Information processing system, information processing method, and program

Abstract

To properly disclose information related to a user.SOLUTION: An information processing system includes: a business entity attribute storage section that stores an attribute of a first business entity in association with information specifying the first business entity; a disclosure propriety information storage section that stores disclosure propriety information for determining whether or not the first business entity discloses information related to the first business entity to the second business entity; a reception section that receives a search condition for the attribute of the first business entity from the second business entity; a search section that searches the first business entity in association with the attribute matching the search condition; a determination section that determines whether or not information related to the first business entity is disclosed to the second business entity on the basis of the disclosure propriety information in association with the searched first business entity; and an information providing section that provides the information related to the first business entity. The information providing section does not provide the information related to the first business entity when it is determined that the information related to the first business entity is not disclosed to the second business entity.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to an information processing system, an information processing method, and a program. [Background technology]

[0002] The amount of carbon dioxide and other emissions has been calculated (see Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2007-164754 Summary of the Invention [Problem to be solved by the invention]

[0004] Information such as emissions cannot be disclosed indiscriminately.

[0005] The present invention has been made in view of the above background, and aims to provide a technique that can appropriately disclose information about a user. [Means for solving the problem]

[0006] The main invention of the present invention for solving the above problem is an information processing system comprising: a business entity attribute memory unit that stores attributes of a first business entity in association with information identifying the first business entity; a disclosure information memory unit that stores disclosure information that determines whether the first business entity will disclose information related to the first business entity to a second business entity in association with the information identifying the business entity; a reception unit that receives search conditions for the attributes of the first business entity from the second business entity; a search unit that searches for the first business entity corresponding to the attributes that match the search conditions; a determination unit that determines whether information related to the first business entity will be disclosed to the second business entity based on the disclosure information corresponding to the searched first business entity; and an information provision unit that provides information related to the first business entity, wherein the information provision unit does not provide the information related to the first business entity if it is determined that the information related to the first business entity will not be disclosed to the second business entity.

[0007] Other problems and solutions disclosed in this application will be made clear in the section on preferred embodiments of the invention and the drawings. [Effects of the Invention]

[0008] According to the present invention, information about a user can be appropriately disclosed. [Brief explanation of the drawings]

[0009] [Figure 1] FIG. 1 is a diagram illustrating an example of the overall configuration of an information processing system. [Figure 2] FIG. 2 illustrates an example of a hardware configuration of a management server 2. [Figure 3] FIG. 2 illustrates an example of the software configuration of a management server 2. [Figure 4] FIG. 10 is a diagram illustrating the operation of the management server 2. DETAILED DESCRIPTION OF THE INVENTION

[0010] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. In this specification, the same or similar elements are designated by the same reference numerals, and redundant descriptions will be omitted or simplified.

[0011] <System Overview> The information processing system of this embodiment is intended to provide information on greenhouse gas emissions by a business entity such as a company to other businesses such as financial institutions, allowing the business entity to control who receives the information. In the information processing system of this embodiment, examples of gases that are used to calculate greenhouse gas emissions include carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulfur hexafluoride (SF6), and nitrogen trifluoride (NF3).

[0012] 1 is a diagram showing an example of the overall configuration of an information processing system. The information processing system of this embodiment is configured to include a management server 2. The management server 2 is communicably connected to a user terminal 1 via a communication network. The communication network is, for example, the Internet, and is constructed using a public telephone line network, a mobile phone line network, a wireless communication path, Ethernet (registered trademark), etc.

[0013] The user terminal 1 is a computer operated by a user, and may be, for example, a smartphone, a tablet computer, or a personal computer.

[0014] The management server 2 is a computer that manages information about business entities (in this embodiment, greenhouse gas emissions). The management server 2 may be a general-purpose computer such as a workstation or personal computer, or may be logically realized by cloud computing.

