Support device for decision-making by transferor managers regarding third-party succession

Abstract

Providing technological means to eliminate the psychological bias of transferring managers regarding business succession and support their decision-making regarding business succession. [Solution] The device 1 for supporting the decision-making of transferor managers in third-party succession of the present invention comprises an information acquisition unit 111 that acquires company information, a psychological barrier analysis unit 112 that automatically analyzes a risk score (R) based on the company information, a reward analysis unit 113 that automatically analyzes a reward score (G) based on the company information, a decision-making evaluation unit 114 that calculates a transfer decision-making score (W) based on the risk score (R) and the reward score (G) using the formula "W = (1 - R) × (1 + G)", and a protocol output unit 115 that extracts and outputs one or more proposed succession scenarios based on the transfer decision-making score (W) for multiple succession scenarios consisting of a combination of mitigation measures and reinforcement measures.

Description

[Technical Field]

[0001] The present invention relates to a device for supporting decision-making by a transferor manager in relation to third-party succession. [Background technology]

[0002] Small and medium-sized enterprises (SMEs) fulfill various social roles, such as maintaining employee employment, maintaining corporate culture and brand, maintaining customer and business relationships, contributing to the local community, and maintaining social trust. Therefore, the continuation and survival of SMEs is a social issue. Furthermore, appropriate business succession not only brings economic rewards to the transferring manager, but also contributes to the stability of the manager's life after retirement.

[0003] By transferring the business to another person, the transferring manager can continue the business even after retirement. There are several ways to proceed with business succession, for example, when the business is handed over to an in-house employee, a relative or other successor, or when the business is transferred to another third party.

[0004] However, due to factors such as the impact of the employment ice age on certain generations, an aging society with a declining birthrate, population migration to urban areas, shrinking regional economies, and the uneven distribution of employment among young people, it can be difficult for small and medium-sized enterprises in particular to secure successors of an age that can continue the business over the long term. Therefore, there is a need for methods to support business succession in the form of transferring the business to a third party, i.e., third-party succession.

[0005] As a technical means for supporting business succession in the form of transferring a business to another business operator, Patent Document 1 discloses an M&A candidate display method having a configuration and other technical features including a scoring step in which a scoring means calculates a score that is an index representing the compatibility for M&A between the seller company and the buyer company based on the company information of the seller company and the buyer company's desired conditions for M&A, a matching step in which a matching means obtains a matching result that is information in which the seller company is ranked in order of the highest score against the buyer company's desired conditions, and a candidate display step.

[0006] The technology of Patent Document 1 can provide a device and method for realizing an M&A matching service that can perform matching more efficiently than personal matching. [Prior art documents] [Patent documents]

[0007] [Patent Document 1] Japanese Patent Application Publication No. 2017-078985 Summary of the Invention [Problem to be solved by the invention]

[0008] While appropriate decisions by the transferring manager can lead to successful business succession, particularly in small and medium-sized enterprises, if the transferring manager feels there are psychological barriers to business succession in the form of transferring the business to another business, or if the transferring manager does not fully recognize the psychological rewards of carrying out such a form of business succession, it can be difficult for the transferring manager to make the decision to proceed with the business succession.

[0009] If such psychological bias causes the transferring manager to hesitate to make a decision, it may become difficult for the manager to continue the business without business succession taking place, which may result in the manager failing to fulfill the social role mentioned above, and may even make the manager's life after retirement unstable.

[0010] The technology described in Patent Document 1 is only capable of efficiently matching with a purchasing company when the transferring manager decides to transfer the business to another party and provides information as a selling company. Therefore, Patent Document 1 has room for further improvement in terms of eliminating the psychological bias of the transferring manager and supporting decision-making regarding business succession.

[0011] The present invention has been made to solve the problems of the prior art as described above, and aims to provide a technical means to eliminate the psychological bias of the transferring manager regarding business succession and to support decision-making regarding business succession. [Means for solving the problem]

[0012] As a result of intensive research into solving the above-mentioned problems, the inventors have found that the above-mentioned problems can be solved by a configuration or other technical means that quantifies psychological barriers and psychological rewards based on company information and outputs a succession scenario that takes into account the impact of measures to reduce psychological barriers and measures to reinforce psychological rewards on the transfer decision-making.The inventors have then completed the present invention.Specifically, the present invention provides the following.

[0013] The invention according to a first aspect of the present invention includes an information acquisition unit that acquires corporate information related to the finances, human resources, business, legal affairs, and management of a transferee company; a psychological barrier analysis unit that automatically analyzes, based on the corporate information, a risk score (R) that indicates the magnitude of the psychological barriers that the management of the transferee company has toward business succession as a real number ranging from 0 to 1; a reward analysis unit that automatically analyzes, based on the corporate information, a reward score (G) that indicates the magnitude of the psychological reward that the management will obtain from the business succession as a real number ranging from 0 to 1; a decision-making evaluation unit that calculates a transfer decision-making score (W) based on the risk score (R) and the reward score (G) using the formula "W = (1 - R) x (1 + G)"; and a system that causes the psychological barrier analysis unit to calculate the risk score (R) when one or more mitigation measures are taken, causes the reward analysis unit to calculate the reward score (G) when one or more reinforcement measures are taken, and calculates the transfer decision-making score (W) based on the risk score (R) and the reward score (G) by the decision-making evaluation unit. and a protocol output unit that extracts and outputs one or more proposed succession scenarios based on the transfer decision-making score (W) for a plurality of succession scenarios consisting of combinations of the mitigation measures and the reinforcement measures, wherein the psychological barrier analysis unit calculates, as the individual scores that make up the risk score (R), an unnecessary score related to a lack of awareness of the need for business succession, an unurgent score related to a lack of awareness of the urgency of business succession, a distrust score related to distrust of the acquiring company or support organization, and an unsuitable score related to the recognition that the company or the person is not suitable for succession, and the compensation analysis unit calculates, as the individual scores that make up the compensation score (G), a lifestyle score related to the stability of life after retirement brought about by the business succession, an economic score related to the economic rewards brought about by the business succession, an employment score related to the continued employment of employees, a culture score related to the maintenance of corporate culture and brand, a customer score related to the maintenance of customer and business relationships, and a community score related to contribution to the community and the maintenance of social trust.

[0014] In this invention, an information acquisition unit acquires corporate information covering all the attributes of the target company related to the decision-making of the selling manager, and a psychological barrier analysis unit and a reward analysis unit automatically analyze a normalized risk score (R) and reward score (G) based on this corporate information. This allows the invention to automatically analyze and quantify the selling manager's psychological barriers and psychological rewards based on specific corporate information.

[0015] In this invention, the risk score (R), which indicates the magnitude of the psychological barriers that the management of the target company has toward business succession, includes individual scores such as unnecessary score, non-urgent score, distrust score, and inappropriate score. As a result, this invention can automatically analyze the risk score (R) taking into account the psychological barriers that have a significant impact, such as a lack of awareness of the necessity of business succession, a lack of awareness of the urgency, distrust of other companies, and a lack of self-confidence.

[0016] Furthermore, in this invention, the reward score (G), which indicates the magnitude of the psychological reward that the manager will receive from the business succession, includes individual scores such as a lifestyle score, an economic score, an employment score, a culture score, a customer score, and a local score. This allows the invention to automatically analyze the reward score (G) taking into account the psychological rewards that have a significant impact, namely, the social contribution and the personal benefit of the transferring manager, as explained in the Background Art section.

[0017] The decision-making evaluation unit of the invention then calculates the transfer decision score (W) using a formula that uses the normalized risk score (R) and reward score (G) described above. This allows the invention to quantify the transfer decision score related to the transferor's decision to succeed the business through an analysis of the transferring manager's psychological barriers and psychological rewards from specific company information.

[0018] The protocol output unit of the invention uses these automatic analyses and quantifications of the transfer decision-making score to calculate the risk score (R) when mitigation measures are taken and the reward score (G) when reinforcement measures are taken, and extracts and outputs one or more proposed succession scenarios based on the transfer decision-making score (W).In this way, the invention can output proposed succession scenarios that show combinations of mitigation measures and reinforcement measures that support the transferor's management in making a transfer decision.

[0019] Therefore, the invention according to the first aspect of the present invention can provide a technical means for eliminating the psychological bias of the transferring manager regarding business succession and supporting decision-making regarding business succession.

[0020] The second aspect of the invention is the invention of the first aspect, wherein the protocol output unit inputs a prompt including an instruction to ask about mitigation measures related to the individual scores that make up the risk score (R) into the generation AI, causing it to generate the mitigation measures, inputs a prompt including an instruction to ask about reinforcement measures related to the individual scores that make up the reward score (G) into the generation AI, causing it to generate the reinforcement measures, extracts one or more proposed succession scenarios based on the transfer decision-making score (W) for a plurality of succession scenarios consisting of combinations of the mitigation measures and the reinforcement measures, and inputs a prompt including an instruction to compile the mitigation measures and the reinforcement measures related to the proposed succession scenarios into a document to be presented to the transferor's manager into the generation AI, causing it to generate the document.

