Information processing system, information processing method, and program

Abstract

To provide a technique for presenting measures for supporting reduction of greenhouse gases.SOLUTION: An information processing system includes: a storage unit which stores emission information including at least information indicating internal knowledge of a business entity constituting upstream or downstream of a supply chain; a receiving unit which can receive instruction information from a user to create an in-house report; a generation unit which generates an in-house report based on the instruction information and the information indicating the internal knowledge; and an output unit which outputs the in-house report so as to be viewed by the user.SELECTED DRAWING: Figure 9

Description

[Technical field]

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

[0002] Calculations of greenhouse gas emissions such as carbon dioxide are being carried out (see Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2007-164754 A Summary of the Invention [Problem to be solved by the invention]

[0004] It is necessary to grasp the greenhouse gas emissions situation throughout the entire supply chain and to reduce greenhouse gas emissions.

[0005] The present invention has been made in view of the above background, and aims to provide a technique for proposing measures to support the reduction of greenhouse gas emissions. [Means for solving the problem]

[0006] The information processing system of the present embodiment is characterized by comprising a memory unit that stores emission information including at least information indicating internal knowledge of business entities upstream or downstream in the supply chain, a reception unit that can receive instruction information from a user, a generation unit that generates a report based on the instruction information based on the instruction information and the information indicating the internal knowledge, and an output unit that can output the report.

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

[0008] According to the present invention, it is possible to grasp the emission status of greenhouse gases. [Brief description of the drawings]

[0009] [Figure 1] 1 is a diagram illustrating an example of the overall configuration of an information processing system according to an embodiment of the present invention. [Diagram 2] FIG. 2 illustrates an example of a hardware configuration of a management server 200. [Diagram 3] FIG. 2 illustrates an example of the software configuration of a management server 200. [Figure 4] FIG. 13 is a diagram for explaining a process for presenting an emission coefficient. [Diagram 5] FIG. 11 is a diagram illustrating a process 1 for generating and presenting third information. [Figure 6] FIG. 11 is a diagram for explaining a process 2 for generating and presenting third information. [Figure 7] FIG. 11 is a diagram for explaining a process 3 for generating and presenting third information. [Figure 8] FIG. 11 is a diagram for explaining a process 4 for generating and presenting the third information. [Figure 9] FIG. 11 is a diagram for explaining a process 5 for generating and presenting third information. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] In this embodiment, greenhouse gas emissions are mainly used as an example, but the following information can also be targeted. The targeted information (data) is E1, E2, E3, E4, E5, S1, S2, S3, S4, G information, and human rights due diligence (hereinafter, human rights DD). E1, E2, E3, E4, and E5 are information related to the environment. S1, S2, S3, and S4 are information related to society. G is information related to governance. These pieces of information are collected by the acquisition unit 250, which will be described later. The acquisition unit 250 collects these pieces of information in real time or periodically.

[0011] E1 is climate change data. There are two types of climate change data: transition risk type and physical risk type. Examples of climate change data of the physical risk type include location information of the target base, base attribute information (building information, etc.), financial information (asset value, etc.), greenhouse gas emissions, etc.

[0012] E2 is pollution data. Examples of pollution data are: emissions, transfers, consumption, waste records of hazardous substances, establishments and conditions of known pollution, emissions of air pollutants, emissions to water, emissions of inorganic pollutants, emissions of ozone depleting substances, microplastics, total amount of substances of concern generated or used during production, total amount of substances of concern procured, total amount of substances of concern shipped, significant risks, opportunities and financial impacts arising from pollution-related impacts, operational and capital expenditures related to accidents and deposits, incidents (e.g. interruption of production resulting in pollution), targets for determining regional ecological thresholds (TNFD / SBTN based), site location information of adopted policies, contextual information of targets and response to shortcomings in DNSH criteria, etc.

[0013] E3 is data on water and marine resources. Examples of data on water and marine resources are water withdrawals, water discharges, information on bases in water-stressed areas, water recycling rate, COD (biochemical oxygen demand), BOD (chemical oxygen demand), targets for water and marine resources (TNFD / SBTN based), reduction targets for water withdrawals, reduction targets for water discharges, total water use in areas with significant water risks, information on water quality and quantity in the watershed, total amount of water recycled and reused, total amount of water storage and changes in storage, potential financial impacts of significant risks / opportunities, and exposure to related products and services.

[0014] E4 is biodiversity data. Examples of biodiversity data are: location of business activities, business sector information, financial information (e.g. asset values), TNFD / SDPI based targets, avoidance / minimization / restoration / offset targets, area of ​​land permanently protected, area of ​​land restored, number of sites with improved ecosystem integrity, number and area of ​​material sites, land use based on LCA, change in land cover over time (e.g. deforestation), changes in ecosystem management over time, changes in spatial configuration of landscapes, changes in structural connectivity of ecosystems, financial impact of risks / opportunities, products / services exposed, etc.

[0015] E5 is circular economy data. Examples of circular economy data are: amount and percentage of recycled materials in procurement, total amount and percentage of waste, repairability, degradability, SBTN-based target setting, resource use and circular economy related targets (e.g. increasing circular design, increasing circular material usage), ecological thresholds and quotas, sustainable procurement related targets, targets for the value chain, absolute and percentage weight of renewable input materials, weight of products and materials (non-virgin) that are reused or recycled in both absolute and percentage values, information on materials discharged from production process (e.g. durability, reusability, repairability, degradability, remanufacturability / refurbishability), total amount and percentage of waste (hazardous / non-hazardous), financial impact of significant risks / opportunities, related products / services at risk, etc.

[0016] S1 is data on the company's own employees. Examples of the company's own employee data include data in the company's HR system, history of interactions with labor unions, employee-related incidents, etc. S2 is data on employees in the value chain. Examples of the company's employee data include data collected in the form of a questionnaire based on the SAQ established by the United Nations (customized for each industry and company). S3 is data on affected communities. S4 is data on consumers and end customers. G is data on business activities.

[0017] 1 is a diagram showing an example of the overall configuration of an information processing system according to this embodiment. The information processing system according to this embodiment is configured to include a management server 200. The management server 200 is communicably connected to a user terminal 100 via a communication network 300. The communication network 300 is, for example, the Internet, and is constructed by a public telephone line network, a mobile phone line network, a wireless communication path, Ethernet (registered trademark), or the like.

[0018] The user terminal 100 is a computer operated by a user of a business entity such as a company that generates waste. The user terminal 100 may be, for example, a smartphone, a tablet computer, or a personal computer. The user can access the management server 200 using the user terminal 100 to calculate the amount of waste generated.

[0019] The management server 200 is a computer that calculates and manages emissions. The management server 200 may be a general-purpose computer such as a workstation or a personal computer, or may be logically realized by cloud computing.

[0020] <Administration Server> FIG. 2 is a diagram showing an example of the hardware configuration of the management server 200. Note that the illustrated configuration is an example, and other configurations may be used. The management server 200 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 is, for example, a hard disk drive, a solid state drive, or a flash memory that stores various data and programs. The communication interface 204 is an interface for connecting to the communication network 300, and is, for example, an adapter for connecting to Ethernet (registered trademark), a modem for connecting to a public telephone line network, a wireless communication device for wireless communication, a USB (Universal Serial Bus) connector or an RS232C connector for serial communication, etc. The input device 205 is, for example, a keyboard, a mouse, a touch panel, a button, a microphone, etc. that input data. The output device 206 is, for example, a display, a printer, a speaker, etc. that output data. Each functional unit of the management server 200 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 200 is realized as part of the storage area provided by the memory 202 and the storage device 203.

[0021] <<Generation and presentation of various information (third function)>> An example of the software configuration of the management server 200 in the third function will be described with reference to Fig. 3. Note that the illustrated configuration is an example, and other configurations may be used. The management server 200 includes a storage unit 230 (emission coefficient storage unit, scale information storage unit), an acquisition unit 250 (activity amount acquisition unit, information acquisition unit), a calculation unit 210 (emission amount calculation unit), an output unit 240 (information presentation unit, emission coefficient presentation unit), a generation unit 260 (information generation unit, information conversion unit), and an input unit 220 (information input unit).

[0022] The emission coefficient storage unit constituting the storage unit 230 stores, for each business entity, an emission coefficient for calculating the greenhouse gas emissions by that business entity. The emission coefficient storage unit can store the emission coefficient in association with the business entity and information (activity content) that identifies the business entity and the activity by the business entity. The emission coefficient storage unit can also store the emission coefficient of the company itself.

[0023] The scale information storage unit constituting the storage unit 230 stores scale information indicating the scale of the business entity for each business entity. In this embodiment, the scale of the business entity is at least one of sales scale and asset scale. The sales scale and asset scale may be numerical values. In this embodiment, the scale information includes the sales amount and asset value of the business entity in association with the business entity ID indicating the business entity. The scale information storage unit stores first information and second information, which will be described later. The first information and the second information may be combined into total information, and this total information may be stored in the scale information storage unit. Note that the first information and the second information may be stored using a storage unit other than the scale information storage unit.

[0024] The activity amount acquisition unit constituting the acquisition unit 250 acquires the activity amount of the business entity. The activity amount acquisition unit can receive an input of the activity amount of the business entity. The activity amount acquisition unit can also acquire the activity amount of the business entity from the accounting system, business system, or the like of the business entity.

[0025] The activity amount acquiring unit may also acquire the amount of activity by a first business entity (supplier) that constitutes an upstream or downstream of the supply chain. The activity amount acquiring unit may, for example, accept an input of the amount of activity, or may acquire the amount of activity from an information processing device of the supplier.

[0026] The emission calculation unit constituting the calculation unit 210 calculates the greenhouse gas emission amount. The emission calculation unit may calculate the emission amount of the company itself. The emission calculation unit can also calculate the emission amount of a supplier. The emission calculation unit can calculate the emission amount of the supplier by reading out the emission coefficient corresponding to the supplier from the emission coefficient storage unit and multiplying the activity amount of the supplier acquired by the activity amount acquisition unit by the read-out emission coefficient.

