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

Abstract

To provide an organizational philosophy infiltration support device that can quantitatively evaluate an organizational philosophy.SOLUTION: An organizational philosophy infiltration support device of the present disclosure includes an organizational philosophy acquisition section, a philosophy vector calculation section, a category score estimation section, and an output section. The organizational philosophy acquisition section acquires organizational philosophy data. The philosophy vector calculation section calculates a philosophy vector on the basis of the organizational philosophy data. The category score estimation section estimates a philosophy characteristic category score for each of one or more characteristic categories on the basis of the philosophy vector. The output section outputs the philosophy characteristic category score.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to an organizational philosophy penetration support device, an organizational philosophy penetration support method, an organizational philosophy penetration 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-specified 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 penetration support device, an organizational philosophy penetration support method, an organizational philosophy penetration support program, and a recording medium that enable an organizational philosophy to be objectively evaluated. [Means for solving the problem]

[0006] In order to achieve the above object, the organizational philosophy penetration support device of the present disclosure includes: The system includes an organizational philosophy acquisition unit, a philosophy vector calculation unit, a category score estimation unit, and an output unit, The organizational philosophy acquisition unit acquires organizational philosophy data, The philosophy vector calculation unit calculates a philosophy vector based on the organizational philosophy data, The category score estimation unit estimates an idea characteristic category score for at least one characteristic category based on the idea vector, The output unit outputs the idea characteristic category score.

[0007] The organizational philosophy penetration support method disclosed herein includes: The method includes an organizational philosophy acquisition step, a philosophy vector calculation step, a category score estimation step, and an output step, The organizational philosophy acquisition step acquires organizational philosophy data, The philosophy vector calculation step calculates a philosophy vector based on the organizational philosophy data, The category score estimation step estimates an idea characteristic category score for at least one characteristic category based on the idea vector, The output step outputs the philosophy characteristic category scores. The method for supporting the penetration of organizational ideals is implemented by a computer, and each of the steps is executed by a computer.

[0008] The organizational philosophy penetration support program disclosed in this disclosure is The method includes an organizational philosophy acquisition procedure, a philosophy vector calculation procedure, a category score estimation procedure, and an output procedure. The organizational philosophy acquisition step acquires organizational philosophy data, The philosophy vector calculation step calculates a philosophy vector based on the organizational philosophy data, The category score estimation step estimates an idea characteristic category score for at least one characteristic category based on the idea vector; The output step outputs the philosophy characteristic category scores. 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, organizational philosophies can be objectively evaluated. [Brief description of the drawings]

[0011] [Figure 1] FIG. 1 is a block diagram showing a configuration of an example of an organizational philosophy penetration 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 penetration support device according to the present disclosure. [Diagram 3] FIG. 3 is a flowchart showing an example of a process in the organizational philosophy penetration 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 penetration support device according to the present disclosure. [Figure 8] FIG. 8 is a flowchart showing an example of the process in the organizational philosophy penetration assistance device of the present disclosure. [Figure 9] FIG. 9 is a block diagram showing a configuration of an example of an organizational philosophy penetration support device according to the present disclosure. [Figure 10] FIG. 10 is a flowchart showing an example of processing in the organizational philosophy penetration 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 penetration 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 penetration support device 10 of this embodiment. As shown in Fig. 1, the organizational philosophy penetration support device 10 (hereinafter also referred to as "the device 10") includes an organizational philosophy acquisition unit 11, an ideal vector calculation unit 12, a category score estimation 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 an organizational philosophy penetration support device 10 (hereinafter also referred to as the device 10) as an organizational philosophy acquisition unit 11, a philosophy vector calculation unit 12, a category score estimation unit 13, and an output unit 14. The device 10 may include other calculation units such as a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an APU (Accelerated Processing Unit), or a combination of these as a calculation unit.

