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

Abstract

In the information processing methods implemented in conventional management support systems, the management issues and measures presented are based on management issues and measures that have proven successful at other companies, and do not necessarily apply accurately to the company in question. [Solution] In the management support system 10, the management device, which functions as an information processing device, has a trend analysis device analyze internal corporate information that belongs to a specified category from internal corporate information that is created in relation to corporate activities and classified into multiple categories based on predetermined criteria, extract corporate trend information that indicates trends in corporate activities, determine whether the extracted corporate trend information is new by referring to corporate trend extraction history information, and have a message generation device generate a message related to measures to carry out the future activity plan using corporate trend information that is determined to be new and future plan information related to the company's future activity plan.

Description

[Technical Field]

[0001] The present invention relates to an information processing method, an information processing device, and an information processing program that extract issues and problems related to management that a company faces and provide solutions to the extracted issues and problems. [Background technology]

[0002] Patent Document 1 discloses a decision support system that aims to provide appropriate information to support various decisions in organizational activities and supports user decisions, and that includes a processor that executes a program, a memory unit accessible by the processor, and an output unit that outputs data to display the execution results of the program.The system further includes an extraction unit that searches for a specified sentence expression from the data stored in the memory unit and extracts issues in the organization using words that have a specified relationship with the searched sentence expression, and a first selection unit that selects a second organization that has issues similar to those of the first organization being analyzed and selects measures to address the issues in the second organization from the data stored in the memory unit, and the output unit outputs data to display the selected issues and measures. Patent Document 2 discloses a computer program that acquires company information, identifies the company's problems and issues based on the company information, and outputs solution examples related to the identified problems and issues, and causes a computer to perform the following processes: acquire company information, identify the company's problems and issues based on the company information by referring to a memory unit that stores problems and issues, identify examples related to the problems and issues based on the identified problems and issues and the company information, and output the identified examples. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2018-142190 [Patent Document 2] Patent Publication No. 2021-060970 Summary of the Invention [Problem to be solved by the invention]

[0004] Conventionally, management support systems have been proposed that identify problems and issues related to organizational activities (corporate activities) faced by organizations such as companies and propose measures to address the identified problems and issues. In such management support systems, management issues and measures for a company (a company of interest) that wants to solve its management issues are proposed based on attribute information (corporate attribute information) about the company, such as the industry, sales volume, number of employees, number of years since establishment, and area of ​​operation, by accessing a database that accumulates past case information about management issues faced by other companies and the measures taken by them, and using case information about other companies with corporate attribute information similar to that of the company of interest.

[0005] In recent years, management support systems have been developed that use artificial intelligence (generative AI) that has been trained to use machine learning to understand the relationship between various corporate attribute information and the management issues that companies face, as well as the relationship between management issues that companies have previously faced and the measures they have been taking. These systems present measures to address the management issues of companies in the spotlight.

[0006] In conventional management support systems, the management issues and measures presented to the target company are based on management issues and measures that have proven successful at other companies, and in the case of management support systems that use generative AI, the system presents average measures derived from corporate attribute information similar to that of the target company and from many measures adopted by other companies that have management issues.As a result, the management issues and measures presented by conventional management support systems do not necessarily apply accurately to the target company.

[0007] The present invention aims to provide an information processing method, an information processing device, and an information processing program that extract management issues and problems taking into account the characteristics of a company of interest, and provide messages related to solutions and measures. [Means for solving the problem]

[0008] The invention of claim 1 is as follows:An information processing method performed by an information processing device, Internal information that belongs to a category designated by an operator among internal information created in relation to organizational activities carried out to achieve organizational goals and classified into multiple categories using predetermined criteria The text information contained in Trend analyzer By inputting and processing the text through analysis, analysis death Extract organizational trend information indicating the trends of organizational activities. Let me get it a trend analysis step, and the organizational trend information extracted by the trend analysis step is new organizational trend information different from previously extracted organizational trend information. In this case, the new organizational tendency information is presented to the operator, and if the operator determines that the presented organizational tendency information is not new but known, the result of the determination that it is new is changed to that it is known in accordance with an instruction from the operator, and if the operator determines that the presented organizational tendency information is new, a message is displayed indicating that the presented organizational tendency information is new and is a tendency of unconscious organizational activity. a trend determination step of determining whether a new organization has been identified by the trend determination step by referring to history information of the trend analysis step; It is an unconscious tendency in organizational activities. and future plan information relating to the future activity plan of the organization. Input into a message generator using artificial intelligence , and messages related to measures to carry out the future action plan. The aforementioned The message generator generates Get it and a message generating step of generating a message by the message processing unit. The invention of claim 2 relates to organizational information that is created in relation to organizational activities carried out to achieve organizational goals and is classified into multiple categories using predetermined criteria, and is used to identify organizational information that belongs to a category designated by an operator. The text information contained in Trend analyzer By inputting and processing the text through analysis, analysis death extracting organizational trend information indicating the trends of the organizational activities; and get The extracted organizational tendency information is new organizational tendency information that is different from previously extracted organizational tendency information. In this case, the new organizational tendency information is presented to the operator, and if the operator determines that the presented organizational tendency information is not new but known, the result of the determination that it is new is changed to that it is known in accordance with an instruction from the operator, and if the operator determines that the presented organizational tendency information is new, a message is displayed indicating that the presented organizational tendency information is new and is a tendency of unconscious organizational activity. The determination is made by referring to extraction history information related to the organizational tendency information, and a new It is an unconscious tendency in organizational activities. and future plan information relating to the future activity plan of the organization. Input into a message generator using artificial intelligence , and messages related to measures to carry out the future action plan. The aforementioned The message generator generates Get it The information processing device is characterized by: The invention of claim 3 is a computer that processes organizational information that belongs to a category designated by an operator among organizational information that is created in relation to organizational activities carried out to achieve organizational goals and is classified into a plurality of categories using predetermined criteria. The text information contained in Trend analyzer By inputting and processing the text through analysis, analysis death extracting organizational trend information indicating the trends of the organizational activities; and get The extracted organizational tendency information is new organizational tendency information that is different from previously extracted organizational tendency information. In this case, the new organizational tendency information is presented to the operator, and if the operator determines that the presented organizational tendency information is not new but known, the result of the determination that it is new is changed to that it is known in accordance with an instruction from the operator, and if the operator determines that the presented organizational tendency information is new, a message is displayed indicating that the presented organizational tendency information is new and is a tendency of unconscious organizational activity. The determination is made by referring to extraction history information related to the organizational tendency information, and a new It is an unconscious tendency in organizational activities. and future plan information relating to the future activity plan of the organization. Input into a message generation device using artificial intelligence, Messages related to measures to carry out the above future activity plan The aforementioned The message generator generates Get it It is an information processing program that enables the device to function as a [Effects of the Invention]

[0009] According to the information processing method of claim 1, a message relating to issues and measures for future plans of an organization such as a company is provided, taking into consideration the characteristics of the organization. According to the information processing device of claim 2, a message relating to issues and measures for future plans of an organization such as a company is provided, taking into consideration the characteristics of the organization. According to the information processing program of claim 3, a message relating to issues and measures for future plans of an organization such as a company is provided, taking into consideration the characteristics of the organization. [Brief explanation of the drawings]

