S300 to S310 are executed for the next processing unit. Furthermore, if there is no next processing unit, the process moves to step S400.

 そして、企業財務分析情報算出部1200が、取得した企業財務データに基づき、企業財務分析情報2300を算出する(ステップS310)。また、企業財務データ2100がないときは、企業財務分析情報の算出は行わないが、企業財務分析情報算出部1200は、予め定められた期間をM年として設定する。例えば、税制上の企業の財務データ保管義務は7年と定められているため、7年前からの情報を見ておく必要がある、よって例えば、M=7年と設定する。 Then, the corporate financial analysis information calculation unit 1200 calculates corporate financial analysis information 2300 based on the acquired corporate financial data (step S310). Further, when there is no corporate financial data 2100, corporate financial analysis information is not calculated, but corporate financial analysis information calculation section 1200 sets a predetermined period as M years. For example, the tax system stipulates that companies are required to store financial data for 7 years, so it is necessary to look at information from 7 years ago.Therefore, for example, M=7 years is set.

 ここで、ステップS310の処理の詳細と本処理におけるデータについて説明する。図7は、実施例1で用いられる企業財務分析情報2300の一例を示す図である。企業財務分析情報2300は、分析期間2301、企業名2302、営業利益率2303、売上高研究開発費比率2304、設備投資度2305、設備更新度2306、設備保守度2307の各フィールドを持つ。このように、企業財務分析情報2300は、企業財務データ2100に基づき、コンプライアンス違反のポテンシャルを推定可能な指標として算出される。この指標は、正規化されたデータと処理することも可能である。図7に示す例は、企業財務データ2100およびコンプライアンス情報2200に基づき、M=3として算出された企業財務分析情報2300である。ここで、図6のコンプライアンス情報2200によれば、「K社」は「2008年度」に「データ改ざん」のコンプライアンス違反を行った実績があることがわかる。そこで、企業財務分析情報算出部1200は、「K社」の過去3年分の企業財務データを取得する。このために、企業財務分析情報算出部1200は、図5の企業財務データ2100により、「K社」の「2006,2007,2008年度」の企業財務データを抽出する。企業財務分析情報算出部1200は、この抽出データを基に、企業財務分析情報2300の各フィールドを以下のように算出する。 Here, details of the process in step S310 and data in this process will be explained. FIG. 7 is a diagram showing an example of corporate financial analysis information 2300 used in the first embodiment. The corporate financial analysis information 2300 has fields of analysis period 2301, company name 2302, operating profit rate 2303, sales R&D expense ratio 2304, equipment investment level 2305, equipment renewal level 2306, and equipment maintenance level 2307. In this way, the corporate financial analysis information 2300 is calculated based on the corporate financial data 2100 as an index that can estimate the potential for compliance violation. This indicator can also be processed with normalized data. The example shown in FIG. 7 is corporate financial analysis information 2300 calculated based on corporate financial data 2100 and compliance information 2200, with M=3. Here, according to the compliance information 2200 in FIG. 6, it can be seen that "Company K" has a track record of a compliance violation of "data falsification" in "2008". Therefore, the corporate financial analysis information calculation unit 1200 acquires corporate financial data of "Company K" for the past three years. For this purpose, the corporate financial analysis information calculation unit 1200 extracts the corporate financial data of "Company K" for "2006, 2007, and 2008" based on the corporate financial data 2100 of FIG. Based on this extracted data, the corporate financial analysis information calculation unit 1200 calculates each field of the corporate financial analysis information 2300 as follows.

 企業財務分析情報算出部1200は、営業利益率2303を営業利益/売上高のM年平均と定義し、「{(-20,000+284+60,138)/(863,381+996,101+1,059,120)}=1.18%」と算出する。 The corporate financial analysis information calculation unit 1200 defines the operating profit margin 2303 as the M-year average of operating profit/sales, and calculates it as "{(-20,000+284+60,138)/(863,381+996,101+1,059,120)}" = 1.18%.”

 また、企業財務分析情報算出部1200は、売上高研究開発費比率2304を研究開発費/売上高のM年平均と定義する。そして、「{(60,000+74,700+82,600)/(863,381+996,101+1,059,120)}=7.44%」と算出する。 Further, the corporate financial analysis information calculation unit 1200 defines the sales R&D expense ratio 2304 as the M-year average of R&D expenses/sales. Then, it is calculated as "{(60,000+74,700+82,600)/(863,381+996,101+1,059,120)}=7.44%".

 また、企業財務分析情報算出部1200は、設備投資度2305を設備投資費/売上高のM年平均と定義する。そして、「{(51,500+50,848+60,000)/(863,381+996,101+1,059,120)}=5.56%」と算出する。この値は設備の投資度合の指標や設備更新の指標と考えることができ、この値が小さいほど、新営の設備や設備更新が少ないことを示す。 Further, the corporate financial analysis information calculation unit 1200 defines the capital investment degree 2305 as the M-year average of capital investment expenses/sales. Then, it is calculated as "{(51,500+50,848+60,000)/(863,381+996,101+1,059,120)}=5.56%". This value can be considered as an indicator of the degree of investment in equipment or an indicator of equipment renewal, and the smaller this value is, the less new equipment or equipment renewal is needed.

 また、企業財務分析情報算出部1200は、設備更新度2306を設備投資費/(有形固定資産_設備+減価滅却累計額_設備)のM年平均と定義する。そして、「{(51,500+50,848+60,000)/(15,095+134,361+18,776+130,405+16,192+128,237))}=36.64%)」と算出する。この値は設備の老朽度や設備性能陳腐化の指標と考えることができ、この値が小さいほど、設備の老朽化や設備性能が低い設備が稼働していることを示す。 Further, the corporate financial analysis information calculation unit 1200 defines the equipment renewal rate 2306 as the M-year average of equipment investment cost/(tangible fixed assets_equipment+cumulative depreciation amount_equipment). Then, it is calculated as "{(51,500+50,848+60,000)/(15,095+134,361+18,776+130,405+16,192+128,237))}=36.64%)". This value can be considered as an index of the degree of deterioration of equipment and obsolete equipment performance, and the smaller this value is, the more obsolete equipment and equipment with low equipment performance are being operated.

 また、企業財務分析情報算出部1200は、設備保守度2307を(有形固定資産_工具+資本的支出)/(有形固定資産_設備+減価滅却累計額_設備)のM年平均と定義する。そして、「{(7,641+200+9,969+800+11,104+1,000)/(15,095+134,361+18,776+130,405+16,192+128,237)}=6.93%」と算出する。この値は設備のメンテンナンス状況の指標と考えることができ、この値が小さいほど、設備がメンテナンスされていないこと示す。つまり、設備が取引上のリスクとして、把握することができる。 Further, the corporate financial analysis information calculation unit 1200 defines the equipment maintenance level 2307 as the M-year average of (tangible fixed assets_tools+capital expenditure)/(tangible fixed assets_equipment+accumulated depreciation_equipment). Then, it is calculated as "{(7,641+200+9,969+800+11,104+1,000)/(15,095+134,361+18,776+130,405+16,192+128,237)}=6.93%". This value can be considered as an index of the maintenance status of the equipment, and the smaller this value is, the less maintained the equipment is. In other words, equipment can be understood as a transaction risk.

 ここで、企業財務分析情報2300は平均値として算出することに限らない。例えば、実施例1において「M年平均」としたところを、「特定の年度(例えばコンプライアンス違反発生年)とその前年度のデータの差分」としてもよい。また、企業財務分析情報2300は本実施例に記載のフィールドに限らない。例えば、運輸・物流企業であれば、有形固定資産_車両、減価滅却累計額_車両のデータを用いて、設備更新度を算出してもよい。さらに、企業財務分析情報2300として、平均値以外の中央値等の他の代表値を用いてもよい。 Here, the corporate financial analysis information 2300 is not limited to being calculated as an average value. For example, the "M-year average" in the first embodiment may be replaced with "the difference between the data of a specific year (for example, the year of compliance violation occurrence) and the previous year." Further, the corporate financial analysis information 2300 is not limited to the fields described in this embodiment. For example, in the case of a transportation/logistics company, the degree of equipment renewal may be calculated using data on tangible fixed assets_vehicles and cumulative depreciation_vehicles. Further, as the corporate financial analysis information 2300, other representative values such as a median value other than the average value may be used.

