JP2020052745A - Scoring device for organizational vision, matching determination device between organizational vision and constituent unit of organization, generation device for organizational vision candidate and method thereof, program, and storing medium - Google Patents

Abstract

To provide a novel device for objectively quantifying a vision for an organization.SOLUTION: A scoring device for organizational visions according to the present invention includes a storage section, a score set generation section, and a correlation information generation section. The storage section stores language data as to a plurality of organizational vision samples, and as to constituent units constituting an organization, associates value intentionality categories to which the constituent units attribute with presence or absence of empathy against each of the organizational vision samples, for storing the same. The score set generation section counts, as to each of the organizational vision samples, for each of the value intentionality categories, the number of constituent units that are the constituent units attributing to value directivity categories and that express the empathy, for generating a count set for each of the value directivity categories as a value directivity score set for the organizational vision samples. The correlation information generation section generates, as to the organizational vision samples, correlation information expressing a correlation between the language data and a vision intentionality score set, deeming the language data and the value directivity score set as a data set.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an organizational vision scoring apparatus, an apparatus for determining a matching between an organizational vision and a constituent unit of an organization, an apparatus for generating an organizational vision candidate, and a method, a program, and a recording medium thereof.

  In an organization such as a company, in order to achieve the purpose as a whole, it is necessary that the organization and the groups and individual members constituting the organization face the same direction. However, in the case of individuals, individual values can be judged objectively, but since organizations such as companies are not natural people, it is not possible to objectively judge what the values of the company are. Can not. The reported method of estimating values is that, for example, by comparing the previous information with the current information, it is only possible to determine whether or not the value has changed, and the values of an organization that is not a natural person, It is difficult to judge objectively (Patent Document 1).

JP-A-2017-182483

  Accordingly, an object of the present invention is to provide a new apparatus and method for objectively quantifying the vision of an organization, and a method of using the same.

In order to achieve the above object, an organization vision scoring device of the present invention comprises:
Including a storage unit, a score set generation unit, and a correlation information generation unit,
The storage unit,
Store language data for multiple organizational vision samples,
For a plurality of constituent units constituting an organization, the value-oriented category to which the constituent unit belongs and the presence / absence of sympathy for each of the organizational vision samples are stored in association with each other,
The score set generator,
For the organizational vision sample, for each of the value-oriented categories, count the number of constituent units that are constituent units belonging to the value-directed category and show empathy, and a count set of each value-directed category, Generated as a value-directed score set of the organization vision sample,
The correlation information generator,
For the organizational vision sample, the language data and the value-oriented score set as a data set, to generate correlation information indicating a correlation between the language data and the value-oriented score set,
It is characterized by the following.

The matching determination device for the organizational vision and the constituent units of the organization of the present invention,
Including a storage unit, a score estimation unit, and a matching determination unit,
The storage unit,
A correlation information storage unit, and a configuration unit storage unit,
The correlation information storage unit stores correlation information indicating a correlation between language data of an organizational vision and a value-directed score set of the organizational vision,
The constituent unit storage unit stores a value-directed score set of constituent units constituting the organization,
The score estimator,
Using the linguistic data of the organizational vision to be scored, based on the correlation information, estimate the value-directed score set of the organizational vision,
The matching determination unit,
Judging from the similarity between the value-directed score set of the organizational vision and the value-directed score set of the constituent unit whether or not the organized vision and the constituent unit match;
The value-oriented score set of the organizational vision is:
Regarding the organizational vision, represented by a score set corresponding to a count set of the number of constituent units that are constituent units belonging to each of the value-oriented categories and show empathy,
The value-directed score set of the constituent unit is:
The constituent unit is represented by a score set indicating a degree of applicability to each of the value directivity categories.

The organization vision candidate generating device of the present invention includes:
Including a storage unit, a matching score calculation unit, and an organization vision candidate generation unit,
The storage unit,
Including an organization vision storage unit and a configuration unit storage unit,
The organization vision storage unit stores the language data of the organization vision sample and the value-directed score set of the organization vision sample in association with each other,
The configuration unit storage unit stores a group that is a configuration unit in association with a value-directed score set of the group,
The matching score calculation unit,
Align the value-directed score set of the organizational vision sample and the value-directed score set of the group, calculate the overall difference between the two as a matching score,
The organization vision candidate generation unit,
Selecting an organizational vision sample exhibiting a matching score that exceeds a reference value as a suitable organizational vision candidate for the group;
The value-oriented score set of the organizational vision is:
Regarding the organizational vision, represented by a score set corresponding to a count set of the number of constituent units that are constituent units belonging to each of the value-oriented categories and show empathy,
The group is
A group of individuals that make up an organization.
The value-oriented score set of the group is:
Represented by an average value-directed score set calculated from the value-directed score set of the plurality of individuals,
The individual's value-directed score set is represented by a score set indicating the degree of matching of the individual to each of the value-directed categories.