[0027] The emission coefficient presentation unit constituting the output unit 240 presents the emission coefficient of another business entity similar to the supplier when the supplier's emissions are not registered. The emission coefficient presentation unit transmits the presented emission coefficient to the user terminal 100, and can receive an instruction from the user terminal 100 of the emission coefficient to be adopted. The user terminal 100 can adopt the presented emission coefficient, can input an emission coefficient that the user terminal 100 knows, or can adopt a standard emission coefficient provided by the Ministry of the Environment or the like. The emission calculation unit can calculate the emission amount using the emission coefficient instructed from the user terminal 100.

[0028] The emission coefficient presentation unit constituting the output unit 240 reads out scale information corresponding to the supplier from the scale information storage unit, and further refers to the scale information storage unit to identify a second business entity (another supplier) corresponding to scale information that matches or is similar to the read-out scale information, and reads out an emission coefficient corresponding to the identified other supplier from the emission coefficient storage unit. The similarity of the scale information can be determined based on whether or not a difference in sales and / or asset amount is within a predetermined range. The emission coefficient presentation unit may read out an emission coefficient corresponding to the identified other supplier and activity from the emission coefficient storage unit. The emission coefficient presentation unit can present the read-out emission coefficient. The second business entity is one or more other suppliers.

[0029] The emission coefficient presentation unit may identify other suppliers having similar scale information related to the activity. In this case, the scale information stored in the scale information storage unit includes sales and / or asset amounts by activity (e.g., by product, service, etc.). The emission coefficient presentation unit can read out from the emission coefficient storage unit other suppliers having the same or similar scale information related to the activity and the emission coefficient corresponding to the activity.

[0030] The information acquisition unit constituting the acquisition unit 250 acquires first information and second information. The first information is information including at least information related to greenhouse gas emissions by business entities constituting the upstream or downstream of the supply chain. The first information is, for example, a report in which information related to emissions is described (hereinafter, an emission report), a group of information in which multiple external findings are indicated, etc. The first information is also referred to as emission information. Examples of the emission report include a TCFD report, a CDP report (a response to a CDP questionnaire), a sustainability report, and a periodic report based on the Energy Conservation Act, but may be other reports such as a securities report. The information related to greenhouse gas emissions is, for example, information indicating the amount of emissions, information on the contents to be described in an emission report, information in which internal or external findings are indicated, etc.

[0031] The second information is information that indicates at least the attributes of the business entity (supplier). The second information includes, for example, scale information, attribute information of each supplier, information on the type of business, information on greenhouse gas emissions registration, information on future targets, industry information as attribute information of suppliers, information on trends in the industry, customer information, information on mapping of accounting items and emission intensity, information on guidelines related to the GHG Protocol, information on internal and external knowledge such as mapping of accounting items and emission coefficients accumulated in the past, and various other information. The second information may be a variable.

[0032] The method of the information acquisition unit acquiring these pieces of information includes a method of acquiring information input from one or more user terminals 100 and a method of the management server 200 acquiring information. In the case of the method of acquisition by the management server 200, the size information of the second business entity and information related to emissions are acquired based on the attribute information corresponding to the first business entity. For example, when the attribute information corresponding to the first business entity is transportation, the size information of the second business entity, which is transportation information, and information related to emissions are acquired. The information related to emissions (also referred to as information by type related to emissions) is, for example, information on greenhouse gas emissions, information indicating scopes 1 to 3, information indicating categories 1 to 15 of scope 3, and the like. The information acquisition unit and the activity amount acquisition unit may be one acquisition unit instead of separate acquisition units. Furthermore, the information related to emissions may be information on the contents to be described in an emission report, and the like.

[0033] The information generating unit constituting the generating unit 260 reads out second information (e.g., transportation information, which is the attribute information of the company) corresponding to the first business entity from the scale information storage unit, refers to the scale information storage unit, identifies a second business entity (e.g., another transportation supplier) corresponding to the second information that matches or is similar to the read out second information, reads out information related to emissions (e.g., information on the contents to be described in the TCFD report) corresponding to the identified second business entity from the scale information storage unit, and generates third information (e.g., a TCFD report reflecting the review results or a new TCFD report) different from the first information and the second information based on the read out information related to emissions. The third information is information that reflects the contents to be described in the emission report of the second business entity. In other words, the third information is information created based on the emission reports of other suppliers, and the management server 200 stores the emission reports of multiple other suppliers and generates the third information based on these pieces of information. In detail, the emission reports of multiple other suppliers are analyzed by the generating unit 260, and the third information is generated based on the analysis results. In addition, an analysis unit 280 as a function different from the generation unit 260 may be provided separately from the generation unit 260, the analysis unit 280 may analyze emission reports of multiple other suppliers, and the generation unit 260 may generate the third information based on the analysis results of the analysis unit 280. The subject of the analysis is not limited to the emission reports of other suppliers. The emission amount and the carbon tax of the embodiment of the fourth function may be analyzed to present the future emission amount and the carbon tax. The third information to be generated may be the emission report itself, and in this case, the information generation unit creates a new emission report. Furthermore, the third information may be information on the emission amount of the second business entity, information indicating scopes 1 to 3, information suggesting categories 1 to 15 of scope 3, etc.

[0034] The information generating unit reads out information (e.g., information on a question) corresponding to the first business entity from the scale information storage unit, refers to the scale information storage unit, identifies a second business entity (e.g., another supplier) corresponding to second information that is identical or similar to the read information corresponding to the first business entity, reads out information related to emissions (e.g., information on external knowledge) corresponding to the identified second business entity from the scale information storage unit, and generates third information (e.g., information on a response to a question) different from the first information and the second information based on the read information related to emissions. Note that the information generating unit may be configured to identify a second business entity (e.g., another supplier) corresponding to second information that is identical or similar to the information corresponding to the first business entity, read out combined information (e.g., information combining internal knowledge and external knowledge) that combines information related to emissions corresponding to the identified second business entity with information related to emissions corresponding to the first business entity from the scale information storage unit, and generate third information (e.g., information on a response to a question) different from the first information and the second information based on the read information related to emissions. The third information is information of an answer to a question, such as information indicating a scope, information indicating a category, information indicating a reason, etc. Furthermore, the third information may be information of a suggestion to the question. Furthermore, the third information may be an answer to the question and a suggestion to the question.

[0035] The information corresponding to the first business entity may be, for example, information in which a user maps a scope and / or category for an accounting item and an emission coefficient. In this case, the information generating unit reads out information corresponding to the first business entity (for example, information in which a scope and / or category for an accounting item and an emission coefficient are mapped) from the scale information storage unit, refers to the scale information storage unit, identifies a second business entity (for example, another supplier) corresponding to second information that is identical or similar to the read information corresponding to the first business entity, reads out information related to emissions (for example, information on external knowledge) corresponding to the identified second business entity from the scale information storage unit, and generates third information (for example, knowledge on the mapped information) different from the first information and the second information based on the read information related to emissions. The third information is information in which an accounting item and an emission intensity are mapped, information in which a scope and / or category and an emission coefficient are mapped, etc.

[0036] The information conversion unit constituting the generation unit 260 converts unit information (e.g., kilowatts) in a certain type of emission report (first information) into unit information (e.g., gigajoules) in another type of emission report (third information). When the information conversion unit determines that the type of emission report as the first information is different from the type of emission report as the third information, it executes a process of converting the unit information. However, when the converted unit information is designated by the user, it may execute a process of setting the designated unit information. When the unit information is designated by the user in this way, the information presentation unit described later presents (notifies) the user that the designated unit information does not match the third information. In this case, the information presentation unit presents unit information that matches the third information. Then, when the user instructs that the information is to be converted into the presented unit information, the information conversion unit converts into unit information corresponding to the third information. Although an example has been shown in which the information conversion unit judges whether the types of emission reports are different or not, an information judgment unit different from the information conversion unit may be provided to make the judgment. The information determination unit constitutes the generation unit 260, but may be a determination unit or the like different from the generation unit 260. The unit information may be currency unit information such as yen to dollars.

[0037] The information presentation unit constituting the output unit 240 presents the third information. The information presentation unit transmits the third information to be presented to the user terminal 100, and displays the third information on the user terminal 100. The third information transmitted to the user terminal 100 can be edited and processed on the user terminal 100. The information presentation unit will be described as having a different function from the emission coefficient presentation unit, but may have the same function, in which case it will be referred to as the presentation unit.

[0038] An information input unit constituting the input unit 220 inputs information corresponding to the first business entity input from the user terminal 100 to the management server 200. The management server 200 acquires the input information corresponding to the first business entity by an information acquisition unit. The information corresponding to the first business entity is, for example, information of an inquiry such as a question.

[0039] Also, when the user inputs information on the release report created by the user's company to the management server 200 via the user terminal 100, the review result (third information) may be displayed. In this case, the release report created by the user's company is the first information. Also, it is preferable that the release report created by the user's company includes the second information. The management server 200 generates a review result, which is information on the description items required for the user's release report and information on the contents to be added or corrected in the release report, based on the acquired release reports of multiple other suppliers, and presents the release report reflecting the review result. The method of inputting the release report information to the management server 200 may be to input character information via OCR using the input unit 220. In this way, multiple types of release reports can be easily acquired.

[0040] When the information on the discharge report is input to the management server 200, the information written on the vehicle inspection certificate may be input as character information by the input unit 220 as character information to be read by the OCR. The information written on the vehicle inspection certificate is the vehicle registration number, registration date / issue date, first registration date, type of vehicle, purpose (passenger or cargo type, second information), personal or business use (personal or business use, second information), shape of the vehicle (van, station wagon, etc., second information), vehicle name, passenger capacity, maximum load, vehicle weight, total vehicle weight, vehicle number, length, width, height, front axle load, front and rear axle load, rear axle load, model, engine model, total displacement or rated output (combined with engine model as first information), type of fuel (gasoline, diesel, etc., first information), model designation number, classification number, vehicle ID, owner's name or title, owner's address, user's name or title, user's address, expiration date, etc. This information can be imported into the vehicle master of the information processing system. The vehicle master data can be automatically imported by matching vehicle master data items with vehicle inspection certificate data items. By inputting vehicle inspection certificate data in this way, it can be easily imported as vehicle master data into the information processing system. The vehicle master data can be output to logistics companies, who can use this vehicle master data within the logistics company as a vehicle management ledger.