[0021] According to the invention, the protocol output unit causes the generation AI to generate mitigation measures related to the individual scores that make up the risk score (R) and reinforcement measures related to the individual scores that make up the reward score (G), and extracts and outputs a proposed succession scenario from succession scenarios based on these mitigation measures and reinforcement measures. As a result, the invention can calculate a transfer decision score (W) not only for given mitigation measures and reinforcement measures, but also for mitigation measures and reinforcement measures that reflect the situation indicated by company information and other information, and propose a succession scenario based on the result.

[0022] Therefore, the invention according to the second aspect of the present invention can provide a technical means for eliminating the psychological bias of the transferring manager regarding business succession and supporting decision-making regarding business succession.

[0023] The third aspect of the present invention is the invention according to the first or second aspect, and provides a support device further comprising a preparation status display unit that displays the preparation status for business succession decision-making, including the analysis results of the time series data of the risk score (R), the time series data of the reward score (G), and the time series data of the transfer decision-making score (W), and the analysis results include the analysis results of trend analysis and / or the analysis results of improvement trends.

[0024] This invention makes it possible to visualize the time series trends of the risk score (R), reward score (G), and transfer decision score (W). This allows the transferring manager to understand changes in his or her own psychological barriers and reward expectations, and helps the transferring manager intuitively understand the impact these changes have on the decision score (W). Furthermore, based on trend analysis and analysis of improvement trends, this invention outputs data that allows the transferring manager to check over time whether or not preparations for business succession are progressing, thereby providing the transferring manager with an objective basis for making a succession decision.

[0025] Therefore, the invention according to the third aspect of the present invention can provide a technical means for eliminating the psychological bias of the transferring manager regarding business succession and supporting decision-making regarding business succession.

[0026] A fourth aspect of the present invention is an invention according to any one of the first to third aspects, wherein the information acquisition unit further acquires information on potential buyers of the target company, the information on the potential buyer including evaluation criteria for the potential buyer with respect to the non-financial value of the company; the remuneration analysis unit calculates a corporate value based on the corporate information, calculates a premium valuation amount based on the corporate information and the evaluation criteria for the potential buyer, and automatically analyzes the economic score for the potential buyer based on the corporate value and the premium valuation amount; the calculation of the corporate value is based on a plurality of valuation methods selected from a group of valuation methods including a DCF method, an EBITDA multiple method, a market approach, and a net asset value method; the calculation of the premium valuation amount is based on one or more non-financial values ​​selected from a group of non-financial values ​​including regionality, sociality, and employment retention; and the protocol output unit provides a support device extracting the proposed succession scenario extracted based on the transfer decision score (W) reflecting the economic score for the potential buyer, and outputting the proposed succession scenario together with the potential buyer.

[0027] According to the invention, the compensation analysis unit evaluates corporate value based on multiple valuation methods selected from a group of valuation methods including the DCF method, the EBITDA multiple method, the market approach, and the net asset value method, thereby making it possible to evaluate corporate value while suppressing bias due to the valuation method.

[0028] The economic compensation offered by the transferee to the transferor may include compensation based on financial value as well as compensation for non-financial value such as locality, social contribution, and employment retention. Such non-financial value may vary depending on the evaluation criteria of the potential buyer.

[0029] According to this invention, the information acquisition unit also acquires the potential buyer's evaluation criteria for the company's non-financial value and calculates a premium valuation amount related to the non-financial value. The compensation analysis unit then integrates the company's value and the premium valuation amount to calculate an economic score, and the protocol output unit extracts a proposed succession scenario based on the transfer decision-making score (W) calculated based on this, and outputs it along with the potential buyer associated with the scenario. This allows the support device to provide a succession scenario that provides a high level of psychological satisfaction to the transferring manager, including economic compensation corresponding to non-financial value that differs depending on the potential buyer.

[0030] Therefore, the invention according to the fourth aspect of the present invention can provide a technical means for eliminating the psychological bias of the transferring manager regarding business succession and supporting decision-making regarding business succession.

[0031] The fifth aspect of the present invention is the fourth aspect of the invention, wherein the information acquisition unit is configured to acquire information about the potential buyer from an external device, and the information about the potential buyer includes adaptability data about the potential buyer's adaptability to the target industry and performance data about the potential buyer's track record in business succession, corporate mergers and / or corporate acquisitions; the psychological barrier analysis unit calculates a distrust score for the potential buyer from the individual scores that make up the risk score (R) based on the adaptability data and the performance data; and the protocol output unit provides a support device that extracts and outputs a proposed succession scenario for the potential buyer with a low distrust score as a priority scenario.

[0032] According to this invention, the information acquisition unit acquires suitability data and performance data of potential buyers from an external device, and the psychological barrier analysis unit calculates a distrust score based on this data. This allows the protocol output unit to preferentially present succession scenarios related to potential buyers with low distrust scores, thereby helping to reduce the manager's sense of distrust and incompatibility. Because this preferential presentation is based on quantitative indicators rather than personal judgment, this invention can ease the subjective anxiety of the transferring manager and help them make a business succession decision by objectively examining potential buyers.

[0033] Therefore, the invention according to the fifth aspect of the present invention can provide a technical means for eliminating the psychological bias of the transferring manager regarding business succession and supporting decision-making regarding business succession.

[0034] The sixth feature of the present invention is an invention according to any one of the first to fifth features, wherein the information acquisition unit is configured to acquire the company information from the business system of an external specialist institution related to business succession, and the protocol output unit outputs the proposed succession scenario to a terminal of a person in charge of business succession of the transferring manager who belongs to the specialist institution.

[0035] According to this invention, the information acquisition unit acquires corporate information from the business system of an external specialist institution, and information can be collected efficiently by utilizing existing business data from the specialist institution. This reduces the burden on the transferring manager of the company from collecting comprehensive information himself, and also helps the person in charge to assist with the succession based on the most up-to-date and reliable information.

[0036] Furthermore, according to the present invention, the protocol output unit directly outputs the proposed succession scenario to the terminal of the person in charge, so that the person in charge at the specialist institution can instantly present a scenario based on objective indicators during consultations or interviews. As a result, the present invention helps the person in charge to provide advice with quantitative evidence rather than relying on personal experience or intuition, thereby facilitating the decision-making of the transferring manager.

[0037] Therefore, the invention according to the sixth aspect of the present invention can provide a technical means for eliminating the psychological bias of the transferring manager regarding business succession and supporting decision-making regarding business succession. [Effects of the Invention]

[0038] The present invention can provide a technical means for eliminating the psychological bias of the transferring manager regarding business succession and supporting his / her decision-making regarding business succession. [Brief explanation of the drawings]

[0039] [Figure 1] FIG. 1 is a block diagram showing an example of the hardware and software configuration of a system S. As shown in FIG. [Figure 2] FIG. 2 is an example of the company information database 131. [Figure 3] FIG. 3 is an example of the score database 132. [Figure 4] FIG. 4 is an example of the policy database 133. [Figure 5] FIG. 5 is a main flowchart showing an example of a preferable flow of the assistance process executed by the assistance device 1 of this embodiment. [Figure 6] FIG. 6 is a continuation of the previous figure. [Figure 7] FIG. 7 is a continuation of the previous figure. [Figure 8] FIG. 8 is a continuation of the previous figure. [Figure 9] FIG. 9 is a continuation of the previous figure. DETAILED DESCRIPTION OF THE INVENTION

[0040] First, although the following disclosure, diagrams, and / or claims may be described as being presented alone or in combination with one or more other aspects, the subject matter of the immediate disclosure is not intended to be so limited. That is, the immediate disclosure, diagrams, and claims are intended to encompass the various aspects described herein, each alone or in one or more combinations with each other. For example, even if the immediate disclosure describes and illustrates a first, second, and third embodiment in such a way that the first embodiment is described and illustrated specifically in conjunction with the second embodiment, or the second embodiment is described and illustrated only in conjunction with the third embodiment, the immediate disclosure and illustrations are not so limited and may include only the first embodiment, only the second embodiment, only the third embodiment, or one or more combinations of the first, second, and / or third embodiments, such as the first and second embodiments, the first and third embodiments, the second and third embodiments, or the first, second, and third embodiments.

[0041] The use of the phrase "or" in this document shall mean a "non-exclusive" arrangement unless expressly specified otherwise. For example, "item x is A or B" shall mean either: (1) item x is either A or B, but not both; or (2) item x is both A and B. In other words, the word "or" is not used to define an "exclusive" arrangement.

[0042] Additionally, the phrases "comprising at least one of" and "comprising at least one of the following," when used in conjunction with a system or element, mean that the system or element includes one or more of the elements listed after the phrase. For example, if there are three types of elements, element 1 through element 3, the phrases "comprising at least one of" and "comprising at least one of the following" are to be interpreted as any of the following structural arrangements: a device including the first element, a device including the second element, a device including the third element, a device including the first and second elements, a device including the first and third elements, a device including the second and third elements, or a device including the first, second, and third elements.

[0043] A similar interpretation is intended when the phrase "used in at least one of the following" is used in this context. Furthermore, as used in this context, "and / or" is used as a verbal conjunction to indicate that one or more of the listed elements or conditions are included or occur. For example, a device including a first element, a second element, and / or a third element is to be interpreted as any of the following structural arrangements: a device including the first element, a device including the second element, a device including the third element, a device including the first element and the second element, a device including the first element and the third element, a device including the second element and the third element, or a device including the first element, the second element, and the third element.