 図4のフローチャートに戻り、処理の流れの説明を行う、次に、企業統治評価係数算出部1300は、コンプライアンス違反事項に関連する企業財務分析情報2300に基づき、企業統治評価係数2400を算出する(ステップS400)。 Returning to the flowchart of FIG. 4, the flow of processing will be explained.Next, the corporate governance evaluation coefficient calculation unit 1300 calculates the corporate governance evaluation coefficient 2400 based on the corporate financial analysis information 2300 related to the compliance violation matter ( Step S400).

 ここで、ステップS400の処理の詳細と本処理におけるデータについて説明する。図8は、実施例1で用いられる企業統治評価係数2400の一例を示す図である。企業統治評価係数2400は、違反カテゴリ2401、評価係数:営業利益率2402、評価係数:売上高研究開発費比率2403、評価係数:設備投資度2404、評価係数:設備更新度2405、評価係数:設備保守度2406の各フィールドを持つ。そして、企業財務分析情報2300は、これら各フィールドを評価する評価係数値を持つ。以下、企業統治評価係数2400の各評価係数値の算出方法の一例を以下で説明する。 Here, details of the process of step S400 and data in this process will be explained. FIG. 8 is a diagram showing an example of the corporate governance evaluation coefficient 2400 used in the first embodiment. Corporate governance evaluation coefficient 2400 includes violation category 2401, evaluation coefficient: operating profit ratio 2402, evaluation coefficient: sales R&D expense ratio 2403, evaluation coefficient: capital investment degree 2404, evaluation coefficient: equipment renewal degree 2405, evaluation coefficient: equipment It has each field of maintenance level 2406. The corporate financial analysis information 2300 has evaluation coefficient values for evaluating each of these fields. An example of a method for calculating each evaluation coefficient value of the corporate governance evaluation coefficient 2400 will be described below.

 例えば、企業統治評価係数算出部1300は、コンプライアンス情報2200に保存されたコンプライアンス違反事項をk(1,2・・・)とし、違反カテゴリをステップS110で抽出されたカテゴリ順にナンバリングし、j(1,2,・・・)とする。そして、企業統治評価係数算出部1300は、コンプライアンス違反した企業と違反事項発生年度に対応する企業財務分析情報2300およびコンプライアンス違反発生年度にコンプライアンス違反をしていない全企業の企業財務分析情報2300を抽出する。そして、企業統治評価係数算出部1300は、以下の(数1)に従って、コンプライアンス違反ポテンシャルQj,kを定式化する。なお、(数1)では、営業利益率をA,売上高研究開発費比率をB,設備投資度をC,設備更新度をD,設備保守度をEと定義する。また、評価係数:営業利益率をa,評価係数:売上高研究開発費比率をb,評価係数:設備投資度をc,評価係数:設備更新度をd,評価係数:設備保守度をeと定義する。
j,k=a+b+c+d+e・・・(数1)
 ここで、企業統治評価係数算出部1300は、コンプライアンス違反事項発生の場合Qj,k=0、違反なしの場合Qj,k=1とし、A,B,C,D,Eをコンプライアンス違反ポテンシャルの説明変数と捉え、回帰式を算出する。例えばカテゴリ1で、コンプライアンス違反事項kが1からrにて違反あり(Qj,k=0)、r+1からsにて違反なし(Qj,k=1)の場合、以下の連立式になる。
+b+c+d+e=0
・・・
+b+c+d+e=0
r+1+br+1+cr+1+dr+1+er+1=1
・・・
+b+c+d+e=1
 企業統治評価係数算出部1300は、この連立式を用いて、A,B,C,D,Eに企業財務分析情報2300に格納されている対象データを代入する重回帰分析によりa,b,c,d,eを算出できる。
For example, the corporate governance evaluation coefficient calculation unit 1300 sets the compliance violations stored in the compliance information 2200 as k(1, 2...), numbers the violation categories in the order of the categories extracted in step S110, and sets the compliance violations stored in the compliance information 2200 as k(1, 2...). ,2,...). Then, the corporate governance evaluation coefficient calculation unit 1300 extracts corporate financial analysis information 2300 corresponding to the company that violated compliance and the year in which the violation occurred, and corporate financial analysis information 2300 for all companies that did not violate compliance in the year in which the compliance violation occurred. do. Then, the corporate governance evaluation coefficient calculation unit 1300 formulates the compliance violation potential Q j,k according to the following (Equation 1). Note that in (Equation 1), the operating profit rate is defined as A k , the R&D cost ratio to sales as B k , the degree of capital investment as C k , the degree of equipment renewal as D k , and the degree of equipment maintenance as E k . In addition, evaluation coefficient: operating profit rate is a j , evaluation coefficient: sales R&D expense ratio is b j , evaluation coefficient: degree of capital investment is c j , evaluation coefficient: degree of equipment renewal is d j , evaluation coefficient: equipment maintenance The degree is defined as e j .
Q j, k =a j A k +b j B k +c j C k +d j D k +e j E k ... (Math. 1)
Here, the corporate governance evaluation coefficient calculation unit 1300 sets Q j,k = 0 when a compliance violation has occurred and Q j,k = 1 when there is no violation, and calculates A k , B k , C k , D k , E A regression equation is calculated by considering k as an explanatory variable of the compliance violation potential. For example, in category 1, if compliance violation item k is violated from 1 to r (Q j, k = 0), and there is no violation from r+1 to s (Q j, k = 1), the following simultaneous equation will be obtained. .
a 1 A 1 +b 1 B 1 +c 1 C 1 +d 1 D 1 +e 1 E 1 =0
...
a 1 A r +b 1 B r +c 1 C r +d 1 D r +e 1 E r =0
a 1 A r+1 +b 1 B r+1 +c 1 C r+1 +d 1 D r+1 +e 1 E r+1 =1
...
a 1 A s +b 1 B s +c 1 C s +d 1 D s +e 1 E s =1
Using this simultaneous equation, the corporate governance evaluation coefficient calculation unit 1300 performs multiple regression analysis by substituting target data stored in the corporate financial analysis information 2300 for A k , B k , C k , D k , and E k . a 1 , b 1 , c 1 , d 1 , and e 1 can be calculated.

 以下同様に違反カテゴリjごとに、企業統治評価係数算出部1300は、違反カテゴリごとの評価係数を算出する。
+b+c+d+e+・・・=Qj,1
+b+c+d+e+・・・=Qj,2
・・・
+b+c+d+e+・・・=Qj,k
 このような重回帰分析により、a,b,c,d,eを算出し、違反カテゴリごとの評価係数が算出される。
Similarly, for each violation category j, the corporate governance evaluation coefficient calculation unit 1300 calculates an evaluation coefficient for each violation category.
a j A 1 +b j B 1 +c j C 1 +d j D 1 +e j E 1 +...=Q j, 1
a j A 2 +b j B 2 +c j C 2 +d j D 2 +e j E 2 +...=Q j, 2
...
a j A k +b j B k +c j C k +d j D k +e j E k +...=Q j, k
Through such multiple regression analysis, a j , b j , c j , d j , e j are calculated, and an evaluation coefficient for each violation category is calculated.

 ここで、図8に示す例では、違反カテゴリ「公正な事業慣行」における各評価係数は、以下のとおりである。営業利益率に対する評価係数は「1.0」である。売上高研究開発費比率に対する評価係数は「0.6」である。設備投資度に対する評価係数は「0.8」である。設備更新度に対する評価係数は「0.2」である。設備保守度に対する評価係数は「0.4」である。 Here, in the example shown in FIG. 8, each evaluation coefficient in the violation category "fair business practices" is as follows. The evaluation coefficient for operating profit margin is "1.0". The evaluation coefficient for the sales R&D expense ratio is 0.6. The evaluation coefficient for the degree of capital investment is "0.8". The evaluation coefficient for the equipment renewal degree is "0.2". The evaluation coefficient for equipment maintenance is "0.4".