[0041] When the information on the vehicle inspection certificate is inputted by OCR, an information processing system, an information processing method executed by a computer, and a program for causing a computer to execute the information processing system can be provided (P060) having the following configuration. The information processing system includes an acquisition unit that acquires first information including at least information related to greenhouse gas emissions by business entities that constitute the upstream or downstream of the supply chain (e.g., information on the amount of emissions and information on gasoline or diesel as the type of fuel), and second information indicating at least the attributes of the business entities (e.g., information on the vehicle inspection certificate for personal use or business use), an information setting unit (information generating unit that generates) that sets third information (e.g., emission intensity) based on information related to the emissions of the second business entity that matches or is similar to the second information corresponding to the first business entity, and a presentation unit that presents the third information. In the case of a logistics business entity that is composed of a primary business entity and a subcontractor, the emission intensity as the third information is the emission intensity reported by the subcontractor to the primary business entity. The information setting unit constitutes the generation unit 260. Instead of the information setting unit, the information generating unit may generate the third information, or the information identifying unit may identify the third information. Even if the information identifying unit identifies the third information, it is preferable that the identified information is presented by the presenting unit.

[0042] When the acquisition unit 250 acquires an emission report or when the first information is an emission report, it is preferable that the information setting unit sets an emission basic unit based on the type of the emission report.

[0043] The information to be recorded on the vehicle inspection certificate may be added to the vehicle inspection certificate in the form of a barcode, a QR code (registered trademark), or an IC tag. In the case of a barcode, a QR code (registered trademark), or an IC tag, it is preferable to read the barcode, the QR code (registered trademark), or the IC tag using the user terminal 100 and input the information using the input unit 220.

[0044] In addition, when an IC tag is used, the IC tag is read at the point (time) where the driving starts and the point (time) where the driving ends when calculating the driving record, and this information is input by the input unit 220, so that the driving record can be stored (registered) in the storage unit 230. The calculation unit 210 can calculate the greenhouse gas emission amount using the driving record. In addition, if the user is a logistics company or the like, the driving record can also be used as the transportation record. When a user such as a logistics company uses the driving record as the transportation record, the information identification unit can identify the emission amount based on specific information such as the shipper information and the cargo information (the name of the cargo for transportation and delivery). For example, the original receiving company can search for specific information indicating the shipper A or the shipper B as the shipper information, and the emission amount per shipper A or the shipper B can be identified and presented as the search result. The information identification unit can identify the shipper from the shipper information, such as the owner's name or title, the owner's address, the user's name or title, and the user's address in the vehicle master.

[0045] Also, when the user inputs information such as receipts and estimates acquired by the user to the management server 200 through the user terminal 100, an emission coefficient (third information) may be displayed. The identification of the emission coefficient will be described later in the ninth function. In this case, the information such as the acquired receipts and estimates is the first information. Also, it is preferable that the information such as the acquired receipts and estimates includes the second information. The management server 200 classifies the acquired multiple receipts and estimates into items such as material costs, transportation costs, and labor costs, identifies the emission coefficients corresponding to the classified items, and presents the emission coefficients. The method of inputting information such as receipts and estimates to the management server 200 may be such that character information via OCR is input through the input unit 220. In this way, multiple types of information such as receipts and estimates can be easily acquired.

[0046] When information such as receipts and estimates is input using OCR, an information processing system, an information processing method executed by a computer, and a program for causing a computer to execute the information processing system can be provided, which are configured as follows: An acquisition unit that acquires first information (e.g., information such as receipts and estimates) including at least information related to greenhouse gas emissions by business entities constituting the upstream or downstream of the supply chain, and second information (e.g., information on items such as material costs, transportation costs, and labor costs) indicating at least the attributes of the business entities, an information setting unit (information generation unit that generates) that sets third information (e.g., an emission coefficient) based on information related to the emissions of a second business entity that matches or is similar to the second information corresponding to the first business entity, and a presentation unit that presents the third information.

[0047] <Operation> FIG. 4 is a diagram for explaining the process (operation 4) of presenting an emission coefficient of the information processing system.

[0048] The management server 200 acquires the activity amount of the corresponding supplier for each activity (e.g., each raw material procured by the company) for which emissions are to be calculated (S701). For example, the management server 200 may transmit a request to the supplier and receive the activity amount from the supplier's user terminal 100, may receive the activity amount from the company's user terminal 100, or may acquire the activity amount from the supplier's business system or the like. The management server 200 acquires the emission coefficient corresponding to the supplier and the activity from the emission coefficient storage unit (S702).

[0049] If the emission coefficient cannot be acquired (S703: NO), the management server 200 reads out the scale information corresponding to the supplier from the scale information storage unit (S704). The management server 200 may acquire the scale information (sales amount and / or asset amount) related to the activity corresponding to the supplier and the activity. The management server 200 identifies other suppliers similar to the acquired scale information from the scale information storage unit (S705), and reads out the emission coefficient corresponding to the other supplier and activity from the emission coefficient storage unit (S706). If the emission coefficient corresponding to the other supplier and activity is not registered, the management server 200 can repeat the process from S705. The management server 200 transmits the read out emission coefficient to the user terminal 100 (S707), and accepts the designation of the emission coefficient to be used from the user terminal 100 (S708).

[0050] The management server 200 can calculate the emission amount by multiplying the emission coefficient and the amount of activity (S709).

[0051] In this way, for a supplier whose emission factor is unknown, the emission factors of other suppliers of a similar scale can be presented to the user. The user can use the emission factors of other similar suppliers related to their own company, instead of secondary data.

[0052] In the embodiment of the third function, other suppliers whose scale information is similar to that of the supplier are identified, but other suppliers whose industry is the same or similar to that of the supplier and whose scale (sales, asset value) is the same or similar to that of the supplier may be identified. In this case, the scale information may include the industry of the business entity, or an industry storage unit that stores the industry of the business entity may be provided.

[0053] FIG. 5 is a diagram for explaining the process 1 (operation 5) of generating and presenting the third information.

[0054] The management server 200 acquires first information including at least information related to greenhouse gas emissions by business entities that constitute the upstream or downstream of the supply chain for each activity (e.g., each of raw materials procured by the company) for which emissions are to be calculated (S801). The management server 200 also acquires second information indicating at least attributes of the business entities (S802). Next, the management server 200 stores the acquired first information and second information in the scale information storage unit (S803). Next, the management server 200 reads out second information corresponding to the first business entity from the scale information storage unit (S804). Next, the management server 200 refers to the scale information storage unit to identify a second business entity corresponding to second information that is identical or similar to the read out second information (S805). Next, the management server 200 reads out information related to emissions corresponding to the identified second business entity from the scale information storage unit, and generates third information based on the read out information related to emissions (S806). Next, the management server 200 presents the third information (S807).

[0055] In operation 5, the management server 200 may calculate information related to greenhouse gas emissions by business entities that are upstream or downstream of the supply chain. This calculation is performed by the emission amount calculation unit. Also, operations 4 and 5 may be combined.

[0056] An increasing number of companies are disclosing information related to greenhouse gas emissions. Specialized knowledge and know-how are required to prepare an emissions report, but businesses (especially small and medium-sized enterprises) that do not have this often do not know what type of information to compile or what to include when preparing an emissions report, and are forced to rely on consultants who are knowledgeable in this field. Also, while it is possible for a company to prepare its own emissions report by referencing emissions reports disclosed by other companies in the same industry, there is a problem in that it takes a great deal of time to aggregate and organize the information that is necessary for the company from the referenced emissions reports.

[0057] According to operation 5 (P044), an information processing system can be provided that includes: an acquisition unit that acquires first information (e.g., TCFD report) including information related to greenhouse gas emissions by business entities constituting the upstream or downstream of the supply chain (e.g., information of the contents to be described in a TCFD report); second information indicating the attributes of the business entities (e.g., transportation information as attribute information of a supplier); an information generation unit that generates third information (e.g., a new TCFD report, a TCFD report reflecting review results) based on information related to emissions of a second business entity (another supplier) that matches or is similar to the second information (transportation information) corresponding to the first business entity; and a presentation unit that presents the third information. Note that the first information and the third information are not limited to the same type of report, and may be different types of reports. For example, a securities report may be the first information, and a CDP report may be the third information. In this way, a report different from a certain type of report can be easily created from a certain type of report.

[0058] In this way, by simply inputting the prerequisites such as the first information and the second information, an emission report format suited to the user is provided, so even businesses without specialized knowledge or know-how can easily create emission reports. In addition, the information processing system reviews the reports based on many published emission reports, which improves the accuracy of the emission reports created in-house.

[0059] According to operation 5 (P063), an information processing system can be provided that includes: an acquisition unit that acquires first information (e.g., CDP report) including information related to greenhouse gas emissions by business entities constituting the upstream or downstream of the supply chain (e.g., information on the contents to be included in the CDP report); second information indicating the attributes of the business entities (e.g., corporate information such as industry, sales, and number of employees as attribute information of the supplier); an information generation unit that generates third information (e.g., a new CDP report, a CDP report reflecting the review results) based on information related to emissions of a second business entity (other supplier) that matches or is similar to the second information (corporate information) corresponding to the first business entity (e.g., information on the contents to be included in a highly rated CDP report); and a presentation unit that presents the third information. The information processing system also includes an input unit that inputs instruction information (e.g., information on questions, instruction information for the information generation unit), and an information generation unit that generates new information (e.g., answers to questions, questionnaires, new email addresses, codes) based on the instruction information. The analysis unit 280 may be provided to perform evaluation of the CDP reports acquired by the acquisition unit 250 and acquire reports with high scores. The scores of the previous year may be referred to and analyzed to sort the reports in descending order of scores, and the top 10 (not limited to the top 10) reports may be acquired, or the scores of multiple years, such as the previous year and the year before last, may be referred to and analyzed to acquire the top 10 reports with the highest average scores, or when the scores of multiple years are referred to and analyzed, the latest score may be used preferentially. The analysis unit 280 may also machine-learn the information acquired by the acquisition unit 250 to generate the best answer. In this way, the top CDP reports of the industry indicated by the attribute are analyzed and presented, so that an emission report with a high score (for example, a CDP report) can be created and the report can be used for climate change strategies, etc. After the CDP report is submitted once a year, the submitted CDP report may be automatically acquired and machine-learned. The CDP report may also be acquired by using the user terminal 100 to specify a CDP report to be individually referenced by the user.

[0060] FIG. 6 is a diagram for explaining a process 2 (operation 6) of generating and presenting the third information.