[0010] [Figure 1] 1 is a diagram illustrating an example of an information processing system configuration according to an embodiment of the present invention; [Figure 2] 10 is a flowchart illustrating an information processing flow of the information processing system according to the present embodiment. [Figure 3]10 is a flowchart illustrating an internal database import process. [Figure 4] 10 is a flowchart illustrating a management framework classification process. [Figure 5] FIG. 10 is a diagram illustrating an example of a management framework classification table for classifying in-company information from the "four perspectives of BSC." [Figure 6] FIG. 10 is a diagram illustrating an example of a management framework classification table for classifying in-company information from the "McKinsey 7S Framework." [Figure 7] FIG. 10 is a diagram showing an example of a display screen for allowing an operator to confirm whether the extracted management framework candidate category is appropriate. [Figure 8] 10 is a diagram illustrating a script for the trend analysis device 3 and its output result, and a script for the message generation device 5 and its output result. FIG. [Figure 9] 10 is a diagram illustrating a script for the trend analysis device 3 and its output result, and a script for the message generation device 5 and its output result. FIG. [Figure 10] 10 is a diagram illustrating a script for the trend analysis device 3 and its output result, and a script for the message generation device 5 and its output result. FIG. [Figure 11] 10 is a diagram illustrating a script for the trend analysis device 3 and its output result, and a script for the message generation device 5 and its output result. FIG. [Figure 12] 10 is a diagram illustrating a script for the trend analysis device 3 and its output result, and a script for the message generation device 5 and its output result. FIG. [Figure 13] 10 is a flowchart illustrating a company trend evaluation process. [Figure 14] FIG. 14 is a diagram showing a history information management table 1400 for managing company trend history information. [Figure 15] FIG. 1 is a diagram illustrating a hardware configuration of a computer. DETAILED DESCRIPTION OF THE INVENTION

[0011] Hereinafter, a preferred embodiment for realizing the present invention will be described with reference to the drawings.

[0012] FIG. 1 illustrates the configuration of an information processing system according to this embodiment, specifically a management support system that processes information to provide measures and solutions for management issues and problems extracted from corporate information managed within a company. The management support system 10 includes a management device 1 that controls an internal database 2 and a trend analysis device 3 via a network installed within the company, known as an intranet 7. The intranet 7 is capable of communicating with the Internet 8, an external open network, via a gateway device 4. The management device 1 inputs, via the gateway device 4, instructions to a message generation device 5 to generate messages related to management issues and measures based on the company's trends (described below), and retrieves the messages generated (output) by the message generation device 5. The message generation device 5 can access an external database 6 installed on the Internet 8 as needed to obtain information required for message generation, but the gateway device 4 does not allow access to the internal database 2 installed on the intranet 7. Although not shown in FIG. 1, personal computers (PCs), such as laptop computers, operated by employees of the company can connect to the intranet 7 and access databases and web servers on the Internet 8 via the gateway device 4.

[0013] Corporate internal information refers to information created or collected by a company's employees and executives (hereafter referred to as "employees") through corporate activities aimed at achieving the company's business goals, and is managed by the company. The results of corporate activities are evaluated by analyzing and analysing corporate internal information. By digitizing this information, computer-based analysis and analysis can be performed more efficiently. Ideally, digitized corporate internal information should be managed in a structured data format with rows and columns, like tables or matrices, for easy computer search, aggregation, and comparison. Data organized in a prescribed format, such as CSV, with rows and columns, is sometimes called "structured data." Corporate internal information is not necessarily created and stored in structured data format; many types of information are created in formats other than structured data, such as daily work reports created using word processing software, audio recordings of internal meetings, and images of malfunctioning parts of company products taken with a digital camera. Data in formats other than structured data is sometimes called "unstructured data." Corporate information also includes information that is not computer-handlable data (digital information), such as handwritten research notes that record the research process of new technologies.

[0014] Corporate internal information often contains records of communications between employees and others, often used to communicate and share their thoughts with others. These communications records can often reflect the behavioral and thought patterns of employees. Even if an individual employee's behavioral and thought patterns are consistent across multiple employee communication records, they can be inferred to represent trends in corporate activities. Corporate activity patterns, which are characteristic of a company, are believed to influence whether or not management goals are achieved. Therefore, positive behavioral and thought patterns that contribute to goal achievement are encouraged as employee codes of conduct, while negative patterns that hinder goal achievement are identified as issues to be addressed. Corporate activity trends can be identified through objective analysis by external consultants of employee survey results, or through computer-generated textualization of communication records contained in corporate information, using natural language processing. The trend analysis device 3 in Figure 1 extracts corporate activity trends through natural language processing of corporate information converted into text data. Hereinafter, corporate activity trends will be referred to simply as "corporate trends."

[0015] The management device 1 is realized by a computer such as a personal computer (PC) or a server device. Fig. 15 is a diagram showing the hardware configuration of the computer.

[0016] The CPU (Central Processing Unit) 1500 is a control unit that executes processing in accordance with a software program that describes the processing procedure (execution sequence) for data handled by the management device 1.

[0017] ROM (Read Only Memory) 1510 stores programs used by CPU 1500 and calculation parameters used when CPU 1500 executes calculation processes. RAM (Random Access Memory) 1520 stores programs used when CPU 1500 executes calculation processes and parameters that change as appropriate during execution. These are interconnected by host bus 1550 (a so-called internal bus of a computer) that is composed of a CPU bus and the like.

[0018] The HDD (Hard Disk Drive) 1530 has a built-in hard disk, drives the hard disk, and records or reproduces programs executed by the CPU 1500, data for arithmetic processing, and the results of the processing. A database for recording large amounts of data referenced by the CPU 1500 may also be built in the HDD 1530. The HDD 1530 is also interconnected with the CPU 1500 and the like via a host bus 1550.

[0019] The communication unit 1540 controls communication with other component devices, such as the internal database 2, the trend analysis device 3, and the message generation device 5 via the gateway 4, via a network line (not shown). Communication with other component devices is performed by appropriately selecting wireless communication such as Wi-Fi (registered trademark) or wired communication such as optical communication.

[0020] The program for causing the computer to function as an information processing device may be recorded on a recording medium such as a CD (compact disc) or a DVD (digital versatile disc) and read via a reading device (not shown) into the HDD 1530 or the RAM 1520. Alternatively, the program may be stored in another device provided outside the computer and read from that device via the communication unit 1540 into the HDD 1530 or the RAM 1520.

[0021] Data input / output to / from the internal database 2 by the management device 1, commands to the trend analysis device 3 (instructions for analysis processing, acquisition of analysis results, etc.), and commands to the message generation device 5 (instructions for generation processing, acquisition of generation results, etc.) are controlled by executing programs pre-stored in storage means such as HDD 1530, ROM 1510, RAM 1520 inside the management device 1.

[0022] The internal database 2 is a large-capacity storage device composed of multiple hard disks and the like. The management device 1 executes the internal corporate information registration processing program 1a, which divides digitized internal corporate information into a structured data storage area 2a and an unstructured data storage area 2b, which are then imported and managed into the internal database 2. The management device 1 executes the management framework classification processing program 1b, which divides the structured data storage area 2a and the unstructured data storage area 2b into, for example, the four perspectives (finance, customer, performance process, and learning and growth) 2c of the Balanced Scorecard (BSC), a corporate performance evaluation method, and the seven elements (Strategy, Structure, System, Shared Value, Skill, Staff, and Style) 2d of the McKinsey 7S Framework, which is designed to optimize the entire organization, such as a company, and manages them.