[0015] <Administration Server> FIG. 2 is a diagram illustrating an example of the hardware configuration of the management server 2. Note that the illustrated configuration is an example, and other configurations may also be used. The management server 2 includes a CPU 201, a memory 202, a storage device 203, a communication interface 204, an input device 205, and an output device 206. The storage device 203 stores various data and programs, and is, for example, a hard disk drive, a solid state drive, or a flash memory. The communication interface 204 is an interface for connecting to a communication network, and is, for example, an adapter for connecting to Ethernet (registered trademark), a modem for connecting to a public telephone network, a wireless communication device for wireless communication, or a USB (Universal Serial Bus) connector or an RS232C connector for serial communication. The input device 205 is used to input data, and is, for example, a keyboard, a mouse, a touch panel, a button, a microphone, or the like. The output device 206 is used to output data, and is, for example, a display, a printer, a speaker, or the like. Each functional unit of the management server 2 described below is realized by the CPU 201 reading a program stored in the storage device 203 into the memory 202 and executing it, and each storage unit of the management server 2 is realized as part of the storage area provided by the memory 202 and the storage device 203.

[0016] 3 is a diagram showing an example of the software configuration of the management server 2. The management server 2 includes a business entity attribute storage unit 231, a disclosure propriety information storage unit 232, an emission amount storage unit 233, an item storage unit 234, a reception unit 211, a search unit 212, a determination unit 213, an information provision unit 214, an emission amount acquisition unit 215, an investment amount acquisition unit 216, a total investment amount acquisition unit 217, an attribution rate calculation unit 218, an indirect emission amount calculation unit 219, and an accounting data acquisition unit 220.

[0017] <Storage section> The business entity attribute storage unit 231 stores attribute information (hereinafter, "attributes") of a business entity (first business entity, investment / loan recipient) in association with information (e.g., business entity ID) that identifies the business entity. Attributes may include, for example, the name, location, and company identification code of the business entity. The company identification code may include, for example, an identifier assigned by a public institution, such as a corporate number or establishment identification code. Attributes may also include the total amount of investment / loan made by the business entity.

[0018] The disclosure information storage unit 232 stores disclosure information for a first business entity (e.g., an investment or loan recipient) to determine whether to disclose information related to the first business entity to a second business entity (e.g., a financial institution), in association with the business entity ID. The disclosure information may be, for example, disclosure conditions for the second business entity (e.g., disclosure is permitted for a bank). The disclosure information may also be information identifying the second business entity (e.g., a corporate number, a company name, a group name, an ID assigned by the system (business entity ID), etc.).

[0019] The emission amount storage unit 233 stores the greenhouse gas emissions by the business entity indicated by the business entity ID in association with the business entity ID. The emission amount storage unit 233 can store the emissions in association with time information (e.g., date, year / month, year, fiscal year, etc.) and the business entity ID. The emission amount storage unit 233 may store the emissions separately for direct emissions associated with business activities (Scope 1), indirect emissions associated with the use of electricity and heat purchased by investment and loan recipients (Scope 2), and emissions in the supply chain (Scope 3).

[0020] The item storage unit 234 stores items included in the accounting data related to the investment and / or loan recipients and / or projects in association with the investment and / or loan recipients and / or projects. Items included in the accounting data may be, for example, account titles, sub-titles, items, remarks, etc.

[0021] <Functional section> The receiving unit 211 receives, from the second business entity, a search condition for the attributes of the first business entity. The receiving unit 211 can receive, for example, from a user terminal 1 of a financial institution, a request including a search condition for an investment or loan destination.

[0022] The search unit 212 searches for a business entity ID corresponding to an attribute that matches the search criteria. It is possible to extract investment and loan targets that match the search criteria received from the financial institution by the reception unit 211 from the business entity attribute storage unit 231. Attributes that match the search criteria include attributes that match the search criteria, attributes that match part of the search criteria, and attributes that correspond to the search criteria.

[0023] The determination unit 213 determines whether or not to disclose information related to the first business entity to the second business entity. The determination unit 213 acquires disclosure information corresponding to the searched business entity ID from the disclosure information storage unit 232, and determines whether or not to disclose information related to the first business entity to the second business entity based on the acquired disclosure information. The determination unit 213 can, for example, acquire attributes corresponding to the second business entity from the business entity attribute storage unit 231, and determine whether or not to disclose information to the second business entity depending on whether or not the acquired attributes satisfy the disclosure conditions of the disclosure information. As a result, when a financial institution searches for information about a target of investment or loan, information about the target of investment or loan can be provided if the target of investment or loan has set up a policy to disclose its information to the financial institution.

