Organizational philosophy creation support device, organizational philosophy creation support method, organizational philosophy creation support program, and recording medium

Abstract

To provide an organizational philosophy creation support device that can create candidate philosophies suitable for members of an organization.SOLUTION: An organizational philosophy creation support device of the present disclosure includes a constitutional unit characteristic acquisition section, a constitutional unit vector calculation section, an organizational philosophy creation section, and an output section. The constitutional unit characteristic acquisition section acquires, for a constitutional unit constituting an organization, a constitutional unit characteristic category score for each of one or more characteristic categories. The constitutional unit vector calculation section calculates a constitutional unit vector on the basis of the constitutional unit characteristic category score. The organizational philosophy creation section creates candidate philosophy data on the basis of the constitutional unit vector. The output section outputs the candidate philosophy data.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to an organizational philosophy creation support device, an organizational philosophy creation support method, an organizational philosophy creation support program, and a recording medium. [Background technology]

[0002] In order to achieve the overall objectives of an organization such as a company, it is necessary for the organization and the groups and individual members that make up the organization to face the same direction (person-organization fit). For this reason, a management support system based on a management philosophy, vision, etc. is known (Patent Document 1). The management support system of Patent Document 1 arranges and displays item names corresponding to each content for prerequisites including management philosophy, business related matters including business plans, etc., and when one of the arranged item names is selected, the item input display that allows the input of content corresponding to the selection is changed and displayed according to the selection, and when an input is made to a pre-designated designated item among the inputtable contents, or an operation is performed to confirm the input, the display of the arranged item names corresponding to the input or operation is changed so that they can be identified. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2022-014405 Summary of the Invention [Problem to be solved by the invention]

[0004] The management support system of Patent Document 1 is capable of supporting organizational management based on a management philosophy, etc. However, the management support system of Patent Document 1 is unable to consider whether the management philosophy or vision of the organization is suitable for the members that make up the organization. Also, from the perspective of the person who sets the management philosophy (e.g., the manager), there is a problem in that it is difficult to determine whether the set philosophy, etc. is in line with the actual situation of the organization.

[0005] Therefore, an object of the present disclosure is to provide an organizational philosophy generation support device, an organizational philosophy generation support method, an organizational philosophy generation support program, and a recording medium that are capable of generating candidate philosophy suitable for members of an organization. [Means for solving the problem]

[0006] In order to achieve the above object, the organizational philosophy creation support device of the present disclosure includes: The system includes a structural unit characteristic acquisition unit, a structural unit vector calculation unit, an organizational philosophy generation unit, and an output unit, The structural unit characteristic acquisition unit acquires a structural unit characteristic category score for at least one characteristic category for a structural unit constituting an organization, The constituent unit vector calculation unit calculates a constituent unit vector based on the constituent unit characteristic category score, The organizational philosophy generation unit generates candidate philosophy data based on the constituent unit vectors, The output unit outputs the candidate concept data.

[0007] The method for supporting the creation of an organizational philosophy according to the present disclosure includes: The method includes a constituent unit characteristic acquisition step, a constituent unit vector calculation step, an organizational philosophy generation step, and an output step, The structural unit characteristic acquisition step acquires a structural unit characteristic category score for at least one characteristic category for a structural unit constituting an organization, The constituent unit vector calculation step calculates a constituent unit vector based on the constituent unit characteristic category score, The organizational philosophy generating step generates candidate philosophy data based on the constituent unit vectors, The output step outputs the candidate concept data. The method for supporting the creation of an organizational philosophy is implemented by a computer, and each of the steps described above is executed by a computer.

[0008] The organizational philosophy generation support program disclosed herein is The method includes a procedure for acquiring constituent unit characteristics, a procedure for calculating constituent unit vectors, a procedure for generating organizational principles, and an output procedure. The structural unit characteristic acquisition step includes acquiring a structural unit characteristic category score for at least one characteristic category for a structural unit constituting an organization, The constituent unit vector calculation step calculates a constituent unit vector based on the constituent unit characteristic category score, The organizational philosophy generation step generates candidate philosophy data based on the constituent unit vectors; The output step outputs the candidate ideology data. The program is for causing a computer to execute each of the above procedures.

[0009] The recording medium of the present disclosure includes: A computer-readable recording medium having recorded thereon a program for causing a computer to execute each of the above procedures. Effect of the Invention

[0010] According to the present disclosure, candidate philosophies suitable for members of an organization can be generated. [Brief description of the drawings]