[0023] The trend analysis device 3 is a device that performs natural language processing and analysis on text data contained in the internal corporate information stored in the internal database 2, and extracts information related to trends in corporate activities (corporate trends). It is realized by artificial intelligence (AI) that has previously undergone machine learning to perform text analysis processing, but it may also be configured using an ASIC or dedicated processor that implements natural language processing as hardware. Processing commands for the trend analysis device 3 are input by the management device 1 as the management device 1 executes the trend analysis processing program 1c. The processing commands (scripts) input to the trend analysis device 3 will be described later.

[0024] The message generation device 5 receives input of information related to the company's mid-term plans, such as future goals, together with corporate trend information related to corporate trends extracted by the trend analysis device 3 through analysis of internal corporate information, and generates messages related to (management) issues based on the company's corporate trends by appropriately referencing necessary information from an external database 6 that functions as a large-scale knowledge information database in accordance with a message generation command (script). The message generation device 5 is realized by a so-called generation AI, such as ChatGPT (registered trademark). Processing commands for the message generation device 5 are input by the management device 1 as the management device 1 executes the issue acquisition processing program 1e. The processing commands (scripts) input to the message generation device 5 will be described later.

[0025] 2 is a flowchart illustrating the information processing flow of the management support system 10 according to the present invention. Note that, in the information processing flow, steps S202 and S203 are processes for arranging the internal corporate information into a data format that can be handled by the trend analysis device 3. Therefore, if the internal corporate information is in a data format that can be used for the corporate trend analysis process (see step S204) described below, steps S202 and S203 may be omitted.

[0026] When the information processing according to the present invention is started (step S201), a process of importing corporate information into the internal database 2 is executed (step S202). As mentioned above, corporate information is information acquired through the business activities of employees and others, but it is not necessarily digital information that can be processed by a computer. Furthermore, even if it is digital information, it is not necessarily in a format that can be handled by a management support system such as the present invention. The internal database import process is a process for converting the corporate information into a data format that can be handled by the management support system 10 and importing it into the internal database 2.

[0027] Figure 3 is a flowchart explaining the internal database import process executed in step S202 of Figure 2. When the internal database import process starts (step S301), it is determined whether the internal information to be imported is digital information. If the internal information is digital information (step S302-YES), it is determined whether the digital information is "structured data" in which data is organized in a predetermined format (step S303).

[0028] If the digital information is structured data (YES in step S303), tag information is assigned according to the content of the structured data (step S304). The digital information is then assigned an appropriate file name and saved together with the tag information in the structured data storage area 2a of the internal database 2 (step S305). The structured data import process then ends (step S306). The "appropriate file name" may be the file name assigned to the original digital information, or may be assigned automatically by the management device 1 using the date and time information of the internal database import process. Alternatively, the operator of the management device 1 executing the internal database import process may input the file name using a mouse or keyboard (not shown) of the management device 1. "Tag information" refers to, for example, information that can be used as a keyword when searching for digital information to which tag information is assigned, and refers to a phrase that succinctly describes the content of the digital information. The tag information assignment process can be implemented, for example, by natural language processing, such as morphological analysis of text data included in the digital information to extract frequently occurring characteristic words, such as nouns and adjectives. The tag information assignment process may be an information process in which the information name assigned to the internal corporate information to which the tag information is to be assigned is used as the tag information, or a process in which the operator of the management device 1 that executes the internal database import process checks the content of the internal corporate information and inputs the tag information by operating a keyboard (not shown) or the like. Also, tag information automatically extracted by natural language processing may be displayed on the operation screen of the management device 1 (not shown) so that the operator can check it and modify it to the optimal tag information as appropriate.

[0029] When the digital information is "unstructured data" (not structured data), the processing differs depending on whether the digital information contains text data, such as document data created using document creation software, or whether the digital information does not contain text data, such as audio data or image data (step S303). If the digital information was created using document creation software (step S303-NO / document data), tag information is added (step S311), similar to the tag information added to structured data in step S304, such as natural language processing. The digital information is then saved together with the tag information in the unstructured data storage area 2b of the internal database 2 under an appropriate file name (step S312), and the import process for the unstructured data being document data is completed (step S306).

[0030] If the digital information is unstructured data (NO in step S303 / non-document data), it is determined whether the digital information is voice data or image data (step S321). If the digital information is voice data (voice data in step S321), a voice recognition process is performed to convert the voice data into text data (step S322). This voice recognition process can be achieved using general-purpose voice recognition software. Once text data based on the voice data is generated, tag information is added to the text data using natural language processing or the like (step S323). The tag information, the text data based on the voice recognition results, and the original voice data are then all saved in the unstructured data area 2b of the internal database 2 with an appropriate file name (step S324), completing the import process for the unstructured data being voice data (step S306).

[0031] If the data type of the digital information is image data (step S321-image data), image recognition processing is performed to generate text data from the image data (step S331). The image recognition processing referred to here may involve, for example, using the image data of the digital information as a key to search for image data similar to the image data using an image search service available on the Internet, and collecting text data such as keywords assigned to the similar image data. Once text data for the image data of the digital information used as a search key is collected, tag information assignment processing is performed using the collected text data (step S332). The assigned tag information, the text data based on the image recognition results, and the original image data are then all stored together in the unstructured data area 2b of the internal database 2 with an appropriate file name (step S333), completing the import processing when the unstructured data is image data (step S306).

[0032] If the internal information to be imported into the internal database 2 is not digital information (NO in step S302), a digitalization process is performed to make the internal information usable by the management support system 10. Here, a case will be described in which the internal information is fixed (recorded) on a recording medium such as paper. The recording paper on which the internal information is recorded is scanned using a scanner device, and the recorded information is digitized (step S341). The internal information that has been digitized by scanning and acquired as image data is then subjected to a character recognition process, and the character image data contained in the image data is converted into text data (step S342). To realize the character recognition process, general-purpose character recognition software or the like can be used. Once the character image data has been converted into text data, tag information is assigned to the text data using natural language processing or the like (step S343). Then, the assigned tag information, the text data resulting from character recognition, and the scanned image data are all saved together in the unstructured data area 2b of the internal database 2 with an appropriate file name (step S344), and the import process is completed when the internal corporate information is not digital information (step S306).

[0033] Returning to Figure 2, when the management support system 10 has completed the internal database import process (step S202), a process is performed to classify the digitized internal corporate information stored in the structured data area 2a and unstructured data area 2b of the internal database 2 into management frameworks (step S203).

[0034] Figure 4 is a flowchart illustrating the management framework classification process executed in step S203 of Figure 2. When the management framework classification process is started (step S401), the (digitized) internal company information to be classified is acquired from the internal database 2 (step S402). Since the internal company information to be acquired here is information that has not been classified into a predetermined management framework classification, the unclassified internal company information may be acquired automatically and sequentially, or the operator of the management device 1 may select the information that he or she wishes to process from the unclassified internal company information.

[0035] Next, the tag information assigned to the unclassified internal company information obtained from the internal database 2 is analyzed, and a management framework classification to which the same tag information as the tag information assigned to the internal company information is assigned is selected as a candidate classification (step S403). This candidate classification selection process refers to a predetermined management framework classification table stored inside the management device 1, and the management framework classification currently being processed may select from the management framework classification table a management framework classification to which the same tag information as the unclassified internal company information is assigned.