[0044] In addition, the use of the phrase "and / or" in the text means a "non-exclusive" agreement, as stipulated in the Japanese Industrial Standards (JIS) "Format and preparation method of standard sheets JIS Z 8301."

[0045] Hereinafter, an example of an embodiment of the present invention will be described in detail with reference to the drawings.

[0046] <System S> FIG. 1 is a block diagram showing an example of the hardware and software configurations of System S. The system (System S) for decision-making by a transferor manager in relation to third-party succession includes a support device (Support Device 1) for decision-making by a transferor manager in relation to third-party succession. The following describes a server-client configuration in which Support Device 1 cooperates with a terminal T configured to be able to communicate with each other via a network N. Based on the following description, a person skilled in the art will be able to easily conceive of a standalone Support Device 1 equipped with input means and display means.

[0047] [Support device 1] The support device 1 according to this embodiment is a computer including a control unit 11, a storage unit 13, and a communication unit 14. The support device 1 executes the program according to this embodiment to support the decision-making of the transferring manager regarding third-party succession.

[0048] [Control unit 11] The control unit 11 includes a central processing unit (CPU), a random access memory (RAM), a read only memory (ROM), and other hardware components.

[0049] The control unit 11 cooperates with at least one of the storage unit 13 and the communication unit 14 as necessary. The control unit 11 then realizes various software components of the program of this embodiment executed by the assistance device 1. The software components include an information acquisition unit 111, a psychological barrier analysis unit 112, a reward analysis unit 113, a decision-making evaluation unit 114, a protocol output unit 115, and a preparation status display unit 116.

[0050] The support process executed by the program of this embodiment will be described later with reference to FIGS.

[0051] [Storage section 13] The memory unit 13 is a device for storing data and / or files, and includes a storage unit for non-temporarily storing data using a hard disk, a semiconductor memory, a recording medium, a memory card, or other storage member. The memory unit 13 preferably stores data of the program executed by the control unit 11, a company information database 131, a score database 132, a policy database 133, content data, and other data.

[0052] In addition, in order to realize generation using the generation AI without transmitting content data to an external device whose management entity is different from that of the support device 1, the memory unit 13 may store data for executing the generation AI of this embodiment.

[0053] (Company Information Database 131) The company information database 131 stores company information relating to the finances, human resources, business, legal affairs, and management of the company to be transferred.

[0054] Examples of corporate information related to finances include sales, profit margins, debt ratios, and other financial information. Examples of information related to human resources include the number of employees, age distribution, qualified personnel, and other human resources information. Examples of information related to business include the main business fields, client composition, whether or not new businesses are being launched, the location of business bases, and other business information. Examples of information related to legal matters include intellectual property held, contractual relationships, litigation risks, and other legal information. Examples of information related to managers include the manager's age, tenure, and other manager information. By storing corporate information containing this information, the support device 1 can grasp the overall state of the company from multiple perspectives and use it to consider succession scenarios.

[0055] 2 is an example of the company information database 131. In this example, each piece of information is associated with a company ID, which is identification information for data management.

[0056] In this example, for company ID "C0001," the following data is stored: financial information: sales revenue of "300 million yen," profit margin of "8%," human resources information: number of employees "50," age distribution "20s: △△ people, 30s: △ people, 40s: △ people, 50s: △△ people, 60s: △△ people," business information: industry "manufacturing," major client "Company A," business location "regional city," legal information: intellectual property held: registered trademark no. △△△△△△△," manager information: manager's age "male in his 60s," and other data.

[0057] By storing such company information in the company information database 131, the support device 1 can calculate a risk score (R) and a reward score (G) based on the company information, and use them in examining succession scenarios.

[0058] (Score Database 132) The score database 132 stores score information including information associating company information with corresponding psychological barriers and information associating company information with corresponding psychological rewards.

[0059] The information on psychological barriers includes a risk score (R) that indicates the magnitude of the psychological barriers that the management of the target company has toward business succession, as a real number ranging from 0 to 1, corresponding to at least a portion of the specific data of the company included in the company information. The information preferably includes individual scores that make up the risk score (R). Examples of the individual scores include an unnecessary score related to a lack of awareness of the need for business succession, an unurgent score related to a lack of awareness of the urgency of business succession, a distrust score related to distrust of the acquiring company or support organization, and an unsuitable score related to the recognition that the company or the management is not suitable for succession. This allows the support device 1 to calculate each individual score corresponding to a specific psychological barrier and evaluate the overall risk score (R) based on these.

[0060] Furthermore, it is preferable that the information on psychological barriers further includes information on the change in the risk score (R) or the individual scores that make up the risk score (R) when mitigation measures are taken, which allows the support device 1 to appropriately evaluate the effectiveness of the mitigation measures.

[0061] The information on psychological rewards includes a reward score (G), which corresponds to at least a portion of the specific data of the company included in the corporate information and indicates the level of psychological reward that the manager of the transferee company will receive from the business succession, as a real number ranging from 0 to 1. The information preferably includes individual scores that make up the reward score (G). Examples of the individual scores include a lifestyle score related to the stability of life after retirement that the business succession will bring, an economic score related to the economic rewards that the business succession will bring, an employment score related to the continued employment of employees, a culture score related to the maintenance of corporate culture and brand, a customer score related to the maintenance of customer and business relationships, and a community score related to contributions to the community and the maintenance of social trust. This allows the support device 1 to calculate each individual score corresponding to a specific psychological reward and evaluate the overall reward score (G) based on these scores.

[0062] Furthermore, it is preferable that the information on the psychological reward further includes information on the change in the reward score (G) or the individual scores that make up the reward score (G) when a remedial measure is taken, thereby enabling the support device 1 to appropriately evaluate the effect of the remedial measure.

[0063] 3 is an example of the score database 132. In this example, each piece of information is associated with a score ID, which is identification information for data management.

[0064] In this example, the information stored regarding psychological barriers includes first score data (score ID "S0001") relating to the distrust score, which is an individual score of the risk score (R), and second score data (score ID "S0002") relating to the distrust score when reduction measures related to the distrust score are taken.

[0065] The first score data is data indicating that the specific value of the distrust score indicating distrust in the acquiring company or the support organization, which corresponds to the specific data that the manager's age is in his / her 60s, which may be included in the company information, is "0.4." The second score data is data indicating that the specific value of the distrust score changed when the manager takes measures to reduce the distrust score, such as attending a support briefing session, is "0.3."

[0066] In addition, in this example, information regarding psychological rewards is stored, including third score data (score ID "S0003") relating to the customer score, which is an individual score of the reward score (G), and fourth score data (score ID "S0004") relating to the customer score when remedial measures related to the customer score are taken.

[0067] The third score data is data indicating that the specific value of the customer score related to maintaining customer and business relationships, which corresponds to specific data that may be included in the company information, such as a manufacturing company located in a regional city, is "0.7." The fourth score data is data indicating that the specific value of the changed customer score when the reinforcement measure of sharing succession cases is taken for the above-mentioned customer score is "0.8."

[0068] By storing such score data in the score database 132, the support device 1 can instantly refer to the scores of the corresponding psychological barriers or psychological rewards based on the input company information and numerically visualize the current owner's psychological state. This enables the support device 1 to predict or compare and evaluate the score changes that will result from the implementation of candidate mitigation or reinforcement measures. Therefore, the support device 1 can optimize the support plan to systematically reduce the psychological barriers to business succession while strategically strengthening the psychological rewards, and can generate a succession scenario to maximize the transfer decision-making score (W).

[0069] (Measure database 133) The measure database 133 stores mitigation measures for the risk score (R) or the individual scores that make up the risk score (R), and reinforcement measures for the reward score (G) or the individual scores that make up the reward score (G).

[0070] The mitigation measures preferably include mitigation measures corresponding to at least a portion of the specific data of the company included in the company information. This allows the support device 1 to consider changes in the score due to mitigation measures according to the specific data of the company and use the results to generate a succession scenario. Similarly, the reinforcement measures preferably include reinforcement measures corresponding to at least a portion of the specific data of the company included in the company information. This allows the support device 1 to consider changes in the score due to reinforcement measures according to the specific data of the company and use the results to generate a succession scenario.

[0071] 4 is an example of the policy database 133. In this example, each piece of information is associated with a policy ID, which is identification information for data management.

[0072] In this example, first measure data (measure ID "A0001"), which is a mitigation measure corresponding to the distrust score, and second measure data (measure ID "A0002"), which is a reinforcement measure corresponding to the customer score, are stored.

[0073] The first measure data corresponds to specific data that may be included in the company information, such as the manager being in his 60s, and indicates "attending a support briefing session" as a measure to reduce the distrust score. The second measure data corresponds to specific data that may be included in the company information, such as the company being in the manufacturing industry and located in a regional city, and indicates "sharing succession case studies" as a measure to strengthen the customer score.

[0074] By storing such policy data in the policy database 133, the support device 1 can generate a succession scenario based on the stored policies. Then, the support device 1 can combine measures to reduce psychological barriers and measures to reinforce psychological rewards to generate a succession scenario that maximizes the transfer decision-making score (W).

