Information processing device and method, and program

Abstract

To provide an information processing device and method, and a program that propose a solution with appropriate specifications.SOLUTION: An information processing device stores both a determination criteria for determining a maturity level that is an index indicating the maturity of a business environment to which a measure is to be introduced and measure candidate data that is a collection of measure candidates associated with the maturity level. The information processing device reads data including at least one of data about the business environment and data about a performance, determines the maturity level based on the read data and determination criteria, and outputs a measure candidate associated with the determined maturity level from among the measure candidate data.SELECTED DRAWING: Figure 20

Description

[Technical field]

[0001] The present invention relates to an information processing device, method, and program, and is suitably applied to, for example, a policy proposal device that proposes policy candidates that can improve KPIs (Key Performance Indicators) of a company or the like. [Background technology]

[0002] In recent years, interest in environmental issues such as global warming, environmental destruction, and climate change has been growing internationally, and this has led to a rise in the movement for green transformation. Green transformation refers to activities aimed at creating a decarbonized society by switching the energy used by companies and other organizations from fossil fuels that generate greenhouse gases to green energy such as renewable energy.

[0003] Regarding green transformation, Japan has committed to reducing greenhouse gas emissions by 46% compared to 2013 levels by 2030 and achieving carbon neutrality by 2050, forcing companies and other entities to take concrete steps toward green transformation.

[0004] In relation to corporate environmental management, for example, Patent Document 1 discloses an environmental management analysis system that analyzes the maturity of an entity with regard to environmental management based on the entity's organizational structure for environmental management and presents proposal information for improving the entity's environmental management in accordance with the maturity level obtained. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] International Publication No. 2011 / 111796 Summary of the Invention [Problem to be solved by the invention]

[0006] However, in the environmental management analysis system disclosed in Patent Document 1, the maturity level is diagnosed only through a questionnaire evaluation, which poses the problem that the diagnosis may not be objective.

[0007] In such cases, it will be difficult for companies that need the measures to select an appropriate solution unless they properly understand the characteristics of the industry and the internal situation of the companies to which the measures will be applied, and they may end up selecting an over-specified or low-spec solution or an inefficient solution that requires custom development.

[0008] Furthermore, in Patent Document 1, the environmental management analysis system only presents maturity analysis results and reference information for management, but does not suggest solutions that should actually be implemented, which creates the problem that the business entity that receives the information must decide which solutions to actually implement.

[0009] The present invention has been made in consideration of the above points, and aims to provide an information processing device, method, and program capable of proposing solutions with appropriate specifications. [Means for solving the problem]

[0010] In order to solve such problems, the present invention provides an information processing device that outputs policy candidates for determining policies that can improve a certain indicator, and includes a data reading unit that reads data including at least one of data on the business environment and data on activity results, a memory unit that stores a judgment criterion for judging a maturity level, which is an indicator of the maturity of the business environment into which the policy is introduced, and policy candidate data, which is a set of policy candidates associated with the maturity level, a maturity level judgment unit that judges the maturity level based on the data and the judgment criterion read by the data reading unit, and an output unit that outputs policy candidates from the policy candidate data that are associated with the maturity level judged by the maturity level judgment unit.

[0011] In addition, the present invention provides an information processing method executed by an information processing device that outputs policy candidates for determining policies that can improve a certain indicator, wherein the information processing device stores judgment criteria for judging a maturity level, which is an indicator representing the maturity of the business environment in which the policy is introduced, and policy candidate data, which is a set of the policy candidates associated with the maturity level, and includes a first step of reading data including at least one of data on the business environment or data on activity results, a second step of judging the maturity level based on the read data and the judgment criteria, and a third step of outputting the policy candidates associated with the judged maturity level from the policy candidate data.

[0012] Furthermore, in the present invention, there is provided a program for causing an information processing device that outputs policy candidates for determining policies that can improve a certain indicator to execute a specified process, wherein the information processing device stores judgment criteria for judging a maturity level, which is an indicator representing the maturity of the business environment in which the policy is introduced, and policy candidate data, which is a set of the policy candidates associated with the maturity level, and the specified process includes a first step of reading data including at least one of data on the business environment or data on activity results, a second step of judging the maturity level based on the read data and the judgment criteria, and a third step of outputting the policy candidates associated with the judged maturity level from the policy candidate data.

[0013] According to the information processing device, method, and program of the present invention, it is possible to objectively determine the maturity level based on the business environment and activity results, and to propose policy candidates corresponding to that maturity level from among the policy candidate data. Effect of the Invention

[0014] According to the present invention, it is possible to propose solutions (candidate measures) with appropriate specifications. [Brief description of the drawings]

[0015] [Figure 1] 1 is a block diagram showing the overall configuration of a GX policy proposal system according to this embodiment. FIG. [Diagram 2] 13 is a diagram showing an example of the configuration of a user information table; [Diagram 3] 13 is a diagram showing an example of the configuration of an activity result data table. [Figure 4] 13 is a diagram showing an example of the configuration of an effort level determination rule table. [Diagram 5] 1 is a graph illustrating a method for determining an effort level based on an effort level determination rule. [Figure 6] 13 is a diagram showing an example of the configuration of a maturity level determination criteria table. [Figure 7] 13 is a diagram showing an example of the configuration of a maturity level history management table. [Figure 8] 13 is a diagram showing an example of a configuration of a maturity level corresponding measure table. [Figure 9] FIG. 4 is a diagram showing an example of a screen configuration of a menu screen. [Figure 10] FIG. 13 is a diagram showing an example of a screen configuration of a first maturity level diagnosis screen. [Figure 11] FIG. 13 is a diagram showing an example of a screen configuration of a first maturity level diagnosis screen. [Figure 12] FIG. 13 is a diagram showing an example of a screen configuration of a second maturity level diagnosis screen. [Figure 13] FIG. 13 is a diagram showing an example of a screen configuration of a first diagnosis result screen. [Figure 14] FIG. 13 is a diagram showing an example of a screen configuration of a second diagnosis result screen. [Figure 15] FIG. 13 is a diagram for explaining a GHG reduction proposal measure display bubble. [Figure 16] FIG. 13 is a diagram showing an example of a screen configuration of a trial calculation result display screen. [Figure 17] FIG. 13 is a diagram showing an example of the screen configuration of a third diagnosis result screen. [Figure 18] FIG. 13 is a diagram illustrating a third diagnosis result screen. [Figure 19] FIG. 13 is a diagram showing an example of the screen configuration of a data collection method setting / confirmation screen. [Figure 20] 13 is a flowchart showing a processing procedure of a GX policy proposal process. [Figure 21] 13 is a flowchart showing a processing procedure for maturity level evaluation processing. [Figure 22] 13 is a flowchart showing a processing procedure for investment return estimation processing. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0016] An embodiment of the present invention will now be described in detail with reference to the drawings.

[0017] (1) Configuration of the GX policy proposal system according to this embodiment In Fig. 1, 1 indicates a green transformation policy proposal system (hereinafter, this will be referred to as a GX policy proposal system) according to this embodiment as a whole. This GX policy proposal system 1 is configured with one or more clients 2, one or more network servers 3, and a green transformation policy proposal device (hereinafter, this will be referred to as a GX policy proposal device) 4.

[0018] The client 2 is a communication terminal device used by a user who receives a service (hereinafter, referred to as a GX policy proposal service) that proposes measures to increase the maturity level (hereinafter, referred to as a maturity level) of the business environment related to green transformation, which is provided by the GX policy proposal device 4 as described below. The client 2 is composed of a personal computer equipped with a CPU (Central Processing Unit), memory, input device, and display device, or a general-purpose computer device such as a smartphone or tablet. Each client 2 is connected to the GX policy proposal device 4 via a public communication network 5 such as the Internet. Each client 2 and the GX policy proposal device 4 may communicate securely using a VPN (Virtual Private Network) or SSL (Secure Sockets Layer).

[0019] The network server 3 is composed of, for example, a general-purpose server device that provides websites for the Ministry of the Environment, each company, and the industry associations to which each company belongs, and systems (ERP system, energy management system, manufacturing equipment management system, manufacturing execution system, etc.) that have been introduced in advance by companies that receive the GX policy proposal service, and is connected to the GX policy proposal device 4 via a network 5. The network server 3 may also be configured to send notifications securely to the GX policy proposal device 4 using VPN, SSL, etc., as necessary.

[0020] The GX policy proposal device 4 is a computer device installed by a business providing a GX policy proposal service (hereinafter, referred to as a GX policy proposal service business). However, a cloud server may be used as the GX policy proposal device 4. The GX policy proposal device 4 is configured with a CPU 10, a memory 11, a storage device 12, a communication device 13, an input device 14, and a display device 15.

