Information processing program, information processing method, information processing device, and information processing system

JP7913735B1Active Publication Date: 2026-09-01SHERPA & CO LTD
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Patent Information

Application Number
JP2025227253
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2025-12-03
Publication Date
2026-09-01
Estimated Expiration
2045-12-03

AI Technical Summary

Benefits of technology

【0007】 本開示技術に係る情報処理方法は、上記の技術的特徴を有することで、複数の評価機関及び/又は複数の開示基準から選択された2以上の対象にわたる横断的な指標の分析が可能となる。

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Abstract

This enables the analysis of cross-sectional indicators across two or more targets selected from multiple rating agencies and / or multiple disclosure standards. [Solution] The information processing program causes the computer to execute the following steps: ST120 to acquire management information which is linked to at least one of the evaluation criteria items or disclosure criteria items adopted by an evaluation organization included in two or more targets selected from multiple evaluation organizations and / or multiple disclosure criteria, and which includes information that indicates indicators related to the items with numerical values ​​or symbols corresponding to numerical values; ST130 to generate information that displays the distribution information, calculates the distribution information based on the total upper limit of the indicators obtained by multiplying the upper limit of the numerical values ​​of the indicators included in the management information by the total number of selected evaluation organizations and / or disclosure criteria; and ST140 to output the generated information.
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Description

[Technical Field]

[0001] The disclosed technology relates to an information processing program, an information processing method, an information processing apparatus, and an information processing system. [Background Art]

[0002] In recent years, ESG management has attracted global attention as an essential management policy for the sustainable growth of companies, and an increasing number of companies are working on its implementation. Furthermore, in various countries and regions around the world, various disclosure systems have been established that require companies involved in activities within their jurisdictions to make disclosures in accordance with disclosure standards from the perspective of ESG (an acronym for Environment, Social, and Governance). There are also ESG evaluation organizations that evaluate whether organizations are carrying out activities that take ESG into consideration. In this way, ESG has come to attract attention similar to the SDGs. In addition to the above-mentioned "ESG management", terms including ESG such as "ESG investment", "ESG report", "ESG analytics", etc. have become generally widespread and commonly used.

[0003] Disclosure information related to ESG also includes non-financial information. Systems that focus on ESG information, quantify it, and evaluate it are also known. For example, Patent Document 1 discloses a system that evaluates corporate value by quantifying non-financial information. [Prior Art Literature] [Patent Literature]

[0004] [Patent Document 1] Japanese Unexamined Patent Publication No.2023-58857 [Summary of the Invention] [Problem to be Solved by the Invention]

[0005] The conventional system exemplified in Patent Document 1 merely obtains an ESG rating or score (hereinafter referred to as "ESG rating") based on the overall environmental (E), social (S), and governance (G) aspects, as well as scores for each aspect, from an external source for a particular company, and then displays the obtained ESG rating and scores. For example, the ESG evaluation items (hereinafter also simply referred to as "items") that form the basis of each of the above perspectives may be assigned various indicators to each item. In this regard, while conventional systems can identify the ESG ratings and scores that each rating agency has given to a particular company, there was a challenge in that it was difficult to accept the selection of two or more targets from multiple rating agencies and / or multiple disclosure standards from the user, and to perform cross-sectional analysis of indicators across the two or more selected targets. This disclosed technology was developed to solve the above-mentioned problems and aims to provide a technology that enables the analysis of cross-sectional indicators across two or more subjects selected from multiple evaluation bodies and / or multiple disclosure standards. [Means for solving the problem]

[0006] The information processing program relating to the disclosed technology is: Regarding ESG Multiple evaluation bodies and / or Regarding ESGThis system causes a computer to execute the following steps: an information acquisition procedure to acquire management information that includes information indicating indicators for an item using numerical values ​​or symbols corresponding to those numerical values, which is linked to at least one of the evaluation criteria items or disclosure criteria items adopted by an evaluation body included in two or more targets selected from multiple disclosure criteria; an information generation procedure to generate information for displaying the calculated distribution information, which is distribution information for indicators included in the management information linked to at least one of the evaluation criteria items or disclosure criteria items adopted by the selected evaluation body, obtained by multiplying the upper limit of the numerical values ​​of the indicators included in the management information acquired in the information acquisition procedure by the total number of selected evaluation bodies and / or disclosure criteria, and based on that total upper limit of the indicators; and an information output procedure to output the information generated in the information generation procedure. [Effects of the Invention]

[0007] The information processing method relating to this disclosed technology, having the technical characteristics described above, enables the analysis of cross-sectional indicators across two or more subjects selected from multiple evaluation organizations and / or multiple disclosure standards. [Brief explanation of the drawing]

[0008] [Figure 1] This is a block diagram showing the functional configuration of the information processing device related to the disclosed technology. [Figure 2] This figure shows an example of the focus single analysis screen when "SSBJ" is selected as the disclosure standard. [Figure 3] This figure shows an example of the focus single analysis screen when "FTSE" is selected as one of the evaluation agencies. [Figure 4] This figure shows an example of a focus cross-analysis screen when "S&P CSA (2025)" and "FTSE (2026)" are selected as the two rating agencies. [Figure 5] This figure shows an example of a detailed screen displaying the analysis results using Focus Cross. [Figure 6]Figures 6A and 6B are flowcharts illustrating the information processing method realized by the execution of the information processing program related to the disclosed technology, as a processing procedure. [Figure 7] Figure 7 shows the hardware configuration of the information processing device related to the disclosed technology. [Modes for carrying out the invention]

[0009] Several important terms used in the disclosed technology are defined below.

[0010] ESG evaluation criteria ESG evaluation items are defined as a single, identical item when they share common concepts or ideas, even if the wording of these evaluation items differs among different ESG rating agencies. ESG evaluation items include, for example, four items: ESG classification, code (number), major category, and minor category. In ESG evaluation criteria, the ESG classification indicates whether each data point falls under Environment, Social, or Governance. The letters used to represent the ESG classification are, for example, "E," "S," and "G." The codes (numbers) in ESG evaluation items are used to distinguish each subcategory, and each subcategory is assigned a different code. These codes that distinguish subcategories are also called "classification codes." The major and minor categories in ESG evaluation items are written names that make it easy for people to understand what kind of data each item represents that shows ESG information. These major and minor categories use generalized or standardized expressions of the ESG evaluation items used by each ESG rating agency. Examples of major categories include "General Environment," "Climate Change," "Water," "Resource Recycling," "Biodiversity," "Suppliers (Environment)," "Environmental Opportunities and Impacts," "Human Rights," "Labor Practices," "Diversity," "Human Resource Development," "Employee Safety and Health," "Corporate Citizenship," "Product Quality and Product Safety," "Corporate Governance," "Risk Management," and "Information Security and Privacy." Examples of minor categories include "Environmental Management Policies" under "General Environment," and "Policies to Address Climate Change," "Policies to Reduce Energy Consumption," and "Carbon Pricing" under "Climate Change."

[0011] ESG Evaluation Information In this specification, the term "ESG evaluation information" may include the following two types of information: One method is to provide each company with the evaluation results from various rating agencies, categorized by ESG evaluation item (hereinafter referred to as "company-specific evaluation information"). The evaluation results from each rating agency included in the company-specific evaluation information include, for example, whether the company meets or fails to meet the evaluation criteria adopted by each rating agency (hereinafter referred to as "meeting / failure"), and the ESG rating and score assigned by each rating agency (hereinafter simply referred to as "score"). Another piece of information is that which shows the evaluation criteria adopted by each rating agency in relation to each ESG evaluation item (hereinafter referred to as "evaluation criteria information"). ESG evaluation information includes, at a minimum, company-specific evaluation information. Furthermore, company-specific evaluation information and evaluation criteria information can be linked to corresponding ESG evaluation items and stored for each company in the evaluation information database 150 described later.

[0012] Evaluation Organization A rating organization is a third-party organization that evaluates a company's ESG-related initiatives. Specific examples of rating organizations include DJSI (Dow Jones Sustainability Index), FTSE (Footsie), MSCI, Sustainalytics, and CDP. It should be noted that evaluation methods implemented by rating organizations include two types: the so-called questionnaire type, in which the rating organization conducts interviews or questionnaires with target companies, and the so-called unsolicited rating type, in which the rating organization conducts evaluation without conducting any interviews or questionnaires. DJSI and CDP adopt the so-called questionnaire-type evaluation method. FTSE, MSCI, and Sustainalytics adopt the so-called unsolicited rating-type evaluation method.

[0013] <Disclosure Standards·Disclosure Standard Information> Disclosure standards are standards that stipulate disclosure obligations for ESG information pursuant to laws and regulations or frameworks. Examples of disclosure standards include GRI Standards, ISSB (Sustainability Disclosure Standards by the IFRS Foundation), and the like. Disclosure standards are generally summarized as standard documents. It should be noted that the aforementioned evaluation criteria adopted by each rating organization are formulated based on such disclosure standards, and the two are closely related. Disclosure standard information is electronic data of standard documents. Disclosure standard information for disclosure standards defined by various laws and regulations or frameworks is published on the Internet.

[0014] Embodiment 1. The technology of the present disclosure can be implemented as the information processing apparatus 100. Figure 1 is a block diagram showing a configuration example of an information processing system according to the technology of the present disclosure. As shown in Figure 1, the information processing system is a system in which the information processing apparatus 100 and a user terminal UT are connected via the Internet. In Figure 1, three user terminals (UT) are shown, but the number of user terminals (UT) can be any number of one or more. Also, in Figure 1, the information processing device 100 and the user terminals (UT) are connected via the Internet, but this connection is not limited to the Internet; any telecommunications line may be used. Furthermore, in this specification, a company acting as a user may be referred to as a "user company." An employee belonging to a user company may also be referred to as a "user."

[0015] Information processing device 100 The information processing device 100 accepts from the user, via the user terminal UT, the selection of the subjects for which to analyze evaluation results from multiple evaluation organizations and / or multiple disclosure standards. Specifically, the information processing device 100 accepts the selection of subjects for analysis from a group consisting of multiple evaluation organizations, a group consisting of multiple disclosure standards, or a group including multiple evaluation organizations and multiple disclosure standards. Upon receiving the selection of subjects from the user, the information processing device 100 analyzes the evaluation results of the user company based on the selected subjects and displays information indicating the analysis results on a display (not shown) of the user terminal UT.

[0016] The information processing device 100 is equipped with two main functions, "Focus Single" and "Focus Cross," for analyzing the evaluation results of user companies. "Focus Single" is a function that analyzes the evaluation results of user companies based on a single target (evaluation agency or disclosure standard) selected by the user, outputs information showing the analysis results to the user terminal UT, and displays it on the aforementioned display. "FocusCross," on the other hand, is a function that analyzes the evaluation results of a user company by two or more subjects selected by the user (two or more evaluation agencies, two or more disclosure standards, or one or more evaluation agencies and one or more disclosure standards) across those two or more subjects, outputs the information showing the analysis results to the user terminal UT, and displays it on the aforementioned display.

[0017] The information processing device 100 is configured to implement two functions, focus single and focus cross, and includes a reception unit 110, an information acquisition unit 120, an information generation unit 130, an information output unit 140, an evaluation information database 150, a disclosure information database 160, and a response information database 170. However, the information processing device 100 is not limited to this configuration, and the evaluation information database 150, the disclosure information database 160, and the response information database 170 may be provided by external devices that can communicate with the information processing device 100.

[0018] The information processing device 100 provides the user with a service related to the disclosed technology, namely, a service that analyzes the evaluation results of a user company by a subject selected by the user from among multiple evaluation organizations and multiple disclosure standards, and displays the analysis results (hereinafter referred to as the "analysis result display service"). The information processing device 100 is any computer, such as a server or a terminal used by a user. Here, the provision of the analysis results display service may be, for example, in the form of SaaS (Software as a Service), or it may be installed and operated within a facility managed by the administrator of the server (on-premise). In this case, the information processing device 100 is owned or managed by the provider of the analysis results display service (hereinafter referred to as the "service provider"). This specification provides details regarding the case where the information processing device 100 related to the disclosed technology is, for example, a server owned or managed by a service provider. The functions of the information processing device 100 may be fully implemented by a single server or by multiple servers. Furthermore, in this specification, "computer" means information processing device 100, or an information processing system including information processing device 100.