[0075] (Generation AI) The generation AI is not particularly limited as long as it performs natural language processing using a language model. Examples of the generation AI include a generation support service that has a large-scale language model (LLM) as a backend, or an inference engine related to the large-scale language model (LLM) executed in the support device 1.

[0076] Examples of such generation assistance services include ChatGPT (registered trademark), Claude, Gemini, and Llama, which have the ability to generate natural language output based on given prompts and can be used to generate mitigation measures for the individual scores that make up the risk score (R) and reinforcement measures for the individual scores that make up the reward score (G) according to this embodiment.

[0077] In order to generate appropriate mitigation measures, the generation AI is preferably pre-trained using training data that associates questions asking about mitigation measures for each individual score with the corresponding mitigation measures. In order to generate mitigation measures tailored to each company, the training data preferably includes mitigation measures tailored to the company's information.

[0078] In order to generate appropriate reinforcement measures, the generation AI is preferably pre-trained using training data that associates questions asking about reinforcement measures for each individual score with the corresponding reinforcement measures. In order to generate reinforcement measures tailored to each company, the training data preferably includes reinforcement measures tailored to company information.

[0079] [Communications Section 14] The specific configuration of the communication unit 14 is not particularly limited as long as it is capable of connecting the support device 1 to the network N and performing communication. The communication unit 14 may be configured using, for example, a network card compatible with the Ethernet standard, a communication device compatible with wireless LAN, or other communication devices.

[0080] [Server 2] The system S is preferably configured to include a server 2 that executes a generation AI that performs natural language processing using a language model as a device separate from the assistance device 1. This allows the assistance device 1 to separate part of the processing and management related to the generation AI from the assistance device 1 itself. The server 2 may be in the form of a cloud server. The server 2 may be managed by a management entity different from that of the assistance device 1.

[0081] [Business System B] Business system B is a system used by external specialized institutions involved in business succession. Business system B includes, for example, one or more systems related to credit unions, regional banks, chambers of commerce, professional offices, and regional financial support organizations.

[0082] It is preferable that business system B is configured to be able to cooperate with system S. This cooperation includes cooperation that enables staff or professional supporters belonging to the institution related to business system B to use the support device 1 in interviews or remote consultations with the manager of the company to be transferred. This configuration is realized, for example, by sending commands and data provided from a terminal belonging to business system B to the support device 1, receiving the data provided from the support device 1 at said terminal, and displaying it as necessary.

[0083] [Network N] The type of network N is not particularly limited as long as it is a network that allows communication between the support device 1 and other devices. The type of network N is, for example, the Internet, a mobile phone network, or a wireless LAN.

[0084] [Terminal T] The terminal T is used by a user of the support device 1. The terminal T performs processes such as receiving and / or displaying data transmitted from the support device 1, transmitting input from the user to the support device 1, and other processes. The type of the terminal T is, for example, a portable terminal (e.g., laptop computer, smartphone, tablet terminal) or a stationary terminal (e.g., desktop computer).

[0085] [Main flowchart of support processing] Fig. 5 is a main flowchart showing an example of a preferred flow of the support processing executed by the support device 1 of this embodiment. Figs. 6, 7, 8, and 9 are each continuations of the previous figures. The following describes an example of a preferred flow of the support processing executed by the support device 1 using Figs. 5 to 9.

[0086] The support process includes a series of processes for acquiring corporate information about the target company. This allows the support device 1 to acquire corporate information about the target company related to the decision-making of the transferring manager, and based on this, automatically analyze and quantify the transferring manager's psychological barriers and psychological rewards. Steps S1 to S2 are an example of this process.

[0087] [Step S1: Determine whether to acquire company information] The control unit 11 executes a process of determining whether or not to acquire company information by the information acquisition unit 111 (company information acquisition determination step). If the control unit 11 determines that the company information should be acquired, the process proceeds to step S2, and if not, the process proceeds to step S3.

[0088] The above determination in this step is realized, for example, by a procedure of determining that acquisition will be made if a predetermined case (e.g., a case in which an instruction from a user regarding acquisition of company information is received by the communication unit 14) applies.

[0089] [Step S2: Obtain company information] The control unit 11 executes a process of acquiring corporate information related to the finances, human resources, business, legal affairs, and management of the transfer target company by the information acquisition unit 111 (corporate information acquisition step). The control unit 11 moves the process to step S3. In this step, the information acquisition unit 111 acquires the above-mentioned corporate information from, for example, data received by the communication unit 14 from the terminal T or from the corporate information database 131 stored in the memory unit 13.

[0090] The support process preferably includes a series of processes for acquiring buyer information, which is information on potential buyers of the target company, including at least the buyers' evaluation criteria for the company's non-financial value. This allows the support device 1 to provide a succession scenario that provides high psychological satisfaction to the transferring manager, including economic rewards corresponding to non-financial value that differ depending on the potential buyer. Steps S3 to S4 are an example of this process.

[0091] [Step S3: Determine whether to acquire buyer information] The control unit 11 executes a process of determining whether or not to acquire buyer information by the information acquisition unit 111 (buyer information acquisition determination step). If the control unit 11 determines that the buyer information should be acquired, the process proceeds to step S4, and if not, the process proceeds to step S5.

[0092] The determination in this step is realized by a procedure of determining that the buyer information should be acquired when a predetermined case (for example, when the communication unit 14 receives an instruction from the user regarding the acquisition of buyer information) is met.

[0093] [Step S4: Obtain buyer information] The control unit 11 executes a process of acquiring buyer information, which is information on potential buyers of the transfer target company, using the information acquisition unit 111 (buyer information acquisition step). The control unit 11 moves the process to step S5. In this step, the information acquisition unit 111 acquires the above-mentioned buyer information from, for example, data received by the communication unit 14 from terminal T.

[0094] The buyer information preferably includes evaluation criteria for potential buyers with respect to the non-financial value of the company, which allows the support device 1 to consider succession scenarios that include the non-financial value of the company.

[0095] Furthermore, the buyer information preferably includes suitability data relating to the suitability of the potential buyer to the target industry and performance data relating to the potential buyer's performance in business succession, corporate mergers and / or acquisitions. This allows the support device 1 to calculate a distrust score based on these data, and prioritize presenting succession scenarios related to potential buyers with low distrust scores, thereby helping to reduce the manager's distrust and sense of incompatibility.

[0096] The support process includes a series of processes for generating a succession scenario for business succession from the manager of the transferee company to a third party. Steps S5 to S25 are an example of this process.

[0097] [Step S5: Determine whether to generate a succession scenario] The control unit 11 executes a process of determining whether or not to generate a successor scenario (a successor scenario generation determination step). If the control unit 11 determines that a successor scenario should be generated, the process proceeds to step S6, and if not, the process proceeds to step S26.

[0098] The above determination in this step is realized, for example, by a procedure in which it is determined that a succession scenario should be generated when a predetermined case (e.g., a case in which the communication unit 14 receives an instruction from a user regarding the generation of a succession scenario) is met.

[0099] [Step S6: Automatic analysis of psychological barriers (R)] The control unit 11 executes a process in which the psychological barrier analysis unit 112 automatically analyzes a risk score (R) that indicates the magnitude of the psychological barriers that the manager of the transferee company has toward business succession as a real number ranging from 0 to 1, based on the above-mentioned company information (first psychological barrier analysis step). The control unit 11 moves the process to step S7. The automatic analysis in this step is performed, for example, based on information stored in the score database 132 that associates company information with corresponding psychological barriers.

[0100] In this step, the psychological barrier analysis unit 112 calculates the individual scores that make up the risk score (R): an unnecessary score related to a lack of awareness of the need for business succession, an unurgent score related to a lack of awareness of the urgency of business succession, a distrust score related to distrust of the acquiring company or support organization, and an unsuitable score related to the recognition that one's own company or oneself is unsuitable for succession. At this time, the risk score (R) is calculated, for example, by processing to find the average of each individual score.

[0101] [Step S7: Automatic analysis of psychological reward (G)] The control unit 11 executes a process in which the reward analysis unit 113 automatically analyzes a reward score (G) that indicates the magnitude of the psychological reward that the manager of the target company will receive from the business succession as a real number ranging from 0 to 1 (first reward analysis step). The control unit 11 moves the process to step S8. The automatic analysis in this step is performed, for example, based on information stored in the score database 132 that associates company information with the corresponding psychological reward.

[0102] In this step, the remuneration analysis unit 113 calculates the individual scores that make up the remuneration score (G), including a lifestyle score related to the stability of life after retirement brought about by business succession, an economic score related to the economic rewards brought about by business succession, an employment score related to continued employment of employees, a culture score related to maintaining corporate culture and brand, a customer score related to maintaining customer and business relationships, and a community score related to contribution to the community and maintaining social trust. At this time, the remuneration score (G) is calculated, for example, by processing to find the average of each individual score.

[0103] [Step S8: Calculate the transfer decision score (W)] The control unit 11 executes a process of calculating the transfer decision score (W) using the formula "W = (1 - R) × (1 + G)" based on the risk score (R) and reward score (G) by the decision evaluation unit 114 (first decision evaluation step). The control unit 11 proceeds to step S9.