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

[0025] The organizational philosophy acquisition unit 11 acquires organizational philosophy data (S1, organizational philosophy acquisition step). The organizational philosophy data is, for example, information indicating the organizational philosophy of the organization. The organization and the organizational philosophy are, for example, as described above. The format of the organizational philosophy data may be, for example, text information or voice information. When the organizational philosophy data includes text information, for example, an input by the input device 105 (for example, a touch panel, a keyboard, etc.) of the device 10 can be acquired. When the organizational philosophy data includes voice information, for example, a voice by the user can be acquired by the input device 105 (for example, a microphone) of the device 10. In this case, the device 10 may, for example, control the microphone to an input standby state and wait for the input of organizational philosophy data by the user. Then, the organizational philosophy acquisition unit 11 can, for example, acquire the user's voice input to the microphone in the input standby state as the organizational philosophy data. When the organizational philosophy data is voice information, it is preferable that the organizational philosophy acquisition unit 11 converts the acquired voice information into text information, for example. The organizational philosophy acquisition unit 11 may store the organizational philosophy data in the memory 102 or the storage device 104, for example.

[0026] Next, the ideological vector calculation unit 12 calculates the ideological vector based on the organizational philosophy data (S2, ideological vector calculation process). The ideological vector calculation unit 12 can calculate the ideological vector using, for example, a known method of converting text data into a sentence vector. The known method is not particularly limited, and any method can be adopted. The ideological vector calculation unit 12 may calculate the ideological vector by applying, for example, a method using Bag of Words as the natural language processing for the text data included in the organizational philosophy data, or may calculate the ideological 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 philosophy vector calculation unit 12 can calculate a philosophy vector based on the organizational philosophy data by inputting text data included in the organizational philosophy data into a vector generation model of BERT.

[0027] In addition, the ideal vector calculation unit 12 may reduce the number of dimensions of the ideal vector using, for example, a representation dimension encoder. By the ideal vector calculation unit 12 reducing the number of dimensions of the ideal vector using a representation dimension encoder, for example, effects such as improved readability, reduced load, and improved processing speed when processing the ideal vector can be expected. The representation dimension encoder is, for example, a generative model that outputs a vector with a reduced number of dimensions when the ideal vector is input. The representation dimension encoder can be generated 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 reduced number of dimensions by reducing the number of neurons in the intermediate layer compared to the number of dimensions in the input layer. Specifically, for example, the general-dimension vector calculated from the published text data is input to the AE or VAE, and end-to-end learning is performed such 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.

[0028] The category score estimation unit 13 estimates an ideal trait category score for at least one trait category based on the ideal vector (S3, category score estimation step). The characteristic category is, for example, an item representing a type of value. The characteristic category is not particularly limited, and for example, any item can be set. Specific examples of the characteristic category include, for example, six types of value orientation scales based on psychologist Spranger's value typology, namely, theoretical type, economic type, aesthetic type, religious type, power type, and social type. The ideal trait category score is, for example, an index evaluating the organizational ideal data for each trait category. The category score estimation unit 13 can estimate the ideal trait category score based on, for example, the ideal vector and an interpretation matrix. The interpretation matrix is ​​a matrix having at least one of the characteristic categories in the rows and at least one expression dimension in the columns. The category score estimation unit 13 can estimate the ideal trait category score, for example, by calculating a matrix product of a matrix representing the ideal vector and an interpretation matrix D.

[0029] 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.

[0030] 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).

[0031] 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).

[0032] 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).

[0033] The output unit 14 outputs the idea characteristic category score (S4, output step). The output unit 14 may output the idea characteristic category score as visualized data, for example. The visualized data may be, for example, a graph display. The output unit 14 may output the idea characteristic category score to, for example, an output device (e.g., a display) 106 of the present device 10, or may output the idea characteristic category score to the outside of the present device 10 via a communication device 107 connected to the bus 103.

[0034] In the organizational philosophy penetration support device of the present embodiment, the organizational philosophy vector calculation unit calculates an organizational philosophy vector based on the organizational philosophy data acquired by the organizational philosophy acquisition unit, and the category score estimation unit estimates the organizational philosophy characteristic category score based on the organizational philosophy vector. This makes it possible to estimate the organizational philosophy characteristic category score of the organizational philosophy data and objectively evaluate the characteristics of the organizational philosophy.