[0036] Figure 5 illustrates a management framework classification table 500 for classifying corporate information based on the "four BSC perspectives," and Figure 6 illustrates a management framework classification table 600 for classifying corporate information based on the "McKinsey 7S Framework." Each table includes a BSC perspective column 501 and a 7S element column 601 indicating the management framework classification to be assigned, as well as document type columns 502 and 602 indicating the type of corporate information belonging to each management framework. Note that the document types listed in the document type columns 502 and 602 are not limited to these and can be modified or added as appropriate. Each document type listed in the document type columns 502 and 602 is assigned a structured data column 503 and a non-structured data column 504 and 604 indicating whether the document is created as structured data or unstructured data. Furthermore, each document type includes a tag information column 505 and 605 listing tag information to be referenced when classifying the document type. When identifying the management framework classification, both of the management framework classification tables 500 and 600 may be referenced, or either one may be used, or a classification table set for a management framework other than the "BSC Four Perspectives" or the "McKinsey 7S Framework" may be used.

[0037] Some internal corporate information, including information about corporate activities, is organized under the information name (file name) shown in the document type column 502, 602. For such internal corporate information, the management framework classification to which it should be assigned can be identified directly from the information name (file name) without having to assign or reference tag information to identify the management framework classification. However, internal corporate information also includes supplementary materials and information used to create materials and information to which the information name shown in the document type column 502, 602 is assigned. While such supplementary materials and information likely reflect records of communication and behavior when employees and others engage in corporate activities in accordance with the management framework, the information names assigned to such supplementary materials and information do not necessarily reflect the corresponding management framework classification. The tag information assignment process is performed when importing internal corporate information into the internal database 2, and the tag information is referenced during the management framework classification process, based on the existence of internal corporate information for which it is difficult to assign a management framework classification based on the information name (file name). In addition, if the relevant management framework classification is identified when compiling internal corporate information and the identified classification is reflected in the internal corporate information, for example, information regarding the management framework classification is added to the property information of the file in which the internal corporate information is saved, the tag information assignment process described above may be omitted.

[0038] When a management framework candidate category is detected through analysis of tag information, it is desirable to present the detected candidate category, as well as the content of the internal information currently being processed and the tag information assigned to the internal information, to an operator performing the management framework classification process using the management device 1 on a display device (not shown) of the management device 1. FIG. 7 shows an example of a display screen 700 for allowing the operator to confirm whether the extracted management framework candidate category is appropriate. The display screen 700 includes a preview window 701 displaying the content of the internal information to which a management framework category is being assigned, a number display field 702 displaying the serial number assigned to the internal information to be subjected to the management framework classification process, a file name display field 703 displaying the file name assigned to save the digital information related to each internal information, and a set tag display field 704 displaying the tag information assigned to each internal information. A candidate category display field 705 displays, as candidate categories, management framework categories with the same tag information set, identified by referencing the tag information fields 505 and 605 of the management framework classification tables 500 and 600 using the tag information displayed in the set tag display field 704 as a key. If an appropriate management framework category is not displayed in the candidate category display field 705, a category input field 706 is also provided in which the operator can input a management framework category that he or she determines corresponds to the internal corporate information displayed in the preview window 701. At the bottom of the display screen 700, there are provided a "Go back" button 707 for moving the reference number down, a "Next" button 708 for moving the reference number up, and a "Confirm" button 709 for confirming the management framework of the internal corporate information whose contents are displayed in the preview window 701.

[0039] Returning to Figure 4, the explanation of the management framework classification process will continue. After the management framework candidate classification selection process in step S403 is completed, a determination process (by the operator of the management device 1) is performed to determine whether the selected candidate classification is appropriate (step S404). If any of the selected candidate classifications is appropriate (step S404-YES), the most appropriate management framework classification is selected and assigned as the management framework classification for the internal corporate information being processed (step S405), and the management framework classification process is terminated (step S407). If no appropriate candidate classification is selected (step S404-NO), the operator designates an appropriate management framework classification with reference to the digital information related to the internal corporate information being processed (step S406), and the management framework classification process is terminated (step S407).

[0040] Steps S403 through S406 in Figure 4 are further explained using Figure 7. In Figure 7, digitized corporate information with a file name "FY2020 Technology Development Plan Proposal" is displayed in preview window 701. Tag information, such as "proposal," "plan," "system," and "strategy," assigned to the file is displayed in set tag display field 704. When business framework classifications with the same tag information are extracted from business framework classification tables 500 and 600, the following document types are selected: "Project Plan," which is classified under the "Internal Process Perspective" category of the "BSC Four Perspectives"; "Strategic Meeting Minutes," which is classified under the "Strategy" category of the McKinsey 7S Framework; and "System Manual," which is classified under the "System" category. The candidate classifications selected in this way are displayed in candidate classification display field 705 with radio buttons on the left (corresponding to step S403). The operator selects one optimal candidate category by operating the radio buttons of the candidate categories displayed in the candidate category display field 705 using the keyboard or mouse of the management device 1 (not shown) (corresponding to steps S404 and S405). If the operator determines that the content of the "FY2020 Technology Development Plan Proposal" displayed in the preview window 701 does not correspond to any of the candidate categories, the operator inputs an appropriate management framework category into the category input field 706 (corresponding to steps S404 and S406). After selecting the optimal candidate category or inputting the category by the operator, the operator operates the mouse or the like of the management device 1 to press the "OK" button 709, thereby completing the management framework category processing for the in-house information with the file name "FY2020 Technology Development Plan Proposal" (corresponding to step S407).

[0041] In this invention, to extract and estimate information indicating trends in corporate activities (corporate trend information), we focus on communication records left in the internal corporate information created or collected by employees, which capture the behavioral and thought patterns of employees in their corporate activities. Corporate trends that employees are aware of or self-aware of can be taken into account when considering measures to carry out an organization's future plans, and these corporate trends, which can be considered to be the characteristics of the company, serve as a basis for determining their strengths and weaknesses. On the other hand, there are also so-called unconscious corporate trends that employees are not aware of or self-aware of. Even unconscious corporate trends can influence employees' behavior and thoughts in some way. It is often difficult to understand the causes of the results of corporate activities based on unconscious corporate trends. If unconscious corporate trends could be identified in advance, it should be possible to analyze in advance whether there are any problems with the measures planned to carry out the company's (organization's) future plans. This is why this invention focuses on unconscious corporate trends. Whether conscious or unconscious, corporate trends are reflected in records of employee communication. However, if corporate trend information is extracted by analyzing the entire corporate information, there is a high probability that the actions and tendencies consciously taken by employees, such as the employee code of conduct, will be dominant. Therefore, in this invention, by narrowing the scope of the corporate information used to extract corporate trend information, it becomes easier to extract corporate trend information that indicates unconscious corporate trends. It is with this in mind that corporate information is classified into management framework categories. Corporate trends based on the actions and tendencies consciously taken by employees are sometimes referred to as "known" corporate trends.

[0042] Returning to Figure 2, we will continue to explain the information processing flow in the management support system 10. After the management framework classification process is completed, the management device 1 inputs a processing command (script) specifying the management framework classification to be analyzed to extract corporate trend information into the trend analysis device 3, and corporate trend analysis processing is performed (step S204).

[0043] 8 to 12 are diagrams for explaining the trend analysis script and its output results for the trend analysis device 3 (each diagram (a)), and the message generation script and its output results for the message generation device 5 (each diagram (b)). Here, we will first explain the input / output information related to the trend analysis device 3.