[0011] [Figure 1] FIG. 1 is a block diagram showing a configuration of an example of an organizational philosophy creation support device according to the present disclosure. [Diagram 2] FIG. 2 is a block diagram showing an example of a hardware configuration of the organizational philosophy creation support device according to the present disclosure. [Diagram 3] FIG. 3 is a flowchart showing an example of a process in the organizational philosophy generation assistance device of the present disclosure. [Figure 4] FIG. 4 is a schematic diagram showing an example of a method for generating a representation matrix. [Diagram 5] FIG. 5 is a schematic diagram showing an example of a method for generating a purpose evaluation matrix and a psychological characteristic matrix. [Figure 6] FIG. 6 is a schematic diagram showing an example of a method for generating an interpretation matrix. [Figure 7] FIG. 7 is a block diagram showing a configuration of an example of an organizational philosophy generation support device according to the present disclosure. [Figure 8] FIG. 8 is a flowchart showing an example of a process in the organizational philosophy generation assistance device of the present disclosure. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Next, an embodiment of the present disclosure will be described with reference to the drawings. The present disclosure is not limited to the following embodiment. In each of the following drawings, the same parts are given the same reference numerals. In addition, the description of each embodiment can be mutually incorporated unless otherwise specified, and the configurations of each embodiment can be combined unless otherwise specified.

[0013] In this disclosure, an "organization" is an aggregate consisting of multiple constituent units, such as a company, a government office, a school, a sports team, a nonprofit organization (NPO), a non-governmental organization (NGO), and other groups. A "constituent unit" is a unit that constitutes an organization, such as multiple groups that constitute the organization, or multiple individuals (also called members) that constitute the organization, and a "group" is composed of multiple individuals. When the organization is a "company," examples of the "group" include a branch office, a head office, a department (e.g., sales, general affairs, production management, development, etc.), a project team, a store, a sales office, etc., and an "individual" is, for example, an employee, a contract employee, etc.

[0014] In the present disclosure, the "organizational philosophy" is information including concepts such as the values, objectives, beliefs, raison d'être, and / or ways of thinking of the organization. The organizational philosophy may be, for example, a corporate philosophy, a management philosophy, a mission, a vision, values, a credo, a purpose, etc.

[0015] [Embodiment 1] The organizational philosophy generation support device of this embodiment will be described with reference to Fig. 1. Fig. 1 is a block diagram showing the configuration of an example of an organizational philosophy generation support device 10 of this embodiment. As shown in Fig. 1, the organizational philosophy generation support device 10 (hereinafter also referred to as "the device 10") includes a constituent unit characteristic acquisition unit 11, a constituent unit vector calculation unit 12, an organizational philosophy generation unit 13, and an output unit 14. Although not shown, the device 10 may also include, for example, a storage unit.

[0016] The device 10 may be, for example, a single device including each of the above-mentioned units, or a device to which each of the above-mentioned units can be connected via a communication line network. The device 10 may be connected to an external device described later via a communication line network. The communication line network is not particularly limited, and a known network may be used, for example, wired or wireless. Examples of the communication line network include an Internet line, a World Wide Web (WWW), a telephone line, a Local Area Network (LAN), a Storage Area Network (SAN), a Delay Tolerant Networking (DTN), a Low Power Wide Area (LPWA), and a Local 5G (L5G). Examples of wireless communication include Wi-Fi (registered trademark), Bluetooth (registered trademark), a Local 5G, and a LPWA. Examples of the wireless communication may include a form in which each device directly communicates with each other (Ad Hoc communication), an infrastructure (infrastructure communication), and an indirect communication via an access point. The device 10 may be incorporated into a server as a system, for example. The device 10 may be, for example, a personal computer (PC, for example, desktop type or notebook type) on which the program of the present disclosure is installed, a smartphone, a tablet terminal, etc. Furthermore, the device 10 may be in the form of cloud computing or edge computing, for example, in which at least one of the units is on a server and the other units are on a terminal.

[0017] 2 illustrates a block diagram of a hardware configuration of the present device 10. The present device 10 includes, for example, a central processing unit (CPU, GPU, etc.) 101, a memory 102, a bus 103, a storage device 104, an input device 105, an output device 106, a communication device 107, etc. Each part of the present device 10 is connected to each other via the bus 103 by each interface (I / F).

[0018] The central processing unit 101 cooperates with other components through a controller (such as a system controller or an I / O controller) and controls the entire device 10. In the device 10, the central processing unit 101 executes, for example, the program disclosed herein and other programs, and also reads and writes various information. Specifically, for example, the central processing unit 101 functions as a constituent unit characteristic acquisition unit 11, a constituent unit vector calculation unit 12, an organizational philosophy generation unit 13, and an output unit 14 in the organizational philosophy generation support device 10 (hereinafter, also referred to as the device 10). The device 10 may include other computing devices such as a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an APU (Accelerated Processing Unit), or a combination of these as a computing device.

[0019] The bus 103 can also be connected to, for example, an external device. Examples of the external device include an external storage device (external database, etc.), a printer, an external input device, an external display device, an audio output device such as a speaker, an external imaging device such as a camera, and various sensors such as an acceleration sensor, a geomagnetic sensor, and a direction sensor. The device 10 can be connected to an external network (the communication line network) by, for example, a communication device 107 connected to the bus 103, and can also be connected to other devices such as a user's terminal via the external network.