[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 a constituent unit characteristic acquisition unit 15, a constituent unit vector calculation unit 16, and a compatibility score calculation unit 17 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. Hereinafter, the processing of the constituent unit characteristic acquisition unit 15, the constituent unit vector calculation unit 16, and the compatibility score calculation unit 17 will be described. The processing of the constituent unit characteristic acquisition unit 15, the constituent unit vector calculation unit 16, and the compatibility score calculation unit 17 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 constituent unit characteristic acquisition unit 15 acquires a constituent unit characteristic category score for at least one characteristic category for the constituent units constituting the organization (S11, constituent unit characteristic acquisition step). The constituent unit characteristic category score is, for example, information on the evaluation value for each of the characteristic categories in the constituent units of the organization. The constituent unit characteristic acquisition unit 15 can acquire the constituent unit characteristic category score by, for example, acquiring information such as a questionnaire conducted on the members of the organization and analyzing the questionnaire results. The questionnaire is not particularly limited, and for example, a known questionnaire (survey) for confirming the psychological characteristics of the constituent units can be used. In addition, the constituent unit characteristic acquisition unit 15 may acquire a constituent unit characteristic category score that is arbitrarily set for each of the constituent units for each of the characteristic categories. For example, when the organization has a plurality of constituent units, the constituent unit characteristic acquisition unit 15 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 property acquisition section 15 may store the constituent unit property data in the memory 102 or the storage device 104, for example.

[0038] The constituent unit vector calculation section 16 calculates the constituent unit vectors based on the constituent unit characteristic category scores (S12, constituent unit vector calculation means). The constituent unit vector calculation section 16 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. Furthermore, the constituent unit vector calculation section 16 may calculate the constituent unit vectors in the same manner as the calculation of the ideal vector in the first embodiment, except that the constituent unit characteristic category scores are used as input values.

[0039] The compatibility score calculation unit 17 calculates the compatibility score between the organizational philosophy data and the constituent unit based on the philosophy vector and the constituent unit vector (S13, compatibility score calculation step). Specifically, the compatibility score calculation unit 17 can calculate, for example, the cosine similarity (cosine interior angle) between the philosophy 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 2 In this case, the compatibility score calculation unit 17 can calculate the compatibility score by using, for example, the following formula 1.

number

[0040] The output unit 14 outputs the compatibility score (S14, 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.

[0041] The organizational philosophy penetration 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 a compatibility score between the organizational philosophy data and the constituent unit based on the philosophy vector and the constituent unit vector. Therefore, the organizational philosophy penetration support device of this embodiment can objectively evaluate the compatibility between the organizational philosophy and the constituent units of the organization.

[0042] [Embodiment 3] The third embodiment is another example of the organizational philosophy penetration device of the present disclosure.

[0043] FIG. 9 is a block diagram showing an example of the configuration of the organizational philosophy permeation device 10B. As shown in FIG. 9, the organizational philosophy permeation device 10B includes a constituent unit characteristic acquisition unit 15, a constituent unit vector calculation unit 16, and an organizational philosophy generation unit 18 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. Hereinafter, the processing of the constituent unit characteristic acquisition unit 15, the constituent unit vector calculation unit 16, and the organizational philosophy generation unit 18 will be described. The processing of the constituent unit characteristic acquisition unit 15, the constituent unit vector calculation unit 16, and the organizational philosophy generation unit 18 may be appropriately 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.