[0044] Figure 8(a) shows a trend analysis script 800 for extracting corporate trend information that indicates unconscious corporate trends related to communication, such as information sharing within a company, and an output result of corporate trend information 805. The trend analysis script 800 further comprises an analysis viewpoint instruction section 801, a (management framework) classification specification section 802, a supplementary instruction section 803, and an output format specification section 804. The analysis viewpoint specification section 801 specifies the specific knowledge (accessible through prior learning) that the trend analysis device 3 using the generative AI is requested to reference. The classification specification section 802 specifies the classification (in Figure 8, the "internal communication data" classification) to be used for corporate trend analysis from the internal information stored in the internal database 2 after being classified using the management framework classification process described with reference to Figure 4. It also specifies the type of corporate trend information to be extracted from the internal information belonging to the specified classification. In the case of Figure 8(a), by specifying the specific corporate trends to be identified, such as "organizational decision-making process" and "information sharing efficiency," the generative AI constituting the trend analysis device 3 will generate appropriate messages. The supplementary instruction section 803 specifies the content of the analysis process (keywords to be referenced when analyzing "trends") and judgment criteria (threshold information for determining specific trends). The output format specification section 804 specifies the format in which the trend analysis device 3 is to output the generated message. The output result 805 contains the results of the corporate trend analysis and extraction process specified by the trend analysis script 800, output as specified by the output format specification section 804. The corporate trend information extracted here is subjected to a corporate trend evaluation process, which will be described later, to evaluate whether it is corporate trend information that indicates an unknown corporate trend (new / unknown to the company in question).

[0045] Figure 9(a) shows a trend analysis script 900 for extracting corporate trend information that indicates unconscious corporate trends related to project management within a company, and an output result 905 of the corporate trend information. The analysis viewpoint instruction section 901 of the trend analysis script 900 specifies the specific knowledge referenced by the trend analysis device 3, and the category specification section 902 specifies that the "past two years" category within the "project data" category from the stored, categorized corporate information is the category to be analyzed. In the case of Figure 9(a), by specifying the specific corporate trends to be identified, such as "deadline overdue," "scope creep," and "resource allocation," the trend analysis device 3 will output appropriate messages. The supplementary instruction section 903 of the trend analysis script 900 provides a supplementary instruction to consider differences in trends between departments during the analysis process, and the output format specification section 904 specifies the message output format of the trend analysis device 3. The output result 905 is the result of the corporate trend analysis and extraction process instructed by the script 900, output as instructed by the output format specification section 904. The extracted business trend information is subjected to a business trend evaluation process.

[0046] FIG. 10(a) shows a trend analysis script 1000 for extracting corporate trend information indicating unconscious (latent) corporate trends related to employee dissatisfaction and concerns, and output results 1005 of corporate trend information. The analysis viewpoint instruction section 1001 of the trend analysis script 1000 specifies the specific knowledge reference process to be requested from the trend analysis device 3. The category designation section 1002 designates the "employee satisfaction survey" category and the "1-on-1 meeting notes" category as the categories to be analyzed from the segmented and stored corporate information. In the case of FIG. 10(a), by designating specific corporate trends to be identified, such as "unrevealed employee dissatisfaction" and "patterns of concerns," the trend analysis device 3 will extract appropriate messages. The supplementary instruction section 1003 explicitly instructs the trend analysis device 3 to use "sentiment analysis" and "topic modeling" to analyze the time-series changes in the corporate trends to be extracted. The output format designation section 1004 designates the message output format of the trend analysis device 3. The output result 1005 is the result of the corporate trend analysis and extraction process instructed by the trend analysis script 1000, output as instructed by the output format designation section 1004. The extracted corporate trend information is subjected to corporate trend evaluation processing.

[0047] Figure 11(a) shows a trend analysis script 1100 for extracting corporate trend information that indicates unconscious corporate trends related to innovation management within a company, and the output result of corporate trend information 1105. The analysis viewpoint instruction section 1101 of the trend analysis script 1100 specifies the specific knowledge reference process to be requested from the trend analysis device 3. The category designation section 1102 designates the "patent application" category, the "research and development report" category, and the "idea proposal system" category as the categories to be analyzed from the segmented and stored internal corporate information. In the case of Figure 11(a), by designating the specific corporate trend to be identified, such as "trends in the organization's innovation activities," the trend analysis device 3 will extract an appropriate message. The supplementary instruction section 1103 supplements the instruction to consider "correlations with market trends and competitor activities" as well as time lags during the analysis process. The output format designation section 1104 designates the message output format of the trend analysis device 3. The output result 1105 is the result of the corporate trend analysis and extraction process instructed by the trend analysis script 1100, output as instructed by the output format designation section 1104. The extracted corporate trend information is subjected to corporate trend evaluation processing.

[0048] FIG. 12(a) shows a trend analysis script 1200 for extracting corporate trend information that indicates unconscious corporate trends related to knowledge management within a company, and an output result of the corporate trend information 1205. The analysis viewpoint instruction section 1201 of the trend analysis script 1200 specifies the specific knowledge reference process to be requested from the trend analysis device 3. The category designation section 1202 designates the "business manual," "knowledge base," and "internal SNS posts" categories as the categories to be analyzed from the segmented and stored corporate information. In the case of FIG. 12(a), by instructing the visualization of specific corporate trends that are of interest, such as "tacit knowledge accumulated within the organization," the trend analysis device 3 will generate appropriate messages. The supplementary instruction section 1203 provides supplementary instructions to identify "experts" within the company and to generate messages focusing on "knowledge gaps" and "knowledge uneven distribution." The output format designation section 1204 specifies the message output format of the trend analysis device 3. The output result 1205 is the result of the corporate trend analysis and extraction process instructed by the trend analysis script 1200, output as instructed by the output format designation section 1204. The extracted corporate trend information is subjected to corporate trend evaluation processing.

[0049] The corporate trend analysis process of step S204 shown in FIG. 2 is executed using the trend analysis device 3, and the extracted corporate trend information (illustrated in FIGS. 8 to 12) is subjected to the corporate trend evaluation process of step S205. Therefore, the trend analysis processing program 1c executed by the management device 1 preferably includes a script input process to the trend analysis device 3 as well as a corporate trend information storage process for saving the extracted corporate trend information in a storage device or the like within the management device 1. The script input process of the trend analysis processing program 1c may be implemented by displaying a script template common to the trend analysis scripts 800 to 1200 on the display screen of the management device 1 that executes the program, and supporting the operator of the management device 1 who wants to analyze corporate trends in making appropriate modifications according to the purpose of the analysis (a function for supporting the input of necessary information into the analysis viewpoint specification section, category specification section, supplementary specification section, and output format specification section that constitute the script). The trend analysis scripts 800 to 1200 may not be provided as templates when the trend analysis processing program 1c is executed, but may be created by the operator of the management device 1 each time the corporate trend analysis process is performed, or may be created using a generation AI.

[0050] Returning to Figure 2, we will continue to explain the information processing flow in the management support system 10. The corporate trend evaluation process in step S205 is a process for evaluating whether the corporate trend information extracted by the trend analysis device 3 is new corporate trend information that has not been extracted before, in other words, whether it indicates an unknown "unconscious corporate trend" based on the actions and thoughts of employees, who are the main actors in corporate activities. The corporate trend evaluation process is performed by executing the corporate trend evaluation processing program 1d in the management device 1.

[0051] 13 is a flowchart illustrating the corporate trend evaluation process. When the corporate trend evaluation process is started (step S1301), the trend analysis device 3 refers to history information (corporate trend history information) related to corporate trend analysis processes that have been performed up to now, and checks whether a corporate trend analysis process that extracted the same corporate trend information as the (latest) corporate trend information analyzed and extracted in step S205 of FIG. 2 has been recorded (step S1302).