[0020] An example of the memory 102 is a main memory (primary storage device). When the central processing unit 101 performs processing, the memory 102 reads various operation programs, such as the program of the present disclosure, stored in the storage device 104 described below, and the central processing unit 101 receives data from the memory 102 and executes the program. The main memory is, for example, a RAM (random access memory). The memory 102 may also be, for example, a ROM (read only memory).

[0021] The storage device 104 is also called an auxiliary storage device, for example, in contrast to the main memory (primary storage device). As described above, the storage device 104 stores an operating program including the program of the present disclosure. The storage device 104 may be, for example, a combination of a recording medium and a drive for reading and writing data from and to the recording medium. The recording medium is not particularly limited, and may be, for example, an internal or external type, such as a HD (hard disk), a CD-ROM, a CD-R, a CD-RW, an MO, a DVD, a flash memory, a memory card, and the like. The storage device 104 may be, for example, a hard disk drive (HDD) in which a recording medium and a drive are integrated, and a solid state drive (SSD). When the device 10 includes the storage unit, for example, the storage device 104 functions as the storage unit. The storage unit may store, for example, at least one selected from the group consisting of organizational philosophy data, expression dimension encoder, expression dimension decoder, interpretation matrix, expression matrix, characteristic category matrix, empathy matrix, general dimension vector, characteristic category, philosophy characteristic category score, constituent unit characteristic category score, constituent unit vector, compatibility score, and candidate philosophy data.

[0022] In the present device 10, the memory 102 and the storage device 104 can also store various information such as log information, information acquired from an external database (not shown) or an external device, information generated by the present device 10, and information used when the present device 10 executes processing. In this case, the memory 102 and the storage device 104 may store, for example, the above-mentioned information on the user of the present device. Note that at least a portion of the information may be stored, for example, in an external server other than the memory 102 and the storage device 104, or may be distributed and stored in multiple terminals using block chain technology or the like.

[0023] The device 10 further includes, for example, an input device 105 and an output device 106. The input device 105 may be, for example, a pointing device such as a touch panel, a track pad, or a mouse; a keyboard; an imaging means such as a camera or a scanner; a card reader such as an IC card reader or a magnetic card reader; or an audio input means such as a microphone. The output device 106 may be, for example, a display device such as an LED display or a liquid crystal display; an audio output device such as a speaker; a printer; or the like. In this embodiment, the input device 105 and the output device 106 are configured separately, but the input device 105 and the output device 106 may be configured as an integrated device, such as a touch panel display.

[0024] Next, an example of the organizational philosophy generation support method of this embodiment will be described based on the flowchart of Fig. 3. The organizational philosophy generation support method of this embodiment can be implemented as follows, for example, using the organizational philosophy generation support device 10 shown in Fig. 1 or Fig. 2. Note that the organizational philosophy generation support method of this embodiment is not limited to the use of the organizational philosophy generation support device 10 of Fig. 1 or Fig. 2. Fig. 3 is a flowchart showing an example of processing by the organizational philosophy generation support device 10.

[0025] The constituent unit characteristic acquisition unit 11 acquires a constituent unit characteristic category score for at least one characteristic category for the constituent units constituting the organization (S1, constituent unit characteristic acquisition step). The constituent unit characteristic category score is, for example, information on the evaluation value for each characteristic category in the constituent unit of the organization. The characteristic category is, for example, an item that indicates a type of value. The characteristic category is not particularly limited, and for example, any item can be set. Specific examples of the characteristic categories include, for example, six types of value orientation scales based on psychologist Spranger's value typology, that is, theoretical type, economic type, aesthetic type, religious type, power type, and social type. The constituent unit characteristic acquisition unit 11 can acquire information such as a questionnaire conducted on members of the organization and analyze the questionnaire results to acquire the constituent unit characteristic category score. The questionnaire is not particularly limited, and for example, a known questionnaire (survey) for confirming psychological characteristics of the constituent units can be used. In addition, the constituent unit characteristic acquisition unit 11 may acquire, for example, a constituent unit characteristic category score that is arbitrarily set for each characteristic category for each constituent unit. For example, when the organization has a plurality of constituent units, the constituent unit characteristic acquisition unit 11 may acquire the constituent unit category score of each constituent unit individually, or may acquire the average value of the constituent unit category scores of each constituent unit as the constituent unit characteristic category score of the members of the organization. The constituent unit characteristic acquisition unit 11 may store the constituent unit characteristic data in the memory 102 or the storage device 104, for example.