[0044] The constituent unit characteristic acquisition unit 15 acquires a constituent unit characteristic category score for at least one characteristic category for the constituent units constituting the organization (S21, constituent unit characteristic acquisition step). The constituent unit characteristic category score is, for example, information on the evaluation value for each of the characteristic categories in the constituent units of the organization. The constituent unit characteristic acquisition unit 15 can acquire the constituent unit characteristic category score by, for example, acquiring information such as a questionnaire conducted on the members of the organization and analyzing the questionnaire results. The questionnaire is not particularly limited, and for example, a known questionnaire (survey) for confirming the psychological characteristics of the constituent units can be used. For example, when the organization has a plurality of constituent units, the constituent unit characteristic acquisition unit 15 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 15 may store the constituent unit characteristic data in the memory 102 or the storage device 104, for example.

[0045] The constituent unit vector calculation unit 16 calculates the constituent unit vectors based on the constituent unit characteristic category scores (S22, constituent unit vector calculation means). The constituent unit vector calculation unit 16 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 16 may also calculate a representation vector, for example, based on the constituent unit vectors and an interpretation matrix. The interpretation matrix is, for example, as described above. Specifically, the constituent unit vector calculation unit 16 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 of 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 using other methods. As a specific example of the other methods, for example, the Moore-Penrose pseudoinverse matrix (D T (DD T )-1 ), a method of calculating the inverse matrix (equation (3) below) from the singular value decomposition of the interpretation matrix D (equation (2) below), and a method of using an optimization problem (mathematical programming problem) to minimize equation (4) below.

number

number

number

[0046] The constituent unit vector calculation section 16 may calculate the constituent unit vector in the same manner as the calculation of the ideal vector in the first embodiment, except that the constituent unit characteristic category score is used as an input value.

[0047] The organizational philosophy generating unit 18 generates candidate philosophy data based on the constituent unit vectors (S23, 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 18 can generate the candidate philosophy data by, for example, decoding the expression vectors using the expression dimension decoder. The organizational philosophy generating unit 18 may generate the candidate philosophy data by, for example, generating natural language vectors by decoding the expression vectors using the expression dimension decoder, and performing natural language processing on the natural language vectors. For the natural language processing, for example, a known method of generating sentences from vectors 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 18 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.

[0048] The output unit 14 outputs the candidate concept data (S24, 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 present device 10, or may output the candidate concept data to the outside of the present device 10 via a communication device 107 connected to the bus 103.

[0049] In the organizational philosophy penetration 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 penetration support device of this embodiment, it is possible to generate an organizational philosophy that is more easily penetrated 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).

[0050] [Embodiment 4] The organizational philosophy penetration support program of the present embodiment is a program for causing a computer to execute each step of the organizational philosophy penetration support method described above. Specifically, the organizational philosophy penetration support program of the present embodiment is a program for causing a computer to execute an organizational philosophy acquisition procedure, an ideology vector calculation procedure, a category score estimation procedure, and an output procedure.

[0051] The method includes an organizational philosophy acquisition procedure, a philosophy vector calculation procedure, a category score estimation procedure, and an output procedure. The organizational philosophy acquisition step acquires organizational philosophy data, The philosophy vector calculation step calculates a philosophy vector based on the organizational philosophy data, The category score estimation step estimates an idea characteristic category score for at least one characteristic category based on the idea vector; The output step outputs the philosophy characteristic category scores.

[0052] The organizational philosophy penetration support program of the present embodiment can also be said to be a program that causes a computer to function as an organizational philosophy acquisition step, an philosophy vector calculation step, a category score estimation step, and an output step.

[0053] The organizational philosophy penetration support program of this embodiment can be implemented by using the description of the organizational philosophy penetration support device and organizational philosophy penetration support method of the present disclosure. In each of the steps, for example, the "step" can be read as "processing". In addition, the organizational philosophy penetration 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 penetration support program of this embodiment (for example, also referred to as a programming product or organizational philosophy penetration 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 network or distribution via a device connected by a wire. The organizational philosophy penetration 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.

[0054] 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.