[0052] FIG. 14 illustrates a history information management table 1400 for managing corporate trend history information. Corporate trend history information includes the date and time of the corporate trend analysis process, which is assigned a management number; a requester ID (e.g., employee number) identifying the employee who requested the analysis process; a management framework classification designated for analyzing corporate trends; corporate trend information extracted by the trend analysis device 3; and an evaluation result evaluating whether the corporate trend information is known. Each piece of information constituting the corporate trend history information is managed separately in the history information management table 1400: a management number column 1401, a processing date and time column 1402, a requester ID column 1403, a designated classification column 1404, an extracted corporate trend column 1405, and an evaluation result column 1206. Typically, a company is further composed of multiple departments. Given that corporate trends are based on the behavioral and thought patterns of employees and others, corporate trends are likely influenced by the behavioral and thought patterns of members of departments (hereinafter referred to as departmental trends), which are subordinate organizations of the company. Therefore, corporate trends are likely to be departmental trends. In this case, a corporate trend that is known to one department may be unknown or new (unconscious) to another department. In the corporate trend evaluation process performed in step S205 of Fig. 2, it is desirable to evaluate the corporate trend information extracted by the trend analysis device 3 taking into consideration the variation in the degree of awareness of the corporate trend among the departments that make up the company.

[0053] In step S1302 of FIG. 13, a process of comparing and checking is performed to determine whether the same corporate trend information as the latest corporate trend information extracted by the trend analysis device 3 is recorded in the extracted corporate trend column 1405 of the history information management table 1400. In FIG. 14, the corporate trend information is recorded and saved in the extracted corporate trend column 1405 in the form of a series of text information, but the corporate trend information may also be expressed and saved using keywords such as characteristic words. If the result of the comparison (confirmation) is that it is confirmed that the same corporate trend information as the latest corporate trend information is not recorded in the corporate trend history information (step S1303-NO), it is determined that unknown (unconscious) corporate trend information has been extracted, and the content of the corporate trend, the management framework classification (internal corporate information) used in the analysis, and a requester ID identifying the requester's name, department, etc. are added to the corporate trend history information to update the history information management table 1400 (step S1304), and the corporate trend evaluation process is terminated (step S1308). As mentioned above, even if the corporate trend information is newly extracted by the trend analysis device 3, it may be already known to the requester or the department to which the requester belongs. Therefore, the requester may be allowed to confirm the processing result determined as "new" by the management device 1 that executed the corporate trend evaluation processing program 1d, and the determination result of the management device 1 may be changed to "known" if necessary.

[0054] If the same corporate trend information as the latest corporate trend information is extracted from the corporate trend history information (step S1303-YES), the process moves on to a judgment process that takes into account variations in the degree of corporate trend awareness among the company's constituent departments. At the beginning of this judgment process, the designated category column 1404 of the history information management table 1400 is referenced to confirm whether the corporate trend information was extracted by analyzing internal corporate information of the same management framework category as the management framework category designated when extracting the latest corporate trend information (step S1305). If the corporate trend information resulting from the analysis of internal corporate information belonging to the same management framework category as the latest corporate trend information is not recorded in the history information management table 1400 (step S1305-NO), it is determined that unknown (unconscious) corporate trend information has been extracted, and the process moves on to step S1304, where the corporate trend history information is updated.

[0055] If the same business framework classification is specified and the same business trend information is extracted (step S1305-YES), the requester ID column 1403 of the history information management table 1400 is further referenced to confirm whether the business trend information was extracted by the same requester (belonging to a department in a lower organization) who extracted the latest business trend information, and who specified the same business framework classification as the business framework classification specified when extracting the latest business trend information (step S1306). This determination process is a process of confirming whether requesters belonging to the same department requested the extraction of business trend information under the same conditions.

[0056] 14 uses internal corporate information (see designated category column 1404) classified in the same management framework category "7-S element: strategy," and the same corporate trend information, "frequently used in strategy planning," has been extracted (see extracted corporate trend column 1405). Here, the corporate trend information in corporate trend history information 1407 is new corporate trend information that was not recorded in history information prior to the time the corporate trend information was extracted, but it is considered to be information indicating a known corporate trend to the requester (the department to which the requester belongs) corresponding to "RQ0001" recorded in requester ID column 1403, and the record in evaluation result column 1406 has been determined to be "known." In corporate trend history information 1408, which was recorded after corporate trend history information 1407, the requester corresponding to "RQ0003" recorded in requester ID column 1403 is different from "RQ0001" in corporate trend history information 1407, and therefore if the corporate trend information extracted by the corporate trend analysis process corresponds to information indicating a new corporate trend for the department to which the requester corresponding to "RQ0003" belongs, the result of the corporate trend evaluation process is determined and recorded as "new" rather than "known." In other words, the corporate trend information is evaluated taking into account the variations in the level of awareness of corporate trends among the departments that correspond to the subordinate organizations that make up the organization known as a company, and the corporate trend history information is updated.

[0057] If the history information management table 1400 records that the request is from a requester who belongs to a department different from the requester of the latest corporate trend analysis processing (step S1306-NO), it is determined that information indicating a corporate trend that is not known (unconscious) to the department to which the requester who requested the latest corporate trend analysis processing belongs has been extracted, even if the information indicates a corporate trend (department trend) that is known to other departments, and the process proceeds to step S1304, where the corporate trend history information is updated. If the history information management table 1400 records that the request is from a requester who belongs to the same department as the requester of the latest corporate trend analysis processing (step S1306-YES), the requester is notified that new, unknown corporate trend information cannot be extracted, and information regarding the latest corporate trend analysis processing is added to the corporate trend history information as necessary, the history information management table 1400 is updated, and the corporate trend evaluation processing is terminated (step S1308).

[0058] In the corporate trend evaluation process described with reference to FIG. 13 , the trend analysis device 3 determines whether extracted corporate trend information is new or known, taking into account differences in the management framework classification identifying the internal corporate information from which the corporate trend information was extracted and the requester ID identifying the requester of the corporate trend analysis process. The reason for considering whether the management framework classification is the same is that the impact of the corporate trend indicated by the newly extracted corporate trend information is not always positive or negative on the corporate activities corresponding to the management framework classification used for extraction, but rather can vary depending on the content of the corporate activities. However, even if a corporate trend indicated by corporate trend information extracted as new was an unconscious corporate trend at the time, once it is made explicit, it becomes a known corporate trend even if it is subsequently extracted with a different management framework classification. Therefore, it is not necessary to determine whether a corporate trend is known by taking into account the management framework classification. Similarly, it is not necessary to determine whether a corporate trend is known by taking into account the requester ID.

[0059] Returning to Figure 2, we will continue to explain the information processing flow in the management support system 10. As a result of the corporate trend evaluation process (step S205), corporate trend information determined to be new is highly likely to be information that indicates unconscious corporate trends (that the parties are unaware of / not aware of) for the company. Even unconscious corporate trends can have some impact on the results of corporate activities, so the corporate trend information that indicates unconscious corporate trends is made clear to an artificial intelligence such as a generation AI that has undergone machine learning using large-scale learning data, and the generated message will take into account the characteristics of the company, namely unconscious corporate trends.