[0021] The CPU 10 is a processor that controls the operation of the entire GX policy proposal device 4. The memory 11 is composed of semiconductors including a ROM (Read Only Memory), which is a non-volatile storage element, and a RAM (Random Access Memory), which is a volatile storage element. The ROM stores immutable programs (e.g., a Basic Input / Output System (BIOS)). The RAM is a high-speed, volatile storage element such as a DRAM (Dynamic Random Access Memory), and temporarily stores programs executed by the CPU 10 and data used when the programs are executed.

[0022] The storage device 12 is composed of a large-capacity non-volatile storage device such as a hard disk device or SSD (Solid State Drive), and is used to store and hold programs and data that requires long-term storage. The programs stored in the storage device 12 are read from the storage device 12 to the memory 11 when the GX policy proposal device 4 is started or when necessary, and the CPU 10 executes the programs read to the memory 11, thereby executing various processes of the GX policy proposal device 4 as a whole, as described below.

[0023] The communication device 13 is composed of, for example, a NIC (Network Interface Card) and performs protocol control when the GX policy proposal device 4 communicates with the client 2 and the network server 3 via the network 5 .

[0024] The input device 14 is composed of, for example, a mouse, a keyboard, etc., and is used by the operator to input various commands and information. The display device 15 is composed of, for example, a liquid crystal display, an organic EL (Electro-Luminescence) display, etc., and is used to display various information. Note that, instead of the input device 14 and the display device 15, a touch panel in which these are integrated may be applied.

[0025] (2) Green transformation policy proposal function according to this embodiment Next, the green transformation policy proposal function (hereinafter, referred to as the GX policy proposal function) according to this embodiment installed in the GX policy proposal device 4 will be described. This GX policy proposal function is a function that provides a GX policy proposal service that evaluates the maturity level of a target organization or base (e.g., a factory, hereinafter, referred to as the target base) of a target user (hereinafter, referred to as the target user), and proposes candidates for policies (hereinafter, referred to as policy candidates) that can raise the maturity level to the target user based on the evaluation result. By raising the maturity level, various KPIs at the target base of the target user can be improved.

[0026] As a means for realizing such a GX policy proposal function, the memory 11 of the GX policy proposal device 4 temporarily stores a business environment data collection unit 20, an activity performance data collection unit 21, a login acceptance unit 22, a maturity level calculation unit 23, and a policy introduction value and cost calculation unit 24, which are read from the storage device 12. In addition, the storage device 12 of the GX policy proposal device 4 stores a business environment data table 25, a user information table 26, an activity performance data table 27, an effort level judgment rule table 28, a maturity level judgment criteria table 29, a maturity level history management table 30, a maturity level corresponding policy table 31, and a display screen pattern database 32.

[0027] The business environment data collection unit 20 is a program that has the function of periodically collecting various latest data on the business environment necessary for proposing green transformation measures from data resources such as each network server 3 via the network 5 and storing the data in the business environment data table 25 as business environment data.

[0028] For example, the business environment data collection unit 20 collects data on legal systems related to green transformation from the network server 3 that provides the website of the Ministry of the Environment, etc., and stores the data in the business environment data table 25. The business environment data collection unit 20 also collects data on rules and trends related to green transformation in the industry from the network server 3 that provides the websites of various industry associations, etc., and stores the data in the business environment data table 25. Furthermore, the business environment data collection unit 20 collects data related to green transformation and the management of each company, such as integrated reports, sustainability reports, and financial statements published on the websites of each company, and stores the data in the business environment data table 25.

[0029] The activity performance data collection unit 21 is a program that has the function of collecting the latest data required to estimate the performance of corporate activities at target locations from data resources (including the network server 3) such as target locations of each user (hereinafter referred to as the contracted user) such as a company that has entered into a service contract for the GX policy proposal service with the GX policy proposal service provider, either periodically or irregularly when triggered by the detection of some kind of event.

[0030] In practice, in the case of this embodiment, if the user is a contracted user, the GX policy proposal device 4 can collect various data required to propose policy candidates for raising the maturity level of each target base of the user, based on a contract between the GX policy proposal service provider and the contracted user.

[0031] Therefore, the activity result data collection unit 21 collects, via the network 5, sensor data output from sensors installed in various facilities at the target base of the contract user, various data related to decarbonization activities at the target base, and various data related to ERP (Enterprise Resources Planning) at the target base. Then, the activity result data collection unit 21 stores the collected data in the activity result data table 27 as activity result data.

[0032] The login acceptance unit 22 is a program having a function of accepting a login from a user who has transmitted a login request by operating the client 2. If the combination of the user ID and password of the user included in the login request is correct, the login acceptance unit 22 approves the login of the user.

[0033] The maturity level calculation unit 23 is a program having a function of evaluating the maturity level of a target base of a target user whose login has been approved by the login acceptance unit 22, and presenting the evaluation result to the target user.

[0034] In practice, the maturity level calculation unit 23 asks the target user questions regarding business environment data, activity performance data, and several evaluation items related to green transformation at the target base, and evaluates the maturity level of the target user at the target base based on the target user's answers to these questions, etc.

[0035] If the target user is a contracted user, this evaluation is made based on the responses of the target user to the questions for the several evaluation items, the business environment data stored in the business environment data table 25, the activity performance data of the target base of the target user stored in the activity performance data table, and the maturity level determination criteria described below stored in the maturity level determination criteria table 29.

[0036] In addition, if the target user is not a contracted user, the evaluation is made based on open information such as integrated reports, sustainability reports, and financial statements that the target user has made public on a website or the like, which is stored in the business environment data table 25, the target user's responses to such questions, and the effort level determination rules described below that are stored in the effort level determination rule table 28.

[0037] In addition, based on the evaluation result of the maturity level of the target user for the target base obtained as described above, the maturity level calculation unit 23 selects a policy candidate for improving the indicators of the target user at the target base from among several policy candidates described below stored in the maturity level corresponding policy table 31, and displays the selected policy candidate on the client 2 of the target user.

[0038] The policy introduction value / cost calculation unit 24 is a program having a function of calculating the policy candidates selected by the maturity level calculation unit 23 and the improvement effects of the indicators of the policy candidates, and presenting them to the target user.

[0039] In practice, the policy implementation value / cost calculation unit 24 calculates the implementation value and cost of the policy candidate selected by the maturity level calculation unit 23 based on the evaluation result of the maturity level of the target user's target base by the maturity level calculation unit 23 and the information of each policy candidate stored in the maturity level corresponding policy table 31, and displays the calculated implementation value (change in index over time) and cost on the client 2 of the target user.

[0040] On the other hand, the business environment data table 25 is a table in which data on legal systems related to green transformation, data on rules and trends related to green transformation in various industries, and data on integrated reports and sustainability reports related to green transformation of each company, collected by the business environment data collection unit 20, are stored as business environment data. The business environment data table 25 is updated as appropriate by the business environment data collection unit 20 when the stored data is updated, for example.

[0041] The user information table 26 is a table in which various information related to contract users (including former contract users who have already terminated their contracts with the GX policy proposal service provider) is stored. As shown in Fig. 2 as an example, the user information table 26 is configured with at least a user ID column 26A, a user name column 26B, an organization name column 26C, a target base column 26D, a base overview column 26E, a person in charge contact column 26F, a contract / cancellation date column 26G, an implemented policy column 26H, a data collection method column 26I, and a password 26J. In the example shown in Fig. 2, one record (row) in the user information table 26 corresponds to one contract user.

[0042] The user ID field 26A stores an identifier (user ID) unique to the corresponding contract user, and the user name field 26B stores the name of the contract user. The organization name field 26C stores the name of the organization that is the target of the GX policy proposal service for the contract user, and the target base field 26D stores the name of the target base of the GX policy proposal service for the organization.

[0043] Furthermore, the base overview column 26E stores an overview of the target base, such as its address, site area, and building floor area, and the person in charge contact column 26F stores contact information for the contract user, such as the telephone number and email address of the person in charge.

[0044] Furthermore, the contract / cancellation date column 26G stores the date on which the contracted user entered into a contract to use the GX policy proposal service with the GX policy proposal service provider, and, if the contracted user has already canceled the contract to use the GX policy proposal service, the date of cancellation.

[0045] Furthermore, in the already implemented policy column 26H, when the corresponding contract user has already implemented some policy for the target base, the identifier of the policy (hereinafter, referred to as a policy ID) is stored for each base.

[0046] Furthermore, the data collection method field 26I stores whether the activity performance data from each target base is collected manually or automatically by the GX policy proposal device 4 for each base and scope, and Scope 3 is stored for each category. Furthermore, the password field 26J stores the login password for the corresponding contract user to log in to the GX facility proposal device 4.