 本実施例では、企業財務分析情報2300に評価係数を乗じた線形式にて、コンプライアンス違反ポテンシャルを意味する企業統治指標2603を算出すると定義し、ここではその評価係数の算出する事例を述べた。しかし、本発明は、本方式に限定されるものではなく、例えば、企業財務分析情報2300を入力、企業統治指標2603を出力とした入出力モデルを、機械学習などの手法で作成するとしても良い。 In this embodiment, it is defined that the corporate governance index 2603, which means compliance violation potential, is calculated using a linear formula obtained by multiplying the corporate financial analysis information 2300 by an evaluation coefficient, and an example of calculating the evaluation coefficient has been described here. However, the present invention is not limited to this method; for example, an input/output model with corporate financial analysis information 2300 as input and corporate governance index 2603 as output may be created using a method such as machine learning. .

 図4のフローチャートに戻り、処理の流れを説明する。次に、企業財務分析情報算出部1200は、登録されている全企業の企業財務データ2100を抽出する(ステップS500)。次に、企業財務分析情報算出部1200は、ステップS500で取得した企業財務データ2100が、現在を起点に過去N年間のデータが少なくとも1年存在するか否かを判断する(ステップS600)。この結果、現在を起点に過去N年間データが少なくとも1年分存在するときは、ステップS610に遷移する。ないときは、ステップS620に遷移する。なお、ステップS600~ステップS620を対象企業ごとに実行される。 Returning to the flowchart in FIG. 4, the flow of processing will be explained. Next, the corporate financial analysis information calculation unit 1200 extracts corporate financial data 2100 of all registered companies (step S500). Next, the corporate financial analysis information calculation unit 1200 determines whether the corporate financial data 2100 acquired in step S500 includes at least one year of data for the past N years starting from the present (step S600). As a result, if there is at least one year's worth of data for the past N years starting from the present, the process moves to step S610. If not, the process moves to step S620. Note that steps S600 to S620 are executed for each target company.

 そして、企業財務分析情報算出部1200は、取得した企業財務データ2100に基づき、企業財務分析情報2300を算出する(ステップS610)。このために、例えば、まず、企業財務分析情報算出部1200は、ステップS310と同じ考え方に従い、M=Nと設定する。 Then, the corporate financial analysis information calculation unit 1200 calculates corporate financial analysis information 2300 based on the acquired corporate financial data 2100 (step S610). To this end, for example, the corporate financial analysis information calculation unit 1200 first sets M=N according to the same idea as in step S310.

 また、企業財務分析情報算出部1200は、予め用意しておいた企業財務分析マスタ情報2500を読み出す(ステップS620)。例えば、設立後1年未満の企業で財務データが無い場合、設立後N年間における他企業の財務データ基づき算出した企業財務分析情報の平均値を企業財務分析マスタ情報2500に格納しておく。そして、その値を当該企業の企業財務分析情報として活用する。 Further, the corporate financial analysis information calculation unit 1200 reads out the corporate financial analysis master information 2500 prepared in advance (step S620). For example, if a company has been established for less than one year and has no financial data, the average value of corporate financial analysis information calculated based on the financial data of other companies for N years after establishment is stored in the corporate financial analysis master information 2500. The value is then used as corporate financial analysis information for the company.

 ここで、ステップS620の処理の詳細と本処理におけるデータについて説明する。図9は、実施例1で用いられる企業財務分析マスタ情報2500の一例を示す図である。企業財務分析マスタ情報2500は、営業利益率2501、売上研究開発比率2502、設備投資度2503、設備更新度2504、設備保守度2505の各フィールドを持つ。この企業財務分析マスタ情報2500は、企業財務データ2100のない設立1年未満の企業に対するマスタデータを示している。例えば、営業利益率2501は、設立後N年間における企業の財務データに基づき算出した営業利益率2303の各企業の平均値を用いることができる。 Here, details of the process of step S620 and data in this process will be explained. FIG. 9 is a diagram showing an example of corporate financial analysis master information 2500 used in the first embodiment. The corporate financial analysis master information 2500 has fields of an operating profit rate 2501, a sales research and development ratio 2502, a facility investment level 2503, an equipment renewal level 2504, and an equipment maintenance level 2505. This corporate financial analysis master information 2500 indicates master data for a company that has been established for less than one year and does not have corporate financial data 2100. For example, the operating profit rate 2501 can use the average value of each company's operating profit rate 2303 calculated based on the company's financial data for N years after establishment.

 同様に、売上研究開発比率2502、設備投資度2503、設備更新度2504、設備保守度2505は、設立後N年間における企業の財務データ基づき算出した以下の項目における各企業の平均値を用いることで算出できる。つまり、売上高研究開発費比率2304、設備投資度2305、設備更新度2306、設備保守度2307の各企業の平均値を用いることで算出できる。 Similarly, the sales R&D ratio 2502, capital investment level 2503, equipment renewal level 2504, and equipment maintenance level 2505 are determined by using the average value of each company in the following items calculated based on the company's financial data for N years after establishment. It can be calculated. In other words, it can be calculated by using the average values of each company's R&D expense ratio to sales 2304, equipment investment ratio 2305, equipment renewal ratio 2306, and equipment maintenance ratio 2307.

 ここで、ステップS610の処理の詳細と本処理におけるデータについて説明する。本処理では、上述の図7に示す企業財務分析情報2300を用いる。図7は、図5の企業財務データ2100に基づき、N=3として算出した企業財務分析情報2300を示す。企業財務分析情報算出部1200は、現在を2022年としたとき、図4より現在を起点として過去3年分のデータ(2019、2020、2021)のデータより企業財務分析情報2300を算出している。各テーブルの算出方法は、ステップS310と同様の方法で算出できる。 Here, details of the process in step S610 and data in this process will be explained. This process uses the corporate financial analysis information 2300 shown in FIG. 7 described above. FIG. 7 shows corporate financial analysis information 2300 calculated based on the corporate financial data 2100 of FIG. 5 with N=3. The corporate financial analysis information calculation unit 1200 calculates the corporate financial analysis information 2300 from the data of the past three years (2019, 2020, 2021) starting from the present as shown in FIG. 4, assuming that the current year is 2022. . Each table can be calculated using the same method as in step S310.

 図4のフローチャートに戻り、処理の流れについて説明する。次に、企業財務分析情報算出部1200は、現在を起点に過去N年間の企業財務データ2100をもとに、企業財務分析情報2300を算出する(ステップS610)。 Returning to the flowchart in FIG. 4, the flow of processing will be explained. Next, the corporate financial analysis information calculation unit 1200 calculates corporate financial analysis information 2300 based on the corporate financial data 2100 for the past N years starting from the present (step S610).

 そして、企業統治情報算出部1400は、企業財務分析情報2300および企業統治評価係数2400を用いて、企業統治情報2600を算出する(ステップS700)。この際、企業財務分析情報2300としては、分析期間2301、企業名2302、営業利益率2303、売上高研究開発費比率2304、設備投資度2305、設備更新度2306、設備保守度2307が用いられる。また、企業統治評価係数2400として、評価係数:営業利益率2402、評価係数:売上高研究開発費比率2403、評価係数:設備投資度2404、評価係数:設備更新度2405、評価係数:設備保守度2406が用いられる。 Then, the corporate governance information calculation unit 1400 calculates corporate governance information 2600 using the corporate financial analysis information 2300 and the corporate governance evaluation coefficient 2400 (step S700). At this time, as the corporate financial analysis information 2300, an analysis period 2301, a company name 2302, an operating profit rate 2303, a ratio of R&D expenses to sales 2304, a facility investment level 2305, an equipment renewal level 2306, and an equipment maintenance level 2307 are used. In addition, as the corporate governance evaluation coefficient 2400, evaluation coefficient: operating profit ratio 2402, evaluation coefficient: sales R&D expense ratio 2403, evaluation coefficient: equipment investment level 2404, evaluation coefficient: equipment renewal level 2405, evaluation coefficient: equipment maintenance level. 2406 is used.