[0061] The management server 200 acquires first information including at least information related to greenhouse gas emissions by business entities that constitute the upstream or downstream of the supply chain for each activity (e.g., each of the raw materials procured by the company) for which emissions are to be calculated (S901). The management server 200 also acquires second information indicating at least attributes of the business entities (S902). Next, the management server 200 stores the acquired first information and second information in a scale information storage unit (S903). Next, the management server 200 reads out second information corresponding to the first business entity from the scale information storage unit (S904). Next, the management server 200 acquires information corresponding to the first business entity (S905). Acquiring information corresponding to the first business entity means storing information corresponding to the first business entity input from the user terminal 100 in a storage unit (e.g., a scale information storage unit) and acquiring the stored information by reading it out. Next, the management server 200 refers to the scale information storage unit and identifies a second business entity corresponding to the second information that is identical or similar to the read first business entity (S906). Next, the management server 200 reads out emission-related information corresponding to the identified second business entity from the scale information storage unit, and generates third information based on the read emission-related information (S907). Next, the management server 200 presents the third information (S908).

[0062] In operation 6, the management server 200 may calculate information related to greenhouse gas emissions by business entities that are upstream or downstream of the supply chain. This calculation is performed by the emission amount calculation unit. Operation 6 may also be combined with operations 4 and 2.

[0063] Companies are using FAQs and chatbots as a way to reduce the amount of work required to respond to customer questions (inquiries). However, because conventional FAQs and chatbots can only respond to pre-defined patterns, they may not be able to provide the answers or solutions that questioners are truly looking for.

[0064] According to operation 6 (P045), an information processing system can be provided that includes: an acquisition unit that acquires first information (e.g., group information of internal knowledge) including at least information (e.g., internal knowledge) related to greenhouse gas emissions by a plurality of business entities constituting the upstream or downstream of the supply chain; second information (e.g., information of external knowledge such as customer information) indicating at least attributes of the business entities; a storage unit (e.g., a scale information storage unit) that stores the acquired first information and second information; an input unit that inputs information (e.g., information of a question) corresponding to the first business entity; an information generation unit that generates third information (e.g., information of an answer to the question) based on information related to emissions by a second business entity (other supplier) that matches or is similar to the information corresponding to the first business entity; and a presentation unit that presents the third information. The input unit includes a voice input unit that enables voice input by a microphone or the like. The voice input unit starts voice input based on detection of pressing of a button to start voice input. After starting voice input, the voice input unit ends the voice input based on detecting the pressing of the voice input start button again. Note that the voice input may be ended based on detecting the pressing of the voice input end button. The voice input may also be ended based on an interruption of the voice, or based on the passage of a predetermined time from the start of the voice input. The information input from the voice input unit is acquired by the acquisition unit and stored in the storage unit.

[0065] Moreover, according to operation 6 (P047), it is possible to provide an information processing system including an acquisition unit that acquires emission information (e.g., group information of information indicating scope) including at least type information (e.g., information indicating scope) regarding greenhouse gas emissions by business entities constituting the upstream or downstream of the supply chain, a storage unit (e.g., scale information storage unit) that stores the acquired emission information, an input unit that inputs information corresponding to the first business entity (e.g., question information), an information generation unit that generates type information corresponding to the first business entity (e.g., information indicating scope, information indicating category, and information on the reason as information of an answer to a question) based on type information regarding emissions that matches or is similar to the information corresponding to the first business entity (e.g., information indicating scope, information indicating category, and information on the reason), and a presentation unit that presents type information corresponding to the first business entity. Note that type information corresponding to the first business entity is also third information.

[0066] By combining publicly available external expert knowledge in this way with internal knowledge such as customer data accumulated within the company, it is possible to extract the answers and solutions that the customer asking the question is truly looking for, making it possible to automatically respond to inquiries with high accuracy.

[0067] In addition, the following issues have arisen. Under the Energy Conservation Act, companies and organizations designated as specific businesses are required to submit regular reports on their energy usage, etc. In addition to these regular reports, CDP (an international environmental non-profit organization) requires companies and organizations to disclose information on their environmental impact, and companies and organizations voluntarily respond to the "CDP Environmental Questionnaire" to demonstrate to the public that they are responding to the disclosure of climate change-related information. Companies and organizations report their energy usage, etc. to the public by submitting regular reports under the Energy Conservation Act and responding to the CDP questionnaire. However, since the emission intensity (kilowatts) used in regular reports under the Energy Conservation Act and the emission intensity (gigajoules) used in responses to the CDP questionnaire are different, companies and organizations that are the reporting entities have to convert the emission intensity of the calculated carbon dioxide emission data from that used in regular reports under the Energy Conservation Act to that used in the CDP questionnaire. The same applies to the conversion from the emission intensity for the CDP questionnaire to that used in regular reports under the Energy Conservation Act, and the conversion from the emission intensity of one emission report to that of another emission report. This means that reporting companies and organizations are faced with a huge amount of work to convert emissions into the emissions intensity units required for different emissions reports.

[0068] According to operation 6 (P052), an information processing system can be provided, which is characterized by comprising: a first information (e.g., an emission report based on the Energy Conservation Law) including at least information related to greenhouse gas emissions by business entities constituting the upstream or downstream of the supply chain; an acquisition unit that acquires second information indicating at least attributes of the business entities; an information generation unit that generates third information (e.g., a CDP report) based on information related to emissions by a second business entity that matches or is similar to the second information corresponding to the first business entity; an information conversion unit that converts unit information (e.g., kilowatts) in the first information into unit information (e.g., gigajoules) in the third information; and a presentation unit that presents the third information. Note that when the first information is a certain type of emission report (e.g., an emission report based on the Energy Conservation Law), the third information is preferably a different type of emission report (e.g., a CDP report) from the certain type, but the third information may also be a new emission report of a certain type (e.g., a new emission report based on the Energy Conservation Law).

[0069] In this way, the work of converting an emission intensity unit of one emission report to an emission intensity unit of another emission report can be automated, thereby making the work of converting emission intensity units more efficient. In particular, the work of converting an emission intensity unit (kilowatts) used in periodic reports based on the Energy Conservation Act to an emission intensity unit (gigajoules) used in responses to CDP questionnaires can be automated, making it possible to make responses to CDP questionnaires more efficient.

[0070] FIG. 7 is a diagram for explaining a process 3 (operation 7) of generating and presenting third information (new information).

[0071] The management server 200 acquires emission information including at least information related to greenhouse gas emissions by business entities that constitute the upstream or downstream of the supply chain for each activity (for example, each of the raw materials procured by the company) for which emissions are to be calculated (S1001). The management server 200 also acquires second information indicating at least attributes of the business entities (S1002). Next, the management server 200 stores the acquired emission information and the second information in the storage unit 230 (S1003). Next, the management server 200 judges whether or not instruction information has been input (S1004). The input of instruction information means that the user inputs instruction information from the user terminal 100. Examples of the input method are character input and voice input. If there is no instruction input (S1004: NO), the management server 200 loops the process of S1004 until instruction information is input. On the other hand, if there is (was) an instruction input (S1004: YES), the management server 200 acquires instruction information (S1005). The instruction information input in S1004 is stored in the storage unit 230, and in S1005, this stored information is read and acquired. Next, the management server 200 generates third information (new information) based on the instruction information (S1006). Next, the management server 200 presents the third information (S1007).

[0072] Operation 7 (P064) is an information processing system characterized by having an acquisition unit that acquires emission information (e.g., a CDP report) including at least information related to greenhouse gas emissions by business entities upstream or downstream in the supply chain (e.g., information to be included in a CDP report), a memory unit that stores the acquired emission information, an input unit that inputs instruction information (information corresponding to a first business entity, e.g., question information, instruction information for the information generation unit), and an information generation unit that generates new information (e.g., a questionnaire, a new email address, a code) based on the instruction information (information corresponding to the first business entity) (information related to emissions that matches or is similar to part of it).

[0073] For example, the Generation Unit (Information Generation Unit) refers to and uses the acquired information on the content to be included in the CDP report based on the instruction information (Please create a questionnaire for Supplier A and Supplier B regarding the information to be included in the CDP report. The questionnaire content should be for obtaining information regarding ●●●, ▲▲▲, and XXX. Please send the created questionnaire to Supplier A and Supplier B on mm / dd / yyyy.), and generates a questionnaire (new information) to confirm the information to be included in the CDP report from that information. The Generation Unit generates new information based on information related to emissions (information on the content to be included in the CDP report) that matches or is similar to part of the instruction information (Please create a questionnaire for the information to be included in the CDP report). "Partly matches or is similar" means that part of the instruction information and part of the information on the content to be included in the CDP report are the same or related.

[0074] Furthermore, the generating unit refers to and generates a new email address (user C@zb.jp) from the information of the email address indicating user A already stored in the storage unit 230 (user A@zb.jp and user B@zb.jp) based on the instruction information (please register a new user with the user name C). The generating unit generates new information based on information stored in the storage unit 230 that matches or is similar to a part of the instruction information (please register a new user with the user name C) (user A@zb.jp and user B@zb.jp as information related to discharge). "Matching or similar to a part" indicates that a part of the instruction information and a part of the user information stored in the storage unit 230 are the same or related. Here, an example is shown in which the email domain names of the users match.

[0075] The generating unit also generates a code (program) for executing the instruction content based on the instruction information (please delete the data entered on mm / dd / yyyy. Please delete all data entered one month before today.), and for changing (adding, deleting, correcting, etc.) the information related to discharge (information entered on mm / dd / yyyy and information entered one month before today.). The generating unit generates a code (program) for deleting the information entered in January based on information stored in the storage unit 230 that matches or is similar to a part of the instruction information (please delete the data entered on mm / dd / yyyy. Please delete all data entered one month before today.). In this way, when the instruction information input from the input unit is an instruction in natural language, the generating unit (information generating unit, generating unit 260) generates the instruction as computer language, that is, code or program, as new information. Based on the instruction information, the analysis unit 280 analyzes the information related to discharge stored in the storage unit 230, and based on the analysis results of the analysis unit 280, the generation unit generates new information.