[0019] The information processing device 100 has an item table (not shown) in addition to the aforementioned evaluation information database 150, etc. The item table is a table that describes the correspondence between each ESG evaluation item, the disclosure standards corresponding to those items, the evaluation standards of each evaluation organization corresponding to those items, and the importance of those items. The item table is pre-configured by the service provider and stored, for example, in an unillustrated storage unit accessible by the information processing device 100. ESG evaluation items are, for example, created by the service provider. Disclosure standards are, for example, created by the service provider by collecting disclosure standard information publicly available on the internet and analyzing the correspondence between each disclosure standard and the ESG evaluation items. The importance level indicates how important each ESG evaluation item is considered among multiple ESG evaluation items. This may be set by the service provider using a default calculation formula, or by the user receiving the analysis results display service. Details of importance levels will be described later.

[0020] Evaluation Information Database The evaluation information database 150 holds ESG evaluation information. As mentioned above, the ESG evaluation information includes company-specific evaluation information and evaluation criteria information. The raw information (hereinafter referred to as "raw evaluation information") of the evaluations conducted by each evaluation agency for each company, which is necessary for creating company-specific evaluation information among the ESG evaluation information, is uploaded to the information processing device 100, for example, when a company, as a user possessing such raw information, operates the user terminal UT. In other words, the raw evaluation information is information that shows the evaluations conducted by each evaluation agency for each company before they were divided into separate ESG evaluation items. The process of extracting the evaluations performed by each evaluation agency in the original evaluation information, categorized by ESG evaluation item, that is, the process of extracting company-specific evaluation information (hereinafter referred to as the "extraction process"), may be performed manually or by the information processing device 100 using machine learning technology. The procedure by which the information processing device 100 performs the extraction process is referred to as the "evaluation information extraction procedure". When machine learning techniques are used, specifically, a pre-trained model may be used that, upon input of raw evaluation information, is trained to categorize the evaluations conducted by each evaluation agency according to their respective ESG evaluation items. The pre-trained model may be composed of an artificial neural network, or it may be a large-scale language model (LLM) such as a Generative Pre-trained Transformer (GPT).

[0021] The prompts input to the large-scale language model include, for example, the original evaluation information itself or information specifying the original evaluation information, and the information itself that shows the ESG evaluation items or information that specifies the item table. The information specifying the original evaluation information is, for example, information that indicates the directory and file name of the original evaluation information if it is stored in an unillustrated storage unit accessible by the information processing device 100. Similarly, the information specifying the item table is information that indicates the directory and file name of the item table. Furthermore, the prompt includes instructions to extract the corresponding sections from the original evaluation information that contain descriptions related to the ESG evaluation items, and to extract the evaluation results, such as scores, included in those sections. Furthermore, the processing based on these instructions may be carried out in multiple steps using multiple types of prompts. For example, first, the corresponding sections may be extracted using a prompt that only contains instructions for extracting the corresponding sections, and then the evaluation results, such as scores, included in the extracted corresponding sections may be extracted using a prompt that contains instructions for extracting those evaluation results. Furthermore, the prompt may include instructions to extract evaluation criteria information included in the corresponding section. When a large-scale language model is used as the trained model, prompts can be automatically generated. For example, a prompt template is set by the service provider and stored in an unillustrated memory accessible by the information processing device 100. When the information processing device 100 performs the task of separating the evaluations made by each evaluation organization in the original evaluation information into ESG evaluation items, it can retrieve the template from the aforementioned memory and automatically create the prompt described above by embedding necessary information, such as information specifying the original evaluation information.

[0022] The large-scale language model may be provided by an external server or by the information processing device 100. For example, an existing large-scale language model provided as a service by an external server may be used. In this case, the information processing device 100 can input prompts to the large-scale language model and obtain responses to the inputs from the large-scale language model through API (Application Programming Interface) communication.

[0023] The extraction process may be performed using a pre-trained model, a so-called rule-based algorithm, or entirely manually, as described above. Furthermore, the extraction process may be performed as a semi-automated operation, where it is initially carried out by a pre-trained model such as the large-scale language model mentioned above, and then finally confirmed by human visual inspection. Furthermore, among the ESG evaluation information, the evaluation criteria information may be extracted in association with ESG evaluation items during the extraction process as described above and stored in the evaluation information database 150, or it may be created after company-specific evaluation information has been created, by referring to the item table to associate it with ESG evaluation items, and then stored in the evaluation information database 150. This process can be performed automatically by the information processing device 100 or manually.

[0024] Disclosure Information Database The disclosure information database 160 holds the disclosure information of the company to which the user belongs. The disclosure information held by the disclosure information database 160 is ESG information of the company related to ESG evaluation items. The disclosure information held in the disclosure information database 160 consists of the disclosure information of one or more companies. The disclosure information of each company is obtained, for example, by crawling. Crawling is a well-known technique in which a program called a crawler periodically visits multiple websites to obtain and store information.

[0025] Here, for example, first, the information processing device 100 periodically visits the websites of multiple companies designated in advance by the service provider to acquire disclosure information from those companies. The information processing device 100 first converts the acquired disclosure information from the companies into text data using optical character recognition (OCR), then divides the converted text data into predetermined ranges, and converts the text data into vectors for each divided range. The information processing device 100 then links the vectors obtained by the conversion with information that identifies the company disclosing the information (hereinafter referred to as "company identification information") and stores them in the disclosure information database 160. Company-specific information includes, for example, the company's official name, abbreviation, or a unique ID or code. Hereafter, company-specific information will be defined as the company's official name or abbreviation. If the disclosed information is created in PDF format, the disclosed information may already contain text data. In that case, the information processing device 100 may not need to convert the disclosed information into text data using optical character recognition (OCR) as described above. Furthermore, the disclosed information of multiple companies acquired by the information processing device 100 may be created in HTML format. When the information processing device 100 divides the aforementioned text data into predetermined ranges, it can divide it, for example, by page, by paragraph, or by the number of characters. When dividing the text data by the number of characters, the information processing device 100 can set any number of characters, such as a maximum of 400 characters, as the unit of division. In this case, the information processing device 100 may also divide the text data so that there is an overlap of any number of characters, such as 100 characters, before and after the divided range.

[0026] 《Answer Information Database》 The response information database 170 holds information about questions used by ESG rating agencies when evaluating companies (hereinafter referred to as "question information") and information about the answers that companies have given to those questions (hereinafter referred to as "response information"). The question information and response information are stored in the response information database 170 in association with the ESG evaluation items that were the basis for the questions. For the purposes of this explanation, the questions used by ESG rating agencies when evaluating companies will be assumed to be, for example, questions sent from the ESG rating agency to the company. The response information database 170 is created and managed by the service provider for each company to which the user belongs. For example, a service provider may request a company in advance to provide information in a specified data format, such as Excel, regarding the questions sent by the ESG rating agency and the answers provided to those questions. The service provider then reads the file returned by the company using the information processing device 100 and stores the question information and answer information contained in the read file in the answer information database 170. Furthermore, the question information may be stored in the answer information database 170 after the content of the questions has been generalized by the service provider, for example. Alternatively, the question information may be stored in the answer information database 170 after the style of the questions has been standardized across multiple questions, for example.

[0027] 《Management information》 Furthermore, the response information database 170 stores information corresponding to each ESG evaluation item, showing the response status, next action, responsible department, tags, comments, last update, and weight methodology. For the sake of brevity in the following explanation, the above information will be referred to as "response status information," "next action information," "responsible department information," "tag information," "comment information," "last update information," and "weight methodology information." These pieces of information will also be collectively referred to as "management information." In addition to the above information, "management information" may also include information indicating the importance of the ESG evaluation items described in the item table above (hereinafter referred to as "importance information").

[0028] The "Response Status" indicates the user company's response to the ESG evaluation items. The Response Status includes at least one of the following: "Response Policy (Analysis Results)" and "Improvement Progress." The "Response Policy" outlines the company's response plan regarding the evaluation criteria or disclosure criteria adopted by the evaluation organization, including whether the company (user company) will take steps to address them in the future or maintain the current status quo. The response policy is determined based on user actions, selecting and setting a predetermined status such as "postpone," "continue monitoring," "implement improvements," or "maintain current status." In the initial state, when no user actions have been taken, the response policy is set to a default value (e.g., "maintain current status"), and this information is stored in the response information database 170.

[0029] "Improvement progress" indicates the company's response status to the evaluation criteria or disclosure criteria adopted by the evaluation organization. Based on user actions, the improvement progress is set to a predetermined status such as "pending," "completed," "in progress," "shared," or "not yet addressed." In the initial state, when no user action has been taken, the improvement progress is set to a default value (e.g., "not yet addressed"), and this information is stored in the response information database 170.

[0030] "Next Action" indicates what actions the company will take in the future regarding the evaluation criteria or disclosure criteria adopted by the evaluation body. Next Action is described and set based on user input, for example, in a free-text format. In the initial state, when no user input has been made, a default value (e.g., blank) is set for Next Action, and this information is stored in the response information database 170.

[0031] The "Responsible Department" indicates which department within the company is responsible for addressing the evaluation criteria or disclosure criteria adopted by the evaluation organization. Based on user input, the responsible department is selected and set, for example, as "Human Resources Department," "Sales Department," "Environmental Department," or "Sustainability Promotion Department." In the initial state, when no user input has been made, a default value (e.g., blank) is set for the responsible department, and this information is stored in the response information database 170.

[0032] "Tags" refer to tags set for items in the evaluation criteria or disclosure criteria adopted by the evaluation organization. Based on user actions, predetermined tags such as "awaiting response," "in progress," or "reviewed" are selected and set. In the initial state, when no user action has been taken, default values ​​(e.g., blank) are set for the tags, and this information is stored in the response information database 170.

[0033] "Comments" refer to comments set for items in the evaluation criteria or disclosure criteria adopted by the evaluation organization. Comments are written and set based on user actions, for example, in a free-text format. In the initial state, when no user action has been taken, a default value (e.g., blank) is set for the comments, and this information is stored in the response information database 170.

[0034] "Last Updated" indicates the update date and time, and the person who updated the information in the response information database 170 related to the evaluation criteria items or disclosure criteria items adopted by the evaluation organization. The last updated information is automatically set by the DBMS that manages the response information database 170, based on user operations. In the initial state, when no user operations have been performed, a default value (e.g., blank) is set for the last updated information, and that information is retained in the response information database 170.

[0035] "Weight methodology" encompasses two concepts: weight and methodology. Of these, weight has the following two uses: (1) For users, this information will be displayed on the Focus Single Analysis screen, described later, as reference information for the "importance" of the analysis performed by the user. (2) It is used in combination with the evaluation body or disclosure standard methodology to calculate new reference information for analysis (e.g., the number of additional responses described later).

[0036] Methodologies can be used by dividing them into the following two types of information. (1) Information on the entire evaluation process It can be used primarily in the information processing device 100 to construct derivative calculation logic combined with weights, scores, and the like. (2) Evaluation criteria for each item In the future, this could be used to display the evaluation points (direction of consideration) for each ESG evaluation item on the system (user terminal UT display) so that users can understand them. The weights and methodologies are selected and set based on user input using predetermined values ​​or methods. In the initial state, when no user input has been performed, default values ​​(e.g., blank) are set for the weights and methodologies, and this information is stored in the response information database 170.