The scoring method of the organization vision of the present invention is as follows.
Using data sets,
The data group is
Including language data for multiple organizational vision samples,
For a plurality of constituent units constituting the organization, the value-oriented category to which the constituent unit belongs, and including in association with the presence or absence of sympathy with each of the organizational vision samples,
Including a score set generation step, and a correlation information generation step,
The score set generating step includes:
For each of the plurality of organizational vision samples, for each of the value-oriented categories, count the number of structural units that are constituent units belonging to the value-oriented category and show empathy, and count the count set of each value-oriented category. , Generated as a value-directed score set of the organizational vision sample,
The correlation information generating step,
For the organizational vision sample, correlation information indicating a correlation between the language data and the value-oriented score set is generated using the language data and the value-oriented score set as a data set.

The matching judgment method between the organizational vision and the constituent units of the organization of the present invention,
Using data sets,
The data group is
Language data of the organizational vision, including correlation information indicating a correlation with the value-directed score set of the organizational vision,
The value-oriented score set of the constituent units constituting the organization is stored,
Including a score estimation step, and a matching determination step, wherein the score estimation step includes:
Using the linguistic data of the organizational vision to be scored, based on the correlation information, estimate the value-directed score set of the organizational vision,
The matching determination step includes:
Judging from the similarity between the value-directed score set of the organizational vision and the value-directed score set of the constituent unit whether or not the organized vision and the constituent unit match;
The value-oriented score set of the organizational vision is:
Regarding the organizational vision, represented by a score set corresponding to a count set of the number of constituent units that are constituent units belonging to each of the value-oriented categories and show empathy,
The value-directed score set of the constituent unit is:
The constituent unit is represented by a score set indicating a degree of applicability to each of the value directivity categories.

The generation method of the organization vision candidate of the present invention includes:
Using a data group, the data group is:
The language data of the organizational vision sample and the value-oriented score set of the organizational vision sample are included in association with each other,
A group that is a constituent unit and a value-directed score set of the group are stored in association with each other,
Including a matching score calculation step and an organization vision candidate generation step,
The matching score calculation step,
Align the value-directed score set of the organizational vision sample and the value-directed score set of the group, calculate the overall difference between the two as a matching score,
The organization vision candidate generation step,
Selecting an organizational vision sample exhibiting a matching score that exceeds a reference value as a suitable organizational vision candidate for the group;
The value-oriented score set of the organizational vision is:
Regarding the organizational vision, represented by a score set corresponding to a count set of the number of constituent units that are constituent units belonging to each of the value-oriented categories and show empathy,
The group is
A group of individuals that make up an organization.
The value-oriented score set of the group is:
Represented by an average value-directed score set calculated from the value-directed score set of the plurality of individuals,
The individual's value-directed score set is represented by a score set indicating the degree of matching of the individual to each of the value-directed categories.

  A program of the present invention causes a computer to execute the scoring method, the matching determination method, or the method of generating an organization vision candidate of the present invention.

  The recording medium of the present invention is a computer-readable recording medium on which the program of the present invention is recorded.

  According to the present invention, since the vision of an organization can be objectively quantified by scoring, for example, it is objectively determined whether or not the direction of the organization matches with the groups and members constituting the organization. It becomes possible to do.

FIG. 1 is a block diagram illustrating an example of the scoring device according to the first embodiment. FIG. 2 is a block diagram illustrating an example of a hardware configuration of the scoring device according to the first embodiment. FIG. 3 is a block diagram illustrating an example of the matching determination device according to the second embodiment. FIG. 4 is a block diagram illustrating an example of a hardware configuration of the matching determination device according to the second embodiment. FIG. 5 is a graph of alignment of a value-oriented score set in the second embodiment. FIG. 6 is a block diagram illustrating an example of a generation device according to the third embodiment. FIG. 7 is a block diagram illustrating an example of a hardware configuration of the generation device according to the third embodiment. FIG. 8 is a flowchart illustrating an example of an organization vision candidate generation method according to the third embodiment.