[0104] In the support processing of this embodiment, the protocol output unit 115 causes the psychological barrier analysis unit 112 to calculate a risk score (R) when one or more mitigation measures are taken, causes the reward analysis unit 113 to calculate a reward score (G) when one or more reinforcement measures are taken, causes the decision-making evaluation unit 114 to calculate a transfer decision-making score (W) based on the risk score (R) and the reward score (G), and executes a process to calculate the transfer decision-making score (W) for multiple succession scenarios consisting of combinations of mitigation measures and reinforcement measures.

[0105] Steps S9 to S21 are an example of this process. In this example, mitigation measures and remedial measures are acquired, and a loop process is performed that covers all combinations of the acquired mitigation measures and remedial measures to calculate the transfer decision score (W) for multiple succession scenarios consisting of combinations of mitigation measures and remedial measures. Those skilled in the art will understand that the above process can be similarly implemented using various conventionally known procedures for calculating the results for each combination.

[0106] In addition, in this example, mitigation measures and reinforcement measures are acquired in advance, but the protocol output unit 115 may also acquire mitigation measures and reinforcement measures sequentially using various conventionally known optimization algorithms, and calculate the transfer decision-making score (W) for multiple succession scenarios consisting of combinations of the acquired mitigation measures and reinforcement measures.

[0107] In addition, in order to reflect changes in the transfer decision score (W) due to information about the potential buyer, in the support processing of this embodiment, it is preferable that the protocol output unit 115 executes a process to calculate a transfer decision score (W) that reflects the economic score related to the potential buyer.

[0108] In the example shown in steps S9 to S21, potential buyers, mitigation measures, and countermeasures are acquired, and a loop process is performed that covers all the combinations of the acquired potential buyers, mitigation measures, and countermeasures to calculate the transfer decision score (W) for multiple succession scenarios consisting of combinations of potential buyers, mitigation measures, and countermeasures. Those skilled in the art will understand that the above process can be similarly realized using various conventionally known procedures for calculating the results for each combination.

[0109] [Step S9: Obtain potential buyers] The control unit 11 executes a process of acquiring a list of potential buyers of the transfer target company by the information acquisition unit 111 (potential buyer acquisition step). The control unit 11 moves the process to step S10. In this step, the information acquisition unit 111 acquires the above-mentioned list from data received by the communication unit 14 from the terminal T, for example.

[0110] [Step S10: Obtain mitigation measures] The control unit 11 executes a process of acquiring mitigation measures for the risk score (R) by the protocol output unit 115 (mitigation measure acquisition step). The control unit 11 moves the process to step S11.

[0111] In this step, the protocol output unit 115 preferably inputs a prompt including an instruction to ask for mitigation measures related to the individual scores that make up the risk score (R) to the generation AI, and causes the AI ​​to generate the mitigation measures. As a result, the support device 1 can acquire the generated mitigation measures and consider a succession scenario using the mitigation measures. In order to reflect knowledge of mitigation measures according to the company information, the protocol output unit 115 preferably instructs the generation AI to refer to the policy database 133.

[0112] In addition, in this step, it is preferable that the protocol output unit 115 acquires mitigation measures from the measure database 133. This allows the support device 1 to directly acquire mitigation measures that reflect knowledge of mitigation measures corresponding to the company information from the database.

[0113] [Step S11: Obtain reinforcement measures] The control unit 11 executes a process of acquiring a reinforcing measure for the reward score (G) through the protocol output unit 115 (reinforcing measure acquisition step). The control unit 11 moves the process to step S12.

[0114] In this step, the protocol output unit 115 preferably inputs a prompt including an instruction to ask for a reinforcement measure related to the individual scores that constitute the reward score (G) to the generation AI, and causes the generation AI to generate the reinforcement measure. As a result, the support device 1 can acquire the generated reinforcement measure and consider a succession scenario using the reinforcement measure. In order to reflect knowledge of the reinforcement measure according to the company information, the protocol output unit 115 preferably instructs the generation AI to refer to the policy database 133.

[0115] In addition, in this step, it is preferable that the protocol output unit 115 acquires the reinforcing measures from the measure database 133. This allows the support device 1 to directly acquire the reinforcing measures that reflect knowledge corresponding to the company information from the database.

[0116] [Step S12: Start buyer candidate loop] The control unit 11 executes a process to start a buyer candidate loop by the protocol output unit 115 (buyer candidate loop start step). The control unit 11 moves the process to step S13. In this loop, the control unit 11 executes a process to calculate a transfer decision score (W) for each acquired buyer candidate and associate it with the succession scenario.

[0117] [Step S13: Start mitigation loop] The control unit 11 executes a process to start a mitigation loop using the protocol output unit 115 (mitigation loop start step). The control unit 11 moves the process to step S14. In this loop, a transfer decision score (W) is calculated for each acquired mitigation strategy, and a process to associate the score with the succession scenario is executed.

[0118] [Step S14: Start reinforcement loop] The control unit 11 executes a process of starting a reinforcement measure loop by the protocol output unit 115 (reinforcement measure loop start step). The control unit 11 moves the process to step S15. In this loop, a transfer decision score (W) is calculated for each acquired reinforcement measure, and a process of associating the score with the succession scenario is executed.

[0119] [Step S15: Automatic analysis of psychological barriers (R)] The control unit 11 executes a process of automatically analyzing the risk score (R) when one or more mitigation measures are taken by the psychological barrier analysis unit 112 (second psychological barrier analysis step). The control unit 11 moves the process to step S16. The automatic analysis in this step may be the same as the first psychological barrier analysis step, except that the risk score (R) when the mitigation measures are taken and / or its individual scores are automatically analyzed.

[0120] Furthermore, if the adaptability data and performance data described above have been acquired, in this step, the psychological barrier analysis unit 112 preferably calculates a distrust score for the potential buyer among the individual scores that make up the risk score (R) based on the adaptability data and performance data described above. This allows the support device 1 to preferentially present one of the potential buyers based on quantitative indicators rather than on subjective judgment.

[0121] [Step S16: Automatic analysis of psychological reward (G)] The control unit 11 executes a process in which the compensation analysis unit 113 automatically analyzes a compensation score (G) that indicates the magnitude of the psychological compensation that the manager of the transferee company will receive from the business succession as a real number ranging from 0 to 1 (second compensation analysis step). The control unit 11 moves the process to step S17. The automatic analysis in this step may be the same as the first compensation analysis step, except that the compensation score (G) and / or its individual score when the remedial measures are taken are automatically analyzed.

[0122] Furthermore, if the above-mentioned evaluation criteria have been acquired, in this step, it is preferable that the remuneration analysis unit 113 calculates the enterprise value based on the enterprise information, calculates a premium evaluation amount based on the enterprise information and the evaluation criteria related to the potential buyer, and automatically analyzes the economic score related to the potential buyer based on the enterprise value and the premium evaluation amount. This enables the support device 1 to provide a succession scenario that provides a high level of psychological satisfaction to the transferring manager, including economic remuneration corresponding to non-financial value that differs depending on the potential buyer.

[0123] The calculation of the above-mentioned enterprise value is preferably performed based on a plurality of valuation methods selected from a group of valuation methods including the DCF method, the EBITDA multiple method, the market approach, and the net asset value method, thereby enabling the support device 1 to evaluate the enterprise value while suppressing bias due to the valuation method.

[0124] Furthermore, it is preferable that the calculation of the premium valuation amount is performed based on one or more non-financial values ​​selected from a group of non-financial values ​​including regionality, sociality, and employment maintenance, thereby enabling the support device 1 to calculate the premium valuation amount taking into account multifaceted non-financial values.

[0125] In this step, it is preferable that the remuneration analysis unit 113 calculates a premium valuation amount if the calculated enterprise value satisfies a predetermined condition (e.g., a condition that the enterprise value is 0 yen or less) and automatically analyzes the economic score of the potential buyer based on the enterprise value and / or the premium valuation amount, and if the condition is not satisfied, automatically analyzes the economic score of the potential buyer based on the enterprise value. This allows the support device 1 to perform processing to calculate the premium valuation amount as needed and suppress an increase in the amount of calculation processing involved in the processing.

[0126] The automatic analysis of the economic score based on the enterprise value and / or premium valuation amount is realized, for example, by a procedure of analyzing the economic score based on the sum of the monetary converted premium valuation amount and the enterprise value, a procedure of averaging the economic score based on the enterprise value and the economic score based on the premium valuation amount, a procedure of replacing the economic score based on the enterprise value with the economic score based on the premium valuation amount when the premium valuation amount is calculated, etc. In order to limit the consideration of non-financial value to situations where such value is particularly important, the automatic analysis preferably involves a procedure of calculating a premium valuation amount taking into account non-financial value, particularly when the calculated enterprise value is 0 yen or less, and deriving the economic score in addition to the enterprise value.

[0127] [Step S17: Calculate the transfer decision score (W)] The control unit 11 executes a process of calculating the transfer decision score (W) in the same procedure as the first decision-making evaluation step, except that it is based on the score that reflects the potential buyers, mitigation measures, and / or reinforcement measures (second decision-making evaluation step). The control unit 11 proceeds to step S18.