[0037] Reception Desk 110 The reception unit 110 accepts the selection of a target from the user via the user terminal UT, from among multiple evaluation organizations and / or multiple disclosure standards. Specifically, the reception unit 110 accepts the selection of a target from among a group consisting of multiple evaluation organizations, a group consisting of multiple disclosure standards, or a group including multiple evaluation organizations and multiple disclosure standards. When conducting a Focus Single assessment, the reception unit 110 accepts the selection of one evaluation agency or one disclosure standard from the above target group. When conducting a Focus Cross assessment, the reception unit 110 accepts the selection of two or more targets from the above target group. The user can operate the user terminal UT to access the information processing device 100 and display a screen for using the analysis results display service (hereinafter referred to as the "service usage screen") on the user terminal UT's display (not shown). This screen will be displayed in a browser, for example, if the analysis results display service is provided in the form of SaaS. This screen will display windows for selecting, for example, whether to perform a focus single or focus cross analysis, and the evaluation organizations, etc., to be analyzed. When performing a focus cross analysis, the user can select either two or more evaluation organizations, two or more disclosure standards, or one or more evaluation organizations and one or more disclosure standards.

[0038] 《Information acquisition section 120》 When a focus single assessment is performed, the information acquisition unit 120 acquires management information that is linked to an item of an evaluation criterion adopted by one evaluation organization or an item of a disclosure criterion, which is received by the reception unit 110, and which includes at least information indicating the status of response to that item. When a focus cross is performed, the information acquisition unit 120 acquires management information linked to at least one of the evaluation criteria items or disclosure criteria items adopted by the evaluation organization, which has been received by the reception unit 110, and which includes information that indicates an indicator related to the item using a numerical value or a symbol corresponding to the numerical value. The indicator is, for example, the importance level mentioned above.

[0039] 《Information generation section 130》 When a focus single assessment is performed, the information generation unit 130 calculates the compliance achievement rate by subtracting the number of items whose compliance status, as indicated by the information included in the management information acquired by the information acquisition unit 120, indicates that no action is required, from the number of items in the evaluation criteria adopted by one evaluation organization or the number of items in one disclosure criteria, as the denominator, and the number of items whose compliance status, as indicated by the information included in the management information acquired by the information acquisition unit 120, indicates that action has been completed, as the numerator. The information generation unit 130 generates information for displaying the calculated compliance achievement rate. When Focus Cross is performed, the information generation unit 130 sets the total upper limit of the indicators by multiplying the upper limit of the numerical values ​​of the indicators included in the management information acquired by the information acquisition unit 120 by the total number of evaluation organizations and / or disclosure standards selected by the user, and calculates distribution information of indicators included in the management information that is linked to at least one of the evaluation standard items or disclosure standard items adopted by the evaluation organization selected by the user, based on this total upper limit. The information generation unit 130 generates information for displaying the calculated distribution information.

[0040] Information output unit 140 The information output unit 140 outputs (transmits) the information generated by the information generation unit 130 to the user terminal UT during focus single and focus cross operations.

[0041] Furthermore, when the reception unit 110 receives the selection of one evaluation agency during a focus single assessment, it may also receive input from the user of information indicating the target score of the selected evaluation agency (hereinafter referred to as "target value information"). When the reception unit 110 receives input of target value information from the user, the information generation unit 130 calculates the number of items that need to be addressed in order to achieve the target value indicated by the target value information, and generates information to display the calculated number of items. The information output unit 140 also outputs the information generated by the information generation unit 130.

[0042] Furthermore, during the Focus Cross implementation, the reception unit 110 may accept the user's selection of any category from the categories set in the histogram displayed as distribution information. When the reception unit 110 accepts the user's selection of any category, the information generation unit 130 generates information to display the evaluation criteria items or disclosure criteria items corresponding to the indicator corresponding to the selected category on the same screen as the screen displaying the histogram. The information output unit 140 then outputs the information generated by the information generation unit 130.

[0043] The analysis functions realized by the information processing device 100 will be explained in detail below, starting with focus single and then focus cross, with specific examples.

[0044] <Focus Single> The reception unit 110 accepts the selection of one evaluation body or one disclosure standard from among multiple evaluation bodies and / or multiple disclosure standards. Specifically, the reception unit 110 accepts the selection of one evaluation body or one disclosure standard from among target groups consisting of a group of multiple evaluation bodies, a group consisting of multiple disclosure standards, or a group including multiple evaluation bodies and multiple disclosure standards. For example, a user operates the user terminal UT to display the aforementioned service usage screen on the display, and then enters a request to perform a focus single from this screen. Furthermore, the user selects one evaluation agency or one disclosure standard from the above target group to be analyzed via the service usage screen, and inputs the selected evaluation agency or one disclosure standard into the user terminal UT. When the user terminal UT receives a request from the user to implement a focus single and a selected evaluation agency or disclosure standard, it generates information indicating that a request to implement a focus single has been made for the selected evaluation agency or disclosure standard (hereinafter referred to as "focus single request information") and transmits the generated information to the information processing device 100. The receiving unit 110 of the information processing device 100 receives focus single request information from the user terminal UT, and based on the received focus single request information, accepts a request to perform a focus single and a selection of one evaluation body or one disclosure standard. When the reception unit 110 receives a request to implement Focus Single and a selection of one evaluation agency or one disclosure standard, it generates information to identify the selected evaluation agency or one disclosure standard (hereinafter referred to as "selected agency identification information") and outputs the generated information to the information acquisition unit 120.

[0045] The information acquisition unit 120 acquires information identifying the selected organization, etc., from the reception unit 110. Once the information acquisition unit 120 has acquired the information identifying the selected organization, etc., from the reception unit 110, it acquires the disclosure information disclosed by the user company from the disclosure information database 160. Furthermore, the information acquisition unit 120 acquires ESG evaluation information of the user company from the evaluation information database 150 by one evaluation organization identified by the acquired selection organization identification information.

[0046] Furthermore, the information acquisition unit 120 acquires information (answer information) from the answer information database 170 that indicates the answers to questions regarding the evaluation criteria items adopted by one evaluation organization identified by the acquired selection organization identification information. Furthermore, the information acquisition unit 120 acquires comment information from the response information database 170 regarding the evaluation criteria items or disclosure criteria items adopted by one evaluation organization identified by the acquired selection organization identification information. Furthermore, the information acquisition unit 120 obtains weight methodology information from the response information database 170 regarding the evaluation criteria items adopted by a single evaluation organization identified by the acquired selection organization identification information. Furthermore, the information acquisition unit 120 acquires importance information for items of evaluation criteria or items of disclosure criteria adopted by one evaluation organization, which are identified by the selected organization identification information, from the item table mentioned above.

[0047] The importance level indicated by the importance information represents the degree to which a user company's response to an evaluation criterion item adopted by a single evaluation agency selected by the user, or a response to an disclosure criterion item selected by the user, has an impact on the user company's own evaluation. The importance level is set by the service provider using a default calculation formula. For example, the importance level is set by a number between 1 and 5, or by a symbol corresponding to the number, such as "S," "A," "B," or "C." In the latter case, for example, the symbol "S" corresponds to the number "5," the symbol "A" corresponds to the number "4," the symbol "B" corresponds to the number "3," and the symbol "C" corresponds to the number "2."

[0048] When the information acquisition unit 120 acquires each of the above pieces of information, it outputs each piece of acquired information to the information generation unit 130.

[0049] The information generation unit 130 acquires the above information from the information acquisition unit 120. Once the information generation unit 130 has acquired the information from the information acquisition unit 120, it uses the acquired information to perform analysis using focus single and generates information for displaying the results (hereinafter referred to as "focus single display information").

[0050] An example of analysis using focus singles is the calculation of the response completion rate (hereinafter simply referred to as "completion rate"). For example, when a user selects an evaluation organization, the information generation unit 130 uses the number obtained by subtracting the number of items whose response policy in the response status information described above is set to "no response required" from the total number of items in the evaluation criteria adopted by that evaluation organization as the denominator. The information generation unit 130 also uses the number of items in the evaluation criteria adopted by that evaluation organization whose improvement progress in the response status information described above is set to "responded" as the numerator. From these numerator and denominator, the information generation unit 130 calculates the percentage of items in the evaluation criteria adopted by the evaluation organization that have been addressed, i.e., the achievement rate. The achievement rate may be displayed numerically or graphically. Furthermore, the information generation unit 130 can calculate the achievement rate in the same manner as described above, even when a single disclosure standard is selected by the user.

[0051] The information generation unit 130 may calculate the achievement rate for each category. For example, the information generation unit 130 may calculate the achievement rate for each section or topic for each item of a disclosure standard selected by the user. The hierarchical relationship of sections, etc., is from top to bottom as follows: topic, section, and item of the disclosure standard. In other words, a section is a subdivision of a topic, and an item of the disclosure standard is a subdivision of a section. For example, in the disclosure standard "SSBJ", the topic is "strategy", under which the section is "governance body or individual", and under which the item is "results of human rights due diligence".

[0052] Another example of analysis using Focus Single is calculating the number of items for each status. For example, the information generation unit 130 may calculate the number of items for a single disclosure standard selected by the user for each response policy or improvement progress included in the response status information described above. In this case, the information generation unit 130 calculates the number of items based on the response status information corresponding to the single disclosure standard item selected by the user, for example, "20" for disclosure standard items where the response policy is "no response required" and "100" for disclosure standard items where the improvement progress is "in progress".

[0053] Another example of analysis using Focus Single is calculating the number of items that require additional action to achieve the target value. For example, after a screen displaying the analysis results from Focus Single is shown on the user terminal UT's display, the user operates the user terminal UT to input target values ​​(target scores) for topics of evaluation criteria adopted by a particular evaluation organization. When a target value is input by the user, the user terminal UT generates information indicating that target value (target value information) and transmits the generated information to the information processing device 100. The receiving unit 110 of the information processing device 100 receives target value information from the user terminal UT. Upon receiving the target value information from the user terminal UT, the receiving unit 110 outputs the received target value information to the information generation unit 130. The information generation unit 130 obtains target value information from the reception unit 110. When the information generation unit 130 obtains target value information from the reception unit 110, it obtains the response rate required to achieve the target value indicated by the obtained target value information (hereinafter referred to as the "required response rate").

[0054] For example, the information generation unit 130 refers to a table in which target values ​​and the required response rates to achieve those target values ​​are pre-linked, and obtains the required response rates to achieve those target values ​​from the table. This table is, for example, pre-generated by a service provider and stored in a storage unit (not shown) of the information processing device 100. When the information generation unit 130 obtains the required response rate from this table, it calculates the number of items that need to be additionally addressed to achieve the target value (hereinafter referred to as "additional response count") based on the obtained required response rate and the response rate up to that point. At this time, the information generation unit 130 may calculate the additional response count considering the methodology described above.

[0055] The information generation unit 130 performs the various analyses described above, generates focus single display information for displaying the analysis results, and outputs the generated information to the information output unit 140.

[0056] The information output unit 140 acquires focus single display information from the information generation unit 130. Once the information output unit 140 acquires the focus single display information from the information generation unit 130, it transmits the acquired information to the user terminal UT. When the user terminal UT receives information for displaying focus single from the information output unit 140, it displays a screen on its display showing the analysis results by focus single (hereinafter referred to as the "focus single analysis screen") based on the received information.

[0057] An example of the focus single analysis screen is shown in Figure 2. This section shows an example of the focus single analysis screen when "SSBJ" is selected as one of the disclosure standards by the user. As shown in Figure 2, the focus single analysis screen for the disclosure standard "SSBJ" consists of the "Analysis Summary" section 201 and the "Disclosure Item Analysis" section 202.