[0076] The management server 200 also includes an execution unit 290 that executes a code (program) as new information. The execution unit 290 executes a predetermined process based on the code as the generated new information. For example, when the generation unit generates a code for deleting the information input on yyyy, mm, dd, the execution unit 290 executes the code, and performs a process of searching, acquiring, and deleting the information input on yyyy, mm, dd, and the like. When the instruction information is an instruction to calculate data such as "calculate the emission amount of the data input on yyyy, mm, dd, and the like," the generation unit generates a code for calculating the information input on yyyy, mm, dd, and the execution unit 290 executes the code, and performs a process of calculating and presenting the emission amount of the information input on yyyy, mm, dd, and the like. Note that the calculation unit 210 may execute the process instead of the execution unit 290. The presentation process may be performed by the output unit 240. Furthermore, when the instruction information is an instruction to visualize data such as "create a graph of data input on yyyy, mm, dd", the generation unit generates code to graph the information input on yyyy, mm, dd, and the execution unit 290 executes the code, creates a graph of the information input on yyyy, mm, dd, and presents it. The presentation process may be performed by the output unit 240. In order to execute the input data deletion process, emission amount calculation process based on the input data, and graph creation process of the input data, the data input on yyyy, mm, dd, may be searched and acquired from external software that has been linked via the API linking function.

[0077] 8 is a diagram for explaining the process 4 (operation 8) of generating and presenting the third information (new information). Note that operation 8 (P064) is an operation of generating a code as the new information shown in operation 7.

[0078] The management server 200 acquires emission information including at least information related to greenhouse gas emissions by business entities that constitute the upstream or downstream of the supply chain for each activity (for example, each of the raw materials procured by the company) for which emissions are to be calculated (S1101). The management server 200 also acquires second information indicating at least attributes of the business entities (S1102). Next, the management server 200 stores the acquired emission information and the second information in the storage unit 230 (S1103). Next, the management server 200 judges whether or not instruction information has been input (S1104). The input of instruction information means that the user inputs instruction information from the user terminal 100. Examples of the input method are character input and voice input. If there is no instruction input (S1104: NO), the management server 200 loops the process of S1004 until instruction information is input. On the other hand, if there is (was) an instruction input (S1104: YES), the management server 200 acquires instruction information (S1105). The instruction information input in S1104 is stored in the storage unit 230, and in S1105, this stored information is read and acquired. Next, the management server 200 generates a code for executing the contents of the instruction as third information (new information) based on the instruction information (S1106). Next, the management server 200 executes a predetermined process based on the generated code (S1107). Next, the management server 200 presents the result of the predetermined process executed based on the code (S1108).

[0079] The second information may be information indicating customer attributes. The information indicating customer attributes is, for example, information such as industry, sales, sales by business, market segment, number of employees, business region, business content, products and services sold, manufactured and provided. The second information may be information on sustainability initiatives. The information on sustainability initiatives is, for example, information such as goals related to climate change, internal strategies and structures, and numerical targets. Furthermore, the second information may be information on external factors such as competitive information and information related to customer trends. These pieces of information may be the first information. In this way, by providing many types of first information and second information, it is possible to easily create the third information.

[0080] The input unit 220, the output unit 240, the acquisition unit 250, the calculation unit 210, the generation unit 260, the estimation unit 270, the analysis unit 280, and the execution unit 290 of the management server 200 may be executed by a system (mechanical system) having an artificial intelligence that learns by itself. In addition, this system may be tuned to learn acquired information such as information indicating a scope, information indicating a category, and information indicating a reason. In this way, when documents published by the WBCSD and the Ministry of the Environment and an internal customer database are loaded into the management server 200 and a customer inputs a prerequisite (industry, product, service, etc.), an optimal answer for the customer is generated from a group of learned information and an answer is automatically given. It is also possible to load information in multiple languages. In addition, questions can be input and answers can be given in multiple languages. By making the system multilingual, anyone can easily obtain the information they want to know.

[0081] <Disclosures> The third function also includes the following configuration: [Item C1 (P030)] an emission coefficient storage unit that stores, for each business entity, an emission coefficient for calculating greenhouse gas emissions; a scale information storage unit that stores, for each business entity, scale information indicating at least one of sales scale and asset scale; an acquisition unit that acquires an activity amount of a first business entity that is upstream or downstream in a supply chain; an emission calculation unit that calculates the emission amount of the first business entity by multiplying the activity amount by the emission coefficient corresponding to the first business entity; and a presentation unit that, when the emission coefficient corresponding to the first business entity is not registered, reads out the scale information corresponding to the first business entity from the scale information storage unit, refers to the scale information storage unit, identifies a second business entity corresponding to the scale information that matches or is similar to the read-out scale information, reads out the emission coefficient corresponding to the identified second business entity from the emission coefficient storage unit, and presents the read-out emission coefficient. Item C1 includes a base information memory unit that stores information identifying the location of each base for each business entity that emits greenhouse gases (hereinafter, base), an activity amount memory unit that stores the amount of activity by the emitter for each base, an activity amount input unit that accepts input of location information and activity amount of the mobile device from the user's mobile device, a base identification unit that refers to the base information memory unit and identifies a base based on the location information, and a registration unit that registers the input activity amount in the activity amount memory unit in association with the identified base. [Item C2] An information processing system according to item C1, characterized in that the sales scale and the asset scale are numerical values, and the presentation unit identifies the second business entity corresponding to the scale information stored in the scale information storage unit whose difference from the read-out scale information is within a predetermined range. [Item C3] The information processing system according to item C1, wherein the emission coefficient storage unit stores the emission coefficient in association with the business entity and the activity by the business entity, the scale information storage unit stores the scale information in association with the activity, the emission calculation unit acquires the emission coefficient corresponding to the first business entity and the activity related to the activity amount, and the presentation unit refers to the scale information storage unit to identify a second business entity corresponding to the scale information that matches or is similar to the scale information of the first business entity and the activity, and reads out the emission coefficient corresponding to the identified second business entity and the activity from the emission coefficient storage unit. [Item C4 (P044)] An information processing system comprising: an acquisition unit that acquires first information including at least information related to greenhouse gas emissions by business entities that are upstream or downstream of a supply chain, second information indicating at least attributes of the business entities, an information generation unit that generates third information based on information related to the emissions by a second business entity that matches or is similar to the second information corresponding to the first business entity, and a presentation unit that presents the third information. Item C4 comprises a base information storage unit that stores information identifying a base location for each business entity (hereinafter, base) that is an emitter of greenhouse gas, an activity amount storage unit that stores an activity amount by the emitter for each base, an activity amount input unit that accepts input of the position information and activity amount of the mobile terminal from a user's mobile terminal, a base identification unit that refers to the base information storage unit and identifies the base based on the position information, and a registration unit that registers the input activity amount in the activity amount storage unit in association with the identified base. [Item C5 (P045)] An information processing system comprising: an acquisition unit that acquires first information including at least information related to greenhouse gas emissions by business entities that constitute an upstream or downstream of a supply chain, and second information indicating at least attributes of the business entities, a storage unit that stores the acquired first information and the second information, an input unit that inputs information corresponding to the first business entity, an information generation unit that generates third information based on information related to the emissions of a second business entity that matches or is similar to the information corresponding to the first business entity, and a presentation unit that presents the third information. Item C5 comprises a base information storage unit that stores information identifying a base location for each business entity (hereinafter, base) that is an emitter of greenhouse gas, an activity amount storage unit that stores an activity amount by the emitter for each base, an activity amount input unit that accepts input of the position information and activity amount of the mobile terminal from a user's mobile terminal, a base identification unit that refers to the base information storage unit and identifies a base based on the position information, and a registration unit that registers the input activity amount in the activity amount storage unit in association with the identified base. [Item C6 (P047)] An information processing system comprising: an acquisition unit that acquires emission information including at least information on a type of greenhouse gas emission by a business entity that is an upstream or downstream of a supply chain, a storage unit that stores the acquired emission information, an input unit that inputs information corresponding to a first business entity, an information generation unit that generates information on a type corresponding to the first business entity based on information on the type of emission that matches or is similar to the information corresponding to the first business entity, and a presentation unit that presents information on a type corresponding to the first business entity. Item C6 comprises a base information storage unit that stores information identifying a base location for each business entity (hereinafter, base) that is an emitter of greenhouse gas, an activity amount storage unit that stores an activity amount by the emitter for each base, an activity amount input unit that accepts input of position information and activity amount of a mobile terminal from a user's mobile terminal, a base identification unit that refers to the base information storage unit and identifies a base based on the position information, and a registration unit that registers the input activity amount in the activity amount storage unit in association with the identified base. [Item C7 (P054)] An information processing system, wherein the input unit of item C6 is an input unit for inputting information corresponding to the first business entity by voice. [Item C8 (P052)] An information processing system comprising: an acquisition unit that acquires first information including at least information related to greenhouse gas emissions by business entities that are upstream or downstream of a supply chain, second information indicating at least attributes of the business entities, an information generation unit that generates third information based on information related to the emissions of a second business entity that matches or is similar to the second information corresponding to the first business entity, an information conversion unit that converts unit information in the first information into unit information in the third information, and a presentation unit that presents the third information. Item C8 comprises a base information storage unit that stores information identifying a base location for each business entity (hereinafter, base) that is an emitter of greenhouse gas, an activity amount storage unit that stores an activity amount by the emitter for each base, an activity amount input unit that accepts input of the position information and activity amount of the mobile terminal from a user's mobile terminal, a base identification unit that refers to the base information storage unit and identifies a base based on the position information, and a registration unit that registers the input activity amount in the activity amount storage unit in association with the identified base. [Item C9 (P063)] An information processing system comprising: an acquisition unit that acquires first information including information related to greenhouse gas emissions by business entities constituting an upstream or downstream of a supply chain, second information indicating attributes of the business entities, an information generation unit that generates third information based on information related to emissions by a second business entity that matches or is similar to the second information corresponding to the first business entity, and a presentation unit that presents the third information. Item C9 comprises a base information storage unit that stores information identifying a base location for each business entity (hereinafter, base) that is an emitter of greenhouse gas, an activity amount storage unit that stores an activity amount by the emitter for each base, an activity amount input unit that accepts input of position information and activity amount of a mobile terminal from a user's mobile terminal, a base identification unit that refers to the base information storage unit and identifies a base based on the position information, and a registration unit that registers the input activity amount in the activity amount storage unit in association with the identified base. [Item C10] An information processing system according to item C9, further comprising an input unit for inputting instruction information, wherein the information generating unit is capable of generating new information based on the instruction information. [Item C11 (P064)] An information processing system comprising: an acquisition unit that acquires emission information including at least information related to greenhouse gas emissions by business entities that are upstream or downstream of a supply chain, a storage unit that stores the acquired emission information, an input unit that inputs instruction information, and an information generation unit that generates new information based on the instruction information. Item C11 comprises a base information storage unit that stores information identifying a base location for each business entity (hereinafter, base) that is an emitter of greenhouse gas, an activity amount storage unit that stores an activity amount by the emitter for each base, an activity amount input unit that accepts input of position information and activity amount of a mobile terminal from a user's mobile terminal, a base identification unit that refers to the base information storage unit and identifies a base based on the position information, and a registration unit that registers the input activity amount in the activity amount storage unit in association with the identified base. [Item C12] An information processing system according to item C11, comprising: an analysis unit that analyzes the discharge information stored in the memory unit based on the instruction information; and the information generation unit generates the new information based on the results of the analysis. [Item C13] The information processing system according to item C12, further comprising: an execution unit that executes a predetermined process based on the new information. [Item C14 (P044)] When X information other than greenhouse gas emissions (for example, emissions of hazardous substances in E2 or working hours in human rights DD) is the subject, it is as follows. The same can be said for items subordinate to this item. An information processing system comprising: an acquisition unit that acquires first information including at least information related to the X information of business entities constituting an upstream or downstream of a supply chain and second information indicating at least attributes of the business entities; an information generation unit that generates third information based on information related to the X information of a second business entity that matches or is similar to the second information corresponding to the first business entity; and a presentation unit that presents the third information. [Item C15 (P045)] An information processing system comprising: an acquisition unit that acquires first information including at least information related to X-information of a business entity that is upstream or downstream of a supply chain; and second information indicating at least an attribute of the business entity; a storage unit that stores the acquired first information and second information; an input unit that inputs information corresponding to the first business entity; an information generation unit that generates third information based on information related to X-information of a second business entity that matches or is similar to the information corresponding to the first business entity; and a presentation unit that presents the third information. [Item C16 (P047)] An information processing system comprising: an acquisition unit that acquires information on an X-information type of business entities that are upstream or downstream of a supply chain; a storage unit that stores the acquired information on the X-information type; an input unit that inputs information corresponding to a first business entity; an information generation unit that generates information on a type corresponding to the first business entity based on information on the X-information type that matches or is similar to information corresponding to the first business entity; and a presentation unit that presents the information on the type corresponding to the first business entity. [Item C17 (P052)] An information processing system comprising: an acquisition unit that acquires first information including at least information related to X-information of business entities that are upstream or downstream of a supply chain; second information indicating at least attributes of the business entities; an information generation unit that generates third information based on information related to the X-information of a second business entity that matches or is similar to the second information corresponding to the first business entity; an information conversion unit that converts unit information in the first information into unit information in the third information; and a presentation unit that presents the third information. [Item C18 (P063)] An information processing system comprising: an acquisition unit that acquires first information including information related to X-information of a business entity that is upstream or downstream of a supply chain and second information indicating attributes of the business entity; an information generation unit that generates third information based on information related to X-information of a second business entity that matches or is similar to the second information corresponding to the first business entity; and a presentation unit that presents the third information. [Item C19 (P064)] An information processing system comprising: an acquisition unit that acquires X-information of business entities that are upstream or downstream in a supply chain; a storage unit that stores the acquired X-information; an input unit that inputs instruction information; and an information generation unit that generates new information based on the instruction information.