[0047] Therefore, in the example of Figure 2, for example, a user with a user ID of "MB000101" has a user name of "AAA Manufacturer", an organization name of the organization that is the target of the GX policy proposal service is "XX Manufacturing Department", the target bases are "X Factory" and "Y Factory", the contact telephone number of the person in charge is "03xxxxxxx", the email address is "h.sato@aaa.com", a contract for the GX policy proposal service was concluded with the GX policy proposal service provider on "Yyyymmdd", and the password for logging in to the GX policy proposal device 4 is set to "XXXX".

[0048] Figure 2 also shows that measures such as "X1", "X2", etc. have already been introduced at the user's "X Factory", and that data collection for at least "Scope 1", "Scope 2", and "Scope 3" Category 1 ("Cat 1") is being carried out "manually".

[0049] "Scope 1," "Scope 2," and "Scope 3" refer to the classification of greenhouse gas emissions (supply chain emissions) that occur during a series of processes (supply chain), such as the procurement of raw materials for a product, manufacturing, logistics, sales, and disposal.

[0050] "Scope 1" refers to the direct greenhouse gas emissions (amount) of a business entity itself, and "Scope 2" refers to the indirect greenhouse gas emissions (amount) associated with the use of electricity, heat, and steam supplied by other companies. "Scope 3" refers to indirect emissions (amount) other than "Scope 1" and "Scope 2," that is, emissions (amount) of others related to the activities of a business entity. "Scope 3" is sometimes managed separately into "Scope 3U (upstream of the supply chain)," which consists of eight categories that represent "activities related to purchased products and services in principle," and "Scope 3D (downstream of the supply chain)," which consists of seven categories that represent "activities related to sold products and services in principle." For details on the scopes, please refer to "Concepts for calculating supply chain emissions" published on the Ministry of the Environment's website (https: / / www.env.go.jp / earth / ondanka / supply_chain / gvc / files / tools / supply_Chain_201711_all.pdf)."

[0051] The activity record data table 27 is an example of a table in which activity record data indicating the activity record of a target base, collected by the activity record data collecting unit 21 from the target base of each contract user, is stored.

[0052] 3, this activity result data table 27 is configured to include at least a user ID column 27A, an update date and time column 27B, a target location column 27C, an activity item column 27D, and an activity result column 27E. In the activity result data table 27, one record (row) corresponds to the result data (activity result data) of one activity item collected from one target location of one contracted user.

[0053] The user ID field 27A stores the user ID of the corresponding contract user, and the update date and time field 27B stores the date and time when the record was last updated. The target location field 27C stores identification information (e.g., name) of the target location corresponding to the record of the contract user, and the activity item field 27D stores the name of the corresponding activity item. Furthermore, the activity result field 27E stores the activity result of the corresponding activity item, for example, in JSON format.

[0054] Therefore, in the example of Figure 3, for example, the activity result of the activity "Draft YY business process switching rules" at the target location "B Factory" of the contract user with the user ID "MB000200" is shown to be "YY business hours" is "XXX", "Equipment operation time" is "ZZZ", ...".

[0055] The effort level determination rule table 28 is a table in which determination criteria for determining the maturity level of a target user who is not a contract user based on the open information of the target user are stored as determination rules (hereinafter, these are referred to as effort level determination rules). As shown in Fig. 4, this effort level determination rule table 28 is configured with an effort level column 28A and an import level determination rule column 28B. In the effort level determination rule table 28, one record corresponds to one effort level determination rule (import level determination rule).

[0056] In this case, the "effort level" refers to the degree to which the user is working on green transformation. In this embodiment, for a user who is not a contract user, the maturity level of the user is calculated using the following formula:

number

[0057] The level column 28A stores the level value of the corresponding effort level ("Lv1" to "Lv7"), and the import level determination rule column 28B stores the requirements (import level determination rules) for determining that the target user is at the corresponding effort level.

[0058] Incidentally, Figure 4 is an example of a rule for determining the level of incorporation based on the "organizational LCA (life cycle assessment)" in the above-mentioned "concept of supply chain emissions calculation." "Organizational LCA" is an assessment method for evaluating greenhouse gas emissions not only from the procurement of raw materials, manufacturing, distribution, sales and disposal of a product, but also from the entire organizational (supply chain) activities of a business operator, including capital goods, business trips and commuting.

[0059] For example, "Lv3" in Figure 4 is a judgment criterion based on whether the target user has disclosed Scope 1 and Scope 2 data calculated based on the CO2 intensity indicated by standard organizations such as IDEA (Inventory Database for Environmental Analysis). If the target user has disclosed such data for the target base, the target base of the target user is judged to meet at least the maturity level "Lv3" conditions.

[0060] Furthermore, "Lv4" in Figure 4 is a judgment criterion that the target user has published Scope 3 data calculated based on the CO2 intensity indicated by standard organizations such as IDEA, and that the current greenhouse gas emissions have reached the goal set by the target user. For example, as shown in Figure 5, if the target user has set a goal of "achieving carbon neutrality by "T2"" in year "T1", and the CO2 emissions throughout the target user's supply chain in year "T1" are "V0", then the CO2 emissions throughout the target user's supply chain at the current time t are calculated using the following formula:

number

[0061] The maturity level judgment criteria table 29 is a table that stores judgment criteria for each maturity level of the target base of the contract user (hereinafter, this is called maturity level judgment criteria). Note that, hereinafter, this maturity level judgment criteria is also called "evaluation item" as appropriate.

[0062] In this embodiment, the maturity level is evaluated into seven levels (Level 1 (Lv1) to Level 7 (Lv7)) based on a comprehensive judgment using three judgment axes, namely, "organizational governance," "business establishment," and "DX degree," and multiple evaluation items are set for each of these "organizational governance," "business establishment," and "DX degree."

[0063] Then, for the target base of the contract user, the maturity level of the target base is judged for each judgment axis according to the above-mentioned maturity level judgment criteria. For each judgment axis, it is judged which evaluation item the target base is closest to. Specifically, the judgment method is based on the business environment data stored in the business environment data table 25 and the activity performance data stored in the activity performance table 27. In particular, when judging based on the activity performance data, the achievement status of the evaluation items is calculated as a percentage, and the level to which the evaluation item that is 100% satisfied belongs is set as the evaluation result of the target base. Furthermore, the overall maturity score of the target base is calculated from the evaluation results for each evaluation axis. As an example, the maturity score is calculated by averaging the evaluation results of each evaluation axis. Note that the calculation method of the evaluation result of each evaluation axis and the calculation method of the overall maturity score are merely examples, and other methods such as calculation with different weights for each evaluation axis are also possible.

[0064] In this case, "organizational governance" refers to a perspective for judging the extent to which activity goals are set for an organization and are thoroughly known and understood outside the company, and is judged based on a questionnaire survey of the target users and the contents of a sustainability report published by the organization to which the target users belong. "Business establishment degree" refers to a perspective for judging the extent to which business execution rules are set in departments and the extent to which the business execution rules are established in daily business, and is judged mainly based on the activity performance data stored in the activity performance data table 27. "DX degree" refers to a perspective for judging the extent and accuracy to which the digitization of data handled and business systemization (DX: digital transformation) are being advanced, and is judged based on the activity performance data stored in the activity performance data table 27.

[0065] Taking the above into consideration, the maturity level determination criteria table 29, as shown in FIG. 6, has records corresponding to each of the maturity levels 1 to 7, and these seven records are divided into an organizational governance column 29A, a business establishment column 29B, and a DX degree column 29C, corresponding to "organizational governance," "business establishment," and "DX degree," respectively.

[0066] In addition, the organizational governance column 29A, the business establishment column 29B and the digital transformation degree column 29C are further divided into a number of sub-columns 29D corresponding to each of the evaluation items previously set for each of the three evaluation axes of "organizational governance," "business establishment," or "digital transformation degree," and the evaluation criteria for the corresponding evaluation items at the corresponding maturity levels are stored in these sub-columns 29D.

[0067] Therefore, in the example of Figure 6, for "organizational governance," multiple evaluation items are set, such as "setting organizational goals" and "establishment of a promotion organization," for "job establishment," multiple evaluation items are set, such as "rules for carrying out work," and for "degree of digital transformation," multiple evaluation items are set, such as "digitalization of data" for each scope ("Scope 1," "Scope 2," and "Scope 3").

[0068] Also, in Figure 6, for example, the evaluation criteria for maturity level 1 ("Lv1 evaluation criteria") are as follows: for "Organizational governance," "Setting organizational goals" is "Not set," and for "Establishment of a promotion organization" is "Not established," for "Work entrenchment," "Work execution rules" is "Not specified," and for "DX degree," "Digitalization of data" is "Paper-based."