 ここで、ステップS700の処理の詳細と本処理におけるデータについて説明する。図10は、実施例1で用いられる企業統治情報2600の一例を示す図である。企業統治情報2600は、対象の企業のコンプライアンス違反発生ポテンシャルを示す。そして、例えば、企業統治情報2600は、企業名2601、カテゴリ2602、企業統治指標2603の各フィールドを持つ。ここで、企業統治情報2600の企業統治指標2603は、コンプライアンス違反発生ポテンシャルの指標であり、その算出においては、企業統治情報算出部1400が、以下の(1)~(4)のように処理する。
(1)企業名2601、ならびにカテゴリ2602に一致するデータを企業財務分析情報2300、企業統治評価係数2400より取得する。
(2)企業財務分析情報2300に保存されている営業利益率2303に対して、企業統治評価係数2400に保存されている評価係数:営業利益率2402を乗算する。
(3)同様に売上高研究開発費比率2304、設備投資度2305、設備更新度2306、設備保守度2307に対して、それぞれ以下の項目を乗算する。つまり、評価係数:売上高研究開発費比率2403、評価係数:設備投資度2404、評価係数:設備更新度2405、評価係数:設備保守度(2406)をそれぞれ乗算する。
(4)そして、(2)(3)の総和を取ることで企業統治指標2603を算出している。
つまり、企業の営業利益、研究開発費および設備に対するコストに基づき、企業統治指標2603が算出される。
Here, details of the process in step S700 and data in this process will be explained. FIG. 10 is a diagram showing an example of corporate governance information 2600 used in the first embodiment. Corporate governance information 2600 indicates the compliance violation potential of the target company. For example, the corporate governance information 2600 has fields of a company name 2601, a category 2602, and a corporate governance index 2603. Here, the corporate governance index 2603 of the corporate governance information 2600 is an index of compliance violation occurrence potential, and in calculating it, the corporate governance information calculation unit 1400 processes as follows (1) to (4). .
(1) Data matching the company name 2601 and category 2602 is acquired from the corporate financial analysis information 2300 and the corporate governance evaluation coefficient 2400.
(2) The operating profit ratio 2303 stored in the corporate financial analysis information 2300 is multiplied by the evaluation coefficient: operating profit ratio 2402 stored in the corporate governance evaluation coefficient 2400.
(3) Similarly, the R&D expense ratio to sales 2304, the equipment investment level 2305, the equipment renewal ratio 2306, and the equipment maintenance ratio 2307 are each multiplied by the following items. That is, the evaluation coefficient: R&D cost ratio to sales 2403, the evaluation coefficient: equipment investment degree 2404, the evaluation coefficient: equipment renewal degree 2405, and the evaluation coefficient: equipment maintenance degree (2406) are respectively multiplied.
(4) Then, the corporate governance index 2603 is calculated by taking the sum of (2) and (3).
That is, the corporate governance index 2603 is calculated based on the company's operating profit, research and development expenses, and equipment costs.

 図10に示す例では、企業統治情報算出部1400は、以下のとおり処理する。つまり、企業財務分析情報2300から企業「H社」に該当するデータおよび企業統治評価係数2400から違反カテゴリ「公正な企業慣行」に該当するデータを抽出する。そして、前者の各企業財務分析情報に対して、後者の該当する各企業評価統治係数を乗じ、その総和を取る。例えば、企業名「H社」のカテゴリ「公正な事業慣行」の企業統治指標は、「0.0573×1.0+0.0334×0.6+0.0453×0.8+3.6361×0.2+0.4090×0.4=1.00」と算出する。また、同様に企業名「H社」のカテゴリ「労働慣行」の企業統治指標は、「0.0573×2.0+0.0334×0.9+0.0453×0.1+3.6361×0.2+0.4090×0.3=0.997」と算出する。なお、企業統治指標は値が大きいほど、企業のコンプライアンス違反ポテンシャルが低い評価結果となる。 In the example shown in FIG. 10, the corporate governance information calculation unit 1400 processes as follows. That is, data corresponding to the company "Company H" is extracted from the corporate financial analysis information 2300 and data corresponding to the violation category "fair corporate practices" from the corporate governance evaluation coefficient 2400. Then, each of the former corporate financial analysis information is multiplied by each corresponding corporate evaluation governance coefficient of the latter, and the sum of the results is calculated. For example, the corporate governance index for the category "Fair Operating Practices" for the company name "Company H" is "0.0573 x 1.0 + 0.0334 x 0.6 + 0.0453 x 0.8 + 3.6361 x 0.2 + 0.4090. ×0.4=1.00”. Similarly, the corporate governance index for the category "Labor Practices" for the company name "Company H" is "0.0573 x 2.0 + 0.0334 x 0.9 + 0.0453 x 0.1 + 3.6361 x 0.2 + 0.4090 ×0.3=0.997”. It should be noted that the higher the value of the corporate governance index, the lower the compliance violation potential of the company.

 また、企業統治情報算出部1400は、企業財務データ2100が無い企業に対しては、企業財務分析情報2300を企業財務分析マスタ情報2500に置き換えて前述の処理を行う。つまり、前述の算出方法と同様に営業利益率2501、売上研究開発比率2502、設備投資度2503、設備更新度2504、設備保守度2505に対して、以下の項目をそれぞれ乗算する。つまり、評価係数:営業利益率2402、評価係数:売上高研究開発費比率2403、評価係数:設備投資度2404、評価係数:設備更新度2405、評価係数:設備保守度2406をそれぞれ乗算する。そして、これらの総和を取ることで企業統治情報2600を算出する。 Further, for a company that does not have corporate financial data 2100, the corporate governance information calculation unit 1400 performs the above-mentioned process by replacing the corporate financial analysis information 2300 with the corporate financial analysis master information 2500. That is, in the same way as the calculation method described above, the operating profit rate 2501, the sales research and development ratio 2502, the equipment investment level 2503, the equipment renewal ratio 2504, and the equipment maintenance ratio 2505 are each multiplied by the following items. That is, the evaluation coefficient: operating profit rate 2402, the evaluation coefficient: sales research and development expense ratio 2403, the evaluation coefficient: equipment investment degree 2404, the evaluation coefficient: equipment renewal degree 2405, and the evaluation coefficient: equipment maintenance degree 2406 are respectively multiplied. Then, corporate governance information 2600 is calculated by taking the sum of these.

 そして、企業統治情報算出部1400は、算出された企業統治情報2600を、データ記憶部2000に登録する。このステップS800の処理により、一旦本実施例の処理を終了する。なお、ステップS700とステップS800については、ステップS300~ステップS310と同様に、コンプライアンス違反事案ごと、コンプライアンス違反のないカテゴリごとといった所定単位ごとに繰り返される。以上で、実施例1の説明を終わるが、本実施例によれば、コンプライアンス違反状況に応じて、より適切に企業の評価を実現できる。 Then, the corporate governance information calculation unit 1400 registers the calculated corporate governance information 2600 in the data storage unit 2000. Through the process of step S800, the process of this embodiment is temporarily ended. Note that steps S700 and S800 are repeated for each predetermined unit, such as each compliance violation case or each category in which there is no compliance violation, similarly to steps S300 to S310. This concludes the explanation of the first embodiment. According to this embodiment, it is possible to more appropriately evaluate a company depending on the status of compliance violations.

 実施例2では、実施例1に加え、企業におけるサプライチェーンについての評価を行う。このため、その構成は、実施例1と共通である。以下、実施例1の相違を示す処理の流れやデータを説明する。このために、
 図11は、実施例2におけるサプライチェーンリスク評価の処理の流れを示すフローチャートである。図11の各処理について、以下詳細を述べる。
In Example 2, in addition to Example 1, a supply chain in a company is evaluated. Therefore, the configuration is the same as that of the first embodiment. The processing flow and data showing the differences from the first embodiment will be explained below. For this,
FIG. 11 is a flowchart showing the flow of supply chain risk evaluation processing in the second embodiment. Each process in FIG. 11 will be described in detail below.