[0128] [Step S18: Associate succession scenario with score (W)] The control unit 11 executes a process in which the protocol output unit 115 generates a succession scenario consisting of a combination of the above-mentioned mitigation measures and reinforcement measures, associates the succession scenario with the transfer decision-making score (W) and other information, and stores the associated information in the storage unit 13 (succession scenario generation step). The control unit 11 then proceeds to step S19.

[0129] (Maintaining fluctuation history) When time-series data of company information (e.g., fluctuation history over a predetermined period) is available or whenever each score is recalculated, in this step, the protocol output unit 115 preferably stores and retains the time-series data of the transfer decision score (W), risk score (R), and reward score (G) corresponding to the time-series data (e.g., fluctuation history over the predetermined period) and other analysis results (e.g., individual scores, succession scenarios) in the memory unit 13. For time-series analysis, the time-series data preferably includes an association between the analysis results and a timestamp.

[0130] This allows the support device 1 to automatically determine trend analysis related to changes in each score or improvement trends of specific factors based on the stored time-series data. Also, this allows the support device 1 to visualize the preparation status for business succession decision-making in chronological order based on the stored time-series data.

[0131] By performing the above-mentioned succession scenario generation and association following a series of processes executed within a loop, the protocol output unit 115 causes the psychological barrier analysis unit 112 to calculate a risk score (R) when one or more mitigation measures are taken, causes the reward analysis unit 113 to calculate a reward score (G) when one or more reinforcement measures are taken, and causes the decision-making evaluation unit 114 to calculate a transfer decision-making score (W) based on the risk score (R) and the reward score (G), thereby generating multiple succession scenarios consisting of combinations of the mitigation measures and the reinforcement measures.

[0132] [Step S19: If all reinforcement measures have been processed, end the reinforcement measure loop] The control unit 11 executes a process of determining whether or not all reinforcement measures that were to be processed at the start of the reinforcement measure loop have been processed by the protocol output unit 115 (reinforcement measure loop end determination step). If the control unit 11 determines that all reinforcement measures have been processed, it ends the reinforcement measure loop and moves the process to step S20, and if not, it continues the reinforcement measure loop and moves the process to step S15.

[0133] [Step S20: If all mitigation measures have been processed, end the mitigation measure loop] The control unit 11 executes a process of determining whether or not all mitigation measures that were the processing targets at the start of the mitigation loop have been processed (mitigation loop end determination step) by the protocol output unit 115. If the control unit 11 determines that all mitigation measures have been processed, it ends the mitigation loop and moves the process to step S21, and if not, it continues the mitigation loop and moves the process to step S14.

[0134] [Step S21: If all potential buyers have been processed, end the potential buyer loop] The control unit 11 executes a process of determining whether all the buyer candidates that were the processing targets at the start of the buyer candidate loop have been processed by the protocol output unit 115 (a buyer candidate loop termination determination step). If the control unit 11 determines that all the buyer candidates have been processed, it terminates the buyer candidate loop and moves the process to step S22, and if not, it continues the buyer candidate loop and moves the process to step S13.

[0135] After calculating the transfer decision-making scores (W) for multiple succession scenarios consisting of combinations of mitigation measures and reinforcement measures, the support device 1 executes a series of processes to extract and output one or more proposed succession scenarios based on the calculated transfer decision-making scores (W) through the protocol output unit 115. Steps S22 to S23 are an example of this process.

[0136] [Step S22: Extract proposed succession scenarios] The control unit 11 executes a process of extracting one or more proposed succession scenarios based on the transfer decision-making score (W) through the protocol output unit 115 (proposed succession scenario extraction step). The control unit 11 moves the process to step S23.

[0137] In this step, the protocol output unit 115 extracts as a proposed succession scenario, for example, a succession scenario whose transfer decision score (W) satisfies given conditions (e.g., a condition that it is above a certain standard, or a condition that it is included in a predetermined number counting from the top).

[0138] Furthermore, when a premium valuation amount has been calculated, the protocol output unit 115 preferably extracts a proposed succession scenario based on the transfer decision score (W) that reflects the economic score of the potential buyer, thereby enabling the protocol output unit 115 to output the proposed succession scenario together with the potential buyer.

[0139] [Step S23: Command to output the proposed succession scenario] The control unit 11 executes a process of instructing the protocol output unit 115 to output the proposed succession scenario extracted in the previous step (proposed succession scenario output instruction step). The control unit 11 moves the process to step S24. In this step, the protocol output unit 115 instructs the terminal T, for example, via the communication unit 14, to output the proposed succession scenario.

[0140] In this step, it is preferable that the protocol output unit 115 inputs a prompt to the generation AI that includes instructions to compile the mitigation measures and reinforcement measures related to the proposed succession scenario into a document to be presented to the transferor manager, and generates the document.

[0141] In addition, in this step, it is preferable that the protocol output unit 115 inputs a prompt including an instruction to generate a succession support message related to the proposed succession scenario to the generation AI, and causes the AI ​​to generate the message.

[0142] When a premium valuation amount has been calculated, it is preferable that the protocol output unit 115 outputs a proposed succession scenario extracted based on a transfer decision score (W) that reflects the economic score related to the potential buyer together with the potential buyer.

[0143] When the support device 1 is collaborating with a business system B of an external specialist agency related to business succession, it is preferable that the protocol output unit 115 outputs the proposed succession scenario to the terminal T of a person who belongs to the specialist agency and is in charge of the business succession of the transferring manager. The support device 1 determines whether or not it is collaborating with the business system B of the external specialist agency, for example, by a procedure for determining that it is collaborating when the information acquisition unit 111 acquires company information from the business system B of the external specialist agency related to business succession.

[0144] Furthermore, when the distrust score for a potential buyer among the individual scores constituting the risk score (R) is calculated based on the adaptability data and performance data, the support device 1 preferably executes a series of processes to extract and output, as a priority scenario, a proposed succession scenario for a potential buyer with a low distrust score, via the protocol output unit 115. Steps S24 to S25 are an example of such processes.

[0145] [Step S24: Extracting priority scenarios] The control unit 11 executes a process in which the protocol output unit 115 extracts, from the extracted proposed succession scenarios, a proposed succession scenario related to a potential buyer with a low distrust score as a priority scenario (priority scenario extraction step). The control unit 11 then proceeds to step S25.

[0146] In this step, the protocol output unit 115 extracts as a priority scenario, for example, a proposed succession scenario whose distrust score meets a given condition (e.g., a condition that the distrust score is above a certain standard, or a condition that the distrust score is among a predetermined number of scenarios counting from the top).

[0147] [Step S25: Command to output priority scenario] The control unit 11 executes a process of instructing the protocol output unit 115 to output the priority scenario extracted in the previous step (priority scenario output step). The control unit 11 moves the process to step S26. In this step, the protocol output unit 115 instructs the terminal T to output the priority scenario, for example, via the communication unit 14.

[0148] When the time series data of the risk score (R), the time series data of the reward score (G), and the time series data of the transfer decision-making score (W) are available, it is preferable that the support device 1 executes a series of processes to display the preparation status for business succession decision-making, including the analysis results of the time series data of the risk score (R), the time series data of the reward score (G), and the time series data of the transfer decision-making score (W), by the preparation status display unit 116. Steps S26 to S27 are an example of such processes.

[0149] [Step S26: Analyze time series data] The control unit 11 executes a process of analyzing the time series data of the risk score (R), the time series data of the reward score (G), and the time series data of the transfer decision score (W) by the preparation status display unit 116 (time series data analysis step). The control unit 11 shifts the process to step S27.

[0150] These time-series data are stored in a database constructed using, for example, the storage unit 13, and are maintained as a fluctuation history of each score. Examples of analysis of the time-series data include trend analysis of the tendency of change in each score, visual representation (e.g., graphing) of the time-series data, and analysis of improvement trends. Analysis of improvement trends includes, for example, identifying points at which a score began to increase or decrease, identifying points at which the rate of increase or decrease exceeded a given threshold, and identifying points at which the transfer decision score (W) exceeded a given threshold.

[0151] [Step S27: Command to display preparation status] The control unit 11 executes a process of displaying the preparation status for decision-making on business succession, including the analysis result of the time-series data, by the preparation status display unit 116 (preparation status display command step). The control unit 11 returns the process to step S1 and repeats the processes from step S1 to step S27.

[0152] In this step, the preparation status display unit 116 can, for example, display the transitions of the transfer decision score (W), risk score (R), and reward score (G) over time as a line graph, highlighting the change in scores before and after the implementation of specific mitigation measures or reinforcement measures. The preparation status display unit 116 also visualizes the contribution of key factors (e.g., distrust score or customer score) in each period, allowing the user to intuitively grasp the progress of psychological preparation for the succession. This allows the support device 1 to quantitatively present changes in psychological maturity related to business succession and provide step-by-step support for the process leading to succession behavior.