[0024] The information providing unit 214 provides information about a first business entity. The information about the first business entity may be information indicating whether the first business entity is registered in the system (whether the first business entity is a user of the system). If it is determined that information about the first business entity should be disclosed to the second business entity, the information providing unit 214 provides information about the first business entity. If it is determined that information about the first business entity should not be disclosed to the second business entity, the information providing unit 214 does not provide information about the first business entity. If it is determined that information about the first business entity should be disclosed to the second business entity, the information providing unit 214 can provide the following information. That is, the information providing unit 214 can notify a financial institution of the existence of a potential investment or loan recipient by providing information about whether a first business entity matching the search criteria is registered in the system. Furthermore, the information providing unit 214 can provide information useful for the financial institution's investment or loan decision by providing the emission amount corresponding to the searched first business entity. Furthermore, the information providing unit 214 enables the financial institution to grasp an overview of the potential investment or loan recipient by providing attributes corresponding to the first business entity.

[0025] The emission amount acquisition unit 215 acquires the amount of greenhouse gas emissions by the business entity. The emission amount acquisition unit 215 can acquire the emission amount corresponding to the investment and loan recipient and the target period from the emission amount storage unit 233.

[0026] The emission amount acquisition unit 215 can also, for example, send form data to the user terminal 1 of the investee and acquire emission amounts from the user terminal 1 of the investee. The user terminal 1 of the investee can display an input screen based on the form data and accept input of emission amounts from the investee user. When the investment amount and total investment amount for each project are to be acquired, the form data can include information indicating the project, and emission amounts corresponding to that project can be input.

[0027] Furthermore, the emission amount acquisition unit 215 may inquire about the emission amount from the investment / loan recipient user. For example, the emission amount acquisition unit 215 can send a message (such as an email or chat message) to the investment / loan recipient user inquiring about the emission amount, and acquire the emission amount written in or attached to the message sent from the investment / loan recipient terminal 1.

[0028] Furthermore, the emission amount acquisition unit 215 may, for example, acquire a published report on greenhouse gas emissions by the investee, and extract the emission amounts from the report. The emission amount acquisition unit 215 may, for example, acquire the report by accessing the investee's web server. The emission amount acquisition unit 215 may, for example, acquire the report by accessing a server that publicly publishes the report. The emission amount acquisition unit 215 may, for example, send a message (such as an email or chat message) to the investee user instructing them to send the report, and receive report data from the investee terminal 1.

[0029] The investment and loan amount acquisition unit 216 acquires the investment and loan amount for the investment and loan recipient from the financial institution. The investment and loan amount acquisition unit 216 can, for example, send form data to the user terminal 1 of the financial institution and acquire information indicating the investment and loan recipient and the investment and loan amount from the user terminal 1 of the financial institution. The user terminal 1 of the financial institution can display an input screen based on the form data and accept input of information indicating the investment and loan recipient and the investment and loan amount from the financial institution user. The investment and loan amount acquisition unit 216 may access a management system that manages investment and loan amounts at the financial institution and acquire the investment and loan amount for the investment and loan recipient to be analyzed from the investment and loan amount management system.

[0030] The investment and loan amount acquisition unit 216 can acquire the total amount (balance) of investment and loan provided by the financial institution to the business entity of the investment and loan recipient as the investment and loan amount, and can also acquire the total amount (balance) of investment and loan provided to a specific project of the investment and loan recipient (such as a specific business or specific fixed asset) as the investment and loan amount. When a specific project is the target, the investment and loan amount acquisition unit 216 can accept information that identifies the project.

[0031] The total investment and loan amount acquisition unit 217 acquires the total investment and loan amount received by the investment and loan recipient from the investment and loan recipient. The total investment and loan amount can be the amount of investment and loan (stocks and debt) received by the investment and loan recipient from financial institutions (which may be one or more). The amount of debt can be the remaining loan balance. The value of the stocks may be the acquisition amount or the current appraised value. The total investment and loan amount acquisition unit 217 can, for example, send form data to the user terminal 1 of the investment and loan recipient and acquire the total investment and loan amount from the user terminal 1 of the investment and loan recipient. The user terminal 1 of the investment and loan recipient can display an input screen based on the form data and accept input of the total investment and loan amount from the investment and loan recipient user.