 まず、サプライチェーン情報取得部1500が、入出力インタフェース部1700を介して、手入力・データアップロードまたは、EDIシステム等と連携し、企業の取扱製品・サービスに関するデータと取扱製品のBOMデータを取得する。そして、サプライチェーン情報取得部1500が、BOMデータをデータ記憶部2000に保存する(ステップS1000)。なお、EDIシステム等は、ネットワーク20を介して、企業統治情報提供装置1000と接続する。以下、ステップS1000で取得するデータの詳細を説明する。図12は、実施例2で用いられる取扱製品・サービス情報2700の一例を示す図である。取扱製品・サービス情報2700は、企業名2701、取扱製品・サービス2702の各フィールドを持ち、各企業が提供可能な製品とサービスを示している。 First, the supply chain information acquisition unit 1500 acquires data regarding the company's products and services and the BOM data of the products through manual input/data upload or in collaboration with an EDI system or the like via the input/output interface unit 1700. . Then, the supply chain information acquisition unit 1500 stores the BOM data in the data storage unit 2000 (step S1000). Note that the EDI system and the like are connected to the corporate governance information providing apparatus 1000 via the network 20. The details of the data acquired in step S1000 will be described below. FIG. 12 is a diagram showing an example of handled product/service information 2700 used in the second embodiment. The product/service information 2700 has fields of company name 2701 and product/service 2702, and indicates the products and services that each company can provide.

 また、図13は、実施例2で用いられるBOM(Bill,Of,Materials)2800の一例を示す図である。BOM2800は、親部品取扱企業2801、親部品2802、子部品取扱企業2803、子部品2804の各フィールドを持ち、企業の取扱製品に対して、その部品とその製造元を示す情報である。 Further, FIG. 13 is a diagram showing an example of a BOM (Bill, Of, Materials) 2800 used in the second embodiment. The BOM 2800 has fields of parent parts handling company 2801, parent parts 2802, child parts handling company 2803, and child parts 2804, and is information indicating the parts and their manufacturers for the products handled by the company.

 図11のフローチャートに戻り、処理の流れを説明する。次に、サプライチェーンリスク算出部1600は、企業名2701の示す企業とその取扱製品・サービスごとに、企業の取扱製品・サービスに対する子部品と子部品取扱い企業を抽出する(ステップS1100)。例えば、抽出された取扱製品・サービス情報2700の企業名「H社」と取扱製品・サービス「モータ」を起点とする。この場合、BOM2800のうち、親部品取扱企業が「H社」かつ、親部品が「モータ」に一致するデータである、子部品「ステータ」及び子部品取扱企業「X社」と子部品「ロータ」及び子部品取扱企業「Y社」が抽出される。 Returning to the flowchart in FIG. 11, the flow of processing will be explained. Next, for each company indicated by the company name 2701 and its products and services, the supply chain risk calculation unit 1600 extracts child parts and companies that handle the child parts for the products and services handled by the company (step S1100). For example, the company name "Company H" and the product/service "motor" of the extracted product/service information 2700 are used as the starting point. In this case, in the BOM2800, the parent part handling company is "Company H" and the parent part is data that matches "Motor", the child part "Stator", the child parts handling company "X Company", and the child part "Rotor". ” and the subsidiary parts handling company “Company Y” are extracted.

 次に、サプライチェーンリスク算出部1600は、ステップS1100での処理が各子部品に対して実行されたかを判定する。つまり、サプライチェーンリスク算出部1600は、抽出した子部品及び子部品取扱企業に対して、部品調達先があるかを判定する(ステップS1200)。この結果、部品調達先がある場合は(YES)、ステップS1100に戻り、次の子部品に対する処理を実行する。また、終了していない場合(NO)、ステップS1300に遷移する。 Next, supply chain risk calculation unit 1600 determines whether the process in step S1100 has been executed for each child part. In other words, the supply chain risk calculation unit 1600 determines whether there is a parts supplier for the extracted child parts and companies that handle the child parts (step S1200). As a result, if there is a parts supplier (YES), the process returns to step S1100 and the process for the next child part is executed. If the process has not ended (NO), the process moves to step S1300.

 また、サプライチェーンリスク算出部1600は、ステップS1100での子部品に対する子部品(孫部品)があるかを判定する。この結果、孫部品があれば(YES)、ステップS1500に遷移する。また、孫部品がなければ(NO)、ステップS1400に遷移する。また、サプライチェーンリスク算出部1600は、そして、サプライチェーンリスク算出部1600は、孫部品に対して、ステップS1100と同様の処理を実行する(ステップS1400)。 Furthermore, the supply chain risk calculation unit 1600 determines whether there is a child part (grandchild part) for the child part in step S1100. As a result, if there is a grandchild part (YES), the process moves to step S1500. Furthermore, if there is no grandchild part (NO), the process moves to step S1400. Further, the supply chain risk calculation unit 1600 executes the same process as step S1100 on the grandchild part (step S1400).

 ここで、ステップS1100とステップS1400の処理について説明する。サプライチェーンリスク算出部1600は、当該製品の部品群(部品の子部品も含む)とその取扱い企業群を抽出する。例えば、ステップS1100にて抽出した企業名「H社」と取扱製品・サービス「モータ」に対する、子部品「ステータ」及び子部品取扱企業「X社」を対象とする。そして、サプライチェーンリスク算出部1600は、BOM2800の親部品取扱企業が「X社」かつ、親部品が「ステータ」に一致するデータである、子部品「コイル」及び子部品取扱企業「A社」を抽出する。なお、ステップS1400での親部品とは子部品を指し、子部品とは孫部品を指す。 Here, the processing of step S1100 and step S1400 will be explained. The supply chain risk calculation unit 1600 extracts a group of parts of the product (including child parts of the parts) and a group of companies that handle the parts. For example, for the company name "Company H" and product/service "motor" extracted in step S1100, the child part "stator" and the company "X" that handles the child parts are targeted. Then, the supply chain risk calculation unit 1600 calculates that the parent part handling company in the BOM 2800 is "Company Extract. Note that the parent component in step S1400 refers to a child component, and the child component refers to a grandchild component.

 次に、サプライチェーンリスク算出部1600は、ステップS1100やステップS1400で抽出した企業とその取扱製品・サービスに対して、以下の処理を実行する。ステップS1200で抽出した親部品と親部品取扱企業及び子部品と子部品取扱企業に基づき、企業のサプライチェーン情報を取得する(ステップS1500)。以下、ステップS1500で扱うデータと処理内容の詳細を説明する。 Next, the supply chain risk calculation unit 1600 executes the following process for the companies and their products and services extracted in step S1100 and step S1400. Company supply chain information is acquired based on the parent part, parent part handling company, and child parts and child part handling company extracted in step S1200 (step S1500). The details of the data and processing contents handled in step S1500 will be explained below.

 図14は、実施例2で用いられるサプライチェーン情報2900の一例を示す図である。サプライチェーン情報2900は、企業名2901、取扱製品・サービス2902、サプライチェーン構成企業2903の各フィールドを持つ。つまり、サプライチェーン情報2900は、企業の取扱製品・サービスごとのサプライチェーン構成企業に関する情報である。例えば、図14の例では、ステップS1100で抽出した企業名を「H社」、取引製品・サービスをモータとする。この場合、ステップS1100~ステップS1400では、サプライチェーンを構成する企業である「H社、X社、Y社、A社、B社、C社、D社」が子部品取扱い企業として抽出されることになる。 FIG. 14 is a diagram showing an example of supply chain information 2900 used in the second embodiment. The supply chain information 2900 has fields of company name 2901, products/services 2902, and supply chain constituent companies 2903. In other words, the supply chain information 2900 is information regarding companies that constitute the supply chain for each product/service handled by the company. For example, in the example of FIG. 14, it is assumed that the company name extracted in step S1100 is "Company H" and the traded product/service is motor. In this case, in steps S1100 to S1400, the companies that make up the supply chain, "Company H, Company X, Company Y, Company A, Company B, Company C, and Company D" are extracted as subsidiary parts handling companies. become.