[0026] The constituent unit vector calculation unit 12 calculates the constituent unit vectors based on the constituent unit characteristic category scores (S2, constituent unit vector calculation step). The constituent unit vector calculation unit 12 can calculate the constituent unit vectors, for example, by generating a matrix having identification information of each constituent unit in rows and characteristic categories (psychological characteristics) of each constituent unit in columns. The constituent unit vector calculation unit 12 may also calculate a representation vector, for example, based on the constituent unit vectors and an interpretation matrix. A calculation method for the interpretation matrix will be described later. Specifically, the constituent unit vector calculation unit 12 can calculate the representation vector by solving a linear equation (y=Dz) where y is the constituent unit vector, an interpretation matrix D, and z is the representation vector, and calculating z. The method for solving the linear equation is not particularly limited, and for example, a solution may be calculated using known linear equation solving software (for example, LAPACK), or a solution may be calculated by other methods. As a specific example of the other methods, for example, a Moore-Penrose pseudoinverse matrix (D T (DD T ) -1 ), a method of calculating the inverse matrix (equation (2) below) from the singular value decomposition of the interpretation matrix D (equation (1) below), and a method of using an optimization problem (mathematical programming problem) to minimize equation (3) below.

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[0027] A specific example of a method for calculating an interpretation matrix will be described with reference to FIGS. 4 to 6, however, the following description is merely an example, and the present disclosure is not limited thereto.

[0028] First, as shown in FIG. 4, a database (idea DB) is created that accumulates publicly available public idea data. The idea DB is also called a purpose DB, for example. Then, the public idea data is converted into a general dimension vector using BERT, and the general dimension vector is trained by a VAE to generate the representation dimension encoder (E) and the representation dimension decoder (D). Next, at least one sample idea (also called a purpose) S (S0, S1, S2...S k (k is an integer equal to or greater than 1)) and converts the extracted sample ideals S into a general dimension vector using BERT. The sample ideals S are text data such as "Anytime, anywhere, to anyone," "We want to create a society that generates new vitality," and "To make people's hearts rich and vibrant." Then, using a representation dimension encoder (E), a representation matrix C (C = {C km}) is created. The device 10 may store the created expression matrix C in the storage unit. The storage unit that stores the expression matrix C is also called, for example, an expression database (expression DB).

[0029] Next, as shown in FIG. 5, for each sample concept S, the evaluation respondents P (P0, P1, P2...P L (L is an integer equal to or greater than 1)) and collected as an ideal empathy evaluation survey. Then, the presence or absence of empathy of each respondent P with sample ideal S is expressed as numerical data (for example, 1 if empathy, 0 if no empathy), and ideal evaluation matrix B (B = {B lk}) is generated. The device 10 may store the created philosophy evaluation matrix B in the storage unit. The storage unit storing philosophy evaluation matrix B is also called, for example, an empathy database (empathy DB). Next, the characteristic category (value orientation scale) of each of the evaluation respondents P is acquired as a psychological characteristic survey. Then, the identification information of each evaluation respondent P is stored in a row, and the characteristic category (psychological characteristic) A (A0, A1, A2...A N (N is an integer equal to or greater than 1)) as columns of a psychological trait matrix A (A={A ln}). The device 10 may acquire the idea evaluation matrix B and the psychological characteristic matrix A generated outside the device 10, for example. The device 10 may store the created psychological characteristic matrix A in the storage unit. The storage unit that stores the psychological characteristic matrix A is also called, for example, a psychological characteristic database (psychological characteristic DB).

[0030] Then, as shown in FIG. 6, the psychological characteristic matrix A is transposed, and the matrix product AB of the empathy matrix B and the transposed psychological characteristic matrix A is calculated. Next, by calculating the matrix product of the expression matrix C and the matrix product AB, an interpretation matrix D (D=A T BC={d nm}) can be calculated. The device 10 may store the created interpretation matrix D in the storage unit. The storage unit that stores the psychological characteristic matrix A is also called, for example, an interpretation database (interpretation DB).

[0031] The organizational philosophy generating unit 13 generates candidate philosophy data based on the constituent unit vectors (S3, organizational philosophy generating step). The candidate philosophy data is, for example, information on sentences that are candidates for organizational philosophies suitable for members of the organization. The organizational philosophy generating unit 13 can generate the candidate philosophy data by, for example, decoding the expression vectors using an expression dimension decoder. The expression dimension decoder is, for example, a generative model that inputs the constituent unit vectors and outputs a natural language vector with an increased number of dimensions. A method for generating the expression dimension decoder will be described later. The organizational philosophy generating unit 13 may generate the candidate philosophy data by, for example, generating a natural language vector by decoding the expression vector using an expression dimension decoder, and performing natural language processing on the natural language vector. For the natural language processing, for example, a known method for generating sentences from a vector can be used. Specific examples of the natural language processing include RNN (Recurrent Neural Network), LSTM (Long short-term memory), GRU (Gated Recurrent Unit), Seq2Seq (Sequence to Sequence), Attention Mechanism, Transformer, BERT (Bidirectional Encoder Representations from Transformers), GPT (Generative Pretrained Transformer), VAE (Variational Autoencoder), GAN (Generative Adversarial Network), etc. The organizational philosophy generation unit 13 can generate the candidate philosophy data by inputting the candidate unit vector (representation vector) or the decoded natural language vector into a natural language processing model such as BERT, for example.