[0055] <Additional Notes> Some or all of the above embodiments may be described as follows, but are not limited to the following supplementary notes. (Appendix 1) The system includes an organizational philosophy acquisition unit, a philosophy vector calculation unit, a category score estimation unit, and an output unit, The organizational philosophy acquisition unit acquires organizational philosophy data, The philosophy vector calculation unit calculates a philosophy vector based on the organizational philosophy data, The category score estimation unit estimates an idea characteristic category score for at least one characteristic category based on the idea vector, The output unit outputs the philosophy characteristic category score. (Appendix 2) The organizational philosophy penetration support device according to claim 1, wherein the philosophy vector calculation unit reduces the number of dimensions of the philosophy vector using an expression dimension encoder. (Appendix 3) The category score estimation unit estimates the idea characteristic category score based on the idea vector and an interpretation matrix; 3. The organizational philosophy penetration support device according to claim 1 or 2, wherein the interpretation matrix is ​​a matrix having at least one of the characteristic categories in rows and at least one expression dimension in columns. (Appendix 4) The apparatus includes a constituent unit characteristic acquisition unit, a constituent unit vector calculation unit, and a compatibility score calculation 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 compatibility score calculation unit calculates a compatibility score between the organizational philosophy data and the constituent unit based on the philosophy vector and the constituent unit vector, 4. The organizational philosophy penetration support device according to claim 1, wherein the output unit outputs the compatibility score. (Appendix 5) The system includes a structural unit characteristic acquisition unit, a structural unit vector calculation unit, and an organizational philosophy generation 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 organizational philosophy penetration support device according to any one of claims 1 to 4, wherein the output unit outputs the candidate philosophy data. (Appendix 6) The constituent unit vector calculation unit is Calculating an expression vector based on the constituent unit vector and an interpretation matrix; The organizational philosophy generation unit generates the candidate philosophy data by decoding the expression vector using an expression dimension decoder. (Appendix 7) 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 8) The method includes an organizational philosophy acquisition step, a philosophy vector calculation step, a category score estimation step, and an output step, The organizational philosophy acquisition step acquires organizational philosophy data, The philosophy vector calculation step calculates a philosophy vector based on the organizational philosophy data, The category score estimation step estimates an idea characteristic category score for at least one characteristic category based on the idea vector, The output step outputs the idea characteristic category score. A method for supporting the penetration of organizational philosophy, wherein each of the steps is executed by a computer. (Appendix 9) The organizational philosophy penetration support method according to claim 8, wherein the philosophy vector calculation step reduces the number of dimensions of the philosophy vector using an expression dimension encoder. (Appendix 10) The category score estimation step estimates the idea characteristic category score based on the idea vector and an interpretation matrix; The method for supporting the penetration of organizational philosophy according to claim 8 or 9, wherein the interpretation matrix is ​​a matrix having at least one of the characteristic categories as rows and at least one expression dimension as columns. (Appendix 11) The method includes a constituent unit characteristic acquisition step, a constituent unit vector calculation step, and a compatibility score calculation 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 compatibility score calculation step calculates a compatibility score between the organizational philosophy data and the constituent unit based on the philosophy vector and the constituent unit vector, The organizational philosophy penetration support method according to any one of appendices 8 to 10, wherein the output step outputs the compatibility score. (Appendix 12) The method includes a constituent unit characteristic acquisition step, a constituent unit vector calculation step, and an organizational philosophy generation 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 organizational philosophy penetration support method according to any one of appendices 8 to 11, wherein the output step outputs the candidate philosophy data. (Appendix 13) The constituent unit vector calculation step includes: Calculating an expression vector based on the constituent unit vector and an interpretation matrix; The organizational philosophy permeation support method according to claim 12, wherein the organizational philosophy generation step generates the candidate philosophy data by decoding the expression vector using an expression dimension decoder. (Appendix 14) The organizational philosophy generation process includes generating a natural language vector by decoding the expression vector using the expression dimension decoder, and generating the candidate philosophy data by natural language processing the natural language vector. (Appendix 15) The method includes an organizational philosophy acquisition