[0032] The total investment and loan amount acquisition unit 217 may acquire the total investment and loan amount covering all investments and loans received by the investment and loan recipient business entity, or may acquire the total investment and loan amount as the total investment and loan amount corresponding to a specific project (a specific business, a specific fixed asset, or other project that the investment and loan amount acquisition unit 216 has accepted from a financial institution).

[0033] The total investment and loan amount acquisition unit 217 may send a message (for example, an email or a chat message via a chat service) to the investment and loan recipient user requesting the total investment and loan amount, receive a message including the total investment and loan amount sent from the investment and loan recipient user, and extract the total investment and loan amount from data described in or attached to the received message. The total investment and loan amount acquisition unit 212 may send a request to the investment and loan recipient's server and receive the total investment and loan amount returned from the server in response to the request.

[0034] Furthermore, the total investment and loan amount acquisition unit 212 may send a message to a supporter who assists in calculating indirect greenhouse gas emissions (hereinafter referred to as indirect emissions) by a financial institution, requesting the supporter to specify the investment and loan destination and to respond with the total investment and loan amount at the investment and loan destination, and may accept input of the total investment and loan amount from the supporter. The total investment and loan amount acquisition unit 212 may extract the total investment and loan amount from data described in or attached to a message sent from the supporter (for example, an email or a chat message via a chat service).

[0035] The attribution rate calculation unit 218 calculates the attribution rate of the financial institution to the investment / loan recipient. The attribution rate calculation unit 218 can calculate the attribution rate by dividing the investment / loan amount by the total investment / loan amount. The attribution rate calculation unit 218 may calculate the attribution rate of the financial institution to the investment / loan recipient business entity, or may calculate the attribution rate of the financial institution to a specific project at the investment / loan recipient. The attribution rate calculation unit 218 can calculate the attribution rate of the financial institution to the investment / loan recipient business entity by dividing the total amount of investment / loan made by the financial institution to the investment / loan recipient business entity (acquired by the investment / loan amount acquisition unit 216) by the total investment / loan amount covering all investments / loans received by the investment / loan recipient business entity (acquired by the total investment / loan amount acquisition unit 217). The attribution rate calculation unit 218 can calculate the attribution rate of the financial institution to the project by dividing the total amount of investment and loan made by the financial institution to a specific project at the investment and loan recipient (acquired by the investment and loan amount acquisition unit 216) by the total amount of investment and loan received by the investment and loan recipient for the project (acquired by the total investment and loan amount acquisition unit 217).

[0036] The indirect emission calculation unit 219 can calculate the indirect emission amount by multiplying the emission amount by the attribution rate.

[0037] The information providing unit 214 provides information about the business entity. The information providing unit 214 can provide information about whether the business entity is using the system (whether the user ID of the business entity is registered). The information providing unit 214 can provide the indirect emissions of the business entity. The information providing unit 214 can provide the attributes of the business entity. The information providing unit 214 can respond to the sender of the request with information about the business entity.

[0038] The accounting data acquisition unit 220 acquires accounting data related to the investment / loan recipient. The accounting data acquisition unit 220 may acquire the financial institution's accounting data from the financial institution terminal 3 or the financial institution's server (such as an accounting system), or may acquire the investment / loan recipient's accounting data from the investment / loan recipient terminal 1 or the investment / loan recipient's server (such as an accounting system).

[0039] The total investment and loan amount acquisition unit 217 can calculate the total investment and loan amount based on the accounting data.

[0040] The total investment and loan amount acquisition unit 217 can, for example, extract accounting data related to a specific project and calculate the total investment and loan amount based on the extracted accounting data. The total investment and loan amount acquisition unit 217 can acquire items corresponding to a project from the item storage unit 234 and determine whether the acquired accounting data relates to the project based on whether the acquired items are included in the acquired accounting data.

[0041] The total investment and loan amount acquisition unit 217 may use AI to identify accounting data corresponding to a project. For example, the total investment and loan amount acquisition unit 217 can determine whether the accounting data relates to a specific project by providing attributes of a specific project and items of the acquired accounting data to a learning model created by machine learning the items included in the accounting data and the attributes of the project to which the items relate. In this case, the management server 2 may be provided with a learning model storage unit that stores the learning model, or an external server may be configured to manage the learning model.

[0042] <Operation> FIG. 4 is a diagram illustrating the operation of the management server 2.