[0032] The representation dimension decoder can be generated by using, for example, an autoencoder (AE) or a variational autoencoder (VAE). The autoencoder and the variational autoencoder are, for example, unsupervised trained models using a neural network, and are configured to reproduce information arranged in the input layer with a smaller number of dimensions by making the number of neurons in the intermediate layer less than the number of dimensions in the input layer. Specifically, for example, a general dimension vector calculated from published text data is input to the AE or VAE, and end-to-end learning is performed so that the general dimension vector is dimensionally compressed (encoding process) from the input layer to the intermediate layer (encoder), and the latent variable z is restored to the original general dimension vector (decoding process) from the intermediate layer to the output layer (decoder). As a result, the input layer to the intermediate layer (encoder) can be used as a representation dimension encoder that outputs a feature vector with a reduced number of dimensions by inputting a general dimension vector. Also, the intermediate layer to the output layer (decoder) can be used as a representation dimension decoder that outputs the original general dimension vector by inputting a feature vector with a reduced number of dimensions.

[0033] The output unit 14 outputs the candidate concept data (S4, output step). The output unit 14 may output the candidate concept data to, for example, an output device (e.g., a display) 106 of the device 10, or may output the candidate concept data to the outside of the device 10 via a communication device 107 connected to the bus 103.

[0034] In the organizational philosophy generation support device of this embodiment, the constituent unit vector calculation unit can calculate a constituent unit vector based on the constituent unit characteristic category score acquired by the constituent unit characteristic acquisition unit. In addition, the organizational philosophy generation unit can generate candidate philosophy data based on the constituent unit vector. Since the candidate philosophy data is generated based on the constituent unit characteristic category scores of the constituent units of the organization, it is expected that the candidate philosophy is more suitable for the constituent units. Therefore, according to the organizational philosophy generation support device of this embodiment, it is possible to generate an organizational philosophy that is more easily permeated into the constituent units of the organization, and it is possible to support the compatibility of the objectives of the organization and its members (Person-Organization Fit).

[0035] [Embodiment 2] The second embodiment is another example of the organizational philosophy penetration device of the present disclosure.

[0036] FIG. 7 is a block diagram showing an example of the configuration of the organizational philosophy permeation device 10A. As shown in FIG. 7, the organizational philosophy permeation device 10A includes an ideology vector calculation unit 15 and a compatibility score calculation unit 16 in addition to the configuration of the organizational philosophy permeation device 10 of the first embodiment. The hardware configuration of the organizational philosophy permeation device 10A is the same as that of the organizational philosophy permeation device 10 of FIG. 2, except that the central processing unit 101 has the configuration of the organizational philosophy permeation device 10A of FIG. 7 instead of the configuration of the organizational philosophy permeation device 10 of FIG. 1. The processing of the ideology vector calculation unit 15 and the compatibility score calculation unit 16 will be described below. The processing of the ideology vector calculation unit 15 and the compatibility score calculation unit 16 may be inserted at any position in the flowchart of FIG. 3 described in the first embodiment, or may be executed independently of each step of the flowchart of FIG. 3 as shown in FIG. 8.

[0037] The concept vector calculation unit 15 calculates a candidate concept vector based on the candidate concept data (S11, concept vector calculation process). The concept vector calculation unit 15 can calculate the candidate concept vector using a known method for converting text data into a sentence vector, for example. The known method is not particularly limited, and any method can be adopted. The concept vector calculation unit 15 may calculate the candidate concept vector by applying a method using Bag of Words as the natural language processing for the text data included in the candidate concept data, or may calculate the candidate concept vector by applying a method using distributed representation. Examples of the method using Bag of Words include TF-IDF (Term Frequency - Inverse Document Frequency), LSI (Latent Semantic Indexing), LDA (Latent Dirichlet Allocation), etc. Examples of the method using distributed representation include Word2Vec, doc2vec, Retrofitting, Glove, BERT (Bidirectional Encoder Representations from Transformers), etc. As a specific example, the concept vector calculation unit 15 can calculate a candidate concept vector based on the candidate concept data by inputting text data included in the candidate concept data into a vector generation model of BERT.

[0038] The compatibility score calculation unit 16 calculates the compatibility score between the candidate concept data and the constituent unit based on the candidate concept vector and the constituent unit vector (S13, compatibility score calculation step). Specifically, the compatibility score calculation unit 16 can calculate, for example, the cosine similarity (cosine interior angle) between the candidate concept vector and the constituent unit vector, and calculate the cosine interior angle as the compatibility score. Note that the compatibility score is not limited to the cosine similarity, and can be calculated, for example, as the chi-squared value X 2In this case, the compatibility score calculation unit 16 can calculate the compatibility score by using, for example, the following formula 4.

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[0039] The output unit 14 outputs the compatibility score (S13, output step). The output unit 14 may output the compatibility score to, for example, an output device (e.g., a display) 106 of the present device 10, or may output the compatibility score to the outside of the present device 10 via a communication device 107 connected to the bus 103.