[0153] [Effects of support processing] By executing the above-mentioned support process, the support device 1 performs the following steps: an information acquisition step (steps S1 to S2) of acquiring company information related to the finances, human resources, business, legal affairs, and manager of the transferee company; a psychological barrier analysis step (steps S6 and S15) of automatically analyzing, based on the company information, a risk score (R) that indicates the magnitude of the psychological barriers that the manager of the transferee company has toward business succession as a real number ranging from 0 to 1; and a psychological barrier analysis step (steps S7 and S18) of automatically analyzing, based on the company information, the magnitude of the psychological reward that the manager will obtain from business succession as a real number ranging from 0 to 1. A reward analysis step (steps S7 and S16) automatically analyzes a reward score (G) indicated by a real number in the range, a decision-making evaluation step (steps S8 and S17) calculates a transfer decision score (W) based on the risk score (R) and the reward score (G) using the formula "W = (1 - R) × (1 + G)", and a psychological barrier analysis unit 112 calculates a risk score (R) when one or more mitigation measures are taken, a reward analysis unit 113 calculates a reward score (G) when one or more reinforcement measures are taken, and the risk score (R) is calculated. and a protocol output step (steps S10 to S23) in which a transfer decision score (W) based on the reward score (G) is calculated by the decision evaluation unit 114, and for a plurality of succession scenarios consisting of a combination of the mitigation measures and the reinforcement measures, one or more proposed succession scenarios are extracted and output based on the transfer decision score (W). The psychological barrier analysis unit 112 calculates, as individual scores constituting the above-mentioned risk score (R), an unnecessary score relating to a lack of awareness of the need for business succession, an unurgent score relating to a lack of awareness of the urgency of business succession, a distrust score relating to distrust of the acquiring company or support organization, and an unsuitable score relating to the recognition that one's own company or oneself is unsuitable for succession. The reward analysis unit 113 calculates, as individual scores constituting the above-mentioned reward score (G), a lifestyle score relating to the stability of life after retirement brought about by the business succession, an economic score relating to the economic reward brought about by the business succession, an employment score relating to the continued employment of employees, a culture score relating to the maintenance of corporate culture and brand, a customer score relating to the maintenance of customer and business relationships, and a community score relating to contribution to the community and maintenance of social trust.

[0154] (Basic functions) In the support device 1, the information acquisition unit 111 acquires company information that covers all the attributes of the target company related to the decision-making of the transferring manager (steps S1 to S2), and the psychological barrier analysis unit 112 and the reward analysis unit 113 automatically analyze the normalized risk score (R) and reward score (G) based on this company information (steps S6 to S7 and steps S15 to S16). This allows the support device 1 to automatically analyze and quantify the transferring manager's psychological barriers and psychological rewards based on specific company information.

[0155] In the above-mentioned support process, the risk score (R), which indicates the magnitude of the psychological barriers that the manager of the transferee company has toward business succession, includes, as individual scores, an unnecessary score, an unurgent score, a distrust score, and an inappropriate score. This allows the support device 1 to automatically analyze the risk score (R) taking into account the psychological barriers that have a significant impact, such as a lack of awareness of the necessity of business succession, a lack of awareness of the urgency, distrust of other companies, and a lack of self-confidence.

[0156] Furthermore, in the above-mentioned support process, the reward score (G), which indicates the magnitude of the psychological reward that the manager will receive from the business succession, includes individual scores such as a lifestyle score, an economic score, an employment score, a culture score, a customer score, and a local score. This allows the support device 1 to automatically analyze the reward score (G) taking into account the psychological rewards that have a large impact, namely, the social contribution and the personal benefit of the transferring manager, as described in the background art section.

[0157] The decision-making evaluation unit 114 then calculates the transfer decision-making score (W) using a formula that uses the normalized risk score (R) and reward score (G) described above (steps S8 and S17). This allows the support device 1 to quantify the transfer decision-making score related to the transferor manager's decision to succeed the business through an analysis of the transferring manager's psychological barriers and psychological rewards from specific company information.

[0158] The protocol output unit 115 of the support device 1 uses these automatic analyses and quantifications of the transfer decision-making score to calculate the risk score (R) when mitigation measures are taken and the reward score (G) when reinforcement measures are taken, and extracts and outputs one or more proposed succession scenarios based on the transfer decision-making score (W) (steps S10 to S23). This allows the support device 1 to output proposed succession scenarios that indicate combinations of mitigation measures and reinforcement measures that support the transferor manager's transfer decision-making.

[0159] Therefore, the support device 1 that executes the support process of this embodiment can eliminate the psychological bias of the transferring manager regarding business succession and provide a technical means for supporting the decision-making regarding business succession.

[0160] (Regarding the Function of Compiling Documents) In addition to the basic functions described above, the support process may include steps for compiling documents. In this embodiment, the protocol output unit 115 inputs a prompt including an instruction to the generation AI to ask about mitigation measures related to the individual scores that make up the risk score (R), causing the generation AI to generate the mitigation measures (Step S10), inputs a prompt including an instruction to ask about reinforcement measures related to the individual scores that make up the reward score (G), causing the generation AI to generate the reinforcement measures (Step S11), extracts one or more proposed succession scenarios based on the transfer decision-making score (W) from multiple succession scenarios consisting of combinations of the mitigation measures and the reinforcement measures, and inputs a prompt including an instruction to the generation AI to compile the mitigation measures and reinforcement measures related to the proposed succession scenarios into documents to be presented to the transferor manager, causing the generation AI to generate the documents (Step S23).

[0161] According to this aspect, the protocol output unit 115 causes the generation AI to generate mitigation measures related to the individual scores that make up the risk score (R) and reinforcement measures related to the individual scores that make up the reward score (G), and extracts and outputs a proposed succession scenario from a succession scenario based on these mitigation measures and reinforcement measures. As a result, the support device 1 can calculate a transfer decision-making score (W) not only for given mitigation measures and reinforcement measures, but also for mitigation measures and reinforcement measures that reflect the situation indicated by company information and other information, and propose a succession scenario based on the result.

[0162] Therefore, this aspect, in that the documents are presented together, can eliminate the psychological bias of the transferring manager regarding business succession and provide a technical means to support decision-making regarding business succession.

[0163] (Regarding the Time Series Analysis Function) In addition to the basic functions described above, the support process may take the form of including steps for implementing a time series analysis function. In this form, the support process further executes a preparation status display step of displaying the preparation status for business succession decision-making, including the analysis results of the time series data of the risk score (R), the reward score (G), and the transfer decision-making score (W) (steps S26 to S27), and the analysis results are configured to include the analysis results of trend analysis and / or the analysis results of improvement trends.

[0164] According to this aspect, it is possible to visualize the time-series trends of the risk score (R), reward score (G), and transfer decision score (W). As a result, the support device 1 can help the transferring manager understand changes in his or her own psychological barriers and reward expectations, as well as intuitively understand the impact of these changes on the transfer decision score (W). Furthermore, the support device 1 that executes the support processing of this aspect outputs a time-series confirmation of whether or not preparations for business succession are progressing based on trend analysis and analysis of improvement trends, thereby providing the transferring manager with objective grounds for making a succession decision.

[0165] Therefore, this aspect can provide a technical means to eliminate the psychological bias of the transferring manager regarding business succession and support decision-making regarding business succession, also in that it presents the preparation status in chronological order.

[0166] (Premium Evaluation Amount Calculation Function) The support process may take a form that includes steps that realize a premium evaluation amount calculation function in addition to the basic functions described above. In this embodiment, the support process is configured so that the information acquisition step further acquires information on potential buyers of the company to be transferred (steps S3 to S4), the information on the potential buyer including the potential buyer's evaluation criteria for the company's non-financial value, the compensation analysis step calculates the company's value based on the company information, calculates a premium valuation amount based on the company information and the evaluation criteria related to the potential buyer, and automatically analyzes the economic score related to the potential buyer based on the company value and the premium valuation amount, the calculation of the company's value is performed based on multiple valuation methods selected from a group of valuation methods including the DCF method, the EBITDA multiple method, the market approach, and the net asset value method, and the calculation of the premium valuation amount is performed based on one or more non-financial values ​​selected from a group of non-financial values ​​including regionality, sociality, and employment retention (steps S7 and S16), and the protocol output unit 115 extracts a proposed succession scenario extracted based on the transfer decision-making score (W) reflecting the economic score related to the potential buyer, and outputs it together with the potential buyer (steps S22 to S23).

[0167] According to this embodiment, the compensation analysis unit 113 evaluates the corporate value based on multiple valuation methods selected from a group of valuation methods including the DCF method, the EBITDA multiple method, the market approach, and the net asset method, so that the corporate value can be evaluated while suppressing bias due to the valuation method (steps S7 and S16).

[0168] The economic compensation offered by the transferee to the transferor may include compensation based on financial value as well as compensation for non-financial value such as locality, social contribution, and employment retention. Such non-financial value may vary depending on the evaluation criteria of the potential buyer.

[0169] According to this aspect, the information acquisition unit 111 also acquires the potential buyer's evaluation criteria for the company's non-financial value and calculates a premium evaluation amount related to the non-financial value (steps S7 and S16). Then, according to this aspect, the remuneration analysis unit 113 integrates the company's value and the premium evaluation amount to calculate an economic score, and the protocol output unit 115 extracts a proposed succession scenario based on the transfer decision-making score (W) calculated based on this, and outputs it together with the potential buyer related to the scenario (steps S7 to S8 and steps S16 to S17). In this way, the support device 1 can provide a succession scenario that will provide a high level of psychological satisfaction to the transferring manager, including economic remuneration corresponding to non-financial value that differs depending on the potential buyer.