[0058] The "Analysis Summary" column (201) displays the "Overall Achievement Rate," "Achievement Rate by Category," and "Number of Items per Status." The "Overall Achievement Rate" is a pie chart showing the achievement rates mentioned above, indicated by the symbol 2011. In this example, there are a total of 30 items in the disclosure standard "SSBJ," of which 10 have been achieved (addressed) and 20 have not been achieved (addressed). The "Achievement Rate by Category" displays the achievement rate by category. In this example, the achievement rate for items included in the "Governance Institution or Individual" section is shown in a bar graph indicated by the symbol 2012. The "Number of Items per Status" indicated by code 2013 displays the number of items for each response status (response policy or improvement progress) according to the disclosure standard "SSBJ". In this example, the number of items with improvement progress of "in progress" is 100, the number of items with response policy of "no action required" is 20, and so on.

[0059] Note that in the example in Figure 2, specific values ​​are displayed for the overall achievement rate, etc. However, when the Focus Single Analysis screen is first displayed, the overall achievement rate, etc., are displayed as values ​​calculated based on default values. Also, the example in Figure 2 is merely an example of how it is displayed, and the consistency of the specific values ​​has not been given particular consideration.

[0060] The "Disclosure Item Analysis" section 202 displays the items of a single disclosure standard "SSBJ" selected by the user in a list format indicated by code 2021. Of these, the "Status," "Next Action," "Responsible Department," "Tags," "Comments," and "Last Updated" columns display the corresponding status information, next action information, responsible department information, tag information, comment information, and last updated information included in the management information mentioned above. In the example in Figure 2, specific values ​​are partially displayed in each of the above columns, but when the Focus Single Analysis screen is first displayed, the above columns display default values.

[0061] Users can modify the contents of the "Status," "Next Action," "Department," "Tags," and "Comments" fields on this Focus Single Analysis screen by operating the User Terminal (UT). For example, users can modify the contents of each of the above fields by operating the User Terminal (UT) and selecting the desired content from a pull-down menu or by directly entering text.

[0062] When a user changes the contents of each of the above fields and instructs the display to update through the prescribed operation, the Focus Single Analysis screen is updated. Specifically, when a user changes the contents of each of the above fields and instructs the display to be updated through a predetermined operation, the user terminal UT generates information (hereinafter referred to as "update instruction information") that includes the contents changed by the user and the update instruction, and transmits the generated information to the information processing device 100. The receiving unit 110 of the information processing device 100 receives update instruction information from the user terminal UT. When the receiving unit 110 receives update instruction information from the user terminal UT, it outputs the received update instruction information to the information generation unit 130. The information generation unit 130 obtains update instruction information from the reception unit 110. Upon obtaining the update instruction information from the reception unit 110, the information generation unit 130 performs an analysis based on the obtained update instruction information to reflect the changes made by the user, generates focus single display information again to display the analysis results, and outputs the generated information to the information output unit 140. When the information output unit 140 obtains focus single display information from the information generation unit 130, it transmits the obtained information to the user terminal UT. When the user terminal UT receives information for displaying focus singles from the information output unit 140, it displays the focus single analysis screen again on the display based on the received information. This updates the focus single analysis screen.

[0063] Furthermore, when the reception unit 110 of the information processing device 100 receives update instruction information from the user terminal UT, it reflects the changes made by the user in the response information database 170 based on the received update instruction information. After this reflection is completed, focus single display information is generated based on the reflected content, and a focus single analysis screen based on this information is displayed on the user terminal UT's display.

[0064] Figure 3 shows an example of the Focus Single Analysis screen when "FTSE" is selected as one of the evaluation agencies by the user. As shown in Figure 3, the Focus Single Analysis screen for the evaluation agency "FTSE" consists of a "Evaluation Criteria Summary" section 301 and an "Evaluation Item Analysis" section 302.

[0065] The "Evaluation Criteria Summary" column 301 displays the "Current Status" column 3011 and the "Score Improvement" column 3012. The "Current Status" column 3011 displays the number of questions (number of items), the number of responses, the positive response rate (corresponding to the response rate mentioned above), the score, and the exposure for each theme (corresponding to the topics mentioned above). The "Score Improvement" section 3012 includes fields for "Target Score," "Positive Response Rate (corresponding to the required response rate mentioned above)," and "Number of Additional Responses."

[0066] Section 302 of the "Evaluation Item Analysis" section includes the following fields: "Code," "Metric / Question," "Response / Difference," "Counter-Argument Effect," "Company Disclosure," "Importance," "Next Action," "Responsible Department," "Tags," "Comments," and "Last Updated." The "Weight" mentioned above may also be displayed in Section 302 of the "Evaluation Item Analysis" section. Of these, the "Importance," "Next Action," "Responsible Department," "Tags," "Comments," and "Last Updated" fields display the content of the importance information, next action information, responsible department information, tag information, comment information, and last updated information included in the management information mentioned above. In the example in Figure 3, specific values ​​are partially displayed in each of the above fields, but when the Focus Single Analysis screen is first displayed, the above fields display default values.

[0067] Users can modify the contents of the "Target Score," "Importance," "Next Action," "Responsible Department," "Tags," and "Comments" fields on this Focus Single Analysis screen by operating the User Terminal (UT). For example, users can modify the contents of each of the above fields by operating the User Terminal (UT) and selecting the desired content from a pull-down menu or by directly entering text. When a user changes the contents of each of the above fields and instructs the system to update the display through the prescribed operation, the Focus Single Analysis screen will be updated. The specific procedure for updating is the same as the procedure for updating the Focus Single Analysis screen of "SSBJ" described above.

[0068] Furthermore, in the screen shown in Figure 3, when the user inputs (changes) the "Target Score" indicated by the code S, the "Number of Additional Responses" indicated by the code T is also changed. For example, as shown in Figure 3, when the "target score" is changed from the default value to "5", the information generation unit 130 refers to the table as described above, determines the required response rate to obtain a score of "5", and calculates the number of additional responses. In this example, to achieve a target score of "5" for the theme "Tax Transparency," a response rate of "61.00%" is required. This means that an additional "5" responses are needed, i.e., 5 more items on the theme need to be addressed (answered). This allows users to easily understand the number of additional items they need to address to achieve their target score.

[0069] Thus, Focus Single allows for a detailed analysis of a user company's evaluation results based on a single evaluation agency or disclosure standard selected by the user. In particular, the Focus Single analysis screen displays the compliance rate, making it easy for users to understand how well their company currently complies with (responds to) the evaluation or disclosure standard items. Furthermore, Focus Single can provide users with analysis results from different perspectives depending on whether they select a single rating agency or a single disclosure standard. For example, when a single rating agency is selected, Focus Single can provide users with analysis results that help them confirm the content evaluated (scored) by that agency, support improvements to their disclosures, and help them consider future countermeasures, including ultimately increasing their score. It can also automatically generate a summary including the status of scores or weights based on ESG evaluation information, and calculate derivative indicators such as the number of additional actions taken as needed, helping users identify directions for score improvement. Furthermore, when a single disclosure standard is selected, the Focus Single helps users check the progress of their company's response to the items of the disclosure standard and helps them assess their compliance with the disclosure standard. It can also provide users with analytical results that help improve the content of their disclosures and ultimately aim to improve compliance with information disclosure.

[0070] <Focus Cross> Next, I will explain focus cross. As described above, FocusCross is a function that analyzes the evaluation results of a user company by two or more subjects selected by the user (two or more evaluation agencies, two or more disclosure standards, or one or more evaluation agencies and one or more disclosure standards) across those two or more subjects, outputs the information showing the analysis results to the user terminal UT, and displays it on the display mentioned above. FocusCross uses a common item table to achieve the cross-sectional analysis described above.

[0071] The common items table holds information that pre-associates items with common concepts between the evaluation criteria adopted by each evaluation agency and the disclosure criteria. It holds information that shows the correspondence between items with common concepts between the evaluation criteria adopted by each evaluation agency and the disclosure criteria. Here, "items with a common concept" refers to items such as the following: For example, if an item in one evaluation criterion and an item in another disclosure criterion have different wording, but there is a certain degree of commonality in the evaluation subject (evaluation content) that is evaluated based on those items, then those items are called "items with a common concept." For example, suppose that item "XX1" in the evaluation criteria adopted by a certain evaluation agency and item "YY1" in a certain disclosure standard, although expressed differently, are both items used when evaluating a company's "environmental management policy." In such a case, item "XX1" in the evaluation criteria adopted by a certain evaluation agency and item "YY1" in the disclosure standard are items with a common concept. Thus, a common items table, which holds information indicating items with common concepts between the evaluation criteria items adopted by each evaluation body and the disclosure criteria items, is generated in advance by, for example, a service provider and stored in a storage unit (not shown) provided by the information processing device 100.

[0072] In the following explanation, we will use the example of a case where the user has selected two evaluation agencies in order to make the explanation more concrete.

[0073] The reception unit 110 accepts the selection of two evaluation organizations from among multiple evaluation organizations and / or multiple disclosure standards. Specifically, the reception unit 110 accepts the selection of two evaluation organizations from among a group consisting of multiple evaluation organizations, a group consisting of multiple disclosure standards, or a group including multiple evaluation organizations and multiple disclosure standards. For example, a user operates the user terminal UT to display the aforementioned service usage screen on the display, and then inputs a request to perform a focus cross from this screen. Furthermore, the user selects two evaluation organizations from the above target group to be analyzed via the service usage screen, and enters the two selected evaluation organizations into the user terminal UT. When the user terminal UT receives a request from the user to perform a focus cross and two or more selected evaluation organizations, it generates information indicating that a request to perform a focus cross has been made for the two or more selected evaluation organizations (hereinafter referred to as "focus cross request information") and transmits the generated information to the information processing device 100. The reception unit 110 of the information processing device 100 receives focus cross request information from the user terminal UT, and based on the received focus cross request information, accepts the request to perform a focus cross and the selection of two evaluation organizations. The reception unit 110 generates information to identify the two evaluation organizations that have been selected (hereinafter referred to as "selected organization identification information"), and outputs the generated information to the information acquisition unit 120.

[0074] The information acquisition unit 120 acquires the selected institution identification information from the reception unit 110. Once the information acquisition unit 120 has acquired the selected institution identification information from the reception unit 110, it acquires the disclosure information disclosed by the user company from the disclosure information database 160. Furthermore, the information acquisition unit 120 acquires ESG evaluation information of the user company from the evaluation information database 150, which is provided by each of the two evaluation organizations identified by the acquired selection organization identification information.

[0075] Furthermore, the information acquisition unit 120 obtains information (answer information) from the answer information database 170 that indicates the answers to the questions regarding the evaluation criteria items adopted by each of the two evaluation organizations identified by the acquired selection organization identification information. Furthermore, the information acquisition unit 120 obtains comment information and weight methodology information from the response information database 170 regarding the evaluation criteria items adopted by each of the two evaluation organizations identified by the acquired selection organization identification information. Furthermore, the information acquisition unit 120 obtains importance information for the evaluation criteria items adopted by each of the two evaluation organizations identified by the acquired selection organization identification information from the item table mentioned above.

[0076] Furthermore, if analysis using Focus Single has already been performed for each of the two evaluation organizations selected by the user, and the information acquisition unit 120 has already acquired the above-mentioned information, the already acquired information may be used with Focus Cross.

[0077] When the information acquisition unit 120 acquires each of the above pieces of information, it outputs each piece of acquired information to the information generation unit 130.

[0078] The information generation unit 130 acquires the above information from the information acquisition unit 120. Once the information generation unit 130 acquires the information from the information acquisition unit 120, it uses the acquired information to perform analysis using focus cross and generates information for displaying the results (hereinafter referred to as "focus cross display information").