[0082] <<Functions for generating and presenting various types of information (Example 1 of adding the third function)>> Additional example 1 of the third function is an example of a configuration that can be further applied to the embodiment of the third function described above. Note that additional example 1 of the third function is also an example of a configuration that can be further applied to the embodiments of the other functions. This function has a background technology in which greenhouse gas emissions such as carbon dioxide are calculated. This function has an issue in that it is required to grasp the greenhouse gas emission situation throughout the supply chain and to reduce greenhouse gas emissions. This function aims to provide technology that presents measures to support the reduction of greenhouse gas emissions.

[0083] 3 is a diagram illustrating an example of the software configuration of the management server 200 in the third function addition example 1. The management server 200 includes a storage unit 230 (information storage unit, scale information storage unit), an acquisition unit 250 (information acquisition unit), an input unit 220 (reception unit), a generation unit 260 (information generation unit), and an output unit 240.

[0084] The information acquisition section constituting the acquisition unit 250 is capable of acquiring emission information including at least information showing internal knowledge of business entities constituting the upstream or downstream of the supply chain. The emission information is the same as that of the third function. The information showing internal knowledge (hereinafter, internal knowledge information) is also the same as the information explained in the third function, but in this example, information related to the company's own greenhouse gas emissions is exemplified. The internal knowledge information is information stored in a memory unit of an information processing system used by the user.

[0085] The information storage unit (scale information storage unit) constituting the storage unit 230 stores the discharge information acquired by the information acquisition unit. The information storage unit is capable of storing the information described in the third function.

[0086] The receiving section constituting the input unit 220 is capable of receiving input of instruction information from a user. The instruction information is instruction information for the information generating section. The instruction information is information indicating an instruction such as "Please create a report using the internal knowledge information stored in the information storage section." The instruction information is information related to the internal knowledge information. The instruction information can be limited to an instruction for generating a report using the internal knowledge information.

[0087] The information generating unit constituting the generating unit 260 can generate a report based on the instruction information based on the inside knowledge information that matches or is similar to the instruction information. The information generating unit can generate a report based on the instruction information based on at least the instruction information and the inside knowledge information.

[0088] The information generating unit can generate a report (video report) using video (including audio). For example, the information generating unit generates a video report by adding audio to a multi-page report image. The multi-page report image exemplifies information based on the above-mentioned second information. In this example, the second information is information about the company, which is internal knowledge information. The report image includes images using internal knowledge information such as an image showing size information, an image showing attribute information, an image showing information about the industry type, an image showing information about greenhouse gas emission registration (scope, emission information by category), an image showing information about future targets, an image showing industry information, an image showing industry trend information, an image showing customer information, an image showing information in which accounting items and emission factors are mapped, an image showing information about guidelines related to the GHG Protocol, and an image showing information in which accounting items and emission factors accumulated in the past are mapped.

[0089] The report image may be an image showing the company's governance, an image showing the company's strategy, an image showing the company's risk management, an image showing the company's indicators and goals, etc. A video report may be created by generating a video from these images (at least two images). By including an image showing governance, the company's role in managing risks related to emission information can be explained. By including an image showing strategy, the risks related to emission information can be briefly explained as the company's short-term, medium-term, and long-term strategies by using images, etc. By including an image showing risk management, the company's process for managing risks related to emission information can be explained. By including an image showing indicators and goals, the indicators for evaluating risks related to emission information and the goals related to emission information can be explained. In addition, the company's actual Scope 1 to 3 emissions and the target Scope 1 to 3 emissions can be explained.

[0090] The information generating unit can generate a report using voice (voice report). The voice report is an example of a report that is only voice.

[0091] The output unit 240 outputs information so that the user can view the report generated by the generation unit via the user terminal 100. The output unit 240 can upload the video report to an SNS as a promotional video for the SNS.

[0092] Operation 7 (P064) is an information processing system characterized by having an acquisition unit that acquires emission information (e.g., a CDP report) including at least information related to greenhouse gas emissions by business entities upstream or downstream in the supply chain (e.g., information to be included in a CDP report), a memory unit that stores the acquired emission information, an input unit that inputs instruction information (information corresponding to a first business entity, e.g., question information, instruction information for the information generation unit), and an information generation unit that generates new information (e.g., a questionnaire, a new email address, a code) based on the instruction information (information corresponding to the first business entity) (information related to emissions that matches or is similar to part of it).

[0093] The operation in Additional Example 1 (P176) is an information processing system characterized by having an acquisition unit that acquires emission information including at least information related to greenhouse gas emissions by business entities upstream or downstream in the supply chain (e.g., internal knowledge information), a memory unit that stores the acquired emission information, a reception unit (input unit) that accepts (inputs) instruction information (instructions such as ``Please create a report using the internal knowledge information stored in the information memory unit''), a generation unit that generates a report (e.g., the company's report, the company's video report, the company's audio report) based on information related to emissions that matches or is similar to the instruction information, and an output unit that outputs the generated report to a user.

[0094] FIG. 9 is a diagram for explaining the operation of the third function addition example 1, and is a diagram for explaining the process 5 for generating and presenting the third information. The management server 200 acquires discharge information including at least information indicating internal knowledge by business entities constituting the upstream or downstream of the supply chain (S7201). Next, the management server 200 judges whether or not instruction information is input from the user (S7202). If instruction information is input from the user (YES in S7202), the management server 200 generates a company report based on the instruction information and internal knowledge information (S7203). On the other hand, if instruction information is not input from the user (NO in S7202), the management server 200 repeats the process of S7202 until instruction information is input. Note that if instruction information is not input from the user, this process may be terminated. Next, the management server 200 presents the generated company report to the user (S7204).

[0095] <Disclosures> Additional example 1 of the third function also includes the following configuration. [Item C11 (P064)] An information processing system comprising: an acquisition unit that acquires emission information including at least information related to greenhouse gas emissions by business entities upstream or downstream in a supply chain; a memory unit that stores the acquired emission information; an input unit that inputs instruction information; and an information generation unit that generates new information based on the instruction information. [Item C71 (P176)] An information processing system comprising: an acquisition unit that acquires emission information including at least information indicating internal knowledge of business entities constituting an upstream or downstream of a supply chain, a storage unit that stores the acquired emission information, a reception unit that can receive instruction information from a user, a generation unit that generates a report based on the instruction information based on information indicating the internal knowledge (identical or similar to the instruction information), and an output unit that can output the generated report. With this configuration, a company's own report can be generated using its own internal knowledge information. [Item C72] The information processing system according to item C71, characterized in that the instruction information is information for generating a report using internal knowledge information. By using the information for generating a report using the internal knowledge information as the instruction information in this manner, a company's own report based on its own internal knowledge information can be generated. [Item C73] The information processing system according to item C71, characterized in that the report is a video report. By generating the video report in this manner, it is possible to disclose the emission information by video on the company's homepage or the like. The video report is composed of a plurality of report images, and the plurality of report images are characterized in that they are at least two or more images among an image showing the company's governance, an image showing the company's strategy, an image showing the company's risk management, and an image showing the company's indicators and goals. By including an image showing governance, it is possible to explain the company's role in managing the risks related to the emission information. By including an image showing strategy, it is possible to concisely explain the risks related to the emission information as the company's short-term, medium-term, and long-term strategies by using images, etc. By including an image showing risk management, it is possible to explain the process by which the company manages the risks related to the emission information. By including an image showing indicators and goals, it is possible to explain the indicators for evaluating the risks related to the emission information and the goals related to the emission information. [Item C74] The information processing system according to item C71, characterized in that the report is an audio report. By generating a video report in this way, it is possible to disclose the emission information using audio on the company's homepage, etc. [Item C75] The information processing system according to item C73, characterized in that the output unit is capable of outputting the video report as a promotional video for SNS. By outputting the video report in this manner, the company's emissions information can be disclosed via SNS.