[0170] Therefore, this aspect can provide a technical means to eliminate the psychological bias of the transferring manager regarding business succession and support decision-making regarding business succession, also in terms of taking non-financial value into consideration.

[0171] (About the priority scenario extraction function) The support process may include steps for realizing a preferred scenario extraction function in addition to the basic functions and premium appraisal calculation function described above. In this embodiment, the support process is configured such that the information acquisition unit 111 acquires information about the potential buyer from an external device (e.g., terminal T, business system B) (steps S3 to S4), the information about the potential buyer includes adaptability data related to the adaptability of the potential buyer to the target industry and performance data related to the potential buyer's performance in business succession, corporate mergers, and / or corporate acquisitions, the psychological barrier analysis unit 112 calculates a distrust score related to the potential buyer from the individual scores that make up the risk score (R) based on the adaptability data and the performance data (steps S6 and S15), and the protocol output unit 115 extracts and outputs a proposed succession scenario related to the potential buyer with a low distrust score as a preferred scenario (steps S24 to S25).

[0172] According to this aspect, the information acquisition unit 111 acquires suitability data and performance data of potential buyers from an external device, and the psychological barrier analysis unit 112 calculates a distrust score based on this data. As a result, the protocol output unit 115 preferentially presents succession scenarios related to potential buyers with low distrust scores, thereby providing support to reduce the manager's distrust and sense of incompatibility. Because this preferential presentation is based on quantitative indicators rather than personal judgment, the support device 1 can alleviate the subjective anxiety of the transferring manager and support them in making a decision on business succession by objectively examining potential buyers.

[0173] Therefore, this aspect can also provide a technical means to eliminate the psychological bias of the transferring manager regarding business succession and support his or her decision-making regarding business succession, by presenting a preferred scenario that includes potential buyers.

[0174] (Business system integration function) The support process can take the form of including steps for realizing a business system linkage function in addition to the basic functions described above. In this form, the support process is configured such that the information acquisition unit 111 acquires company information from a business system B of an external specialist organization related to business succession (steps S1 to S2), and the protocol output unit 115 outputs a proposed succession scenario to a terminal of a person in charge of the business succession of the transferring manager who belongs to the specialist organization (step S23).

[0175] According to this aspect, the information acquisition unit 111 acquires company information from the business system B of an external specialized institution (steps S1 to S2), and thus information can be collected efficiently by utilizing existing business data at the specialized institution. As a result, the support device 1 can reduce the burden on the transferring manager of the company from comprehensively collecting information himself, and can also support the person in charge in assisting the succession based on the latest and most reliable information.

[0176] Furthermore, according to this aspect, the protocol output unit 115 directly outputs the proposed succession scenario to the terminal of the person in charge (step S23), so the person in charge at the specialist institution can immediately present a scenario based on objective indicators during consultations or interviews. As a result, the support device 1 can facilitate the decision-making of the transferring manager by supporting the person in charge to provide advice with quantitative evidence without relying on personal experience or intuition.

[0177] Therefore, this aspect, in terms of linking with business system B of an external specialist institution, can eliminate the psychological bias of the transferring manager regarding business succession and provide a technical means to support decision-making regarding business succession.

[0178] <Usage example> The following is an example of how the support device 1 of this embodiment is used.

[0179] [Enter company information] A user who belongs to a specialized institution (e.g., a credit union, a local bank, a chamber of commerce, a professional office, or a regional financial support organization) acts as a person in charge of supporting third-party succession and provides corporate information of the company to be transferred to the support device 1. This provision is performed, for example, by linking the database of the specialized institution's business system B with the support device 1, and by a procedure that enables the support device 1 to automatically acquire the corporate information stored in the database.

[0180] [Displaying succession scenarios] The user calculates a risk score (R) and a reward score (G) based on the company information, and commands the support device 1 to consider a succession scenario that combines risk reduction measures and reward enhancement measures to increase the transfer decision score (W) based on these. The support device 1 executes the support process described above and displays the succession scenario. The user uses the succession scenario to support the transferor manager's decision-making regarding third-party succession.

[0181] This allows users to support business managers based on scientific and reproducible evidence, without relying on personal experience or intuition. By using the support device 1, the process from the early stages of business succession to decision-making can be visualized, and the formation of a transfer intention can be promoted.

[0182] [Preparation in progress] The user provides the support device 1 with company information that reflects changes in the company's situation during the process of forming a transfer intention, and the information is reflected in the time-series data of the company. The support device 1 calculates a risk score (R), a reward score (G), and a transfer decision-making score (W) based on the time-series data, and displays this time-series data on the user's terminal T. This allows the user to understand the decision-making preparation status of the transferor's management in relation to mitigation measures, reinforcement measures, and other circumstances, and to continuously support the formation of a transfer intention based on this understanding.

[0183] <Additional Notes> It should be noted that within the scope of the concept of the present invention, a person skilled in the art may conceive of various modifications and alterations, and it is understood that these modifications and alterations also fall within the scope of the present invention. For example, even if a person skilled in the art appropriately adds, deletes, or modifies the design of the above-described embodiment, or adds or modifies a process, these modifications are also included within the scope of the present invention, as long as they include the gist of the present invention. [Explanation of symbols]

[0184] S System 1 Support equipment 11 Control section 111 Information Acquisition Department 112 Psychological Barrier Analysis Department 113 Compensation Analysis Department 114 Decision-making and Evaluation Department 115 Protocol Output Section 116 Preparation status display section 13 Storage section 131 Corporate Information Database 132 Score Database 133 Policy Database 14 Communications Department 2 Server B. Business Systems N Network T-Terminal

Claims

1. an information acquisition department that acquires corporate information related to the finances, human resources, business, legal affairs, and management of the target company; a psychological barrier analysis unit that automatically analyzes, based on the company information, a risk score (R) that indicates the magnitude of the psychological barriers that the manager of the transferee company has toward business succession as a real number ranging from 0 to 1; a reward analysis unit that automatically analyzes a reward score (G) that indicates the magnitude of the psychological reward that the manager will receive from the business succession as a real number ranging from 0 to 1 based on the company information; A decision-making evaluation unit that calculates a transfer decision score (W) based on the risk score (R) and the reward score (G) using the formula "W = (1 - R) x (1 + G)"; a protocol output unit that causes the psychological barrier analysis unit to calculate a risk score (R) when one or more mitigation measures are taken, causes the reward analysis unit to calculate a reward score (G) when one or more reinforcement measures are taken, causes the decision-making evaluation unit to calculate a transfer decision-making score (W) based on the risk score (R) when the mitigation measures are taken and the reward score (G) when the reinforcement measures are taken, and extracts and outputs one or more proposed succession scenarios based on the transfer decision-making score (W) for a plurality of succession scenarios consisting of combinations of the mitigation measures and the reinforcement measures; Equipped with The psychological barrier analysis unit calculates, as individual scores constituting the risk score (R), an unnecessary score relating to a lack of awareness of the need for business succession, an unurgent score relating to a lack of awareness of the urgency of business succession, a distrust score relating to distrust of the acquiring company or support organization, and an unsuitable score relating to the recognition that the company or itself is unsuitable for succession, and in this calculation, calculates the individual scores based on information stored in a score database that associates company information with each individual score relating to the corresponding psychological barrier, The compensation analysis unit calculates, as individual scores constituting the compensation score (G), a life score related to post-retirement life stability brought about by business succession, an economic score related to economic rewards brought about by business succession, an employment score related to continued employment of employees, a culture score related to maintaining corporate culture and brand, a customer score related to maintaining customer and business relationships, and a community score related to contribution to the community and maintenance of social trust, and in this calculation, calculates the individual scores based on information stored in the score database that associates company information with each individual score related to corresponding psychological rewards, A device to support the decision-making of the transferring manager regarding third-party succession.

2. The protocol output unit inputting a prompt including an instruction to ask about mitigation measures for the individual scores that make up the risk score (R) into a generation AI, and causing the AI ​​to generate the mitigation measures; inputting a prompt including an instruction to ask for reinforcement measures related to the individual scores that constitute the reward score (G) to a generation AI, and causing the AI ​​to generate the reinforcement measures; For a plurality of succession scenarios consisting of combinations of the mitigation measures and the reinforcement measures, one or more proposed succession scenarios are extracted based on the transfer decision score (W), and a prompt including an instruction to compile the mitigation measures and the reinforcement measures related to the proposed succession scenario into a document to be presented to the transferor manager is input to a generation AI, and the document is generated. The support device according to claim 1 .

3. The support device of claim 1, further comprising a preparation status display unit that displays the preparation status for business succession decision-making, including analysis results of the time series data of the risk score (R), the time series data of the reward score (G), and the time series data of the transfer decision-making score (W), wherein the analysis results include analysis results based on trend analysis and / or analysis results of improvement trends.

4. the information acquisition unit is configured to acquire the company information from a business system of an external specialized institution related to the business succession; The protocol output unit outputs the proposed succession scenario to a terminal of a person in charge of business succession of the transferring manager who belongs to the specialized institution. The support device according to claim 1 .

Images