procedure, a philosophy vector calculation procedure, a category score estimation procedure, and an output procedure. The organizational philosophy acquisition step acquires organizational philosophy data, The philosophy vector calculation step calculates a philosophy vector based on the organizational philosophy data, The category score estimation step estimates an idea characteristic category score for at least one characteristic category based on the idea vector; The output step outputs the philosophy characteristic category scores. An organizational philosophy penetration support program for causing a computer to execute each of the above procedures. (Appendix 16) The organizational philosophy penetration support program described in Appendix 15, wherein the philosophy vector calculation step reduces the number of dimensions of the philosophy vector using an expression dimension encoder. (Appendix 17) The category score estimation step estimates the idea characteristic category scores based on the idea vector and an interpretation matrix; The organizational philosophy penetration support program according to claim 15 or 16, wherein the interpretation matrix is ​​a matrix having at least one of the characteristic categories in rows and at least one expression dimension in columns. (Appendix 18) The method includes a constituent unit characteristic acquisition step, a constituent unit vector calculation step, and a compatibility score calculation step, 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 compatibility score calculation step calculates a compatibility score between the organizational philosophy data and the constituent unit based on the philosophy vector and the constituent unit vector; 18. The organizational philosophy penetration support program according to any one of appendices 15 to 17, wherein the output step outputs the compatibility score. (Appendix 19) The method includes a procedure for acquiring constituent unit characteristics, a procedure for calculating constituent unit vectors, and a procedure for generating organizational principles, 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 organizational philosophy penetration support program described in any one of appendices 15 to 18, wherein the output step outputs the candidate philosophy data. (Appendix 20) The constituent unit vector calculation procedure is Calculating an expression vector based on the constituent unit vector and an interpretation matrix; The organizational philosophy generation procedure generates the candidate philosophy data by decoding the expression vector using an expression dimension decoder. (Appendix 21) The organizational philosophy generation procedure includes generating a natural language vector by decoding the expression vector using the expression dimension decoder, and generating the candidate philosophy data by natural language processing the natural language vector. (Appendix 22) The method includes an organizational philosophy acquisition procedure, a philosophy vector calculation procedure, a category score estimation procedure, and an output procedure. The organizational philosophy acquisition step acquires organizational philosophy data, The philosophy vector calculation step calculates a philosophy vector based on the organizational philosophy data, The category score estimation step estimates an idea characteristic category score for at least one characteristic category based on the idea vector; The output step outputs the philosophy characteristic category scores. A computer-readable recording medium having recorded thereon an organizational philosophy penetration support program for causing a computer to execute each of the above procedures. (Appendix 23) The organizational philosophy penetration support program described in Appendix 22, wherein the philosophy vector calculation step reduces the number of dimensions of the philosophy vector using an expression dimension encoder. (Appendix 24) The category score estimation step estimates the idea characteristic category scores based on the idea vector and an interpretation matrix; 24. The recording medium of claim 22 or 23, wherein the interpretation matrix is ​​a matrix having at least one of the characteristic categories as rows and at least one expression dimension as columns. (Appendix 25) The method includes a constituent unit characteristic acquisition step, a constituent unit vector calculation step, and a compatibility score calculation step, 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 compatibility score calculation step calculates a compatibility score between the organizational philosophy data and the constituent unit based on the philosophy vector and the constituent unit vector; 25. The recording medium of any one of appendices 22 to 24, wherein the output step outputs the compatibility score. (Appendix 26) The method includes a procedure for acquiring constituent unit characteristics, a procedure for calculating constituent unit vectors, and a procedure for generating organizational principles, 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; 26. The recording medium according to any one of appendices 22 to 25, wherein the output step outputs the candidate concept data. (Appendix 27) The constituent unit vector calculation procedure is Calculating an expression vector based on the constituent unit vector and an interpretation matrix; 27. The recording medium of claim 26, wherein the organizational philosophy generation step generates the candidate philosophy data by decoding the representation vector using a representation dimension decoder. (Appendix 28) The recording medium described in Appendix 27, 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. [Industrial Applicability]