[0043] The management server 2 receives a request specifying search conditions from the user terminal 1 of a second business entity (e.g., a financial institution) (S301), searches for a first business entity corresponding to attributes that match the received search conditions (S302), and determines whether or not to disclose information related to the first business entity to the second business entity based on the disclosure eligibility information corresponding to the searched first business entity (S303).

[0044] If the management server 2 determines that the information should be disclosed (S304: YES), it responds to the second business entity with the information requested (S305), and if it determines that the information should not be disclosed (S304: NO), it responds to the second business entity with an error (S306).

[0045] The information in response to the request returned in step S305 may be attributes corresponding to the first business entity stored in the business entity attribute storage unit 231. The information in response to the request may be emissions corresponding to the first business entity stored in the emission storage unit 233. If time information is specified in the request, the information in response to the request may be emissions corresponding to the first business entity and the time information. The information in response to the request may be indirect emissions. In this case, as described above, the management server 2 can calculate the attribution rate by obtaining the investment and loan amount and the total investment and loan amount, and can calculate the indirect emissions related to the second business entity (financial institution) by obtaining the emissions corresponding to the first business entity (investment recipient) and multiplying them by the attribution rate.

[0046] As described above, the information processing system of this embodiment makes it possible to provide information on emissions and the like relating to business entities, while also enabling business entities to control whether or not to disclose the information.

[0047] Although the present embodiment has been described above, the above embodiment is intended to facilitate understanding of the present invention and is not intended to limit the present invention. The present invention may be modified or improved without departing from the spirit thereof, and equivalents thereof are also included in the present invention.

[0048] For example, the processing by each of the functional units of the management server 2 described above may be performed by any of the functional units. Also, a different functional unit that performs part of the processing by each of the functional units described above may be added. Also, the functional units of the management server 2 may be distributed across multiple computers.

[0049] Furthermore, the information stored in each storage unit of the management server may be stored in any of the storage units. That is, the information stored in the above-mentioned multiple storage units may be stored in one storage unit, or part of the information stored in one of the above-mentioned storage units may be stored in another storage unit.

[0050] <Variation 1> The total investment and loan amount acquisition unit 217 can also automatically acquire the total investment and loan amount of the investment and loan recipient from publicly available financial statements.

[0051] Specifically, the total investment and loan amount acquisition unit 217 accesses a website that discloses the financial statements of the investment or loan recipient (for example, the investment or loan recipient's own website, the Financial Services Agency's EDINET (Electronic Disclosure for Investors' NETwork), etc.), and acquires the financial statements of the investment or loan recipient from the website. The total investment and loan amount acquisition unit 217 then extracts the total investment and loan amount of the investment or loan recipient from the data included in the acquired financial statements.

[0052] The total investment and loan amount acquisition unit 217 can calculate the total investment and loan amount of the investment or loan recipient by, for example, extracting amounts of account items such as "short-term borrowings," "long-term borrowings due within one year," "long-term borrowings," and "corporate bonds" listed in the liabilities section of the balance sheet in the financial statements and adding these up. The total investment and loan amount acquisition unit 217 can also calculate the total investment and loan amount of the investment or loan recipient by extracting amounts of account items such as "income from short-term borrowings," "income from long-term borrowings," and "income from issuance of corporate bonds" listed in the "cash flow from financing activities" section of the cash flow statement and adding these up.

[0053] When extracting data from financial statements, the total investment amount acquisition unit 217 uses OCR (Optical Character Recognition) technology to recognize text data from image data of tables in the financial statements, and performs predetermined pattern matching on the recognized text data to identify desired account items and amounts. In addition, if the financial statements are provided in XBRL (eXtensible Business Reporting Language) format, the total investment amount acquisition unit 217 can also identify desired account items and amounts by executing a predetermined XPath (XML Path Language) query on the XBRL data.

[0054] <Variation 2> In the above embodiment, the determination unit 213 determines whether or not to disclose information related to the first business entity to the second business entity based on the disclosure information corresponding to the searched business entity ID, but the present invention is not limited to this. The determination unit 213 can also determine whether or not to disclose information based on the ESG score, credit rating, etc. of the investment or loan destination.