  In the present invention, an “organization” is an aggregate composed of a plurality of constituent units. For example, companies, government offices, schools, sports teams, NPOs (Nonprofit Organizations), NGOs (non-governmental organizations), and other organizations can give. The “composition unit” is a unit constituting the organization, for example, a plurality of groups constituting the organization or a plurality of individuals (also referred to as members) constituting the organization, and the “group” is composed of a plurality of individuals. Be composed. When the organization is a “company”, the “group” includes, for example, a branch and a head office, a department (eg, sales, general affairs, production management, development, etc.), a project team, a store, a sales office, and the like. Is, for example, an employee, a contract employee, or the like.

  In the present invention, the “value-oriented category” indicates a type of individual values. The value-directed category is not particularly limited. For example, there are six types of theoretical type, economic type, aesthetic type, religion type, power type, and social type defined by psychologist Spranger. The value of an individual can be determined, for example, from the degree of relevance to each value-oriented category, and the degree of relevance can be represented by, for example, a score for each value-oriented category from the results of an individual questionnaire. For example, since each score for each value-oriented category can be calculated for each individual from the answer result of the questionnaire, those score sets can be used as the individual value-oriented score sets. Further, the value-directed category showing the highest score in the value-oriented score set can be set as the main value-directed category of the individual. Note that the questionnaire and the scoring of the value-directed category based on the questionnaire can be performed, for example, by using an existing method (for example, “analysis of order relation between scale items in a value-directed scale”, Educational Psychology Research, 2018 , 66, 1-13) are available.

  The individual's value directivity score can be represented, for example, as shown in Table 1 below. In Table 1 below, ID is the ID of an individual, and the numerical value is a score indicating the degree of applicability to each value-oriented category (theoretical type, economic type, aesthetic type, religion type, social type, power type). . ID No. The individual A of the individual A has a theoretical score 10, an economic score 3, an aesthetic score 44, a religion score 2, a social score 32, and a power score 1. These are the value-oriented score sets of the individual A (theoretical score set). 10, economy 3, aesthetics 44, religion 2, society 32, power 1). In addition, in the value-oriented score set of the individual A, since the aesthetic type score is the highest, the main value-oriented category of the individual A can be determined to be “aesthetic type”.

  In the present invention, the “vision” is, for example, a concept, a future image, a mission, a purpose, and the like of a future state. As described above, in order for an organization to achieve its organizational vision, it is important that the vision of the organization and the vision of the constituent units (groups and individuals) that make up the organization point in the same direction. There was no index to indicate, and it was difficult to make objective judgments. On the other hand, the point of the present invention is that the organization vision of the organization is quantified as a score using the value directivity category of the constituent unit. This quantification is based on, for example, the following concept.

  First, a plurality of organizational vision samples are prepared as an organizational vision, and a plurality of individuals evaluate the sympathy with each organizational vision sample. The organizational vision sample is a language such as "anytime, anywhere, anyone", "I want to create a society that creates new vitality", "To make people's heart rich and vibrant" Data. Each of the plurality of individuals has determined a main value-oriented category as described above. Then, for a plurality of organizational vision samples, when the number of individuals who belong to each value-directed category and show sympathy is counted, for example, a result as shown in Table 2 below is obtained. In Table 2 below, the vision ID is the number of the organizational vision sample, and the scores shown in each value-oriented category are each the value-oriented category as a main value-oriented category and are sympathetic to the organizational vision sample. The number of individuals who have done this. That is, the organizational vision sample ID1 is composed of 99 of the individuals whose main value directivity categories are theoretical, 13 of the individuals of the economic type, 12 of the individuals of the aesthetic type, and the individuals of the religious type. Two of them, and four of the social individuals, show sympathy with each other. Then, a score set indicating the number of sympathetic persons, that is, “theory 99, economy 13, aesthetics 12, religion 2, society 4, power 23” is the value-directed score set of the organization vision sample ID1.

  By using the language data of the organization vision sample and the value-oriented score set as a data set, correlation information indicating a correlation between the language data and the value-oriented score set can be generated. Since the correlation information is correlation information between the language data and the value-oriented score set, for example, when a new organizational vision X is generated, for example, the value-orientedness score of the organizational vision X is calculated from the correlation information. The set can be estimated.

  Thus, according to the present invention, since the organization vision can be quantified as a value-directed score set, for example, the organization vision matches the constituent unit, or the constituent unit matches the organization vision. It is also possible to determine whether the structural unit matches the organizational vision, and what kind of the structural unit is, and it can also be used for designing an organizational vision suitable for the structural unit of the organization.