[0056] The organizational philosophy penetration support device according to the present disclosure can, for example, objectively evaluate the organizational philosophy. Therefore, the present disclosure can be widely used in, for example, various business fields. [Explanation of symbols]

[0057] 10 Organizational philosophy penetration support device (user analysis department) 11 Organizational Philosophy Acquisition Department 12. Ideal Vector Calculation Section 13 Category score estimation part 14 Output section 15. Unit characteristic acquisition section 16 Constituent unit vector calculation section 17 Matching score calculation section 18 Organizational philosophy generation department 101 CPU 102 Memory 103 Bus 104 Storage device 105 Input Device 106 Output Device 107 Communication Devices

Claims

1. The system includes an organizational philosophy acquisition unit, a philosophy vector calculation unit, a category score estimation unit, and an output unit, The organizational philosophy acquisition unit acquires organizational philosophy data, The philosophy vector calculation unit calculates a philosophy vector based on the organizational philosophy data, The category score estimation unit estimates an idea characteristic category score for at least one characteristic category based on the idea vector, The output unit outputs the philosophy characteristic category score.

2. 2. The organizational philosophy penetration support device according to claim 1, wherein the philosophy vector calculation unit reduces the number of dimensions of the philosophy vector using an expression dimension encoder.

3. The category score estimation unit estimates the idea characteristic category score based on the idea vector and an interpretation matrix; 3. The organizational philosophy penetration support device according to claim 1, wherein the interpretation matrix is ​​a matrix having at least one of the characteristic categories in rows and at least one expression dimension in columns.

4. The apparatus includes a constituent unit characteristic acquisition unit, a constituent unit vector calculation unit, and a compatibility score calculation 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 compatibility score calculation unit calculates a compatibility score between the organizational philosophy data and the constituent unit based on the philosophy vector and the constituent unit vector, The organizational philosophy penetration assistance device according to claim 1 , wherein the output unit outputs the compatibility score.

5. The system includes a structural unit characteristic acquisition unit, a structural unit vector calculation unit, and an organizational philosophy generation 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, 3. The organizational philosophy penetration assistance device according to claim 1, wherein the output unit outputs the candidate philosophy data.

6. The constituent unit vector calculation unit is Calculating an expression vector based on the constituent unit vector and an interpretation matrix; 6. The organizational philosophy penetration assistance device according to claim 5, wherein said organizational philosophy generation unit generates said candidate philosophy data by decoding said expression vector using an expression dimension decoder.

7. 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.

8. The method includes an organizational philosophy acquisition step, a philosophy vector calculation step, a category score estimation step, and an output step, The organizational philosophy acquisition step acquires organizational philosophy data, The philosophy vector calculation step calculates a philosophy vector based on the organizational philosophy data, The category score estimation step estimates an idea characteristic category score for at least one characteristic category based on the idea vector, The output step outputs the idea characteristic category score. A method for supporting the penetration of organizational philosophy, wherein each of the steps is executed by a computer.

9. The method includes an organizational philosophy acquisition procedure, a philosophy vector calculation procedure, a category score estimation procedure, and an output procedure. The organizational philosophy acquisition step acquires organizational philosophy data, The philosophy vector calculation step calculates a philosophy vector based on the organizational philosophy data, The category score estimation step estimates an idea characteristic category score for at least one characteristic category based on the idea vector; The output step outputs the philosophy characteristic category scores. An organizational philosophy penetration support program for causing a computer to execute each of the above procedures.

10. The method includes an organizational philosophy acquisition procedure, a philosophy vector calculation procedure, a category score estimation procedure, and an output procedure. The organizational philosophy acquisition step acquires organizational philosophy data, The philosophy vector calculation step calculates a philosophy vector based on the organizational philosophy data, The category score estimation step estimates an idea characteristic category score for at least one characteristic category based on the idea vector; The output step outputs the philosophy characteristic category scores. A computer-readable recording medium having recorded thereon an organizational philosophy penetration support program for causing a computer to execute each of the above procedures.

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