[0079] An example of analysis using Focus Cross is the calculation of importance distribution information. The importance in Focus Cross, like the importance in Focus Single described above, represents the magnitude of the impact that a user company's response has on its own (user company's) evaluation. For example, the importance in Focus Cross represents the magnitude of the impact that a user company's response has on its own (user company's) evaluation, whether it is a user company's response to items of evaluation criteria adopted by two or more evaluation agencies selected by the user, or a user company's response to each item of two or more disclosure criteria selected by the user, or a user company's response to items of evaluation criteria and one or more disclosure criteria adopted by one or more evaluation agencies selected by the user. For example, the information generation unit 130 first sets the total upper limit of importance by multiplying the upper limit of importance by the total number of evaluation organizations selected by the user. Then, the information generation unit 130 calculates distribution information based on the total upper limit of importance, which is distribution information of importance included in management information linked to the evaluation criteria items adopted by each of the two evaluation organizations selected by the user.

[0080] The distribution information is a distribution chart (histogram) that displays the distribution of importance for each category, which is set by dividing the range from the lower limit of importance, "0," to the upper limit of the total importance into predetermined ranges (e.g., evenly). The importance displayed in the distribution chart is the sum of the importance values ​​for each item that is pre-linked as a common item in the common item table mentioned above, and is an item of the evaluation criteria adopted by each of the two evaluation agencies selected by the user. This allows the user to easily understand how the importance of each item of the evaluation criteria adopted by each of the two selected evaluation agencies is distributed.

[0081] Another example of analysis using focus cross is calculating the number of common items for each corresponding status. For example, the information generation unit 130 calculates the number of common items for each response status (response policy or improvement progress). Since one common item may contain two or more items, one common item may have two or more response statuses. If there are two or more different response statuses, the information generation unit 130 can, according to a predetermined rule, preferentially adopt one of the response statuses and then count the number of common items.

[0082] Another example of analysis using focus cross is the addition of benchmark companies. FocusCross allows users to add benchmark companies and compare analysis results with their own. This makes it easy for users to compare their own disclosed information with that of benchmark companies, for each common item. Adding benchmark companies will be explained later.

[0083] When the information generation unit 130 performs the analysis described above, it generates focus cross display information for displaying the analysis results and outputs the generated information to the information output unit 140.

[0084] The information output unit 140 acquires focus cross display information from the information generation unit 130. Once the information output unit 140 acquires the focus cross display information from the information generation unit 130, it transmits the acquired information to the user terminal UT. When the user terminal UT receives information for displaying the focus cross from the information output unit 140, it displays a screen on its display showing the analysis results using the focus cross (hereinafter referred to as the "focus cross analysis screen") based on the received information.

[0085] An example of the focus cross analysis screen is shown in Figure 4. This example shows a case where the user has selected "S&P CSA (2025)" and "FTSE (2026)" as two rating agencies. As shown in Figure 4, the focus cross analysis screen consists of the "Analysis Summary" field 401 and the "Analysis Items" field 402.

[0086] The "Analysis Summary" column 401 displays the distribution chart (histogram) 4011 described above. In generating the distribution chart 4011, the information generation unit 130 uses the value obtained by multiplying the upper limit of the importance score by the total number of evaluation institutions selected by the user as the total upper limit of importance. Here, the upper limit for the importance score is "5," and the total number of evaluation agencies selected by the user is "2." Therefore, the total upper limit for importance is "10 (= 5 × 2)." In Figure 4, this total upper limit is displayed as "Maximum Importance: 10." Furthermore, the information generation unit 130 divides the range from the lower limit of importance "0" to the total upper limit of importance "10" into five equal parts, setting a total of five categories. Specifically, for the range of importance from 0 to 10, it sets five categories: "importance 1-2", "importance 3-4", "importance 5-6", "importance 7-8", and "importance 9-10". Here, the number of divisions is set to "5", but the number of divisions is not limited to "5" and can be any value. Also, here, the information generation unit 130 sets the categories by dividing the range from the lower limit of importance to the total upper limit into equal parts, but the information generation unit 130 is not necessarily limited to dividing into equal parts, and may set the categories by dividing the range from the lower limit to the total upper limit into predetermined ranges. The information generation unit 130 then displays the distribution of importance for each set category. Here, the importance displayed in the distribution diagram 4011 is represented by the sum of the numerical values ​​of the indicators corresponding to each of the evaluation criteria items adopted by each of the two selected evaluation organizations, which are pre-linked as common items. For example, items with common concepts between the evaluation criteria adopted by "S&P CSA (2025)" and the evaluation criteria adopted by "FTSE (2026)" are pre-linked as common items in the common items table. In the example in Figure 4, item A of the evaluation criteria adopted by "S&P CSA (2025)" and item B of the evaluation criteria adopted by "FTSE (2026)" are linked as common items under the topic of "climate change" and the category of "targets." Furthermore, the importance of item A is "5," and the importance of item B is also "5." In this case, the importance of this common item is "10 (=5+5)," which is the sum of the importance of both. In this way, the importance level is calculated for each common item, and the calculation results are displayed as distribution chart 4011. In the example in Figure 4, there are six common items with an importance level of "9-10", two common items with an importance level of "7-8", three common items with an importance level of "5-6", one common item with an importance level of "3-4", and one common item with an importance level of "1-2". The information generation unit 130 may also generate focus cross display information in the distribution diagram 4011 in such a manner that the color of the graph changes according to its importance. For example, the information generation unit 130 may generate focus cross display information in such a manner that graphs corresponding to "importance levels 1 to 2" are displayed in green, and the color of the corresponding graphs changes to red as they approach "importance levels 9 to 10".

[0087] Furthermore, in the "Analysis Summary" section 401, the number of common items for each corresponding status, as described above, is displayed in a bar graph indicated by symbol 4012. In the example in Figure 4, there is one common item whose response policy (labeled "Analysis Results" in the figure) is "Postponed," and five common items whose response policy is "Implement Improvement." In addition, in the example in Figure 4, there are two common items whose improvement progress is "Not yet addressed," two common items whose progress is "Shared," five common items whose progress is "In Progress," and one common item whose progress is "On Hold."

[0088] A detailed breakdown of the distribution chart 4011 is shown in the "Analysis Items" column 402. This "Analysis Items" column 402 displays the common items mentioned above. For example, the common items in the first row are common items in the topic of "climate change" and the category of "targets," and as mentioned above, they include item A of the evaluation criteria adopted by "S&P CSA (2025)" and item B of the evaluation criteria adopted by "FTSE (2026)." The importance of these common items is "10," which is the sum of the importance of item A ("5") and the importance of item B ("5"). The common items in the second row are common items in the topics of "Right to Collective Bargaining, Right to Organise, and Labor-Management Dialogue" and the category of "Responsibilities and Roles," and as mentioned above, they include item C of the evaluation criteria adopted by "S&P CSA (2025)" and item D of the evaluation criteria adopted by "FTSE (2026)." The importance of these common items is "10," which is the sum of the importance of item C ("5") and the importance of item D ("5"). Furthermore, the information generation unit 130 may also generate focus cross display information such that the display pattern changes according to the value of the importance displayed in the analysis item column 402. For example, the information generation unit 130 may generate focus cross display information such that the lower the importance, the closer the color is to green, and the higher the importance, the closer the color is to red.

[0089] Furthermore, the distribution chart 4011 displayed in the "Analysis Summary" column 401 and the breakdown displayed in the "Analysis Items" column 402 may be linked to each other. For example, when a user operates the user terminal UT and selects a category from the categories displayed in the distribution chart 4011, the common items corresponding to the selected category may be displayed in the "Analysis Items" column 402. In this case, the reception unit 110 accepts from the user the selection of any category from the categories set in the distribution diagram 4011 displayed as distribution information. When the reception unit 110 receives the category selection from the user, it generates information to identify the accepted category (hereinafter referred to as "category identification information") and outputs the generated information to the information generation unit 130. The information generation unit 130 acquires classification identification information from the reception unit 110. Upon acquiring classification identification information from the reception unit 110, the information generation unit 130 generates information to display common items corresponding to the importance of the selected classification on the same screen as the screen displaying the distribution map 4011, based on the acquired information. The information output unit 140 outputs the information generated by the information generation unit 130 to the user terminal UT. As a result, when a user selects any classification from the classifications displayed on the distribution map 4011, the common items corresponding to the selected classification are displayed in the "Analysis Items" column 402.

[0090] The "Company Disclosure Information" section displays links to the disclosure information that the company has provided regarding the relevant common item. By clicking on these links, users can view and review the company's disclosure information regarding the relevant common item on their screen.

[0091] In the "Analysis Items" section 402, the "Analysis Results," "Next Action," "Responsible Department," "Improvement Status," "Tags," "Comments," and "Last Updated" fields display the corresponding information from the management information mentioned above: response status information, next action information, responsible department information, tag information, comment information, and last updated information. Note that in the example in Figure 4, specific values ​​are partially displayed in each of the above fields, but when the focus cross analysis screen is first displayed, the above fields display default values. Users can modify the contents of the "Importance," "Analysis Results," "Next Action," "Responsible Department," "Improvement Status," "Tags," and "Comments" fields on this focus cross analysis screen by operating the user terminal UT. For example, users can modify the contents of each of the above fields by operating the user terminal UT and selecting the desired content from a pull-down menu or by directly entering text.

[0092] When a user changes the contents of each of the above fields and instructs the display to update through the prescribed operation, the focus cross analysis screen is updated. Specifically, when a user changes the contents of each of the above fields and instructs the display to be updated through a predetermined operation, the user terminal UT generates information (update instruction information) that includes the contents changed by the user and the update instruction, and transmits the generated information to the information processing device 100. The receiving unit 110 of the information processing device 100 receives update instruction information from the user terminal UT. When the receiving unit 110 receives update instruction information from the user terminal UT, it outputs the received update instruction information to the information generation unit 130. The information generation unit 130 obtains update instruction information from the reception unit 110. Upon obtaining the update instruction information from the reception unit 110, the information generation unit 130 performs an analysis based on the obtained update instruction information to reflect the changes made by the user, generates focus cross display information for displaying the analysis results, and outputs the generated information to the information output unit 140. When the information output unit 140 obtains focus cross display information from the information generation unit 130, it transmits the obtained information to the user terminal UT. When the user terminal UT receives information for displaying the focus cross from the information output unit 140, it displays the focus cross analysis screen again on the display based on the received information. This updates the focus cross analysis screen. In particular, when the user changes the "analysis results" and "improvement status" on the focus cross analysis screen, the bar graph 4012 showing the number of common items for each corresponding status is also changed accordingly.

[0093] Furthermore, when the reception unit 110 of the information processing device 100 receives update instruction information from the user terminal UT, it reflects the changes made by the user in the item table and the response information database 170 based on the received update instruction information. After this reflection is completed, information for displaying the focus cross is generated based on the reflected content, and a focus cross analysis screen based on this information is displayed on the user terminal UT's display.

[0094] Additionally, users can add the aforementioned benchmark companies. For example, the user operates the user terminal UT and presses the "Add Benchmark Company" button 403 at the top of the focus cross analysis screen. When the user presses the "Add Benchmark Company" button 403, the user terminal UT displays a predetermined additional company selection screen on its display. From this additional company selection screen, the user selects the company to be compared. When a user selects a company to be compared, the user terminal UT generates information (hereinafter referred to as "benchmark addition instruction information") that includes information identifying the selected company and information instructing the addition of a benchmark company, and transmits the generated information to the information processing device 100. The reception unit 110 of the information processing device 100 receives benchmark addition instruction information from the user terminal UT. Upon receiving the benchmark addition instruction information from the user terminal UT, the reception unit 110 outputs the received information to the information acquisition unit 120. The information acquisition unit 120 acquires benchmark addition instruction information from the reception unit 110. Upon acquiring the benchmark addition instruction information, the information acquisition unit 120 acquires disclosure information disclosed by the benchmark companies selected by the user based on the acquired information. In this case, the information acquisition unit 120 acquires disclosure information disclosed by the benchmark companies with respect to two evaluation organizations selected by the user, namely S&P CSA (2025) and FTSE (2026). The source of the disclosure information may be the disclosure information database 160, or it may be publicly available information of the benchmark companies published on the network.