[0055] Specifically, the determination unit 213 acquires the ESG score and credit rating of the investment or loan target. The ESG score is an index that evaluates the investment or loan target's efforts regarding the environment, society, and governance, and may be a score assigned by an external organization such as the Carbon Disclosure Project (CDP). The credit rating is an index that evaluates the investment or loan target's financial soundness and debt repayment ability, and may be a rating assigned by a credit rating agency such as S&P Global, Moody's, R&I, or JCR.

[0056] Then, the determination unit 213 determines whether or not the acquired ESG score or credit rating satisfies predetermined criteria, thereby deciding whether or not to disclose the information to the second business entity. For example, the determination unit 213 can determine that disclosure of the information is permitted if the ESG score is equal to or greater than a certain value, or if the credit rating is BBB or higher, and can determine that disclosure of the information is not permitted in other cases.

[0057] Furthermore, the determination unit 213 can determine whether or not to disclose information by taking into consideration attributes of the investee, such as the industry, company size, and location area, in addition to the ESG score and credit rating. For example, the determination unit 213 can determine that information disclosure is not permitted if the investee belongs to an industry with a high environmental impact, even if the ESG score is above a certain value. Conversely, the determination unit 213 can determine that information disclosure is permitted if the investee is actively developing environment-related businesses, even if the ESG score is below a certain value.

[0058] In this way, by configuring the determination unit 213 to determine whether or not to disclose information based on the ESG score, credit rating, etc. of the investment or loan recipient, it becomes possible to flexibly determine whether or not to disclose information by taking into consideration the non-financial efforts and financial reliability of the investment or loan recipient, rather than making a uniform decision on whether or not to disclose information based solely on the attributes of the investment or loan recipient. As a result, it is possible to diversify the standards for information disclosure.

[0059] <Variation 3> In the above embodiment, when the total investment amount acquisition unit 217 extracts accounting data related to a specific project, an example is shown in which a learning model created by machine learning the items included in the accounting data and the attributes of the project to which the items are related is used. However, in identifying accounting data related to a project, it is also possible to perform not only keyword search but also semantic analysis using natural language processing.

[0060] Specifically, the total investment amount acquisition unit 217 analyzes the semantic content of the text data included in the accounting data (for example, account titles, summaries, remarks, etc.) by performing natural language processing such as morphological analysis, syntactic analysis, and semantic analysis. Then, based on the analysis results, the total investment amount acquisition unit 217 determines whether the accounting data relates to a specific project.

[0061] For example, if the summary column of accounting data contains the text "Payment of construction costs associated with the construction of a new factory," the total investment amount acquisition unit 217 can use morphological analysis to break down the text into words such as "new factory," "construction," "associated with," "construction," "cost," "of," and "payment," and by analyzing the parts of speech and semantic relationships of these words, determine that the accounting data represents payment of costs associated with the construction of a new factory.

[0062] Furthermore, the total investment amount acquisition unit 217 can register keywords related to a specific project in advance, and determine whether these keywords are included in the text data of the accounting data, as well as determine whether the keywords are used in relation to the project by analyzing the syntactic structure and context of sentences containing the keywords. This makes it possible for the total investment amount acquisition unit 217 to prevent erroneous extraction of accounting data that includes keywords but is unrelated to the project.

[0063] In this way, by configuring the total investment amount acquisition unit 217 to perform semantic analysis using natural language processing when identifying accounting data related to a project, it becomes possible to extract accounting data related to a specific project based on the semantic content of the accounting data, without being affected by variations in keyword notation or paraphrases. As a result, the accuracy of identifying accounting data related to a project can be improved.