[0040] The organizational philosophy generation support device of this embodiment can calculate a constituent unit vector based on the constituent unit characteristic category score acquired by the constituent unit characteristic acquisition unit by the constituent unit vector calculation unit. Also, the compatibility score calculation unit can calculate the compatibility score between the candidate philosophy data and the constituent unit based on the candidate philosophy vector and the constituent unit vector. Therefore, according to the organizational philosophy generation support device of this embodiment, the compatibility between the candidate philosophy and the constituent unit of the organization can be objectively evaluated.

[0041] [Embodiment 4] The organizational philosophy generation support program of this embodiment is a program for making a computer execute each step of the organizational philosophy generation support method described above. Specifically, the organizational philosophy generation support program of this embodiment is a program for making a computer execute a constituent unit characteristic acquisition procedure, a constituent unit vector calculation procedure, an organizational philosophy generation procedure, and an output procedure.

[0042] The structural unit characteristic acquisition step includes acquiring a structural unit characteristic category score for at least one characteristic category for a structural unit constituting an organization, The constituent unit vector calculation step calculates a constituent unit vector based on the constituent unit characteristic category score, The organizational philosophy generation step generates candidate philosophy data based on the constituent unit vectors; The output step outputs the candidate concept data.

[0043] The organizational philosophy generation support program of the present embodiment can also be said to be a program that causes a computer to function as a constituent unit characteristic acquisition procedure, a constituent unit vector calculation procedure, an organizational philosophy generation procedure, and an output procedure.

[0044] The organizational philosophy generation support program of this embodiment can be implemented by using the description of the organizational philosophy generation support device and the organizational philosophy generation support method of the present disclosure. In each of the steps, for example, the "step" can be replaced with "processing". In addition, the organizational philosophy generation support program of this embodiment may be recorded, for example, in a computer-readable recording medium. The recording medium is, for example, a non-transitory computer-readable storage medium. The recording medium is not particularly limited, and examples thereof include random access memory (RAM), read-only memory (ROM), hard disk (HD), flash memory (for example, SSD (Solid State Drive), USB flash memory, SD / SDHC card, etc.), optical disk (for example, CD-R / CD-RW, DVD-R / DVD-RW, BD-R / BD-RE, etc.), magneto-optical disk (MO), floppy (registered trademark) disk (FD), etc. In addition, the organizational philosophy generation support program of this embodiment (for example, also referred to as a programming product or an organizational philosophy generation support program product) may be, for example, in a form distributed from an external computer. The "distribution" may be, for example, distribution via a communication line network or distribution via a device connected by a wire. The organizational philosophy creation support program of the present embodiment may be installed and executed in the device to which it is distributed, or may be executed without being installed.

[0045] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-mentioned embodiments. Various modifications that can be understood by a person skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be appropriately combined with other embodiments.