[0095] The information acquisition unit 120 acquires the disclosure information for each of the evaluation organizations selected by the user, using the most recent year as the base year. For example, if a user selects "S&P CSA (2025)" and "FTSE (2026)" as two rating agencies, the most recent year, "2026," will be used as the base year, and the system will retrieve the benchmark company disclosures for both rating agencies for 2026. If no disclosures exist for the base year, the information retrieval unit 120 will retrieve disclosures from previous years. The information acquisition unit 120 outputs the acquired disclosure information to the information generation unit 130.

[0096] The information generation unit 130 obtains the disclosed information of the benchmark companies from the information acquisition unit 120. Once the information generation unit 130 obtains the disclosed information of the benchmark companies from the information acquisition unit 120, it generates information for displaying the focus cross again and outputs the generated information to the information output unit 140. For example, the information generation unit 130 adds a column (area) to the "Company Disclosure Content" field in the "Analysis Items" field 402 of the focus cross analysis screen to display the disclosure information of the benchmark company. Furthermore, the information generation unit 130 analyzes the disclosure information of benchmark companies and identifies the sections of that disclosure information that correspond to common items. The information generation unit 130 then generates links to the identified sections and displays the generated links in the added column. This allows users to easily compare the disclosure information they themselves have disclosed with the disclosure information disclosed by benchmark companies for each common item.

[0097] <Focus Cross Details Screen> Next, we will explain the detailed screen of the analysis results using Focus Cross. An example of the detailed screen of the analysis results using Focus Cross is shown in Figure 5.

[0098] The user operates the user terminal UT to instruct the display of the detailed screen from the focus cross analysis screen described above using a predetermined method. When the user instructs the display of the detailed screen, the user terminal UT generates information indicating that the detailed screen has been instructed to be displayed (hereinafter referred to as "detailed display instruction information") and transmits the generated information to the information processing device 100. The receiving unit 110 of the information processing device 100 receives detailed display instruction information from the user terminal UT. Upon receiving the detailed display instruction information from the user terminal UT, the receiving unit 110 outputs the received information to the information generation unit 130. The information generation unit 130 obtains detailed display instruction information from the reception unit 110. Upon obtaining the detailed display instruction information from the reception unit 110, the information generation unit 130 generates information for displaying the detailed screen (hereinafter referred to as "detailed display information") and outputs the generated information to the information output unit 140. When the information output unit 140 obtains detailed display information from the information generation unit 130, it transmits the obtained information to the user terminal UT. When the user terminal UT receives the detailed display information from the information output unit 140, it displays the detailed screen on its display based on the received information.

[0099] In the example shown in Figure 5, as indicated by symbol 501, the user has selected five categories to be included in the detailed display as filtering criteria. Here, four categories have been selected from the topic "Environment / General": "Policies / Commitments," "Objectives," "Responsibilities / Roles," and "Risk Management." One category, "Policies / Commitments," has been selected from the topic "Energy." In the example in Figure 5, as shown by symbol 502, two items from the evaluation criteria adopted by "FTSE" that correspond to the selected "Policy / Commitment" and three items from the evaluation criteria adopted by "S&P CSA" that correspond to the selected "Policy / Commitment" are displayed side by side. The number of items that correspond to "Policy / Commitment" is displayed as "Relevant items: 2" for "FTSE" and as "Relevant items: 3" for "S&P CSA". In addition, the importance, evaluation result (response or score), and responsible department are displayed for each item.

[0100] Furthermore, in the example in Figure 5, the average importance of each item (rounded to the first decimal place) is displayed as the importance of the evaluation organization. For example, in the evaluation agency "FTSE," the importance of the two items corresponding to "Policy and Commitment" is "2" and "1," respectively, so the average importance is 1.5 (=(2+1) / 2). Therefore, "2," rounded to the first decimal place, is the importance value according to the evaluation agency "FTSE" (symbol 5021). Similarly, for example, in "S&P CSA," the importance of the three items corresponding to "Policy & Commitment" is "5," "4," and "3," respectively. Therefore, the average importance is 4 (=(5+4+3) / 3). Thus, "4," rounded to the first decimal place, is the importance value for the rating agency "S&P CSA" (symbol 5022). The sum of the importance level of "FTSE" (2) and "S&P CSA" (4) is displayed as an importance level of "6" in the category "Policies & Commitments" selected by the user (code 5031).

[0101] In the example shown in Figure 5, the fields for "Importance," "Analysis Results," "Next Action," "Responsible Department," "Improvement Status," "Tags," and "Comments" are displayed on the right side of the details screen indicated by symbol 503. While specific values ​​are partially displayed in each of these fields, when the details screen is first displayed, the default values ​​are shown in each of these fields. By operating the user terminal UT, users can change the contents of the "Importance," "Analysis Results," "Next Action," "Responsible Department," "Improvement Status," "Tags," and "Comments" fields from this details screen. For example, a user can change the contents of each of the above fields by operating the user terminal UT and selecting the desired content from a pull-down menu or by directly entering text. When a user changes the contents of each of the above fields and instructs the display to update through the prescribed operation, the details screen will be updated. The specific procedure for updating is the same as the procedure for updating the Focus Cross Analysis screen described above.

[0102] This concludes the explanation of Focus Single and Focus Cross. In the above explanation, we described an example in which, in Focus Cross, the information generation unit 130 calculates importance distribution information included in management information linked to evaluation criteria items adopted by each of the two evaluation organizations selected by the user. However, the information generation unit 130 is not limited to calculating distribution information based on importance; it can use any indicator, such as priority or urgency. In that case, the indicator can be set for each ESG evaluation item in the item table described above, for example.

[0103] Furthermore, the above explanation described an example where the distribution information is a histogram. However, the distribution information is not limited to histograms; it may also be other types of distribution diagrams, such as frequency polygons.

[0104] Furthermore, the above explanation of FocusCross described an example where the user selects two rating agencies. However, in FocusCross, the user may select two or more disclosure standards. Even when two or more disclosure standards are selected, the basic operation is the same as when two rating agencies are selected. For example, the information acquisition unit 120 only needs to acquire management information that is linked to each of the two or more selected disclosure criteria items, and which includes at least information that indicates an indicator related to that item using a numerical value or a symbol corresponding to that numerical value. Furthermore, the information generation unit 130 may use the value obtained by multiplying the upper limit of the numerical values ​​of the indicators included in the management information acquired by the information acquisition unit 120 by the total number of selected disclosure standards as the total upper limit of the indicators, calculate distribution information based on the total upper limit of the indicators, which is the distribution information of the indicators included in the management information linked to each item of the two or more selected disclosure standards, and generate information for displaying the calculated distribution information. Furthermore, the information output unit 140 only needs to transmit the information generated by the information generation unit 130 to the user terminal UT. Furthermore, in FocusCross, users may select a mix of evaluation agencies and disclosure standards, such as one or more evaluation agencies and one or more disclosure standards.

[0105] Furthermore, in the above explanation, in the case of Focus Single, an example was described in which the reception unit 110 accepts the selection of one evaluation body or one disclosure standard from multiple evaluation bodies and / or multiple disclosure standards from the user terminal UT. In the case of Focus Cross, an example was described in which the reception unit 110 accepts the selection of two evaluation bodies from multiple evaluation bodies and / or multiple disclosure standards from the user terminal UT. However, for example, the information processing device 100 may pre-register the selection of one evaluation agency or one disclosure standard, or two evaluation agencies, from the user terminal UT, and set the selected one evaluation agency or one disclosure standard, or two evaluation agencies, as the default for the registration result. In that case, the registration unit 110 may be omitted.

[0106] Figure 6 is a flowchart showing the information processing method realized by executing the information processing program related to the disclosed technology, as a processing procedure. Figure 6A is a flowchart showing the processing procedure for focus single, and Figure 6B is a flowchart showing the processing procedure for focus cross. As shown in Figure 6A, the information processing method for focus singles implemented by the information processing program includes an acceptance procedure ST110, an information acquisition procedure ST120, an information generation procedure ST130, and an information output procedure ST140. The number assigned to each processing procedure corresponds to the code of the entity that executes that procedure. For example, the reception procedure ST110 is executed by the reception unit 110, the information acquisition procedure ST120 is executed by the information acquisition unit 120, the information generation procedure ST130 is executed by the information generation unit 130, and the information output procedure ST140 is executed by the information output unit 140.

[0107] In Focus Single, when the information processing program relating to the disclosed technology is executed, the reception unit 110 executes the reception procedure ST110, the information acquisition unit 120 executes the information acquisition procedure ST120, then the information generation unit 130 executes the information generation procedure ST130, and the information output unit 140 executes the information output procedure ST140. However, the execution of the reception procedure ST110 by the reception unit 110 may be omitted. Alternatively, after the information output procedure ST140, a target value reception procedure ST150 may be executed in which the reception unit 110 receives target value information from the user terminal UT. In that case, the process returns to ST130, and in the information generation procedure ST130, the information generation unit 130 calculates the above-mentioned additional response number based on the target value information and generates the focus single display information again. However, the execution of the target value reception procedure ST150 is not mandatory and may be omitted.

[0108] As shown in Figure 6B, the information processing method for focus crosses implemented by the information processing program includes a reception procedure ST110, an information acquisition procedure ST120, an information generation procedure ST130, and an information output procedure ST140. The number assigned to each processing procedure corresponds to the code of the entity that executes that procedure. For example, the reception procedure ST110 is executed by the reception unit 110, the information acquisition procedure ST120 is executed by the information acquisition unit 120, the information generation procedure ST130 is executed by the information generation unit 130, and the information output procedure ST140 is executed by the information output unit 140.

[0109] In FocusCross, when the information processing program relating to the disclosed technology is executed, the reception unit 110 executes the reception procedure ST110, the information acquisition unit 120 executes the information acquisition procedure ST120, then the information generation unit 130 executes the information generation procedure ST130, and the information output unit 140 executes the information output procedure ST140. However, the execution of the reception procedure ST110 by the reception unit 110 may be omitted. Furthermore, after the information output procedure ST140, a category selection acceptance procedure ST160 may be executed in which the reception unit 110 accepts the selection of any category from the categories set in the histogram. In that case, the process returns to ST130, and in the information generation procedure ST130, the information generation unit 130 should regenerate focus cross display information to display common items corresponding to the indicator (e.g., importance) corresponding to the selected category on the same screen as the screen where the histogram is displayed. However, the execution of the category selection acceptance procedure ST160 is not mandatory and may be omitted.

[0110] This disclosed technology can also be implemented as an information processing program. The information processing program relating to this disclosed technology includes: an acceptance procedure ST110 that accepts the selection of two or more targets from multiple evaluation organizations and / or multiple disclosure standards; an information acquisition procedure ST120 that acquires management information linked to at least one of the evaluation standard items or disclosure standard items adopted by the evaluation organizations accepted in the acceptance procedure ST110, which includes information indicating indicators related to said items with numerical values ​​or symbols corresponding to said numerical values; an information generation procedure ST130 that calculates the distribution information of indicators included in the management information linked to at least one of the evaluation standard items or disclosure standard items adopted by the selected evaluation organizations, based on the total upper limit of the numerical values ​​of the indicators included in the management information acquired in the information acquisition procedure ST120, multiplies the total number of selected evaluation organizations and / or disclosure standards by the total upper limit of the indicators, and generates information for displaying the calculated distribution information; and an information output procedure ST140 that outputs the information generated in the information generation procedure ST130. Furthermore, the information processing program relating to the disclosed technology may cause a computer to execute the aforementioned evaluation information extraction procedure (not shown).

[0111] Figure 7 shows the hardware configuration 200 of the information processing device 100 according to the disclosed technology. As shown in Figure 7, the hardware configuration 200 of the information processing device 100 includes a communication interface 210, an input / output interface 220, a processor 230, and a memory 240.