 以上で図11のフローチャートに戻り、処理の流れを説明する。次に、サプライチェーンリスク算出部1600は、データ記憶部2000に保存されたサプライチェーン情報2900に基づき、企業の取引製品・サービスごとのサプライチェーンを構成する企業の企業統治情報2600を抽出する(ステップS1600)。以下、ステップS1600の内容について詳細に説明する。 Now, returning to the flowchart in FIG. 11, the flow of processing will be explained. Next, the supply chain risk calculation unit 1600 extracts corporate governance information 2600 of companies that constitute the supply chain for each product and service traded by the company, based on the supply chain information 2900 stored in the data storage unit 2000 (step S1600). The contents of step S1600 will be explained in detail below.

 例えば、サプライチェーン情報2900において、対象企業を「H社」、取扱製品・サービスを「モータ」とする。この場合、サプライチェーン構成企業は、「H社、X社、Y社、A社、B社、C社、D社」である。つまり、サプライチェーンリスク算出部1600は、企業統治情報2600の企業名「H社、X社、Y社、A社、B社、C社、D社」のカテゴリごとの企業統治指標2603を抽出する。 For example, in the supply chain information 2900, the target company is "Company H" and the product/service handled is "Motor." In this case, the supply chain constituent companies are "Company H, Company X, Company Y, Company A, Company B, Company C, and Company D." In other words, the supply chain risk calculation unit 1600 extracts the corporate governance indicators 2603 for each category of company names "Company H, Company X, Company Y, Company A, Company B, Company C, Company D" from the corporate governance information 2600. .

 以上で図11のフローチャートに戻り、処理の流れを説明する。次に、サプライチェーンリスク算出部1600は、ステップS1600で抽出した企業統治情報2600とサプライチェーン情報2900に基づき、企業の取引製品・サービスごとのサプライチェーンリスクを算出する。そして、サプライチェーンリスク算出部1600は、データ記憶部2000のサプライチェーンリスク情報3000のテーブルに格納する(ステップS1700)。以下で、この処理で扱うデータの詳細を説明する。 Now, returning to the flowchart in FIG. 11, the flow of processing will be explained. Next, the supply chain risk calculation unit 1600 calculates the supply chain risk for each product/service traded by the company based on the corporate governance information 2600 and the supply chain information 2900 extracted in step S1600. Then, the supply chain risk calculation unit 1600 stores it in the table of supply chain risk information 3000 in the data storage unit 2000 (step S1700). The details of the data handled in this process will be explained below.

 図15は、実施例2で用いられるサプライチェーンリスク情報3000の一例を示す図である。サプライチェーンリスク情報3000は、取引候補企業3001、取扱製品・サービス3002、サプライチェーンリスク値3003の各フィールドを持つ。つまり、サプライチェーンリスク情報3000は、取引候補企業のサプライチェーンのリスクに関する情報である。例えば、図15に示す例では、取引候補企業3001の「H社」の取扱製品・サービス3002は「モータ」である。そして、サプライチェーンリスク値3003として、「43.17」が格納されている。このサプライチェーンリスク値3003が、「H社」における供給不足、遅延といったサプラチェーン上のリスクを示す。H社のサプライチェーンリスク値3003は、サプライチェーン情報2900の「H社」のサプライチェーン構成企業2903の企業統治指標2603を用いて、例えば、これらの総和として算出できる。なお、サプライチェーンリスク値3003が大きいほど、企業のコンプライアンス違反ポテンシャルが低い評価結果となる。このステップS1700で、本実施例の処理の説明を終了する。 FIG. 15 is a diagram showing an example of supply chain risk information 3000 used in the second embodiment. Supply chain risk information 3000 has fields of transaction candidate company 3001, products/services handled 3002, and supply chain risk value 3003. In other words, the supply chain risk information 3000 is information regarding risks in the supply chain of the transaction candidate company. For example, in the example shown in FIG. 15, the product/service 3002 handled by "Company H", a transaction candidate company 3001, is "motor". Then, “43.17” is stored as the supply chain risk value 3003. This supply chain risk value 3003 indicates risks in the supply chain such as supply shortages and delays at "Company H". The supply chain risk value 3003 of Company H can be calculated, for example, as the sum of the corporate governance indicators 2603 of the supply chain constituent companies 2903 of “Company H” in the supply chain information 2900. Note that the larger the supply chain risk value 3003 is, the lower the compliance violation potential of the company becomes. At step S1700, the explanation of the process of this embodiment ends.

 次に、実施例2における表示内容について説明する。図16は、実施例2における企業統治情報提供装置1000での画面例を示す図である。なお、この画面は、入出力インタフェース部1700、つまり、図2の表示装置15に表示される。 Next, display contents in Example 2 will be explained. FIG. 16 is a diagram showing an example of a screen on the corporate governance information providing apparatus 1000 in the second embodiment. Note that this screen is displayed on the input/output interface unit 1700, that is, the display device 15 in FIG.

 図16では、画面例として、取引希望内容入力画面1701、取引候補企業のサプライチェーンリスク値表示画面1702およびサプライチェーン表示画面1703を示す。ここで、ユーザが、入出力インタフェース部1700を用いて、取引希望内容入力画面1701に希望する取引内容を入力する。図16の例では、取引内容として、取扱製品・サービスの1つである「モータ」が入力される。 In FIG. 16, a transaction desired content input screen 1701, a supply chain risk value display screen 1702 of a transaction candidate company, and a supply chain display screen 1703 are shown as screen examples. Here, the user uses the input/output interface section 1700 to input the desired transaction details into the desired transaction details input screen 1701. In the example of FIG. 16, "motor", which is one of the products and services handled, is input as the transaction content.

 そして、取引候補企業のサプライチェーンリスク値表示画面1702には、入力された取引内容に該当する取引候補企業のサプライチェーンリスク値が表示される。ここで、取引候補企業とは、入力された取引内容である「モータ」を扱っている企業であり、これはサプライチェーン情報2900から特定できる。 Then, the supply chain risk value display screen 1702 of the transaction candidate company displays the supply chain risk value of the transaction candidate company that corresponds to the input transaction details. Here, the transaction candidate company is a company that handles "motors," which is the input transaction content, and can be identified from the supply chain information 2900.

 また、サプライチェーン表示画面1703には、取引候補企業のサプライチェーンの詳細とサプライチェーン構成企業の企業統治情報が表示される。ここで、サプライチェーンの詳細とは、サプライチェーン情報2900のサプライチェーン構成企業2903の接続関係を図表化したものである。また、サプライチェーン構成企業の企業統治情報は、企業統治情報2600に含まれる、サプライチェーン構成企業2903で特定される各企業の企業統治指標2603で特定できる。 Further, the supply chain display screen 1703 displays details of the supply chain of the transaction candidate company and corporate governance information of the supply chain constituent companies. Here, the supply chain details are a diagram of the connection relationships of the supply chain constituent companies 2903 of the supply chain information 2900. Further, the corporate governance information of the supply chain constituent companies can be specified by the corporate governance index 2603 of each company specified in the supply chain constituent companies 2903, which is included in the corporate governance information 2600.

 以上の画面により、ユーザは、サプライチェーンリスク値が低い順に、取引候補企業を確認することが可能である。また、取引候補企業のサプライチェーンとサプライチェーンリスク値の算出内容の詳細を確認することが可能である。これにより、企業との取引前に企業統治性に基づくサプライチェーン全体のリスクを事前に評価し、取引候補企業を選定することが可能となる。以上で、実施例2の説明を終わるが、実施例2によれば算出した企業統治性に基づき取引候補企業が属するサプライチェーン全体のリスクを算出可能となる。 Using the above screen, the user can confirm transaction candidate companies in descending order of supply chain risk value. In addition, it is possible to check the details of the supply chain of the transaction candidate company and the calculation contents of the supply chain risk value. This makes it possible to evaluate the risks of the entire supply chain based on corporate governance before doing business with companies, and to select candidate companies for business transactions. This concludes the explanation of the second embodiment. According to the second embodiment, it is possible to calculate the risk of the entire supply chain to which the transaction candidate company belongs based on the calculated corporate governance.