[0060] The task acquisition processing step of step S206 is a process of acquiring management support messages, such as policy proposals for activities (future activities) for carrying out future plans for the company and issues to be noted for future activities, from a message generation device 5 configured using a generation AI, using company trend information corresponding to unconscious company trends. Here, "future plans" refers to implementation plans that an organization such as a company will carry out in the future, such as business plans for the next fiscal year and beyond, business strategies, technology strategies, and organizational management issues such as management issues formulated based on reviews of business activity results. The task acquisition processing is performed by executing the task acquisition processing program 1e in the management device 1. The task acquisition processing program 1e includes a process of inputting scripts to the message generation device 5 and a process of saving the management support messages generated by the message generation device 5.

[0061] Each of (b) of Figs. 8 to 13 shows a message generation script for the message generation device 5 for acquiring a management support message and an example of the output result.

[0062] FIG. 8(b) shows a message generation script 810 and output result 815 for acquiring policy information, which is a message regarding the execution of a company's future plans, based on corporate trend information corresponding to a corporate trend indicating "frequent delays and reconsiderations of decision-making" extracted from the internal corporate information belonging to the "internal communication data" category. The message generation script 810 further includes an analysis viewpoint specification section 811, a reference information specification section 812, a corporate trend specification section 813, and an output format specification section 814. The analysis viewpoint specification section 811 specifies the specific knowledge (accessible through prior learning) that the message generation device 5 using the generation AI is requested to reference. The reference information specification section 812 specifies future plan information indicating the future plan for which policy information is to be acquired based on corporate trend information corresponding to unconscious corporate trends. The reference information specification section 812 may specify the future plan information itself, or may specify a future plan information storage location, such as a uniform resource locator (URL) or file directory, that the message generation device 5 can access to reference the future plan information. The corporate trend designation unit 813 designates, as the "analysis result," corporate trend information that has been determined to be new (unconscious) corporate trend information after the corporate trend evaluation, from among the corporate trend information extracted by the trend analysis device 3. The output format designation unit 814 designates the format in which the message generation device 5 outputs the generated message, in this case, specifying that the generated message should be output in separate parts: "proposed improvement measures" and "specific action plans for implementing measures." The output result 815 includes policy information (messages generated by the message generation device 5, sometimes referred to as "support information") related to the execution of the target company's future plans based on the (unconscious) corporate trends instructed by the message generation script 810, output as instructed by the output format designation unit 814. The output result 805 of the trend analysis device 3 shown in FIG. 8(a) extracts corporate trend information indicating a corporate trend of frequent delays in decision-making and frequent reconsideration, thereby revealing some of the inefficiencies in the decision-making process of the company (organization).As shown in the output result 815 of FIG. 8(b), the message generating device 5 has proposed specific measures that can contribute to the execution of the mid-term management plan based on this unconscious corporate tendency.

[0063] FIG. 9(b) shows a message generation script 910 and an output result 915 of the policy information for acquiring policy information (support information) related to the execution of a company's future plan, based on the corporate trend information corresponding to the corporate trend of "high deadline overrun rate, particularly in the development department" extracted from the internal corporate information belonging to the "project data for the past two years" category. The analysis viewpoint specification section 911 of the message generation script 910 specifies the specific knowledge reference process that the message generation device 5 is requested to perform, and the reference information specification section 912 specifies the future plan information related to the future plan from which the policy is acquired based on the corporate trend. The corporate trend specification section 913 of the message generation script 910 specifies the unconscious corporate trend information extracted by the trend analysis device 3, and the output format specification section 914 specifies the message output format of the message generation device 5. The output result 915 shows the policy information related to the execution of the future plan of the target company based on the corporate trend specified by the message generation script 910, output as specified by the output format specification section 914. The output result 905 of the trend analysis device 3 shown in Figure 9(a) reveals areas for improvement in the company's project management by extracting corporate trend information that indicates a corporate trend of frequent overdue deadlines and scope expansions, and the relevant departments where this corporate trend is particularly pronounced. Then, as shown in the output result 915 of Figure 9(b), the message generation device 5 proposes specific measures that can contribute to the execution of the mid-term management plan based on this unconscious corporate trend.

[0064] FIG. 10(b) shows a message generation script 1010 and output result 1015 for acquiring policy information (support information) related to the execution of a company's future plans, based on corporate trend information corresponding to a corporate trend of "lack of career growth opportunities and significant dissatisfaction with work-life balance" extracted from the internal corporate information belonging to the "Employee Satisfaction Survey" and "1-on-1 Meeting Notes" categories. The message generation script 1010 includes an analysis viewpoint specification section 1011 that specifies the specific knowledge referenced by the message generation device 5, and a reference information specification section 1012 that specifies future plan information related to the future plan that is the target of acquiring policies based on the corporate trends. The message generation script 1010 includes a corporate trend specification section 1013 that specifies the unconscious corporate trend information extracted by the trend analysis device 3, and an output format specification section 1014 that specifies the message output format of the message generation device 5. The output result 1015 is output as instructed by the output format specification unit 1014, and is information on measures related to the execution of future plans for the target company based on the corporate trends instructed by the message generation script 1010. The output result 1005 of the trend analysis device 3 shown in Figure 10(a) predicts the company's future human resource risks by extracting corporate trend information that indicates patterns of undisclosed employee dissatisfaction and concerns. As shown in the output result 1015 of Figure 10(b), the message generation device 5 proposes specific measures that can contribute to the execution of the medium-term management plan based on these unconscious corporate trends.

[0065] Figure 11(b) shows a message generation script 1110 and output result 1115 of policy information for acquiring policy information (support information) related to the execution of a company's future plans, based on corporate trend information corresponding to the corporate trend of "the number of patent applications is increasing, but the rate of practical application is low" extracted from the internal corporate information belonging to the "Patent Application" category, the "Research and Development Report" category, and the "Idea Proposal System" category. The analysis viewpoint instruction section 1111 of the message generation script 1110 specifies the specific knowledge reference process that the message generation device 5 is requested to perform, and the reference information specification section 1112 specifies future plan information related to the future plan that is the target of the policy based on the corporate trend. The corporate trend specification section 1113 of the message generation script 1110 specifies the unconscious corporate trend information extracted by the trend analysis device 3, and the output format specification section 1114 specifies the message output format of the message generation device 5. The output result 1115 is output as instructed by the output format specification unit 1114, and is policy information related to the execution of the target company's future plan based on the corporate trends instructed by the message generation script 1110. The output result 1105 of the trend analysis device 3 shown in Figure 11(a) extracts corporate trend information indicating corporate trends related to the correlation between market trends, the actions of competitors, and the innovation activities of the target company, thereby revealing that there is a discrepancy in the direction of innovation of the company. As shown in the output result 1115 of Figure 11(b), the message generation device 5 proposes specific policies that can contribute to the execution of the medium-term management plan based on these unconscious corporate trends.

[0066] FIG. 12(b) shows a message generation script 1210 and output result 1215 for acquiring policy information (support information) related to the execution of a company's future plans, based on the corporate trend information corresponding to the corporate trend of "customer service know-how and legacy system operation knowledge concentrated" extracted from the internal corporate information belonging to the "Business Manual" category, the "Knowledge Base" category, and the "Internal Social Media Posts" category. The analysis viewpoint instruction section 1211 of the message generation script 1210 specifies the specific knowledge referenced by the message generation device 5, and the reference information specification section 1212 specifies the future plan information related to the future plan that is the target of the policy based on the corporate trend. The corporate trend specification section 1213 of the message generation script 1210 specifies the unconscious corporate trend information extracted by the trend analysis device 3, and the output format specification section 1214 specifies the message output format of the message generation device 5. The output result 1215 outputs policy information related to the execution of future plans of the target company based on the corporate trends instructed by the message generation script 1210, as instructed by the output format specification unit 1214. In the output result 1205 of the trend analysis device 3 shown in Figure 12(a), corporate trend information indicating corporate trends related to tacit knowledge accumulated within the organization was extracted, thereby identifying areas in the company where knowledge is unevenly distributed and where knowledge needs to be passed on. Then, as shown in the output result 1215 of Figure 12(b), specific policies that can contribute to the execution of the medium-term management plan based on these unconscious corporate trends have been proposed by the message generation device 5.