[0112] The information processing device 100 according to the disclosed technology comprises a receiving unit 110, an information acquisition unit 120, an information generation unit 130, and an information output unit 140, all of which are implemented by a processing circuit. Specifically, the information processing device 100 includes a processing circuit for executing a receiving procedure ST110, an information acquisition procedure ST120, an information generation procedure ST130, and an information output procedure ST140. The processing circuit is a processor 230 (also referred to as a CPU, central processing unit, processing unit, arithmetic unit, microprocessor, microcomputer, or DSP) that executes an information processing program stored in the memory 240.

[0113] The functions of the reception unit 110, information acquisition unit 120, information generation unit 130, and information output unit 140 are realized by software, firmware, or a combination of software and firmware. The software and firmware are written as information processing programs and stored in the memory 240. The processing circuit realizes the functions of each unit by reading and executing the information processing programs stored in the memory 240. In other words, the information processing device 100 includes a memory 240 for storing information processing programs that, when executed by the processing circuit, result in the execution of the reception procedure ST110, the information acquisition procedure ST120, the information generation procedure ST130, and the information output procedure ST140. It can also be said that these information processing programs cause a computer to execute the procedures or methods of the reception unit 110, the information acquisition unit 120, the information generation unit 130, and the information output unit 140. Here, the memory 240 may be, for example, a non-volatile or volatile semiconductor memory such as RAM, ROM, flash memory, or EPROM. Furthermore, the memory 240 may be configured to include a disk such as a magnetic disk, flexible disk, optical disk, compact disk, minidisc, or DVD. In addition, the memory 240 may be configured as an HDD or SSD.

[0114] <Integration Example> The information processing method, information processing program, information processing device, and information processing system related to the disclosed technology can be integrated, for example, into an automated ESG report generation system. An automated ESG report generation system automatically generates information for outputting a predetermined report (document) in a fixed format based on ESG evaluation information, and enables the output of the report based on the generated information. For example, it is installed on user terminals (UT). When the information output unit 140 of the information processing device 100 outputs the focus cross display information generated by the information generation unit 130 to the user terminal UT, it instructs the ESG report automatic generation system installed in the user terminal UT to automatically generate a report that summarizes the risk trends for each item according to the indicator (e.g., importance) based on the analysis results from the focus cross included in the focus cross display information, and to output the report in a format that conforms to a specified format. The automated ESG report generation system, following the instructions, automatically generates a report summarizing the risk trends for each item according to the indicators, based on the analysis results from Focus Cross, and outputs the report in a specified format. This allows users to easily obtain a report summarizing the risk trends for each item according to the indicators.

[0115] Furthermore, the information processing method, information processing program, information processing device, and information processing system related to the disclosed technology can be integrated into, for example, a score improvement support system. The score improvement support system, for example, proposes and supports specific improvement actions that can be taken to improve a company's ESG score based on analysis results from Focus Cross, and is implemented, for example, on user terminals (UT). When the information output unit 140 of the information processing device 100 outputs the focus cross display information generated by the information generation unit 130 to the user terminal UT, it instructs the score improvement support system installed in the user terminal UT to propose and support specific improvement actions that can be taken to improve the ESG score of the company (user company) based on the analysis results from the focus cross included in the focus cross display information. The score improvement support system, following the instructions and based on the analysis results from Focus Cross, automatically generates improvement tasks, for example, sends information indicating the generated improvement tasks to the relevant department, and sets the task's execution deadline or progress status. The score improvement support system also generates a next action list based on indicators such as importance, and displays this list on the screen. In doing so, the score improvement support system dynamically controls the displayed content according to the analysis results from Focus Cross. This allows users to understand specific improvement actions they can take to improve their company's ESG score.

[0116] As described above, the information processing program relating to this disclosed technology is designed to cause a computer to execute the following: an information acquisition procedure ST120, which acquires management information that includes information indicating an indicator related to an item by numerical value or a symbol corresponding to the numerical value, which is linked to at least one of the items of the evaluation criteria or disclosure criteria adopted by an evaluation organization included in two or more targets selected from multiple evaluation organizations and / or multiple disclosure criteria; an information generation procedure ST130, which calculates distribution information of indicators included in the management information linked to at least one of the items of the evaluation criteria or disclosure criteria adopted by the selected evaluation organizations, based on the total upper limit of the numerical value of the indicator included in the management information acquired in the information acquisition procedure ST120, multiplying the total number of selected evaluation organizations and / or disclosure criteria by the total upper limit of the indicator, and generates information for displaying the calculated distribution information; and an information output procedure ST140, which outputs the information generated in the information generation procedure ST130. As a result, the information processing program relating to this disclosed technology, when executed on a computer, enables the analysis of cross-sectional indicators across two or more subjects selected from multiple evaluation bodies and / or multiple disclosure standards. Furthermore, with the conventional system exemplified in Patent Document 1 mentioned above, while users can distinguish between a company's ESG score and ESG rating from multiple rating agencies, there is a problem in that they cannot get an overview of the indicators assigned to each item. In addition, in the conventional system, the concepts of some items overlap (are common) among the rating agencies, making it difficult to grasp the items that have high priority for action when reviewing the evaluations of each rating agency from an overview perspective. In this regard, according to the information processing program related to the disclosed technology, users can take an overview of the indicators assigned to each item and easily identify items that require high priority.

[0117] Furthermore, the information processing program relating to this disclosure technology may cause a computer to execute an acceptance procedure that accepts the selection of two or more evaluation organizations, two or more disclosure standards, or one or more evaluation organizations and one or more disclosure standards as targets from among a group consisting of multiple evaluation organizations, a group consisting of multiple disclosure standards, or a group including multiple evaluation organizations and multiple disclosure standards, and in the information acquisition procedure, management information linked to at least one of the evaluation standard items or disclosure standard items adopted by the evaluation organizations selected in the acceptance procedure may be acquired. This enables the information processing program related to this disclosure technology to analyze cross-sectional indicators across two or more evaluation bodies, or two or more disclosure standards, or one or more evaluation bodies and one or more disclosure standards. Furthermore, users can obtain the analysis results of cross-sectional indicators across two or more evaluation bodies, or two or more disclosure standards, or one or more evaluation bodies and one or more disclosure standards.

[0118] Furthermore, the distribution information may also be a histogram displaying the distribution of the indicator for each predetermined range, which is set by dividing the range from the lower limit of the indicator to the upper limit of the total value of the indicator into predetermined ranges. As a result, the information processing program relating to this disclosed technology can provide users with the analysis results of indicators spanning two or more subjects in an easily understandable manner. Furthermore, users can easily grasp the analysis results of indicators spanning two or more subjects.

[0119] Furthermore, the indicators displayed in the histogram may be represented by the sum of the numerical values ​​of the indicators corresponding to each of the items that are pre-linked as common items, which are either items of the evaluation criteria adopted by the selected evaluation agency or items of the selected disclosure criteria. As a result, the information processing program related to this disclosed technology can display the sum of indicator values ​​for items linked as common items in a histogram. Furthermore, users can easily grasp the analysis results of indicators across two or more targets.

[0120] Furthermore, the information processing program relating to the disclosed technology may cause a computer to execute a category selection acceptance procedure ST160 that accepts the selection of any category from the categories set in the histogram, generate information for displaying evaluation criteria items or disclosure criteria items corresponding to the indicators corresponding to the categories accepted in the category selection acceptance procedure ST160 on the same screen as the screen displaying the histogram, and output information in the information output procedure ST140 may output the information generated in the information generation procedure ST130. As a result, the information processing program relating to this disclosed technology can link the categories set in the histogram with the display of evaluation criteria items or disclosure criteria items on the screen where the histogram is displayed. Furthermore, the user can arbitrarily select which categories to display evaluation criteria items or disclosure criteria items on the screen where the histogram is displayed.

[0121] Furthermore, the evaluation criteria items or disclosure criteria items displayed on the same screen as the histogram may be displayed for each common item that has been linked in advance. As a result, the information processing program relating to this disclosed technology can link the categories set in the histogram with the display of evaluation criteria items or disclosure criteria items on a screen where the histogram is displayed, for each common item. Furthermore, the user can arbitrarily select the categories for which common items are displayed on the screen where the histogram is displayed.

[0122] Furthermore, the management information includes information indicating the response status to at least one of the evaluation criteria items adopted by the selected evaluation body or the disclosure criteria items, and the information indicating the response status may include at least one of the following: information regarding the progress of response to the item and information regarding the response policy for the item. As a result, the information processing program related to this disclosure technology enables cross-sectional analysis across two or more subjects selected from multiple evaluation bodies and multiple disclosure standards, and allows analysis based on compliance status. Furthermore, users can obtain cross-sectional analysis results across two or more subjects selected from multiple evaluation bodies and multiple disclosure standards, and analysis results based on compliance status.

[0123] Furthermore, the indicator may also be the importance of the item. This allows the information processing program related to this disclosure technology to perform cross-sectional importance analysis across two or more subjects selected from multiple evaluation bodies and multiple disclosure standards. In addition, users can obtain the results of the cross-sectional importance analysis across two or more subjects selected from multiple evaluation bodies and multiple disclosure standards.

[0124] Furthermore, importance represents the magnitude of the impact that a user company's response to the evaluation criteria items adopted by two or more selected evaluation organizations, or to each of the disclosure criteria items of two or more selected organizations, or to the evaluation criteria items and disclosure criteria items of one or more selected evaluation organizations, has on the user company's evaluation. This allows the information processing program related to this disclosure technology to conduct a cross-sectional analysis of the magnitude of the impact that a user company's response to items related to the selected subject has on the user company's evaluation. Additionally, users can obtain the results of a cross-sectional analysis of the magnitude of the impact that their own company's response to items related to the selected subject has on their own evaluation.

[0125] Furthermore, in the information acquisition procedure ST120, management information is acquired that is linked to an item of an evaluation criterion adopted by one evaluation body, or an item of a disclosure criterion, selected from multiple evaluation bodies and / or multiple disclosure criterions, and includes at least information indicating the response status for that item. In the information generation procedure ST130, the response achievement rate is calculated using the number of items of which the response status indicated by the information included in the management information acquired in the information acquisition procedure ST120 is "no response required" as the denominator, and the number of items of which the response status indicated by the information included in the management information acquired in the information acquisition procedure ST120 is "responsible" as the numerator, and information is generated to display the calculated response achievement rate. In the information output procedure ST140, the information generated in the information generation procedure ST130 may be output. As a result, the information processing program related to this disclosure technology can calculate and provide to the user the compliance rate for items of the evaluation criteria adopted by one evaluation body selected from multiple evaluation bodies and / or multiple disclosure standards, or for items of one disclosure standard. In addition, the user can understand the compliance rate for items of the evaluation criteria adopted by one evaluation body selected from multiple evaluation bodies and multiple disclosure standards, or for items of one disclosure standard.

[0126] Furthermore, in the information generation procedure ST130, the compliance achievement rate may be calculated for each section that includes multiple items of a single disclosure standard. As a result, the information processing program relating to this disclosed technology can calculate and provide the user with the compliance achievement rate for each section. Furthermore, the user can understand the compliance achievement rate for each section.

[0127] Furthermore, in the information generation procedure ST130, the compliance rate may be calculated for each topic that consists of multiple sections. As a result, the information processing program relating to this disclosed technology can calculate and provide to the user the achievement rate for each topic. Furthermore, the user can understand the achievement rate for each topic.

[0128] Furthermore, the information processing program relating to the disclosed technology may, when one evaluation agency is selected, cause the computer to execute a target value acceptance procedure ST150 that accepts input of target value information indicating the target score of the said evaluation agency; in the information generation procedure ST130, calculate the number of items that need to be addressed in order to achieve the target value indicated by the target value information, generate information to display the calculated number of items; and in the information output procedure ST140, output the information generated in the information generation procedure ST130. As a result, the information processing program relating to this disclosed technology can provide the user with the number of items that need to be addressed in order to achieve the target value indicated by the target value information. Furthermore, the user can easily grasp the number of items that need to be addressed in order to achieve the target value indicated by the target value information.