  An embodiment of the present invention will be described. Note that the present invention is not limited to the following embodiments. In the following drawings, the same portions are denoted by the same reference numerals. Further, the description of each embodiment can use the mutual description unless otherwise specified. Furthermore, the configurations of the embodiments can be combined unless otherwise specified.

[Embodiment 1]
An example of the scoring device and the scoring method of the present invention will be described with reference to the drawings.

  FIG. 1 is a block diagram illustrating an example of the scoring device according to the present embodiment. The scoring device 1 includes a storage unit 10, a score set generation unit 11, and a correlation information generation unit 12, and may further include, for example, a score estimation unit 13, an input unit 14, and an output unit 15. The scoring device 1 is also referred to as, for example, a scoring system. The scoring device 1 may be, for example, one device including the respective units, or a device to which the respective units can be connected via a communication network.

  The communication network is not particularly limited, and a known communication network can be used, and may be wired or wireless. Examples of the communication line network include an Internet line, a telephone line, a LAN (Local Area Network), and a WiFi (Wireless Fidelity). In the scoring apparatus 1, the processing of each unit may be performed on a cloud.

The storage unit 10 includes, for example, an organization vision storage unit 101 and a constituent unit storage unit 102. Tissue vision storage unit 101, tissue vision data regarding tissue vision is stored, specifically, the plurality of tissue vision sample V _S, the language data is stored. The language data is, for example, character string data representing an organizational vision.

Configuration unit storage unit 102, the structural unit data relating to the structural units that constitute the tissue is stored, specifically, the plurality of constituent units, and Value Orientation category the structural unit belongs, each tissue vision sample V _S Is stored in association with the presence / absence of sympathy with the user.

  These various data may be input by the input unit 14 and stored in the storage unit 10, for example. The scoring device 1 may receive, for example, the various data from an external device via the input unit 14. The scoring device 1 can be connected to, for example, the external device, and as a specific example, can be connected via a communication network. The external device includes, for example, a database, a server, and a terminal in which the various data are stored, and the terminal is, for example, a PC (personal computer), a tablet, a smartphone, or the like. The communication network is, for example, the same as described above.

Score set generating section 11, the tissue vision samples V _S, respectively, for each of the value orientation property categories, by counting the number of structural units shown empathy the constitutional units belonging to value directional category and, each value the count set of directional category, to generate as an organization vision sample V _S value-oriented score set S _S of. Tissue Vision Sample V value directivity score set S _S of _S is, for example, in tissue vision storage unit 101 of the storage unit 10, in association with the language data of the tissue vision sample V _S, is stored.

Correlation information generating unit 12, the tissue vision samples V _S, and wherein the language data value directivity score set S _S as data sets, a correlation information indicating a correlation between the value orientation score set and the language data Generate. In the generation of the correlation information, the language data may be used, for example, as natural language processed data. The correlation information is stored in the correlation information storage unit 103 of the storage unit 10, for example.

The correlation information in the correlation information generating unit 12 is, for example, a score estimation model for estimating the value directivity score set S _S tissue vision sample V _S. In this case, the correlation information generating unit 12 is, for example, for tissue vision samples V _S, and wherein the language data value directivity score set S _S as learning data sets, by machine learning, the value orientation of said language data generating a score estimation model indicating a correlation between the score set S _S.

Scoring apparatus 1 further, if it has a score estimator 13, scoring device 1, for example, even if the count of the structural units shown sympathy is not known for the tissue vision V _T, which is a new scoring target, It can be estimated its value-oriented score set S _T. The language data of the new organization vision _VT is input by, for example, the input unit 14. The score estimator 13 uses the language data of the tissue vision V _T, on the basis of the correlation information, to estimate the value directivity score set S _T of the tissue vision V _T.

Incidentally, the language data of the tissue vision V _T and its value directivity score set S _T, for example, in association, as a new, tissue vision samples V worth directivity score set the language data of the _S S _T May be stored in the organization vision storage unit 101. Then, the correlation information such as the score estimation model may be updated by using these as a data set of the learning data or the like and performing machine learning or the like.

  The data of the storage unit 10, the data generated by the score set generation unit 11, the data generated by the correlation information generation unit 12, the data generated by the score estimation unit 13, and the like are output by the output unit 15, for example. Is also good. The output format is not particularly limited. For example, when the scoring device 1 has a display unit as the output unit 15, the output may be performed on the display unit. The data may be output to the connected external device via a device.