[0067] The script input process of the issue acquisition processing program 1e may be a process that displays a script template common to the message generation scripts 810 to 1210 on the display screen of the management device 1 that executes the program, and supports the operator of the management device 1 who wants to acquire a management support message in making appropriate modifications according to their purpose (a function that supports input of necessary information into the analysis viewpoint instruction section / reference information specification section / corporate trend specification section / output format specification section that make up the script). Note that the trend analysis scripts 800 to 1200 do not provide templates by executing the trend analysis processing program 1c, and the operator of the management device 1 may create them themselves each time they perform corporate trend analysis processing, or they may be created using a generation AI.

[0068] As described above, the management support system 10 according to the present invention extracts trends in corporate activities (corporate trends) using internal corporate information, including records of communications and behaviors left by employees and others during the course of corporate activities. If the extracted corporate trends are "unconscious" corporate trends that are not known, support (advice) for the target company's future activity plans based on those corporate trends can be obtained using artificial intelligence, such as generative AI, that can refer to large-scale (learning) data. As mentioned above, even unconscious behavioral and thought trends that employees and others are not aware of can have some positive or negative impact on the corporate activities they conduct. Conventional management support systems do not take unconscious corporate trends into account when extracting measures for implementing future activity plans. Therefore, if corporate trends work in a positive direction, more effective measures cannot be extracted, or if corporate trends work in a negative direction against the extracted measures, the measures may not be effective. In other words, unconscious corporate trends act as an obstacle to obtaining more effective support (advice). Even if the characteristics of a company's tendencies are expressed unconsciously, the generative AI can take these characteristics into account and obtain more effective support measures for future activity plans from the vast amount of knowledge (such as learned data) that it can access, which is an excellent effect.

[0069] Various modifications are permitted for the embodiments of the present invention without departing from the spirit of the present invention. For example, the processes performed in steps S204 to S206 in Fig. 2 do not necessarily have to be executed by the management device 1. For example, the trend analysis processing program 1c, trend evaluation processing program 1d, and task acquisition processing program 1e may be installed and executed on a PC that can be connected to the intranet 7 and is owned and managed by an employee, etc. However, it is desirable that corporate trend history information such as the history information management table 1400 in Fig. 14 be managed centrally by the management device 1 rather than being managed individually by an employee, etc.

[0070] Furthermore, in the above embodiment, it has been explained that the trend analysis device 3 and the message generation device 5 are each composed of different generation AIs, but it is also possible to realize the trend analysis function and the message generation function using a single generation AI.

[0071] Furthermore, in the above embodiment, processing to save the output of the trend analysis device 3 and the message generation device 5 is explicitly added to the trend analysis processing program 1c and the task acquisition processing program 1e, but considering that the trend analysis device 3 and the message generation device 5 are capable of communicating with the management device 1 and the like via a wireless or wired communication network, the output of the trend analysis device 3 and the message generation device 5 should be temporarily saved in a storage device within the management device 1 that has input a script to them. Therefore, it is not necessary to explicitly execute output saving processing for the trend analysis device 3, etc.

[0072] As an information processing system for implementing the information processing method according to the present invention, we have explained a management support system 10 that supports a company in identifying management issues (for future plans) and formulating measures, but the present invention can also be applied to non-profit organizations such as incorporated foundations (in other words, a higher concept than a company). [Explanation of symbols]

[0073] 1...Management device 2. Internal database 3…Trend analysis device 5...Message generating device 500...Management Framework Classification Table 600...Management Framework Classification Table 800…Trend analysis script 805...Message generation script 900...Trend analysis script 905...Message generation script 1000...Trend analysis script 1005...Message generation script 1100...Trend analysis script 1105...Message generation script 1200...Trend analysis script 1205...Message generation script 1400...History information management table

Claims

1. An information processing method performed by an information processing device, a trend analysis step of inputting text information included in the internal information belonging to a category designated by an operator from among internal information created in relation to organizational activities carried out to achieve organizational goals and classified into a plurality of categories using predetermined criteria into a trend analysis device and analyzing the text information through text analysis processing, thereby extracting and acquiring organizational trend information indicating the trends of the organizational activities; a trend determination step of presenting the new organizational trend information to the operator when the organizational trend information extracted by the trend analysis step is new organizational trend information different from previously extracted organizational trend information, changing the result of the determination that the organizational trend information is new to that that the information is known in response to an instruction from the operator when the operator determines that the presented organizational trend information is not new but known, and determining that the presented organizational trend information is new and is a trend of unconscious organizational activity by referring to history information from the trend analysis step when the operator determines that the presented organizational trend information is new; a message generation step of inputting organizational trend information determined by the trend determination step to be a trend of unconscious organizational activity that is new to the organization and future plan information related to the organization's future activity plan into a message generation device using artificial intelligence, and having the message generation device generate a message related to measures to carry out the future activity plan; An information processing method comprising:

2. Among internal information created in relation to organizational activities carried out to achieve organizational goals and classified into a plurality of categories using predetermined criteria, text information included in the internal information belonging to a category designated by an operator is input into a trend analysis device and analyzed through text analysis processing, thereby extracting and obtaining organizational trend information indicating the trends of the organizational activities; If the extracted organizational tendency information is new organizational tendency information that is different from previously extracted organizational tendency information, the new organizational tendency information is presented to the operator, and if the operator determines that the presented organizational tendency information is not new but known, the result of the determination that it is new is changed to that it is known in accordance with an instruction from the operator, and if the operator determines that the presented organizational tendency information is new, the presented organizational tendency information is new and is a tendency of unconscious organizational activity, with reference to extraction history information related to the organizational tendency information, Organizational trend information determined to be a trend of unconscious organizational activity that is new to the organization based on the extracted history information and future plan information related to the organization's future activity plan are input into a message generation device using artificial intelligence, and a message related to measures for carrying out the future activity plan is generated by the message generation device and acquired.

1. An information processing device comprising:

3. Computer, Among internal information created in relation to organizational activities carried out to achieve organizational goals and classified into a plurality of categories using predetermined criteria, text information included in the internal information belonging to a category designated by an operator is input into a trend analysis device and analyzed through text analysis processing, thereby extracting and obtaining organizational trend information indicating the trends of the organizational activities; If the extracted organizational tendency information is new organizational tendency information that is different from previously extracted organizational tendency information, the new organizational tendency information is presented to the operator, and if the operator determines that the presented organizational tendency information is not new but known, the result of the determination that it is new is changed to that it is known in accordance with an instruction from the operator, and if the operator determines that the presented organizational tendency information is new, the presented organizational tendency information is new and is a tendency of unconscious organizational activity, with reference to extraction history information related to the organizational tendency information, Organizational trend information determined to be a trend of unconscious organizational activity that is new to the organization based on the extracted history information and future plan information related to the organization's future activity plan are input into a message generation device using artificial intelligence, and a message related to measures for carrying out the future activity plan is generated by the message generation device and acquired. An information processing program that makes the device function.

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