[0069] The maturity level history management table 30 is a table that stores the evaluation results of maturity level evaluations performed in the past for each contracted user. As shown in Fig. 7, this maturity level history management table 30 is configured with at least a user ID column 30A, a score calculation date and time column 30B, a target location column 30C, a maturity level column 30D, a maturity score column 30E, and an answered response column 30F. In the maturity level history management table 30, one record (row) corresponds to one maturity level evaluation result performed in the past for one contracted user.

[0070] The user ID field 30A stores the user ID of the corresponding contracted user, and the target location field 30C stores the name of the location of the contracted user whose maturity level was evaluated. The maturity level field 30D stores the maturity level determined for that location.

[0071] Furthermore, the maturity score column 30E stores the maturity score, which is the overall evaluation result calculated from the evaluation results for each evaluation axis of the base calculated when evaluating the maturity level, and the score calculation date and time column 30B stores the date and time when the maturity score was calculated and registered in the maturity level history management table 30.

[0072] Furthermore, the answered response column 30F stores the identification number of the question posed to the corresponding contracted user and the answer given by the contracted user to the question in, for example, JSON format.

[0073] Therefore, in the example of Figure 7, for example, in the maturity level evaluation of "Factory A" conducted on "2023 / 05 / 12 13:24" for a contracted user with a user ID of "MB000101", the maturity level of "Factory A" was determined to be "3" and the maturity score was determined to be "42". Figure 7 also shows that the questions asked of the user at that time were "Q1", "Q2", "Q3", ... and the user's answers to these questions were "AAA", "BBB", "CCC", ... respectively.

[0074] The maturity level corresponding measure table 31 is a table that stores information on candidate measures for increasing the maturity level for each maturity level. As shown in Fig. 8, this maturity level corresponding measure table 31 is configured with at least a measure ID column 31A, a measure name column 31B, a solution owner column 31C, an implementation constraint column 31D, a reference price column 31E, an implementation value column 31F, an implementation record column 31G, and a response level score column 31H. In the maturity level corresponding measure table 31, one record (row) corresponds to one candidate measure for increasing the maturity level.

[0075] The policy ID column 31A stores an identifier (policy ID) unique to the corresponding policy candidate, and the policy name column 31B stores the name of the policy candidate. The solution owner column 31C stores the provider of the solution (hereinafter, called the owner) that is the policy candidate, and the implementation constraint column 31D stores constraint conditions for implementing the policy candidate.

[0076] Further, the reference price column 31E stores reference prices such as the initial cost and monthly cost when introducing the policy candidate, and the introduction value column 31F stores the value of introducing the policy candidate (the general effect expected when the policy candidate is introduced).Further, the introduction record column 31G stores the names of the user's bases that have introduced the policy candidate and the date of introduction, and the response level / score column 31H stores the effort level (if the target user is not a contracted user) and maturity score (if the target user is a contracted user) of the target bases where the policy candidate is to be introduced.

[0077] Therefore, in the example of Figure 8, the candidate policy "XX Optimization Solution" with the policy ID "S0001" is a policy in which "H Company DD Headquarters" will introduce the solution "XX Optimization Solution" owned by the "XX Optimization Solution" for bases with an effort level of "4" if the target user is not a contracted user, and a maturity score of "50-65" if the target user is a contracted user. It is shown that the introduction of the solution requires at least "installation of a dedicated server" with an OS named "xyz" and that the installation environment must be "abc".

[0078] Also, Figure 8 shows that, although the reference price for introducing this policy candidate solution is "Xxx million yen" per set, there is value in introducing it in terms of "maintaining and improving manufacturing efficiency," "reducing CO2 emissions," and "optimizing the energy usage portfolio," and that it has already been introduced at least by "Company S's X base" in "April 2014" and "Company C's Z factory" in "August 2015."

[0079] The display screen pattern database 32 is a database that stores screen data of templates of various screens to be displayed on the client 2 when diagnosing the maturity level. The maturity level calculation unit 23 and the policy introduction value / cost calculation unit 24 generate a necessary screen by using the screen data stored in the display screen pattern database 32, and transmit the screen data of the generated screen to the client 2, thereby causing the client 2 to display the screen.

[0080] (3) Screen layout Next, the screen configurations of various screens that the GX policy proposal device 4 displays on the client 2 in relation to the above-mentioned GX policy proposal function will be described.

[0081] 9 shows the screen configuration of the menu screen 40 that can be displayed on the client 2 by a predetermined operation. This menu screen 40 is a screen for the target user to specify how the user should answer questions about several evaluation items to be asked of the user in order to evaluate the current maturity level of the target base of the user, and how the evaluation result of the GX maturity level is displayed.

[0082] In practice, in the GX policy proposal device 4 of this embodiment, one or more questions are prepared in advance to confirm whether the target base of the target user satisfies each of the evaluation items described above in the maturity level judgment criteria table 29 of Figure 6.

[0083] The GX policy proposal device 4 allows the user to select the desired answering method for these questions from among a first answering method in which the user inputs answers in a question-and-answer format, a second answering method in which answers to several questions displayed in tabular form are input all at once, and a third answering method in which answers to several questions written in advance in an Excel (registered trademark) are directly input into that Excel (registered trademark), and then that Excel (registered trademark) is registered.

[0084] In reality, the menu screen 40 is provided with first to third answering method selection buttons 41, 42, 43 corresponding to the first to third answering methods, respectively. The user can select the answering method corresponding to the first to third answering method selection button 41-43 as the answering method to the question by clicking the first to third answering method selection button 41-43 corresponding to the desired answering method from among the first to third answering method selection buttons 41-43.

[0085] Then, for example, when the user clicks on the first response method selection button 41 to select the first response method, a first maturity level diagnosis screen 50 such as that shown in FIG. 10 or FIG. 11 is displayed on the client 2 in place of the menu screen 40.

[0086] In this first maturity level diagnosis screen 50, a first bubble 51 is displayed in the center of the screen, and within this first bubble 51, a string of characters 52 indicating the content of a question regarding the corresponding evaluation item and a number of option buttons 53 each corresponding to one of the answer options for the question are displayed.

[0087] Thus, the user can input an answer to the question by clicking an option button 53 that corresponds to an answer that is in line with the actual situation of the target location from among these option buttons 53. Then, when the user answers the question in this way, a second bubble 54 showing the answer corresponding to the option selected by the user at that time is displayed at the lower right of the first bubble 51.

[0088] In addition, a question transfer button 55 is provided in the first bubble 51, and if the current answerer (person in charge) cannot answer the question, by clicking this question transfer button 55, the question can be asked to be answered by another answerer.

[0089] In practice, when the question forwarding button 55 is clicked, an email creation form is displayed to other respondents, showing the question and answer options, and the user can forward the question to other respondents by email by inputting an address into the form. The other respondents who receive this email can then answer the question by selecting an answer that matches the actual situation of the target location from the answer options displayed in the email and replying.

[0090] When the user selects any of the option buttons 53, each time the user finishes inputting an answer to one question on the first maturity level diagnostic screen 50, a similar first maturity level diagnostic screen 50 for the next question is displayed in sequence as described above. In this manner, questions regarding several evaluation items are asked in sequence in a question-and-answer format.

[0091] Moreover, by answering all the questions, the user can cause the GX policy proposal device 4 to start diagnosing the maturity level of the target base of the user.

[0092] On the other hand, if the user clicks the second answering method selection button 42 (Figure 9) on the menu screen 40 to select the second answering method, a second maturity level diagnosis screen 60 containing a list of questions 61 related to maturity level diagnosis, as shown in Figure 12, for example, is displayed on the client 2 in place of the menu screen 40.

[0093] The question list 61 has small columns 62 for a plurality of question items corresponding to each level value (Lv.1 to LV.7) of the maturity level. Each small column 62 is displayed in gray when the target user has already answered the question, so that the answered question items can be recognized at a glance. In the example shown in FIG. 12, the small columns 62 for "Q1" and "Q2" are colored gray, indicating that the question has already been answered by the target user, and "Q3" is unanswered. The user can answer the question in each small column 62 by clicking the small column 62 regardless of whether it has been answered or not. The answer screen is in an interactive format similar to the examples shown in FIG. 10 and FIG. 11, and a question statement 52 equivalent to the question written in each small column 62 and choice buttons 53 for answers to the question are displayed.

[0094] Thus, the user can input an answer to the displayed question 52 by clicking on an option button 53 that corresponds to an answer that is in line with the actual situation of the target base from among the option buttons 53 that display answers to the displayed question 52. When the user answers, the second maturity level diagnosis screen 60 is displayed on the client 2 again.