[0096] <<Modifications>> An example of a configuration that can be further applied to the embodiments of each of the functions described above will be described below.

[0097] <Modification of Acquisition Unit> The acquisition unit 250 collects information by prioritizing E1, which is a transition risk, and E1, E3, E4, S2, S3, S4, E5, E2, S1, and G, which are physical risks. The acquisition unit 250 can be connected to an ERP (Enterprise Resource Planning) and can easily collect in-house data. The acquisition unit 250 can also collect external data. The acquisition unit 250 can color-code the collected data. Examples of color-coding include unifying data definitions, recognizing data with high materiality, unifying awareness, understanding double counting, and erasing. The acquisition unit 250 can link data. Examples of data linkage include collaborative editing within a team or with an external consultant, output to an external analysis partner via an API, and connection to a financial accounting system, etc. The acquisition unit 250 can manage stakeholders. Examples of stakeholder management include restricting access to information of high importance and schedule management for creating disclosure documents.

[0098] The acquisition unit 250 enables data synchronization in real time between workers (including external consultants). Other effects include the following: Contact history and the like can be tracked by theme. Scheduling can be easily done between the parties involved. Stakeholder information can be listed. The definition of collected data is standardized between the parties involved, and there is no return. The preparation of work manuals and the like are somewhat standardized. It becomes possible to reduce the effort required for collecting information from a wide range of stakeholders. It becomes possible to manage stakeholder lists. It becomes possible to conduct questionnaires, tally up, and consolidate data. It becomes possible to carry out fixed-point observation. It becomes possible to standardize data definitions between groups. It becomes possible to eliminate double counting.

[0099] The acquisition unit 250 has functions that can be executed in the following order. (1) Register and organize suppliers from which ESG information is collected. This is done for each material business and product. This is called the supplier registration / structuring function. (2) You can select which data you want to collect for disclosure and enter company / business information. This is called the premise / purpose input function. (3) For each ESG area, a list of data sets that need to be collected is displayed and a person in charge is assigned. This is called the list of collected data items and person in charge assignment function. (4) The SAQ template is displayed and automatically distributed when a supplier is selected. This is called the hearing form template display / supplier selection function. (5) Promote data entry with an actionable UX. This is called the supplier input function. (6) Progress can be tracked for each data item and each supplier. This is called the progress tracking function. (7) The results of the calculation can be displayed and output. This is called the data calculation / output function. (8) Linkage to the analysis unit 280 and the output unit 240 is possible. This is called a linkage function to the analysis / dashboard.

[0100] <Modification of the analysis section> Although an example of one analysis unit is shown, the analysis unit 280 may be configured from a plurality of analysis units. For example, the analysis unit 280 may be configured from an analysis unit 280E1 for E1, an analysis unit 280E2 for E2, an analysis unit 280E3 for E3, an analysis unit 280E4 for E4, an analysis unit 280E5 for E5, an analysis unit 280S1 for S1, an analysis unit 280S2 for S2, an analysis unit 280S3 for S3, an analysis unit 280S4 for S4, and an analysis unit 280G for G. The analysis unit 280 may also be configured from an analysis unit for information on the environment (analysis unit 280E for E1 to E5), an analysis unit for information on society (analysis unit 280S for S1 to S4), and an analysis unit 280G for information on governance. The output unit 240 is also referred to as the providing unit 240. The execution unit 290 is also referred to as a solution unit 290 .

[0101] The analysis unit 280 analyzes the collected data. (E1) If the collected data is E1 and the type is physical risk, analyze chronic and acute risks based on climate change scenarios. Note that if the collected data is E1 and the type is transition risk, no analysis is performed. (E2) If the data to be collected is E2, perform regular observation and evaluate the visualization of the improvement status. (E3) If the data to be collected is E3, a water stress analysis will be conducted and interviews will be conducted with subsidiaries to see how they are responding. (E4) If the data to be collected is E4, perform a LEAP analysis (TNFD framework). (E5) If the data to be collected is E5, perform a circular economy assessment of the InFlow and OutFlow. (S1) If the data to be collected is S1, a benchmark comparison analysis is performed. (S2) If the data to be collected is S2, a conformity assessment with the UN guidelines will be performed. (S3) If the data to be collected is S3, obtain certification from a third party, etc. (S4) If the data to be collected is S4, perform a due diligence analysis based on the OECD Guidelines. (G) If the data to be collected is G, an evaluation such as an internal audit is performed.

[0102] The analysis unit 280 identifies data to be prioritized from among the collected data. The analysis unit 280 prioritizes the data using the following three viewpoints (1) to (3). Note that the viewpoints are not limited to three. (1) The data involves a high workload. This is a perspective that indicates that the data is subject to disclosure requirements regardless of materiality, that it is data related to requirements in a new field (being undertaken for the first time), or that it is data that involves frequent issues or tasks. (2) The data is of urgency This is a perspective that indicates that the data is already subject to disclosure pressure under other frameworks (other EU laws / ISSB / TNFD / human rights DD, etc.) or that it is a high priority data in terms of management issues. (3) The data must be compatible with information processing systems. This is a perspective that indicates that the data can be collected from information in the value chain and that it is possible to conduct data-driven analysis.

[0103] The resulting priority order is as follows: Result 1: The data related between viewpoint (1) and viewpoint (2) is data of S1, which has a priority of medium. Result 2: The data related between viewpoint (1) and viewpoint (3) is data E5, which has a priority of medium. Result 3: The data related between viewpoint (2) and viewpoint (3) is the data of E2, which has a priority of medium. Result 4: The relevant data among all viewpoints are E1, E3, E4, S2, S3, and S4, and are priority=high data.

[0104] The data E1, E3, and E4 are natural capital data, and the data S2, S3, and S4 are human capital data. The number of types of natural capital data and human capital data is the same, but when comparing the number of types in more detail, the number of types of natural capital data is greater than the number of types of human capital data, since the E1 data is classified into two types: E1 data for transition risk and E1 data for physical risk. In this way, the analysis unit 280 can identify prioritized data (areas).

[0105] There are two types of data on human capital. The types are the type of company and the type of data acquisition in the value chain (hereafter referred to as VC). The type of company includes the breakdown of employees by country, number of employees by gender, number of employees in countries with 50 or more employees, employee information by contract type by region, employee definition and category, employee turnover rate, total number of unemployed workers, percentage of workers covered by collective bargaining agreements, definition of company workers covered by collective bargaining agreements, link with works councils and trade unions, information on social dialogue, definition of top management, gender of top management, paying workers a fair wage, identifying workers who are not receiving a fair wage, percentage of workers below a fair wage, calculation of minimum wage, fair wage benchmark, indicative reference value for minimum wage, social protection of life events, countries and types of employees with and without social protection, employees with social protection and number of non-employed workers, percentage of disabled workers, gender breakdown, percentage of performance reviews, percentage of reviews agreed by management, average total training hours, average training hours by gender, employee categories, number of work-related injuries and fatalities due to work-related diseases, number and percentage of recordable work-related accidents, number of recordable cases of work-related diseases, number of days lost due to work-related injuries, work-related diseases and deaths due to disease, information on internal audits or external certifications, maternity / paternity / parental / carer's leave, pay gap, ratio of highest paid employee to median paid employee, gender pay gap, information on work-related grievances, incidents and claims, information on serious human rights impacts and incidents, incidents and / or grievances and actions taken, discrimination cases, serious cases regarding human rights issues and incidents.

[0106] Types of data captured in VC include: significant impacts on value chain workers and policies, scope and form of policy, alignment with UN Guiding Principles, alignment with relevant policies, engagement with value chain workers, disclosure of the company's process, reflecting the perspective of value chain workers, capturing the perspective of specific worker groups, remediation process for value chain workers, description of channels to value chain workers, tracking / monitoring issues and effectiveness of channels, approach and process for redress for value chain workers, existence of third-party mechanisms, protection against retaliation, addressing specific adverse impacts on value chain workers, provision of redress and ensuring effectiveness, prevention of significant adverse impacts and relationship to other business pressures, reporting of human rights issues and incidents, summary of action plans and resources, effective management / tracking / evaluation of significant impacts, etc.

[0107] Next, an example of analysis using E4 data will be shown. The analysis unit 280 inputs data points necessary for analysis, such as location information of business activities collected by the acquisition unit 250, business sector information, and business financial information, and executes the analysis. The analysis will be shown as an example of LEAP analysis. This analysis is an analytical approach recommended by the TNFD and the ESRS, which references it, for verifying biodiversity risks. This analysis is conducted in four phases: (1) the business's contact with nature, (2) the impact and dependency on nature, (3) evaluation of risks and opportunities, and (4) goal setting and response.

[0108] The analysis results are outputted by the output unit 240 after being divided into quantitative requirements and qualitative requirements.

[0109] Quantitative requirements include, for example, number and area of ​​material sites, TNFD / SDPI-based target setting, area of ​​land permanently protected, area of ​​land restored, number of sites with improved ecosystem integrity, land use based on LCA, changes in land cover over time (e.g. deforestation), changes in ecosystem management over time, changes in the spatial configuration of the landscape, changes in the structural connectivity of ecosystems, financial impacts of risks / opportunities, and products and services exposed to risk.