[0064] <Disclosures> The present disclosure also includes the following configurations. [Item 1] a business entity attribute storage unit that stores attributes of the first business entity in association with information that identifies the first business entity; a disclosure information storage unit that stores disclosure information for determining whether the first business entity will disclose information related to the first business entity to a second business entity, in association with information identifying the business entity; a receiving unit that receives search conditions for the attributes of the first business entity from the second business entity; a search unit that searches for the first business entity corresponding to the attribute that matches the search criteria; a determination unit that determines whether or not to disclose information related to the first business entity to the second business entity based on the disclosure permission information corresponding to the searched first business entity; an information providing unit that provides information related to the first business entity; Equipped with when it is determined that the information providing unit should not disclose the information related to the first business entity to the second business entity, the information providing unit does not provide the information related to the first business entity; An information processing system characterized by: [Item 2] Item 1, an information processing system according to item 1, an emission storage unit that stores the greenhouse gas emission amount of the first business entity in association with information that identifies the business entity; when it is determined that the information related to the first business entity should be disclosed to the second business entity, the information providing unit provides the amount of emissions corresponding to the searched first business entity; An information processing system characterized by: [Item 3] storing attributes of the first business entity in association with information identifying the first business entity; storing disclosure permission information for determining whether the first business entity will disclose information related to the first business entity to a second business entity in association with information identifying the business entity; receiving a search condition for the attribute of the first business entity from the second business entity; searching for the first business entity corresponding to the attributes that match the search criteria; determining whether or not to disclose information related to the first business entity to the second business entity based on the disclosure permission information corresponding to the first business entity that has been searched; providing information related to the first business entity; The computer executes When it is determined in the step of providing information that the information related to the first business entity should not be disclosed to the second business entity, the computer does not provide the information related to the first business entity; An information processing method comprising: [Item 4] storing attributes of the first business entity in association with a business entity ID that identifies the first business entity; storing disclosure permission information for determining whether or not the first business entity will disclose information related to the first business entity to a second business entity in association with the business entity ID; receiving, from the second business entity, a search condition for the attribute of the first business entity; searching for the business entity ID corresponding to the attribute that matches the search criteria; determining whether or not to disclose information related to the first business entity to the second business entity based on the disclosure permission information corresponding to the searched business entity ID; providing information about the first business entity; A program that causes a computer to execute the When it is determined that the information relating to the first business entity should not be disclosed to the second business entity in the step of providing the information to the computer, not allowing the information relating to the first business entity to be provided; A program characterized by. [Explanation of symbols]

[0065] 1. User terminal 2 Management Server

Claims

1. a business entity attribute storage unit that stores attributes of the first business entity in association with information identifying the first business entity; a disclosure information storage unit that stores disclosure information for determining whether the first business entity will disclose information related to the first business entity to a second business entity, in association with information identifying the business entity; a receiving unit that receives search conditions for the attributes of the first business entity from the second business entity; a search unit that searches for the first business entity corresponding to the attribute that matches the search criteria; a determination unit that determines whether or not to disclose information related to the first business entity to the second business entity based on the disclosure permission information corresponding to the searched first business entity; an information providing unit that provides information related to the first business entity; Equipped with when it is determined that the information providing unit should not disclose the information related to the first business entity to the second business entity, the information providing unit does not provide the information related to the first business entity; An information processing system characterized by:

2. 2. The information processing system according to claim 1, an emission storage unit that stores the greenhouse gas emissions amount of the first business entity in association with information that identifies the business entity; the information providing unit, when it is determined that the information related to the first business entity should be disclosed to the second business entity, provides the emission amount corresponding to the searched first business entity; An information processing system characterized by:

3. storing attributes of the first business entity in association with information identifying the first business entity; storing disclosure permission information for determining whether the first business entity will disclose information related to the first business entity to a second business entity in association with information identifying the business entity; receiving a search condition for the attribute of the first business entity from the second business entity; searching for the first business entity corresponding to the attributes that match the search criteria; determining whether or not to disclose information related to the first business entity to the second business entity based on the disclosure permission information corresponding to the first business entity that has been searched; providing information related to the first business entity; The computer executes When it is determined in the step of providing information that the information related to the first business entity should not be disclosed to the second business entity, the computer does not provide the information related to the first business entity; An information processing method comprising:

4. storing attributes of the first business entity in association with information identifying the first business entity; storing disclosure permission information for determining whether the first business entity will disclose information related to the first business entity to a second business entity in association with information identifying the business entity; receiving a search condition for the attribute of the first business entity from the second business entity; searching for the first business entity corresponding to the attributes that match the search criteria; determining whether or not to disclose information related to the first business entity to the second business entity based on the disclosure permission information corresponding to the first business entity that has been searched; providing information about the first business entity; A program that causes a computer to execute the When it is determined in the step of providing the information to the computer that the information related to the first business entity should not be disclosed to the second business entity, not allowing the information related to the first business entity to be provided; A program characterized by.

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