[0095] In addition, the second maturity level diagnosis screen 60 has a back button 65 and a start diagnosis button 66 displayed at the bottom right of the screen. Thus, after answering some or all of the questions displayed in the question list 61, the user can return the display screen to the menu screen 40 by clicking the back button 65, and can start the diagnosis of the maturity level of the user's target base by clicking the start diagnosis button 66 in the GX policy proposal device 4.

[0096] Furthermore, when the user selects the third answering method by clicking the third answering method selection button 43 (FIG. 9) on the menu screen 40, a predetermined file selection screen (not shown) is displayed on the client 2 in place of the menu screen 40. Thus, the user can input his / her answers to some or all of the questions regarding the various evaluation items all at once by selecting the above-mentioned Excel (registered trademark) file prepared in advance on the file selection screen.

[0097] In addition, a back button and a diagnosis start button are displayed on the file selection screen. Thus, after answering some or all of the questions, the user can return the display screen to the menu screen 40 by clicking the back button, and can start the diagnosis of the maturity level of the target base of the user's own by clicking the diagnosis start button.

[0098] On the other hand, in the GX policy proposal device 4 of this embodiment, as examples of methods for displaying the diagnosis results of the maturity level of the target base of the user based on the results of the questionnaire collected from the user as described above, a first diagnosis result display method for displaying only the diagnosis result of the user, a second diagnosis result display method for displaying the diagnosis result of the user in comparison with other companies in the same industry, and a third diagnosis result display method for displaying the progress of the desired indicator (evaluation KPI (Key Performance Indicator)) up to the present and a roadmap to the goal are provided.

[0099] The menu screen 40 is provided with first to third diagnostic result display method selection buttons 44, 45, 46 corresponding to the first to third diagnostic result display methods, respectively. Thus, the user can select the display method corresponding to the first to third diagnostic result display method selection button 44-46 as the display method of the diagnostic result of the user's maturity level by clicking the first to third diagnostic result display method selection button 44-46 corresponding to the desired diagnostic result display method from among the first to third diagnostic result display method selection buttons 44-46.

[0100] Then, for example, when the user clicks the first diagnostic result display method selection button 44 to select the first diagnostic result display method, a first diagnostic result screen 70 such as that shown in FIG. 13 is displayed on the client 2 in place of the menu screen 40.

[0101] This first diagnosis result screen 70 displays a plane coordinate system 71 with the horizontal axis representing the green transformation effort level, the vertical axis representing the CO2 emission reduction rate from the base year of each company with the base year being 100%, and the size of the circle representing the net income or operating income (ROC) per CO2 emission. A first mark 72 associated with the target base of the target user is displayed on this plane coordinate system 71 at a coordinate position where the x-coordinate value represents the green transformation effort level at the target base of the target user and the y-coordinate value represents the CO2 emission reduction rate at the target base of the target user.

[0102] Also, on this plane coordinate 71, a second mark 73 indicating the median of the effort level of the industry to which the target user belongs is displayed at a coordinate position where the x-coordinate value is the median of the CO2 emission reduction rate of the industry and the y-coordinate value is the median of the CO2 emission reduction rate of the industry. This allows the target user to visually grasp how much the indicators such as the GX effort level, CO2 emission reduction rate, and ROC at his / her own maturity level differ from the industry median, based on this first diagnosis result screen 70.

[0103] A back button 74 is provided at the bottom right of the first diagnosis result screen 70, and by clicking this back button 74, the display screen of the client 2 can be returned to the menu screen 40.

[0104] On the other hand, if the user clicks the second diagnostic result display method selection button 45 (Figure 9) on the menu screen 40 to select the second diagnostic result display method, a second diagnostic result screen 80 such as that shown in Figure 14 is displayed on the client 2 in place of the menu screen 40.

[0105] This second diagnosis result screen 80 displays planar coordinates 81 similar to the planar coordinates 71 of the first diagnosis result screen 70 described above with reference to Figure 12, and first and second marks 82, 83 similar to the first and second marks 72, 73 of the first diagnosis result screen 70 are displayed on this planar coordinates 81.

[0106] Furthermore, on the second diagnosis result screen 80, in addition to the first and second marks 82, 83, a third mark 84 corresponding to each of the other companies in the industry to which the target user belongs is displayed at a coordinate position on a plane coordinate system 81 where the x-coordinate value represents the overall effort level of the companies and the y-coordinate value represents the overall CO2 emission reduction rate of the companies.

[0107] Based on this second diagnosis result screen 80, the target user can visually understand how indicators such as the GX initiative level, CO2 emission reduction rate, and ROC at his / her own maturity level differ from the industry median and other companies in the same industry.

[0108] A back button 85 is also provided at the bottom right of the second diagnosis result screen 80, and by clicking this back button 85, the display screen of the client 2 can be returned to the menu screen 40.

[0109] In addition, in the first and second diagnosis result screens 70, 80, by placing the cursor on the first mark 72, 82, a pop-up (hereinafter, referred to as a GHG reduction proposed measure display pop-up) 90 as shown in Fig. 15 can be displayed. In the GHG reduction proposed measure display pop-up 90, a bar graph 91 is displayed for each scope ("Scope 1", "Scope 2", "Scope 3U", and "Scope 3D"), which shows the amount of greenhouse gas (GHG) reduction due to various measures ("Measure A" to "Measure I" in Fig. 15) related to green transformation that the target user has already introduced at the target base, and the amount of greenhouse gas reduction when the candidate measures ("Measure 1" to "Measure 4" in Fig. 15) proposed by the GX measure proposal device 4 are further introduced.

[0110] In addition, on the first and second diagnosis result screens 70 and 80, the target user can select one of the desired policy candidates from among the policy candidates by clicking on the parts (the parts marked "Policy 1" to "Policy 4" in FIG. 15) on the bar graph 91 corresponding to the policy candidates proposed by the GX policy proposal device 4 displayed in the GHG reduction proposal policy display bubble 90. In this case, a predetermined evaluation KPI selection and trial calculation condition setting screen (not shown) is displayed on the client 2 in place of the first and second diagnosis result screens 70 and 80.

[0111] This evaluation KPI selection / calculation condition setting screen is a screen for setting the calculation conditions when estimating the return on investment related to the evaluation KPI specified by the target user when the policy candidate selected by the target user as described above (hereinafter, this will be referred to as the user-selected policy candidate) is introduced to the target base. In practice, the target user can use this evaluation KPI selection / calculation condition setting screen to set the evaluation KPI for which the annual trends should be estimated, and the calculation conditions for the estimation.

[0112] The "evaluation KPIs" here include business performance KPIs (business KPIs) such as business performance, sales volume, profits, and costs, and business operation KPIs (business KPIs) such as equipment productivity, shipping rate, and defect rate of a specific line when the target base is a factory. Additionally, environment KPIs (environmental KPIs) such as CO2 emissions and ROC of the target base, water usage when the target base is a factory, chemical compound usage fees, and biomass power generation are included. The evaluation KPI selection and calculation condition setting screen has buttons corresponding to each of these evaluation KPIs, and the target user selects the evaluation KPI for which annual trends should be calculated by clicking the button corresponding to the desired evaluation KPI from among these buttons.

[0113] In addition, on the evaluation KPI selection / calculation condition setting screen, the conditions required for estimating the annual trends of the evaluation KPI selected as described above can be set as calculation conditions. For example, if the target user selects manufacturing cost as the evaluation KPI, the target user can set calculation conditions such as the expected reduction in labor hours, labor costs, the target equipment, and the operation time and power consumption of the equipment. Furthermore, if there are items required for calculation even for evaluation KPIs that were not selected, the estimated value of the KPI can be set as the calculation condition.

[0114] 16 shows an example of the screen configuration of a trial calculation result display screen 100 which displays the results of trial calculation of the annual trend of the evaluation KPI selected on the evaluation KPI selection / trial calculation condition setting screen based on the trial calculation conditions set on that evaluation KPI selection / trial calculation condition setting screen. This trial calculation result display screen 100 is displayed on the client 2 in place of the evaluation KPI selection / trial calculation condition setting screen.

[0115] The trial calculation result display screen 100 includes a user-selected policy candidate summary display area 101 , a trial calculation condition display area 102 , and a trial calculation result display area 103 .

[0116] The user-selected policy candidate summary display area 101 displays at least the solution to be introduced, its introduction cost, and monthly fee as an overview of the user-selected policy candidate. The trial calculation condition display area 102 displays the trial calculation conditions set by the target user on the evaluation KPI selection / trial calculation condition setting screen. The trial calculation result display area 103 displays, for example, a line graph of the trial calculation results of the annual trends of the evaluation KPI selected by the target user on the evaluation KPI selection / trial calculation condition setting screen when the user-selected policy candidate is introduced. This allows the target user to confirm the introduction value of the policy candidate selected in the GHG reduction proposal policy display bubble 90 described above with reference to FIG. 15 when the user-selected policy candidate is introduced. As another embodiment, a method is also conceivable in which the user does not select the evaluation KPI, and the values ​​of the evaluation KPIs estimated based on the trial calculation conditions set by the user are all displayed for all evaluation KPIs.