[0046] <Additional Notes> Some or all of the above embodiments may be described as follows, but are not limited to the following: (Appendix 1) The system includes a structural unit characteristic acquisition unit, a structural unit vector calculation unit, an organizational philosophy generation unit, and an output unit, The structural unit characteristic acquisition unit acquires a structural unit characteristic category score for at least one characteristic category for a structural unit constituting an organization, The constituent unit vector calculation unit calculates a constituent unit vector based on the constituent unit characteristic category score, The organizational philosophy generation unit generates candidate philosophy data based on the constituent unit vectors, The output unit outputs the candidate philosophy data. (Appendix 2) The constituent unit vector calculation unit is Calculating an expression vector based on the constituent unit vector and an interpretation matrix; The interpretation matrix is ​​a matrix having rows representing at least one of the characteristic categories and columns representing at least one representation dimension, The organizational philosophy generation support device according to claim 1, wherein the organizational philosophy generation unit generates the candidate philosophy data by decoding the expression vector using an expression dimension decoder. (Appendix 3) The organizational philosophy generation unit generates a natural language vector by decoding the expression vector using the expression dimension decoder, and generates the candidate philosophy data by natural language processing the natural language vector. (Appendix 4) The present invention includes a concept vector calculation unit and a compatibility score calculation unit, The ideal vector calculation unit calculates a candidate ideal vector based on the candidate ideal data, The compatibility score calculation unit calculates a compatibility score between the candidate concept data and the constituent unit based on the candidate concept vector and the constituent unit vector, The organizational philosophy generation support device according to any one of claims 1 to 3, wherein the output unit outputs the compatibility score. (Appendix 5) The organizational philosophy generation support device according to claim 4, wherein the philosophy vector calculation unit reduces the number of dimensions of the candidate philosophy vector using an expression dimension encoder. (Appendix 6) The method includes a constituent unit characteristic acquisition step, a constituent unit vector calculation step, an organizational philosophy generation step, and an output step, The structural unit characteristic acquisition step acquires a structural unit characteristic category score for at least one characteristic category for a structural unit constituting an organization, The constituent unit vector calculation step calculates a constituent unit vector based on the constituent unit characteristic category score, The organizational philosophy generating step generates candidate philosophy data based on the constituent unit vectors, The output step outputs the candidate concept data. A method for supporting the creation of an organizational philosophy, wherein each of the steps is executed by a computer. (Appendix 7) The constituent unit vector calculation step includes: Calculating an expression vector based on the constituent unit vector and an interpretation matrix; The interpretation matrix is ​​a matrix having rows representing at least one of the characteristic categories and columns representing at least one representation dimension, The organizational philosophy generation support method according to claim 6, wherein the organizational philosophy generation step generates the candidate philosophy data by decoding the expression vector using a expression dimension decoder. (Appendix 8) The organizational philosophy generation support method described in Appendix 7, wherein the organizational philosophy generation process generates a natural language vector by decoding the expression vector using the expression dimension decoder, and generates the candidate philosophy data by natural language processing the natural language vector. (Appendix 9) The method includes a concept vector calculation step and a compatibility score calculation step, The ideal vector calculation step calculates a candidate ideal vector based on the candidate ideal data, The compatibility score calculation step calculates a compatibility score between the candidate concept data and the constituent unit based on the candidate concept vector and the constituent unit vector; The method for supporting the generation of organizational philosophy described in any one of appendices 6 to 8, wherein the output step outputs the compatibility score. (Appendix 10) The organizational philosophy generation support method according to claim 9, wherein the philosophy vector calculation step reduces the number of dimensions of the candidate philosophy vector using a representation dimension encoder. (Appendix 11) The method includes a procedure for acquiring constituent unit characteristics, a procedure for calculating constituent unit vectors, a procedure for generating organizational principles, and an output procedure. The structural unit characteristic acquisition step includes acquiring a structural unit characteristic category score for at least one characteristic category for a structural unit constituting an organization, The constituent unit vector calculation step calculates a constituent unit vector based on the constituent unit characteristic category score, The organizational philosophy generation step generates candidate philosophy data based on the constituent unit vectors; The output step outputs the candidate ideology data. An organizational philosophy generation support program for causing a computer to execute each of the above steps. (Appendix 12) The constituent unit vector calculation procedure is Calculating an expression vector based on the constituent unit vector and an interpretation matrix; The interpretation matrix is ​​a matrix having rows representing at least one of the characteristic categories and columns representing at least one representation dimension, The organizational philosophy generation support program according to claim 11, wherein the organizational philosophy generation procedure generates the candidate philosophy data by decoding the expression vector using an expression dimension decoder. (Appendix 13) The organizational philosophy generation support program described in Appendix 12, wherein the organizational philosophy generation procedure generates a natural language vector by decoding the expression vector using the expression dimension decoder, and generates the candidate philosophy data by natural language processing the natural language vector. (Appendix 14) A concept vector calculation procedure and a compatibility score calculation procedure are included; The ideal vector calculation step calculates a candidate ideal vector based on the candidate ideal data; The compatibility score calculation step calculates a compatibility score between the candidate concept data and the constituent unit based on the candidate concept vector and the constituent unit vector; 14. The organizational philosophy generation support program according to any one of appendices 11 to 13, wherein the output step outputs the compatibility score. (Appendix 15) The organizational philosophy generation support program described in Appendix 14, wherein the philosophy vector calculation step reduces the number of dimensions of the candidate philosophy vector using a representation dimension encoder. (Appendix 16) The method includes a procedure for acquiring constituent unit characteristics, a procedure for calculating constituent unit vectors, a procedure for generating organizational principles, and an output procedure. The structural unit characteristic acquisition step includes acquiring a structural unit characteristic category score for at least one characteristic category for a structural unit constituting an organization, The constituent unit vector calculation step calculates a constituent unit vector based on the constituent unit characteristic category score, The organizational philosophy generation step generates candidate philosophy data based on the constituent unit vectors; The output step outputs the candidate ideology data. A computer-readable recording medium having recorded thereon an organizational philosophy generation support program for causing a computer to execute each of the above steps. (Appendix 17) The constituent unit vector calculation procedure is Calculating an expression vector based on the constituent unit vector and an interpretation matrix; The interpretation matrix is ​​a matrix having rows representing at least one of the characteristic categories and columns representing at least one representation dimension, 17. The recording medium of claim 16, wherein the organizational philosophy generating step generates the candidate philosophy data by decoding the representation vector using a representation dimension decoder. (Appendix 18) The recording medium described in Appendix 17, wherein the organizational philosophy generation procedure generates a natural language vector by decoding the expression vector using the expression dimension decoder, and generates the candidate philosophy data by natural language processing the natural language vector. (Appendix 19) A concept vector calculation procedure and a compatibility score calculation procedure are included; The ideal vector calculation step calculates a candidate ideal vector based on the candidate ideal data; The compatibility score calculation step calculates a compatibility score between the candidate concept data and the constituent unit based on the candidate concept vector and the constituent unit vector; 19. The recording medium according to any one of appendices 16 to 18, wherein the output step outputs the compatibility score. (Appendix 20) 20. The recording medium of claim 19, wherein the ideal vector calculation step reduces the number of dimensions of the candidate ideal vectors using a representation dimension encoder. [Industrial Applicability]