 実施例3は、企業統治情報提供装置1000を、企業間取引を提供する「場」(企業間取引サービスシステム)に提供した例を示す。図17は、実施例3における企業間取引サービスシステムの構成図である。企業間取引サービスシステムは、ネットワーク20を介して、購買・調達企業システム2-1、受注企業システム2-2、企業統治情報提供装置1000および取引支援装置1001が互い接続されている。なお、図17では、購買・調達企業システム2-1および受注企業システム2-2をそれぞれ1つずつ記載しているが、これらは複数存在してもよい。 Embodiment 3 shows an example in which the corporate governance information providing device 1000 is provided to a "place" (intercompany transaction service system) that provides intercompany transactions. FIG. 17 is a configuration diagram of an inter-company transaction service system according to the third embodiment. In the inter-company transaction service system, a purchasing/procuring company system 2-1, an order-receiving company system 2-2, a corporate governance information providing device 1000, and a transaction support device 1001 are interconnected via a network 20. Although FIG. 17 shows one purchasing/procuring company system 2-1 and one order receiving company system 2-2, a plurality of these may exist.

 企業統治情報提供装置1000は、実施例1および2と同様の構成である。ここで、企業統治情報提供装置1000は、いわゆるサーバで実現でき、図2の表示装置15、入力装置16やメディア読取装置17を省略することも可能である。 The corporate governance information providing device 1000 has the same configuration as the first and second embodiments. Here, the corporate governance information providing device 1000 can be realized by a so-called server, and the display device 15, input device 16, and media reading device 17 in FIG. 2 can be omitted.

 また、取引支援装置1001は、取扱製品・サービスの取引を支援、仲介する装置であり、コンピュータで実現できる。そして、取引支援装置1001は、取引の支援、仲介のために、注文情報、これに対する発注先企業の選定や引き合い情報、受注許諾などの情報を送受信する。 Further, the transaction support device 1001 is a device that supports and mediates transactions of products and services, and can be realized by a computer. The transaction support device 1001 transmits and receives information such as order information, selection of a company to order from, inquiry information, and order permission in order to support and mediate transactions.

 また、購買・調達企業システム2-1は、取扱製品・サービスを購入するために、購買・調達企業で用いられるシステムである。そして、購買・調達企業システム2-1は、社内ネットワークを介して互いに接続される端末装置群21-1および購買・調達装置22を含む。ここで、端末装置群21-1は、発注先の選定や注文情報の作成などを、ユーザの操作に従って実行する。また、購買・調達装置22は、端末装置群21-1からの情報に従って、取引支援装置1001に対して、注文情報を送信したり、企業統治情報提供装置1000に対して企業統治情報やサプライチェーンリスクの作成指示を送信したりする。この結果、端末装置群21-1では、受注先企業の企業統治情報やサプライチェーンリスクを表示することができる。つまり、端末装置群21-1は、図16に示す画面を表示することができる。なお、購買・調達企業は、取扱製品・サービスを受注することもあり得る。このため、購買・調達企業システム2-1に、受注企業システム2-2もしくは受注装置23を設けることを妨げない。 Additionally, the purchasing/procuring company system 2-1 is a system used by purchasing/procuring companies to purchase products and services. The purchasing/procuring company system 2-1 includes a terminal device group 21-1 and a purchasing/procuring device 22 that are connected to each other via an in-house network. Here, the terminal device group 21-1 selects a supplier, creates order information, etc. according to user operations. In addition, the purchasing/procurement device 22 transmits order information to the transaction support device 1001 and sends corporate governance information and supply chain information to the corporate governance information providing device 1000 according to information from the terminal device group 21-1. Send risk creation instructions. As a result, the terminal device group 21-1 can display corporate governance information and supply chain risks of the client company. In other words, the terminal device group 21-1 can display the screen shown in FIG. 16. Additionally, purchasing and procurement companies may receive orders for the products and services they handle. Therefore, it is possible to provide the order receiving company system 2-2 or the order receiving device 23 in the purchasing/procuring company system 2-1.

 また、受注企業システム2-2は、取扱製品・サービスを提供するために、受注企業で用いられるシステムである。そして、受注企業システム2-2は、社内ネットワークを介して互いに接続される端末装置群21-2および受注装置23を含む。
ここで、端末装置群21-2は、受注許諾や納期などの受注に関する情報の作成などを、ユーザの操作に従って実行する。また、受注装置23は、端末装置群21-2からの情報に従って、取引支援装置1001に対して、受注に関する情報を送信したり、企業統治情報提供装置1000に対して企業統治情報やサプライチェーンリスクの作成指示を送信したりする。この結果、端末装置群21-2では、発注先企業の企業統治情報やサプライチェーンリスクを表示することができる。つまり、端末装置群21-2は、図16に示す画面を表示することができる。なお、受注企業は、取扱製品・サービスの購入。調達することもあり得る。このため、受注企業システム2-2に、購買・調達企業システム2-1もしくは購買・調達装置22を設けることを妨げない。
Further, the order-receiving company system 2-2 is a system used by the order-receiving company in order to provide products and services. The order-receiving company system 2-2 includes a terminal device group 21-2 and an order-receiving device 23 that are connected to each other via an in-house network.
Here, the terminal device group 21-2 executes creation of order-related information such as order approval and delivery date in accordance with user operations. In addition, the order receiving device 23 transmits information regarding orders to the transaction support device 1001, and sends corporate governance information and supply chain risk information to the corporate governance information providing device 1000, according to information from the terminal device group 21-2. or send creation instructions. As a result, the terminal device group 21-2 can display corporate governance information and supply chain risks of the client company. In other words, the terminal device group 21-2 can display the screen shown in FIG. 16. The company receiving the order purchases the products and services it handles. It is also possible to procure it. Therefore, it is possible to provide the purchasing/procuring company system 2-1 or the purchasing/procuring device 22 in the order receiving company system 2-2.

 なお、購買・調達企業システム2-1や受注企業システム2-2は、互いに相手の機能を有してもよい。また、企業間取引サービスシステムは、いわゆるEDI(電子交換)システムで実現することもできる。 Note that the purchasing/procuring company system 2-1 and the order receiving company system 2-2 may have the functions of each other. Further, the inter-company transaction service system can also be realized by a so-called EDI (electronic interchange) system.

 またさらに、企業統治情報を、取引支援装置1001での仲介機能に用いてもよい。例えば、購買・調達企業システム2-1や受注企業システム2-2からの取引先の選定依頼に対して、企業統治情報を用いてその候補を選定といった発注支援ないし受注支援に利用してもよい。 Furthermore, the corporate governance information may be used for an intermediary function in the transaction support device 1001. For example, in response to a request to select a business partner from the purchasing/procurement company system 2-1 or order receiving company system 2-2, corporate governance information may be used to support order placement or order acceptance by selecting candidates. .

 以上で、実施例3の説明を終わる。実施例3によれば、企業間取引での支援を適切に行うことができる。 This concludes the explanation of the third embodiment. According to the third embodiment, support for inter-company transactions can be appropriately provided.

 なお、本発明は上記した各実施例に限定されるものではなく、様々な変形例が含まれる。例えば、上記した各実施例は本発明を分かりやすく説明するために詳細に説明したものであり、必ずしも説明した全ての構成を備えるものに限定されるものではない。また、ある実施例の構成の一部を他の実施例の構成に置き換えることが可能であり、また、ある実施例の構成に他の実施例の構成を加えることも可能である。また、各実施例の構成の一部について、他の構成の追加・削除・置換をすることが可能である。例えば、企業統治情報提供装置1000を企業内の装置として実現することができる。 Note that the present invention is not limited to the above-described embodiments, and includes various modifications. For example, each of the embodiments described above has been described in detail to explain the present invention in an easy-to-understand manner, and the present invention is not necessarily limited to having all the configurations described. Furthermore, it is possible to replace a part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. Further, it is possible to add, delete, or replace a part of the configuration of each embodiment with other configurations. For example, the corporate governance information providing device 1000 can be implemented as an in-house device.