[0129] Furthermore, the information processing method relating to the disclosed technology is a computer-based information processing method comprising: an information acquisition procedure ST120 in which the computer acquires management information that includes information indicating an indicator related to an item by numerical value or a symbol corresponding to the numerical value, which is linked to at least one of the items of the evaluation criteria or disclosure criteria adopted by an evaluation organization included in two or more targets selected from multiple evaluation organizations and / or multiple disclosure criteria; an information generation procedure ST130 in which the computer acquires an information acquisition procedure ST120 by multiplying the upper limit of the numerical value of the indicator included in the management information acquired in the information acquisition procedure ST120 by the total number of selected evaluation organizations and / or disclosure criteria to obtain a total upper limit of the indicator, calculates distribution information of the indicator included in the management information linked to at least one of the items of the evaluation criteria or disclosure criteria adopted by the selected evaluation organizations, based on the total upper limit of the indicator, generates information for displaying the calculated distribution information; and an information output procedure ST140 in which the computer outputs the information generated in the information generation procedure ST130. This enables the information processing method related to the disclosed technology to analyze cross-sectional indicators across two or more subjects selected from multiple evaluation bodies and / or multiple disclosure standards.

[0130] Furthermore, the information processing device 100 relating to the disclosed technology includes an information acquisition unit 120 that acquires management information which includes information that indicates an indicator related to an item by numerical value or a symbol corresponding to the numerical value, and is linked to at least one of the items of the evaluation criteria or disclosure criteria adopted by an evaluation organization included in two or more targets selected from multiple evaluation organizations and / or multiple disclosure criteria, and the management information includes information that indicates an indicator related to the item by numerical value or a symbol corresponding to the numerical value; an information generation unit 130 that calculates a total upper limit of the indicator by multiplying the upper limit of the numerical value of the indicator included in the management information acquired by the information acquisition unit 120 by the total number of selected evaluation organizations and / or disclosure criteria, and generates distribution information based on the total upper limit of the indicator, which is distribution information of the indicator included in the management information linked to at least one of the items of the evaluation criteria or disclosure criteria adopted by the selected evaluation organization, and generates information for displaying the calculated distribution information; and an information output unit 140 that outputs the information generated by the information generation unit 130. As a result, the information processing device 100 relating to this disclosed technology will be able to analyze cross-sectional indicators across two or more targets selected from multiple evaluation organizations and / or multiple disclosure standards.

[0131] Furthermore, the information processing system relating to this disclosed technology includes: an information acquisition unit 120 that acquires management information linked to at least one of the evaluation criteria items or disclosure criteria items adopted by an evaluation organization included in two or more targets selected from multiple evaluation organizations and / or multiple disclosure criteria, and which includes information indicating an indicator related to the item with a numerical value or a symbol corresponding to the numerical value; an information generation unit 130 that calculates a total upper limit of the indicators by multiplying the upper limit of the numerical value of the indicators included in the management information acquired by the information acquisition unit 120 by the total number of selected evaluation organizations and / or disclosure criteria, and generates information for displaying the calculated distribution information, which is distribution information of the indicators included in the management information linked to at least one of the evaluation criteria items or disclosure criteria items adopted by the selected evaluation organizations, based on the total upper limit of the indicators; an information output unit 140 that outputs the information generated by the information generation unit 130; and a terminal UT that acquires the information output by the information output unit 140 and displays the distribution information based on the acquired information. As a result, the information processing system related to this disclosed technology will be able to analyze cross-sectional indicators across two or more subjects selected from multiple evaluation organizations and / or multiple disclosure standards, and display the results of said analysis. [Industrial applicability]

[0132] The information processing program, information processing method, information processing device, and information processing system related to the disclosed technology can be applied, for example, to a web service that provides ESG information, and have industrial applicability. [Explanation of Symbols]

[0133] 100 Information Processing Unit, 110 Reception Unit, 120 Information Acquisition Unit, 130 Information Generation Unit, 140 Information Output Unit, 150 Evaluation Information Database, 160 Disclosure Information Database, 170 Response Information Database, 200 Hardware Configuration, 210 Communication Interface, 220 Input / Output Interface, 230 Processor, 240 Memory, 301 Evaluation Criteria Summary Section, 302 Evaluation Item Analysis Section, 401 Analysis Summary Section, 402 Analysis Item Section, 403 Add Benchmark Company Button, 3011 Current Status Section, 3012 Score Improvement Section, 4011 Distribution Chart (Histogram), 4012 Bar Graph, UT User Terminal.

Claims

1. An information acquisition procedure for acquiring management information which includes information that indicates an indicator for the said item by numerical values ​​or a symbol corresponding to the numerical values, and which is linked to at least one of the items of the evaluation criteria or disclosure criteria adopted by an evaluation body that is included in two or more subjects selected from a plurality of evaluation bodies and / or a plurality of disclosure criteria for ESG, and which includes information that indicates an indicator for the said item by numerical values ​​or a symbol corresponding to the numerical values. An information generation procedure that generates information for displaying the calculated distribution information, which is obtained by multiplying the upper limit of the numerical value of the indicator included in the management information obtained in the information acquisition procedure by the total number of the selected evaluation organizations and / or disclosure standards, and calculating the distribution information of the indicator included in the management information that is linked to at least one of the evaluation standard items or disclosure standard items adopted by the selected evaluation organizations, based on the total upper limit of the indicator, An information output procedure for outputting the information generated in the information generation procedure, An information processing program that causes a computer to execute something.

2. The computer is instructed to execute a reception procedure that accepts the selection of two or more evaluation organizations, two or more disclosure standards, or one or more evaluation organizations and one or more disclosure standards as the target from among the group consisting of the multiple evaluation organizations, the group consisting of the multiple disclosure standards, or the group including the multiple evaluation organizations and the multiple disclosure standards. In the aforementioned information acquisition procedure, In the aforementioned application procedure, the management information linked to at least one of the evaluation criteria items or disclosure criteria items adopted by the evaluation organization that accepted the selection is obtained. The information processing program according to claim 1.

3. The aforementioned distribution information is, This is a histogram showing the distribution of the indicator for each predetermined section, which is set by dividing the range from the lower limit of the indicator to the total upper limit of the indicator into predetermined ranges. The information processing program according to claim 1.

4. The indicators displayed in the aforementioned histogram are: It is expressed as the sum of the numerical values ​​of the indicators corresponding to each of the items that are pre-linked as common items, which are either items of the evaluation criteria adopted by the selected evaluation body or items of the selected disclosure criteria. The information processing program according to claim 3.

5. The computer is instructed to execute a category selection acceptance procedure that accepts the selection of any category from the categories set in the histogram. In the information generation procedure, information is generated on the same screen as the screen on which the histogram is displayed, to display the evaluation criteria items or disclosure criteria items corresponding to the indicators selected in the category selection acceptance procedure. In the information output procedure, the information generated in the information generation procedure is output. The information processing program according to claim 3 or claim 4.

6. The evaluation criteria items or disclosure criteria items displayed on the same screen as the histogram are displayed for each common item that has been pre-associated. The information processing program according to claim 5.

7. The management information includes information indicating the status of compliance with at least one of the evaluation criteria items adopted by the selected evaluation body or the selected disclosure criteria items, The information indicating the response status includes at least one of the following: information regarding the progress of the response to the item and information regarding the response policy for the item. An information processing program according to any one of claims 1 to 4.

8. The aforementioned indicator represents the importance of the aforementioned items. An information processing program according to any one of claims 1 to 4.

9. The aforementioned importance is, This represents the magnitude of the impact on the evaluation of a user company, depending on how the user company responds to the evaluation criteria items adopted by each of the two or more selected evaluation organizations, or how the user company responds to each of the two or more selected disclosure criteria items, or how the user company responds to the evaluation criteria items and one or more disclosure criteria items adopted by one or more selected evaluation organizations. The information processing program according to claim 8.

10. In the aforementioned information acquisition procedure, The management information obtained includes at least information indicating the response status to the item, which is an item of an evaluation criterion adopted by one evaluation organization, or an item of a disclosure criterion, selected from the aforementioned multiple evaluation organizations and / or the aforementioned multiple disclosure standards. In the above information generation procedure, The number of items in the evaluation criteria adopted by the aforementioned evaluation organization, or the number of items in the aforementioned disclosure criteria, minus the number of items whose response status, as indicated by the information included in the management information acquired in the information acquisition procedure, indicates that no action is required, is used as the denominator to calculate the response completion rate, and information for displaying the calculated response completion rate is generated. In the information output procedure, the information generated in the information generation procedure is output. An information processing program according to any one of claims 1 to 4.

11. In the above information generation procedure, The achievement rate of compliance is calculated for each section that includes multiple items of the disclosure standard described above. The information processing program according to claim 10.

12. In the above information generation procedure, The achievement rate is calculated for each topic, which consists of multiple sections as described above. The information processing program according to claim 11.

13. If one evaluation agency is selected, the computer is instructed to execute a target value acceptance procedure to accept input of target value information indicating the target score of that evaluation agency. In the above information generation procedure, The system calculates the number of items that need to be addressed in order to achieve the target value indicated by the aforementioned target value information, and generates information to display the calculated number of items. In the information output procedure, the information generated in the information generation procedure is output. The information processing program according to claim 10.

14. A computer-based information processing method, The aforementioned computer, An information acquisition procedure for acquiring management information which includes management information linked to at least one of the evaluation criteria items or disclosure criteria items adopted by an evaluation body included in two or more subjects selected from multiple ESG evaluation bodies and / or multiple ESG disclosure criteria, and which includes information that indicates the indicator for said item with a numerical value or a symbol corresponding to said numerical value, An information generation procedure that generates information for displaying the calculated distribution information, which is obtained by multiplying the upper limit of the numerical value of the indicator included in the management information obtained in the information acquisition procedure by the total number of the selected evaluation organizations and / or disclosure standards, and calculating the distribution information of the indicator included in the management information that is linked to at least one of the evaluation standard items or disclosure standard items adopted by the selected evaluation organizations, based on the total upper limit of the indicator, An information output procedure for outputting the information generated in the information generation procedure, An information processing method that performs the following.

15. An information acquisition unit that acquires management information linked to at least one of the evaluation criteria items or disclosure criteria items adopted by an evaluation organization included in two or more subjects selected from multiple evaluation organizations and / or multiple disclosure criteria related to ESG, the management information including information that indicates an indicator related to the said item by a numerical value or a symbol corresponding to said numerical value, An information generation unit generates information for displaying the calculated distribution information, which is distribution information of indicators included in management information adopted by the selected evaluation organization, and is based on the total number of selected evaluation organizations and / or disclosure standards, obtained by multiplying the upper limit of the numerical value of the indicator included in the management information acquired by the information acquisition unit by the total number of selected evaluation organizations and / or disclosure standards, and generates information for displaying the calculated distribution information. An information output unit that outputs the information generated by the information generation unit, An information processing device comprising the above.

16. An information acquisition unit that acquires management information linked to at least one of the evaluation criteria items or disclosure criteria items adopted by an evaluation organization included in two or more subjects selected from multiple evaluation organizations and / or multiple disclosure criteria related to ESG, the management information including information that indicates an indicator for the said item by a numerical value or a symbol corresponding to said numerical value, An information generation unit generates information for displaying the calculated distribution information, which is distribution information of indicators included in management information adopted by the selected evaluation organization, and is based on the total number of selected evaluation organizations and / or disclosure standards, obtained by multiplying the upper limit of the numerical value of the indicator included in the management information acquired by the information acquisition unit by the total number of selected evaluation organizations and / or disclosure standards, and generates information for displaying the calculated distribution information. An information output unit that outputs the information generated by the information generation unit, A terminal that acquires the information output by the information output unit and displays the distribution information based on the acquired information, An information processing system comprising the above.

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