[0047] The organizational philosophy generation support device according to the present disclosure can generate candidate philosophies suitable for members of an organization, for example. Therefore, the present disclosure can be widely used in various business fields, for example. [Explanation of symbols]

[0048] 10 Organizational philosophy generation support device 11. Unit characteristic acquisition section 12. Constituent unit vector calculation section 13 Organizational Philosophy Generation Department 14 Output section 15. Ideal Vector Calculation Section 16 Matching score calculation section 101 CPU 102 Memory 103 Bus 104 Storage device 105 Input Device 106 Output Device 107 Communication Devices

Claims

1. The system includes a structural unit characteristic acquisition unit, a structural unit vector calculation unit, an organizational philosophy generation unit, and an output unit, The structural unit characteristic acquisition unit acquires a structural unit characteristic category score for at least one characteristic category for a structural unit constituting an organization, The constituent unit vector calculation unit calculates a constituent unit vector based on the constituent unit characteristic category score, The organizational philosophy generation unit generates candidate philosophy data based on the constituent unit vectors, The output unit outputs the candidate philosophy data.

2. The constituent unit vector calculation unit is Calculating an expression vector based on the constituent unit vector and an interpretation matrix; The interpretation matrix is ​​a matrix having rows representing at least one of the characteristic categories and columns representing at least one representation dimension, 2. The organizational philosophy generation support device according to claim 1, wherein the organizational philosophy generation unit generates the candidate philosophy data by decoding the expression vector using an expression dimension decoder.

3. The organizational philosophy generation support device according to claim 2, wherein the organizational philosophy generation unit generates a natural language vector by decoding the expression vector using the expression dimension decoder, and generates the candidate philosophy data by performing natural language processing on the natural language vector.

4. The present invention includes a concept vector calculation unit and a compatibility score calculation unit, The ideal vector calculation unit calculates a candidate ideal vector based on the candidate ideal data, The compatibility score calculation unit calculates a compatibility score between the candidate concept data and the constituent unit based on the candidate concept vector and the constituent unit vector, The organizational philosophy generation assistance device according to claim 1 , wherein the output unit outputs the compatibility score.

5. 5. The organizational philosophy generation support device according to claim 4, wherein the philosophy vector calculation unit reduces the number of dimensions of the candidate philosophy vector using an expression dimension encoder.

6. The method includes a constituent unit characteristic acquisition step, a constituent unit vector calculation step, an organizational philosophy generation step, and an output step, The structural unit characteristic acquisition step acquires a structural unit characteristic category score for at least one characteristic category for a structural unit constituting an organization, The constituent unit vector calculation step calculates a constituent unit vector based on the constituent unit characteristic category score, The organizational philosophy generating step generates candidate philosophy data based on the constituent unit vectors, The output step outputs the candidate concept data. A method for supporting the creation of an organizational philosophy, wherein each of the steps is executed by a computer.

7. The constituent unit vector calculation step includes: Calculating an expression vector based on the constituent unit vector and an interpretation matrix; The interpretation matrix is ​​a matrix having rows representing at least one of the characteristic categories and columns representing at least one representation dimension, 7. The method for supporting generation of an organizational philosophy according to claim 6, wherein said organizational philosophy generation step generates said candidate philosophy data by decoding said expression vectors using an expression dimension decoder.

8. 8. The organizational philosophy generation support method according to claim 7, wherein the organizational philosophy generation step generates a natural language vector by decoding the expression vector using the expression dimension decoder, and generates the candidate philosophy data by natural language processing the natural language vector.

9. The method includes a procedure for acquiring constituent unit characteristics, a procedure for calculating constituent unit vectors, a procedure for generating organizational principles, and an output procedure. The structural unit characteristic acquisition step includes acquiring a structural unit characteristic category score for at least one characteristic category for a structural unit constituting an organization, The constituent unit vector calculation step calculates a constituent unit vector based on the constituent unit characteristic category score, The organizational philosophy generation step generates candidate philosophy data based on the constituent unit vectors; The output step outputs the candidate ideology data. An organizational philosophy generation support program for causing a computer to execute each of the above steps.

10. The method includes a procedure for acquiring constituent unit characteristics, a procedure for calculating constituent unit vectors, a procedure for generating organizational principles, and an output procedure. The structural unit characteristic acquisition step includes acquiring a structural unit characteristic category score for at least one characteristic category for a structural unit constituting an organization, The constituent unit vector calculation step calculates a constituent unit vector based on the constituent unit characteristic category score, The organizational philosophy generation step generates candidate philosophy data based on the constituent unit vectors; The output step outputs the candidate ideology data. A computer-readable recording medium having recorded thereon an organizational philosophy generation support program for causing a computer to execute each of the above steps.

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