 また、上記の各構成、機能、処理部、処理手段等は、それらの一部又は全部を、例えば集積回路で設計する等によりハードウェアで実現してもよい。また、上記の各構成、機能等は、プロセッサがそれぞれの機能を実現するプログラムを解釈し、実行することによりソフトウェアで実現してもよい。各機能を実現するプログラム、テーブル、ファイル等の情報は、メモリや、ハードディスク、SSD(Solid,State,Drive)等の記録装置、または、ICカード、SDカード、DVD等の記録媒体に置くことができる。 Further, each of the above-mentioned configurations, functions, processing units, processing means, etc. may be partially or entirely realized by hardware, for example, by designing an integrated circuit. Furthermore, each of the above configurations, functions, etc. may be realized by software by a processor interpreting and executing a program for realizing each function. Information such as programs, tables, and files that realize each function can be stored in memory, a recording device such as a hard disk, an SSD (Solid, State, Drive), or a recording medium such as an IC card, SD card, or DVD. can.

 また、制御線や情報線は説明上必要と考えられるものを示しており、製品上必ずしも全ての制御線や情報線を示しているとは限らない。実際には殆ど全ての構成が相互に接続されていると考えてもよい。 In addition, control lines and information lines are shown that are considered necessary for explanation, and not all control lines and information lines are necessarily shown in the product. In reality, almost all components may be considered to be interconnected.

1000:企業統治情報提供装置、1100:情報収集管理部、1200:企業財務分析情報算出部、1300:企業統治評価係数算出部、1400:企業統治情報算出部、1500:サプライチェーン情報取得部、1600:サプライチェーンリスク算出部、1700:入出力インタフェース部、2000:データ記憶部 1000: Corporate governance information providing device, 1100: Information collection management section, 1200: Corporate financial analysis information calculation section, 1300: Corporate governance evaluation coefficient calculation section, 1400: Corporate governance information calculation section, 1500: Supply chain information acquisition section, 1600 : Supply chain risk calculation section, 1700: Input/output interface section, 2000: Data storage section

Claims (10)

 企業の企業統治情報を提供する企業統治情報提供装置において、
 前記企業の財務状況を示す企業財務データおよびコンプライアンス情報を収集する情報収集管理部と、
 前記企業財務データおよび前記コンプライアンス情報に基づいて、前記企業のコンプライアンス違反発生ポテンシャルを示す企業統治情報を算出する企業統治情報算出部を有し、
 算出された前記企業統治情報を提供する企業統治情報提供装置。
In a corporate governance information providing device that provides corporate governance information of a company,
an information collection management department that collects corporate financial data and compliance information indicating the financial status of the company;
a corporate governance information calculation unit that calculates corporate governance information indicating a compliance violation potential of the company based on the corporate financial data and the compliance information;
A corporate governance information providing device that provides the calculated corporate governance information.
 請求項1に記載の企業統治情報提供装置において、
 さらに、
 前記企業財務データを用いて、企業の財務状況を分析する情報である企業財務分析情報を算出する企業財務分析情報算出部と、
 前記企業財務データおよび前記コンプライアンス情報を用いて、前記企業のコンプライアンス違反事項に対する、前記企業財務分析情報の影響度を示す企業統治評価係数を算出する企業統治評価係数算出部を有し、
 前記企業統治情報算出部は、前記企業財務分析情報および前記企業統治評価係数を用いて、前記企業統治情報を算出する企業統治情報提供装置。
The corporate governance information providing device according to claim 1,
moreover,
a corporate financial analysis information calculation unit that uses the corporate financial data to calculate corporate financial analysis information that is information for analyzing the financial situation of the company;
a corporate governance evaluation coefficient calculation unit that uses the corporate financial data and the compliance information to calculate a corporate governance evaluation coefficient indicating the degree of influence of the corporate financial analysis information on compliance violations of the company;
The corporate governance information calculation unit is a corporate governance information providing device that calculates the corporate governance information using the corporate financial analysis information and the corporate governance evaluation coefficient.
 請求項1に記載の企業統治情報提供装置において、
 前記企業統治情報は、前記企業ごとに、コンプライアンス違反発生ポテンシャルの指標である企業統治指数が含まれる企業統治情報提供装置。
The corporate governance information providing device according to claim 1,
The corporate governance information providing device includes a corporate governance index, which is an index of compliance violation potential, for each company.
 請求項3に記載の企業統治情報提供装置において、
 前記企業統治情報算出部は、前記企業の営業利益、研究開発費および設備に対するコストに基づき、前記企業統治指数を算出する企業統治情報提供装置。
The corporate governance information providing device according to claim 3,
The corporate governance information calculation unit is a corporate governance information providing device that calculates the corporate governance index based on operating profit, research and development expenses, and equipment costs of the company.
 請求項3に記載の企業統治情報提供装置において、
 さらに、前記企業とサプライチェーンを構成するサプライチェーン構成企業の企業統治指標を用いて、前記企業のサプラチェーン上のリスクを示すサプライチェーンリスク値を算出するサプライチェーンリスク算出部を有する企業統治情報提供装置。
The corporate governance information providing device according to claim 3,
Further, the provision of corporate governance information includes a supply chain risk calculation unit that calculates a supply chain risk value indicating the risk in the supply chain of the company using the corporate governance indicators of the supply chain constituent companies forming the supply chain with the company. Device.
 企業の企業統治情報を提供する企業統治情報提供装置を用いた企業統治情報提供方法において、
 前記企業の財務状況を示す企業財務データおよびコンプライアンス情報を収集し、
 前記企業財務データおよび前記コンプライアンス情報に基づいて、前記企業のコンプライアンス違反発生ポテンシャルを示す企業統治情報を算出し、
 算出された前記企業統治情報を提供する企業統治情報提供方法。
In a corporate governance information providing method using a corporate governance information providing device that provides corporate governance information of a company,
collect corporate financial data and compliance information indicating the financial status of said company;
Based on the corporate financial data and the compliance information, calculate corporate governance information indicating the potential of compliance violations of the company;
A method for providing corporate governance information that provides the calculated corporate governance information.
 請求項6に記載の企業統治情報提供方法において、
 さらに、
 前記企業財務データを用いて、企業の財務状況を分析する情報である企業財務分析情報を算出し、
 前記企業財務データおよび前記コンプライアンス情報を用いて、前記企業のコンプライアンス違反事項に対する、前記企業財務分析情報の影響度を示す企業統治評価係数を算出し、
 前記企業財務分析情報および前記企業統治評価係数を用いて、前記企業統治情報を算出する企業統治情報提供方法。
In the corporate governance information providing method according to claim 6,
moreover,
Using the corporate financial data, calculate corporate financial analysis information that is information for analyzing the financial situation of the company,
using the corporate financial data and the compliance information to calculate a corporate governance evaluation coefficient indicating the degree of influence of the corporate financial analysis information on compliance violations of the company;
A corporate governance information providing method that calculates the corporate governance information using the corporate financial analysis information and the corporate governance evaluation coefficient.
 請求項6に記載の企業統治情報提供方法において、
 前記企業統治情報は、前記企業ごとに、コンプライアンス違反発生ポテンシャルの指標である企業統治指数が含まれる企業統治情報提供方法。
In the corporate governance information providing method according to claim 6,
In the corporate governance information providing method, the corporate governance information includes, for each company, a corporate governance index that is an index of compliance violation potential.
 請求項8に記載の企業統治情報提供方法において、
 前記企業の営業利益、研究開発費および設備に対するコストに基づき、前記企業統治指数を算出する企業統治情報提供方法。
In the corporate governance information providing method according to claim 8,
A method for providing corporate governance information that calculates the corporate governance index based on the operating profit, research and development expenses, and cost of equipment of the company.
 請求項8に記載の企業統治情報提供方法において、
 さらに、前記企業とサプライチェーンを構成するサプライチェーン構成企業の企業統治指標を用いて、前記企業のサプラチェーン上のリスクを示すサプライチェーンリスク値を算出する企業統治情報提供方法。
In the corporate governance information providing method according to claim 8,
Furthermore, a method for providing corporate governance information that calculates a supply chain risk value indicating a risk in the supply chain of the company using corporate governance indicators of supply chain constituent companies forming a supply chain with the company.
PCT/JP2023/013879 2022-08-30 2023-04-04 Corporate governance information provision device and method Ceased WO2024047919A1 (en)

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