[0117] In addition, a first back button 104 and a second back button 105 are provided at the bottom right of the trial calculation result display screen 100, and by clicking the first back button 104, the display screen can be returned to the original first or second diagnosis result screen 70, 80. This allows the target user to place the cursor on the first mark 72, 82 (FIGS. 13, 14) on the first or second diagnosis result screen 70, 80 to display again the GHG reduction proposed measure display bubble 90 described above in FIG. 15, and thus allows the target user to perform trial calculations of the yearly trends of the desired evaluation KPI for other measure candidates in the same manner as described above. In addition, the target user can return the display screen to the menu screen 40 (FIG. 9) by clicking the second button 105.

[0118] On the other hand, if the user clicks the third diagnostic result display method selection button 46 (Figure 9) on the menu screen 40 to select the third diagnostic result display method, a third diagnostic result screen 110 such as that shown in Figure 17 is displayed on the client 2 in place of the menu screen 40.

[0119] This third diagnosis result screen 110 displays plane coordinates 111 similar to the plane coordinates 71 of the first diagnosis result screen 70 described above with reference to Fig. 12. Then, on this plane coordinates 111, a fourth mark 112 representing the state of each year is displayed at a coordinate position corresponding to each of the current and past years, where the x-coordinate value is the effort level for green transformation in that year and the y-coordinate value is the CO2 emission reduction rate in that year, with the size of the circle being the ROC.

[0120] Also, on the plane coordinate system 111, a fifth mark 113 is displayed at a coordinate position where the y-coordinate value is the final CO2 emission reduction rate based on information made public in the target user's open information or registered by the target user through the GX maturity level diagnosis, and the x-coordinate value is the level of effort required to achieve the goal, along with a number indicating the year in which the goal is to be achieved.

[0121] Furthermore, a sixth mark 114 is displayed on the plane coordinates 111 in accordance with a roadmap plan for achieving the target CO2 emission reduction rate at the target base of the target user by the target fiscal year, which plan has been devised by the GX policy proposal device 4 based on the current target user's level of effort toward green transformation and the CO2 emission reduction rate.

[0122] The sixth mark 114 is displayed at a coordinate position where the x-coordinate value is the level of the green transformation effort at any point between the present and the target fiscal year when the plan is introduced, and the y-coordinate value is the predicted CO2 emission reduction rate at that point. In addition, when multiple roadmap plans are created by the GX policy proposal device 4, the sixth mark 114 is displayed corresponding to each plan.

[0123] Furthermore, adjacent fourth marks 112, the fourth marks 112 and each of the sixth marks 114 representing the state of the target location of the current target user, and the sixth marks 114 and each of the fifth marks 113 are connected by arrows 115 each pointing in the direction of the flow of time, and a character string 116 representing the plan name of the plan corresponding to the sixth mark 114 is displayed near the arrow 115 connecting the fourth mark 112 and the sixth mark 114 representing the state of the target location of the current target user.

[0124] In the third diagnosis result screen 110, by placing the cursor on the character string 116, a balloon 117 in which the outline of the plan is written is displayed on the plane coordinates 111, as shown in Fig. 18. This allows the target user to check the outline of each plan created by the GX policy proposal device 4.

[0125] A back button 118 is provided at the bottom right of the third diagnosis result screen 110, and by clicking this back button 118, the display screen of the client 2 can be returned to the menu screen 40.

[0126] 19 shows a data collection method setting / confirmation screen 120 that can be displayed on the client 2 by a predetermined operation. The data collection method setting / confirmation screen 120 is a screen for confirming the method of collecting various activity result data from each target location of the contracted user and for modifying the collection method, and is displayed based on the information stored in the data collection method column 26I (FIG. 2) of the corresponding record in the user information table 26 (FIG. 2).

[0127] This data collection method setting / confirmation screen 120 is configured with a data collection method list 121 having a record (row) for each target location of a target user. In this data collection method list 121, each record is divided into small columns 122 for "Scope 1," "Scope 2," and "Scope 3," and further for "Scope 3," each of the records is divided into small columns 122 for 15 categories ("cat 1" to "cat 15").

[0128] In some of these small columns 122, when the GX policy proposal device 4 collects activity performance data regarding the corresponding scope ("Scope 1" or "Scope 2") or the corresponding category ("cat 1" to "cat 15") of the corresponding scope ("Scope 3") at the corresponding target location, a mark is displayed indicating whether the data collection is being performed manually or automatically.

[0129] Specifically, if the corresponding data collection is being performed manually, a manual mark 123 indicating this is displayed, and if the data collection is being performed automatically, an automatic mark 124 indicating this is displayed. Note that nothing is displayed in the small column 122 where the corresponding data collection is not being performed.

[0130] In the data collection method setting / confirmation screen 120, by clicking a manual mark 123, the mark displayed in the corresponding sub-column 122 can be changed to an automatic mark 124 or a blank space where no data collection is being performed, and by clicking an automatic mark 124, the mark displayed in the corresponding sub-column 122 can be changed to either the manual mark 123 or a blank space.

[0131] As a result, if the data collection method for any scope at any target location is switched from manual to automatic due to digital transformation or the like, the mark displayed in the corresponding sub-column 122 can be switched to the automatic mark 124 by clicking the manual mark 123 in that sub-column 122.

[0132] Furthermore, on the data collection method setting / confirmation screen 120, when the mark displayed in any of the sub-columns 122 is switched from the manual mark 123 to the automatic mark 124 or from the automatic mark 124 to the manual mark 123 as described above, the information stored in the data collection method column 26I of the corresponding record in the user information table 26 can be updated to the changed content by clicking the registration button 125 displayed in the lower right of the screen. In another embodiment, when the registration button 125 is clicked, a confirmation screen (not shown) can be displayed so that the user can see the changed content and then register or correct it again. In yet another embodiment, it is also possible to immediately update the content of the user information table 26 when the user changes the content of the sub-column 122 without clicking the registration button 125.

[0133] The information stored in the data collection method column 26I of the user information table 26 is used when determining the evaluation items for digitalization.

[0134] (4) Various processes performed in relation to the GX policy proposal function Next, the specific processing contents of various processes executed in the GX policy proposal device 4 in relation to the GX policy proposal function will be described. Note that, in the following, the processing subject of various processes will be described as a program ("~ part"), but it goes without saying that in reality, the CPU 10 (FIG. 1) executes the process based on the program.

[0135] (4-1) GX policy proposal processing Figure 20 shows an example of the flow of a series of processes (hereinafter, referred to as GX policy proposal process) executed in the GX policy proposal device 4 in relation to the GX policy proposal function. The GX policy proposal device 4 evaluates the maturity level of the target base of the target user at that time according to the processing procedure shown in this Figure 20, and proposes to the target user a policy candidate for raising the maturity level (a policy candidate for improving the evaluation KPI of the target base of the target user).

[0136] In practice, the GX policy proposal device 4 starts this GX policy proposal process when a user login request is given from any of the clients 2. Then, first, the login acceptance unit 22 (FIG. 1) authenticates the target user at that time based on the user ID and password included in the login request, and executes a user login acceptance process to accept the login (S1).

[0137] If the login acceptance unit 22 can authenticate the target user, the maturity level calculation unit 23 causes the client 2 to display the menu screen 40 described above with reference to FIG. 9 (S2).

[0138] Then, when the first, second, or third answering method selection button 41, 42, or 43 (FIG. 9) in the menu screen 40 is clicked to select one of the first, second, or third answering methods, the maturity level calculation unit 23 executes a maturity level evaluation process to evaluate the maturity level of the target location of the target user (S3).

[0139] Specifically, the maturity level calculation unit 23 acquires and reads answers to some questions by displaying the first maturity level diagnosis screen 50 (when the first answering method is selected) described above with reference to Fig. 10 and Fig. 11, or the second maturity level diagnosis screen 60 (when the second answering method is selected) described above with reference to Fig. 12 on the client 2. Alternatively, as a third answering method, answers to some questions are acquired and read by registering a file on a registration screen for an Excel (registered trademark) file, not shown.

[0140] If the target user is not a contract user, the maturity level calculation unit 23 calculates the maturity level of the target location of the target user based on the content of the acquired and read answer and the open information of the target user. If the target user is a contract user, the maturity level calculation unit 23 calculates the maturity level and maturity score of the target location of the target user based on information such as the content of the acquired and read answer and the activity record data of the target location of the target user stored in the activity record data table 27.