[0110] Examples of qualitative requirements include: alignment of strategy and business model, impact drivers and mitigation actions, explanation of biodiversity offsets, assessment of the resilience of business model related to biodiversity and ecosystems, process for identifying significant impacts, risks and opportunities, disclosure of verified biodiversity and ecosystem scenarios, policy on restricting sourcing of raw materials, information on products derived from ecosystems, disclosure of biodiversity offsets, and policy on raw material sourcing.

[0111] Although an example of analysis in four phases has been shown, the four phases may be set as follows. (Phase 1) Discover points of contact with nature throughout the supply chain and identify priority areas. (1-1) Business footprint (1-2) Contact with nature (1-3) Analysis of priority areas (1-4) Analysis of impacts (Phase 2) Diagnose the dependencies and impacts of your company's business activities on nature. (2-1) Identifying relevant environmental assets and ecosystem services (2-2) Identifying dependencies and impacts (2-3) Dependency Analysis (2-4) Analysis of impacts (Phase 3) Based on the results of the diagnosis, evaluate significant risks and opportunities. (3-1) Risk Identification and Evaluation (3-2) Mitigating and managing existing risks (3-3) Mitigating and managing additional risks (3-4) Evaluation of importance (3-5) Opportunity Identification and Evaluation (Phase 4) Prepare to address nature-related risks and opportunities and report to investors. (4-1) Strategy and resource allocation (4-2) Performance measurement (4-3) Report (4-4) Announcement

[0112] The analysis unit 280 acquires and analyzes data related to the company and group companies. The analysis unit 280 acquires and analyzes pollution data such as hazardous substance data for PRTR regulations from the environmental database. The analysis unit 280 also acquires and analyzes data related to water and marine resources / biodiversity such as equipment information, location information, and financial data from the asset management system and ERP. The analysis unit 280 also acquires and analyzes data related to the circular economy such as recycled materials and recycled materials from the procurement system and BOM / PLM. The analysis unit 280 also acquires and analyzes data related to human capital such as wage data / executive data / human rights data from the personnel system and human rights database. Furthermore, the analysis unit 280 acquires and analyzes third-party data. The analysis unit 280 acquires and analyzes data related to human capital such as wage data / executive data / human rights data from the personnel system and human rights database. The analysis unit 280 also acquires and analyzes data from the circular PF. The analysis unit 280 also acquires and analyzes data from the sustainability reports, CDP, and ESG rating databases of suppliers. Furthermore, the analysis unit 280 acquires and analyzes data from subsidiaries, group companies, and suppliers. The subsidiaries and group companies include, for example, subsidiary AA, which is a subsidiary of subsidiary A. The suppliers include, for example, supplier AA, which is a lower hierarchical level of supplier A. The subsidiaries and group companies acquire data from the analysis unit 280 through the UX / UI. The subsidiaries and group companies also add or overwrite data to be output to the analysis unit 280.

[0113] Next, the operation DX and ESG data pipeline construction in the analysis unit 280 will be described. The analysis unit 280 receives disclosure request information from investors, rating agencies, business partners, national regulations, etc. In the front end, the analysis unit 280 reads disclosure items / requirements, sets workflow for each disclosure destination / purpose, and manages and creates a tree of suppliers. Next, the flow is from the front end to the back end, where the analysis unit 280 stores and links ESG data. In the back end, the analysis unit 280 generates an ESG data table. The ESG data table is a data table in which data such as E1, E3, E4, E5, and S1 is stored. In addition, in the back end, the analysis unit 280 stores the data collected in the front end in these tables, tags them with the disclosure destination / purpose, and enables the extraction of related data using these as keys. In other words, mapping with the disclosure destination / purpose is performed. In this way, the requirements for each disclosure destination / purpose are broken down into data items, making it possible to design tables in each ESG area. Next, the flow goes from the back end to the front end, where the extracted data is output to the front end. In the front end, the analysis unit 280 creates questionnaires and supports responses (referring to past responses / industry practices) based on the extracted data, links collected data with disclosure destinations / purposes, extracts data for each disclosure destination / purpose, and outputs the data to be responded to and disclosed to investors, rating agencies, business partners, and regulations of each country. Examples of data sources collected by the analysis unit 280 include suppliers, subsidiaries / business companies, in-house systems, and 3rd party data.

[0114] The process for digitalizing ESG data collection and disclosure operations is as follows: (1) Workflow by disclosure recipient / purpose Workflows can be set up for each investor and disclosure regulation, and progress can be managed by assigning in-house staff to each task. (2) Questionnaire creation and response support You can create questionnaires based on templates for each disclosure destination / purpose. You can refer to past responses and industry practices, which can reduce the work of responding. (3) Linking collected data with recipients / purposes of disclosure It is possible to link data items collected not only from suppliers / subsidiaries but also from internal systems with disclosure destinations / purposes. (4) Extraction of data by disclosure destination / purpose It is possible to extract data by disclosure destination / purpose.

[0115] The ESG data pipeline will be constructed as follows: (1) Breaking down requirements for each disclosure recipient / purpose into data items The requirements for each disclosure destination / purpose have been broken down into data items, and tables have been designed for each ESG area. (2) Mapping with disclosure recipients / purposes The data collected on the front end is stored in these tables and tagged with the recipient / purpose of disclosure, making it possible to extract related data using these keys.

[0116] <Modification of the output unit> The output unit 240 extracts data to be used for disclosure. It also determines which collected and analyzed data will be used for which disclosure. It also saves data used for past disclosures and the calculation process. The output unit 240 outputs to materials. In this way, the person in charge can easily edit and output data. The output unit 240 is a dashboard for management. This dashboard allows the KPI to be grasped. It also allows for a common understanding between stakeholders. The output unit 240 performs business management. Examples of business management include alerts for material events and grasping differences through fixed-point observation. The output unit 240 discloses various reports. Types of reports include CDP, ISSB, GRI, RE100, the Global Warming Act, CSRD, CSDD, etc. In this way, the output unit 240 has a consulting function by disclosing various reports.

[0117] Before the output unit 240 was installed, it was troublesome to integrate scattered ESG data, and even after integration, important items were difficult to understand, KPIs important to the company could not be shared or tracked with relevant parties, and VC information was not even understood (even if the data was available, it was not compiled). By installing the output unit 240, it is possible to share important items with relevant parties in an easy-to-understand manner. In addition, real-time synchronization can be used to output alerts for differences. Furthermore, the person in charge can easily customize how the data is displayed. VC information can be automatically collected from the output unit 240.

[0118] The execution unit 290 provides the solution to the buyer. The execution unit 290 can also provide the solution to a third party other than the buyer. The third party is, for example, a supplier.

[0119] At the output section 240, the following can be resolved: (1) Strengthening ESG management: Strengthening ESG management from a medium- to long-term perspective will make it possible to achieve sustainable management. (2) Strengthening ESG ratings: By strengthening ratings set by the EU (SFDR Article 9 labeling) and rating agencies (MSCI / Ecovalis / Moody's), it will be possible to acquire more competitive funds. (3) Business risk management: (Apart from regulatory compliance) it is possible to accurately grasp the ESG risks of the business. In addition to transition risks, it is possible to understand the business impact of biodiversity, physical risks, and human capital risks. (4) Compliance with various regulations: Efficiently comply with regulations such as CSRD / CBAM / CS3D / TNFD / ISSB / CDP / Battery regulations. (5) Providing information to business partners and investors: It is possible to efficiently respond to requests for ESG-related data from ad-hoc investors and major business partners.

[0120] In the analyzer 280, the following can be solved: (1) Diverse ESG analysis: This solves the problem of the need to conduct highly specialized analysis in a variety of areas, which would be costly if done through consulting.

[0121] The acquisition unit 250 can solve the following: (1) Data collection costs at VCs: It will be possible to increase the efficiency of ESG data collection at VCs, which is labor-intensive and difficult to guarantee quality, while also promoting supplier engagement.

[0122] The output unit 240 can be used in cases such as strengthening ESG management, strengthening ESG ratings, business risk management, compliance with various compliance standards, and providing information to business partners / investors. The output unit 240 also has functions such as dashboarding of ESG material matters, rating simulation (e.g. SFDR, MSCI), monitoring of ESG risks by business unit, ESG scoring for each supplier, data extraction and output according to business partner / investor / disclosure requirements, data feed to external systems (e.g. Catena-X), automatic linkage and difference detection with the acquisition unit 250 and analysis unit 280. The analysis unit 280 has functions such as partner linkage (API linkage between each analysis PF and the acquisition unit 250 and output unit 240). Each analysis PF can also be built by oneself. The acquisition unit 250 has functions such as questionnaires, setting of data items (preparing templates for each purpose / disclosure), data input assistance, validation, tracking, scheduling, and management of supplier information and aggregation results.

[0123] 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 of the present invention, and equivalents thereof are also included in the present invention. The present invention may also be a combination of multiple functions described above.

[0124] In the embodiment of each function, the calculation unit 210, input unit 220, output unit 240, acquisition unit 250, generation unit 260, estimation unit 270, analysis unit 280, and execution unit 290 of the management server 200 may be a system having artificial intelligence that learns by itself (a mechanical system).

[0125] Although an example of an information processing system is shown in the disclosure of an embodiment of each function, each process (step) of the information processing system can also be an information processing method executed by a computer and a program for causing a computer to execute the process. [Explanation of symbols]

[0126] 100 user terminals 200 Management Server

Claims

1. A storage unit that stores emission information including at least information showing internal knowledge of business entities that are upstream or downstream of the supply chain; A reception unit capable of receiving instruction information from a user; a generation unit that generates a report based on the instruction information based on the instruction information and the inside knowledge indicating information; an output unit capable of outputting the report; An information processing system comprising:

2. 2. The information processing system according to claim 1, said report being a video report; An information processing system comprising:

3. storing, in a storage unit, emission information including at least information indicating internal knowledge of business entities that are upstream or downstream of the supply chain; receiving instruction information from a user; generating a report based on the instruction information and the inside knowledge indication; outputting said report; An information processing method characterized by being executed by a computer.

4. storing, in a storage unit, emission information including at least information indicating internal knowledge of business entities that are upstream or downstream of the supply chain; receiving instruction information from a user; generating a report based on the instruction information and the inside knowledge indication; outputting said report; A program for causing a computer to execute the following.

Images