[0141] Thereafter, the maturity level calculation unit 23 causes the first diagnosis result screen 70 described above with reference to FIG. 13 or the second diagnosis result screen 80 described above with reference to FIG. 14, which shows the evaluation results of the maturity level evaluation process, to be displayed on the client 2 of the target user (S4).

[0142] In addition, when the cursor is placed over the first mark 72, 82 on the first or second diagnosis result screen 70, 80 displayed on the client 2, the maturity level calculation unit 23 displays a GHG reduction proposed measure display bubble 90 (Figure 15) on the first or second diagnosis result screen 70, 80, which lists candidate measures for each scope ("Scope 1", "Scope 2", "Scope 3U", and "Scope 3D") for raising the maturity level at the target location of the target user (S5).

[0143] Specifically, the maturity level calculation unit 23 selects a candidate measure for raising the maturity level of the target location of the target user for each scope ("Scope 1", "Scope 2", "Scope 3U", and "Scope 3D") from the candidate measures registered in the maturity level corresponding measure table 31 (Figure 8).

[0144] In the case where the target user is not a contract user, this selection is performed by selecting a policy candidate whose action level of the target base of the target user calculated in the maturity level evaluation process in step S3 matches the action level stored in the action level / score column 31H (FIG. 8) of the maturity level corresponding policy table 31. If there are multiple such policy candidates in the maturity level corresponding policy table 31, the one that is estimated to have a high introduction effect by the policy introduction value / cost calculation unit 24 is selected.

[0145] Also, if the target user is a contracted user, the selection is performed by selecting a policy candidate whose effort level stored in the response level / score column 31H of the maturity level corresponding policy table 31 matches the effort level of the target base of the target user calculated in the maturity level evaluation process of step S3, and whose maturity score of the target base of the target user calculated in the maturity level evaluation process of step S3 is within the range of the maturity score stored in the response level / score column 31H. Note that even if there are multiple such policy candidates in the multiple maturity level corresponding policy table 31, the one that is estimated to have a high introduction effect by the policy introduction value / cost calculation unit 24 is selected.

[0146] Then, the maturity level calculation unit 23 calculates the amount of greenhouse gas reduction when the candidate policies selected as described above are introduced at the target location of the target user, and generates the GHG reduction proposed policy display bubble 90 described above with reference to Figure 15 based on the calculation result, and displays it on the first or second diagnosis result screen 70, 80.

[0147] Next, the maturity level calculation unit 23 waits for one of the policy candidates displayed in the GHG reduction proposed policy display bubble 90 to be selected, and when one policy candidate is selected, it calls the policy introduction value / cost calculation unit 24 (FIG. 1). When called by the maturity level calculation unit 23, the policy introduction value / cost calculation unit 24 executes an investment return calculation display process for calculating the investment return of the policy candidate selected by the target user at that time (user-selected policy candidate) (S6), and displays the calculation result display screen 100 described above with reference to FIG. 16 showing the calculation result on the target user's client 2 (S7).

[0148] Next, the maturity level calculation unit 23 judges whether or not to end the GX policy proposal process (S8). This judgment is made by waiting for either the first or second back button 104, 105 to be clicked on the trial calculation result display screen 100, and judging whether or not the second back button 105 was clicked when either the first or second back button 104, 105 was clicked.

[0149] If the maturity level calculation unit 23 obtains a negative result in this judgment, it returns to step S4 and displays the original first or second diagnosis result screen 70, 80 on the target user's client 2 (S4), and then repeats the processing of steps S4 to S8 until a positive result is obtained in step S8.

[0150] Then, when the second back button 105 on the trial calculation result display screen 100 is clicked and a positive result is obtained in step S8, the maturity level calculation unit 23 displays the menu screen 40 on the target user's client 2, and then ends the series of processes. This ends the GX policy proposal process.

[0151] In addition, if the first, second or third answering method is selected on the menu screen 40 and answers to several evaluation items are entered, and then the first or second diagnostic result display method selection button 44, 45 (Figure 9) is clicked, processing from step S3 onwards of the above-mentioned GX policy proposal processing is executed.

[0152] (4-2) Maturity level evaluation process Fig. 21 shows the specific processing contents of the maturity level evaluation processing executed by the maturity level calculation unit 23 in step S3 of the above-mentioned GX policy proposal processing (Fig. 20). The maturity level calculation unit 23 evaluates the maturity level of the target base of the target user according to the processing procedure shown in Fig. 21.

[0153] In practice, when the maturity level calculation unit 23 proceeds to step S3 of the GX policy proposal process, it starts the maturity level evaluation process shown in FIG. 21, and first waits for an instruction to start execution of the maturity level evaluation process by clicking the first or second response method selection button 41, 42 on the menu screen 40 described above with reference to FIG. 9 (S10).

[0154] Then, when the target user obtains a positive result in step S10 by clicking the first or second answering method selection button 41, 42, the maturity level calculation unit 23 identifies questions that the target user has previously answered from the answered response column 30F (Figure 7) of the record corresponding to the target location of the target user in the maturity level history management table 30 (Figure 7), and extracts several questions other than the identified questions (S11).

[0155] Next, the maturity level calculation unit 23 causes the target user's client 2 to display the first maturity level diagnosis screen 50 (when the first answering method selection button 41 is clicked) described above with reference to Figures 10 and 11, which displays the question extracted in step S11 and answer options corresponding to the question, or the second maturity level diagnosis screen 60 (when the second answering method selection button 42 is clicked) described above with reference to Figure 12 (S12).

[0156] When the second maturity level diagnosis screen 60 is displayed in step S12, all the small columns 62 other than the small columns 62 (Figure 12) in which the questions and their answer options extracted in step S11 are displayed are displayed blank.

[0157] Next, the maturity level calculation unit 23 accepts an answer input by the target user using the first or second maturity level diagnosis screen 50, 60 displayed on the client 2 of the target user (S13). The maturity level calculation unit 23 also associates the accepted answer with the question number of the question, and additionally stores the answer in the answered response column 30F (FIG. 7) of the record associated with the target base of the target user in the maturity level history management table 30 (FIG. 7) (S14).

[0158] Thereafter, the maturity level calculation unit 23 judges whether the target user has finished inputting answers to all the questions extracted in step S11 (S15). If the maturity level calculation unit 23 obtains a negative result in this judgment, it returns to step S12, and thereafter repeats the processes of steps S12 to S15 while sequentially switching the questions displayed in step S12 to questions that the target user has not answered among the questions extracted in step S11.

[0159] Then, when the target user finishes inputting answers to all the questions extracted in step S11 and thus obtains a positive result in step S15, the maturity level calculation unit 23 executes a level score calculation process to calculate the maturity level, etc. of the target user (S16).

[0160] Specifically, in step S16, if the target user is not a contracted user, the maturity level calculation unit 23 calculates the maturity level of the target user. Also, if the target user is a contracted user, the maturity level calculation unit 23 calculates the maturity level and maturity score of the target user.

[0161] For example, if the target user is not a contracted user, the maturity level calculation unit 23 first determines the effort level of the target user at the target base by referring to the effort level determination rule table 28 (Figure 4) based on the open information of the target user and the target user's answers to each question obtained in the processing of steps S12 to S15.

[0162] In addition, the maturity level calculation unit 23 obtains the operating profit and CO2 emissions so far this fiscal year from the open information of the target user, and calculates the ROC of the target user by performing the calculation of the above-mentioned equation (1) based on this obtained information.

[0163] On the other hand, if the target user is a contracted user, the maturity level calculation unit determines up to which maturity level evaluation criteria the target base of the target user satisfies, with reference to the maturity level determination criteria table 29 (Figure 6), based on the open information of the target user, the target user's answers to each question obtained in the processing of steps S12 to S15, and the activity history data of the target base of the target user registered in the activity history data table 27 (Figure 3).

[0164] Specifically, based on the various information described above, the maturity level calculation unit 23 determines whether or not the target locations of the target user satisfy all of the evaluation items defined as the evaluation criteria for a certain maturity level in the maturity level determination criteria table 29, and if all evaluation items are satisfied, it determines whether or not the target locations of the target user satisfy all of the evaluation items defined as the evaluation criteria for the next maturity level, repeating this process in order starting from the maturity level "Lv.1".

[0165] Then, when a maturity level that does not satisfy all the evaluation items appears, the maturity level calculation unit 23 determines the previous maturity level as the current maturity level of the target base of the target user.

[0166] The maturity level calculation unit 23 also calculates the ratio of the number of evaluation items that the target base of the target user meets the requirements for all evaluation items specified in the maturity level judgment criteria table 29 as the maturity score of the target base of the target user. Note that, depending on the setting of the maturity level evaluation items, it is also acceptable to determine that the target base has been cleared even if not all evaluation items are satisfied. This is because there may be a combination condition that requires, for example, two out of three evaluation items to be satisfied. In such a case, it is also acceptable to determine that the maturity level has been cleared not only when all evaluation items are satisfied, but also when a certain percentage of all evaluation items are satisfied, or when the above combination condition is satisfied.

[0167] Then, when the maturity level calculation unit 23 has finished calculating the maturity level of the target base of the target user as described above, as well as the maturity level and maturity score, it registers the maturity level and maturity score calculated for the target user, who is a contracted user, in the maturity level history management table 30, and then terminates this maturity level evaluation process.

[0168] (4-3) Return on investment calculation process FIG. 22 shows the specific contents of the investment return calculation process executed by the policy introduction value / cost calculation unit 24 (FIG. 1) in step S6 of the GX policy proposal process described above with reference to FIG.

[0169] When the policy introduction value / cost calculation unit 24 proceeds to step S6 of the GX policy proposal process, it starts the investment return calculation process shown in Fig. 22, and first waits for the target user to select a desired policy candidate from the policy candidates displayed on the client 2 in step S5 of the GX policy proposal process. Then, when the target user selects one of the policy candidates, the policy introduction value / cost calculation unit 24 accepts it (S20).

[0170] Then, the policy implementation value / cost calculation unit 24 displays the above-mentioned evaluation KPI selection / estimated calculation condition setting screen on the target user's client 2, and waits for the target user to set one or more desired evaluation KPIs and the estimate conditions required to estimate the annual trends of those evaluation KPIs on this evaluation KPI selection / estimated calculation condition setting screen (S21).

[0171] Then, when a positive result is obtained in step S21 by the target user completing setting of one or more desired evaluation KPIs and the calculation conditions necessary to estimate the annual trends of those evaluation KPIs on the evaluation KPI selection / calculation condition setting screen, the policy implementation value / cost calculation unit 24 accepts the selected evaluation KPI and the set calculation conditions (S22).

[0172] Next, the policy implementation value / cost calculation unit 24 estimates the annual time series trends of the evaluation KPIs received in step S22 based on the calculation conditions received in step S22 (S23), and then terminates this investment return calculation process and returns to the GX policy proposal process.

[0173] As a result, the above-mentioned calculation result display screen 100 shown in FIG. 16, which shows the calculation results of the time series trends of the evaluation KPIs selected by the target user by year, calculated in the above-mentioned return on investment calculation process, is displayed on the target user's client 2 in step S7 of the GX policy proposal process (FIG. 20).

[0174] (5) Effects of this embodiment As described above, the GX policy proposal device 4 of this embodiment judges the maturity level of the target user's target base based on the open information of the target user and the activity performance data acquired and read from the target base of the target user, and presents policy candidates for raising the maturity level to the target user based on the judgment result.

[0175] In this case, the GX policy proposal device 4 of this embodiment determines the maturity level of the target base of the target user by referring to the effort level determination rule table 28 and the maturity level determination criteria table 29, which store the determination rules or criteria for determining the effort level and maturity level of the target base of the target user, and therefore can objectively determine the maturity level based on the business environment and activity track record of the target base of the target user.

[0176] In addition, the GX policy proposal device 4 pre-stores a maturity level corresponding policy table 31 in which policy candidates for each effort level and maturity score are stored, and based on the maturity level judgment result for the target user's target base, it determines the policy candidates to be proposed to the target user by referring to the maturity level corresponding policy table 31, so that it can propose policy candidates (solutions) with specifications that are neither excessive nor insufficient.

[0177] Therefore, according to this embodiment, it is possible to realize a GX policy proposal device 4 that can propose policy candidates (solutions) with appropriate specifications.

[0178] (6) Other embodiments In the above-mentioned embodiment, the business environment data collection unit 20, the activity performance data collection unit 21, the login acceptance unit 22, the maturity level calculation unit 23 and the policy introduction value / cost calculation unit 24 are implemented in the GX policy proposal device 4 consisting of one computer device, but the present invention is not limited to this, and these programs may be distributed and placed in multiple computer devices that constitute a distributed computing system.

[0179] In the above embodiment, the screen configurations of the various screens that the GX policy proposal device 4 displays on the client 2 are as shown in Figures 9 to 19. However, the present invention is not limited to this, and various other screen configurations can be widely applied. [Industrial Applicability]

[0180] The present invention can be widely applied to various information processing devices that output candidate measures for determining measures that can improve a certain index. [Explanation of symbols]

[0181] 1...GX policy proposal system, 2...client, 4...GX policy proposal device, 10...CPU, 20...business environment data collection section, 21...activity performance data collection section, 22...login reception section, 23...maturity level calculation section, 24...policy introduction value / cost calculation section, 25...business environment data table, 26...user information table, 27...activity performance data table, 28...effort level determination rule table, 29...maturity level determination criteria table, 30...maturity level history management table, 31...maturity level corresponding policy table, 32...display screen pattern database, 40...menu screen, 50,60...first maturity level diagnosis screen, 70,80...diagnosis result screen, 90...GHG reduction proposal policy display pop-up, 100...trial calculation result display screen.

Claims

1. An information processing device that outputs a policy candidate for determining a policy that can improve a certain index, A data reading unit that reads data including at least one of data on business environment and data on activity results; A storage unit that stores a maturity level of the business environment into which the policy is to be introduced, and policy candidate data that is a set of the policy candidates associated with the maturity level; a maturity level determination unit that determines the maturity level based on the data read by the data reading unit and the determination criteria; an output unit that outputs a policy candidate associated with the maturity level determined by the maturity level determination unit, from among the policy candidate data; An information processing device comprising:

2. The data reading unit is periodically reading the latest data including at least one of the data on the business environment and the data on the activity results; The maturity level determination unit determines the maturity level based on the latest data read by the data reading unit.

2. The information processing apparatus according to claim 1,

3. The maturity level determination unit is The maturity level is determined based on the answers to the questions for each of a plurality of evaluation items and the data and / or the determination criteria read by the data reading unit.

2. The information processing apparatus according to claim 1,

4. The data reading unit is For a first user who can acquire data on the activity record, read the data on the activity record, and for a second user who cannot acquire data on the activity record, read the data on the business environment; The maturity level determination unit is For the first user, the maturity level is determined based on the data on the activity record and the judgment criteria stored in the storage unit, and for the second user, the maturity level is determined based on the data on the business environment and the judgment criteria stored in the storage unit.

2. The information processing apparatus according to claim 1,

5. An investment return calculation unit that calculates the investment return of the policy candidate output by the output unit, The output unit is The investment return calculation unit outputs the calculated investment return.

2. The information processing apparatus according to claim 1,

6. The indicator is KPIs (Key Performance Indicators) related to business, operations and / or the environment 2. The information processing apparatus according to claim 1,

7. An information processing method executed by an information processing device that outputs policy candidates for determining a policy that can improve a certain index, The information processing device includes: a maturity level of the business environment into which the policy is to be introduced, and policy candidate data that is a set of the policy candidates associated with the maturity level; A first step of reading data including at least one of data on business environment and data on activity performance; a second step of determining the maturity level based on the read data and the determination criteria; a third step of outputting the policy candidate associated with the determined maturity level from among the policy candidate data; An information processing method comprising:

8. In the first step, the information processing device periodically reading the latest data including at least one of the data on the business environment and the data on the activity results from a data source; In the second step, the maturity level is determined based on the latest data.

8. The information processing method according to claim 7,

9. In the second step, the information processing device The maturity level is determined based on the answers to the questions for each of a plurality of evaluation items, the read data, and the determination criteria.

8. The information processing method according to claim 7,

10. In the first step, the information processing device For a first user who can acquire data on the activity record, read the data on the activity record, and for a second user who cannot acquire data on the activity record, read the data on the business environment; In the second step, the information processing device For the first user, the maturity level is determined based on the data on the activity record and the determination criteria, and for the second user, the maturity level is determined based on the data on the business environment and the determination criteria.

8. The information processing method according to claim 7,

11. A fourth step of calculating a return on investment of the outputted policy candidate and outputting the calculated return on investment is further included.

8. The information processing method according to claim 7,

12. The indicator is KPIs (Key Performance Indicators) related to business, operations and / or the environment 8. The information processing method according to claim 7,

13. A program for causing an information processing device to execute a predetermined process, the program outputting a policy candidate for determining a policy that can improve a certain index, The information processing device includes: a maturity level of the business environment into which the policy is to be introduced, and policy candidate data that is a set of the policy candidates associated with the maturity level; The predetermined process is A first step of reading data including at least one of data on business environment and data on activity performance; a second step of determining the maturity level based on the read data and the determination criteria; a third step of outputting the policy candidate associated with the determined maturity level from among the policy candidate data; A program comprising:

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