  Next, FIG. 2 illustrates a block diagram of a hardware configuration of the scoring device 1. The scoring device 1 includes, for example, a CPU (Central Processing Unit) 201, a memory 202, a bus 203, an input device 204, a display 205, a communication device 206, a storage device 207, and the like. Each unit of the scoring apparatus 1 is mutually connected via a bus 203 by respective interfaces (I / F).

  The CPU 201 is a processor that performs overall control of the scoring device 1, and is not limited to the CPU, and may be another processor. In the scoring device 1, the CPU 201 executes, for example, the program of the present invention and other programs, and reads and writes various information. Specifically, in the scoring device 1, for example, the CPU 201 functions as the score set generation unit 11, the correlation information generation unit 12, the score estimation unit 13, and the like.

  The scoring device 1 can be connected to a communication network by a communication device 206 connected to the bus 203, for example, and can be connected to an external device via the communication network. The external device is not particularly limited, and is, for example, as described above. The connection method between the scoring device 1 and the external device is not particularly limited, and may be, for example, a wired connection or a wireless connection. The wired connection may be, for example, a connection by a cord or a connection by a cable or the like for using a communication network. The wireless connection may be, for example, a connection using a communication network or a connection using wireless communication. The communication network is not particularly limited. For example, a known communication network can be used, and is the same as described above. The connection form between the scoring device 1 and the external device may be, for example, USB.

  The memory 202 includes, for example, a main memory, and the main memory is also referred to as a main storage device. When the CPU 201 performs processing, the memory 202 reads various operation programs 208 such as the program of the present invention stored in an auxiliary storage device described later, and the CPU 201 receives data from the memory 202 and , The program 208 is executed. The main memory is, for example, a RAM (random access memory). The memory 202 further includes, for example, a ROM (read only memory).

  The storage device 207 is also referred to as a so-called auxiliary storage device for the main memory (main storage device), for example. The storage device 207 includes, for example, a storage medium and a drive that reads from and writes to the storage medium. The storage medium is not particularly limited. For example, the storage medium may be a built-in type or an external type, and may be HD (hard disk), FD (floppy (registered trademark) disk), CD-ROM, CD-R, CD-RW, MO, Examples include a DVD, a flash memory, and a memory card, and the drive is not particularly limited. As the storage device 207, for example, a hard disk drive (HDD) in which a storage medium and a drive are integrated can be exemplified. For example, the operation program 208 is stored in the storage device 207 as described above, and the memory 202 reads the operation program 208 from the storage device 207 when the CPU 201 is executed as described above. The storage device 207 stores, for example, the above-described organization vision data 209, constituent unit data 210, correlation information 211 such as an estimated model, and the like.

  The scoring device 1 may further include, for example, an input device 204 and a display 205. The input device 204 is, for example, a scanner, a touch panel, a keyboard, or the like. The display 205 includes, for example, an LED display, a liquid crystal display, and the like. The input device 204 is, for example, the input unit 14, and the display 205 is, for example, the output unit 15.

  Next, a scoring method according to the present embodiment will be described. The scoring method according to the present embodiment can be implemented using, for example, the scoring device 1 shown in FIGS. Note that the scoring method of the present embodiment is not limited to the use of the scoring device 1 shown in these drawings.

  The scoring method according to the present embodiment uses a data group and includes a score set generation step and a correlation information generation step.

  As the data group, for example, a data group stored in the storage device 207 can be used. As described above, the storage device 207 stores language data for a plurality of tissue vision samples as the data group, and For a plurality of constituent units to be configured, a value-oriented category to which the constituent unit belongs and presence / absence of sympathy with each organizational vision sample are stored in association with each other. The storage device 207 is, for example, the storage unit 10 of the scoring device 1, and various stored data are as described above.

  The score set generating step counts, for each of the plurality of organization vision samples, for each of the value-oriented categories, the number of constituent units that belong to the value-directed category and indicate empathy, and A directional category count set is generated as a value directional score set for the organizational vision sample. The score set generating step can be executed by, for example, the score set generating unit 11 of the scoring device 1.

  The correlation information generating step generates correlation information indicating a correlation between the language data and the value-oriented score set for the organization vision sample, using the language data and the value-directed score set as a data set. The correlation information is, for example, the above-described score estimation model. In this case, the correlation information generation step includes, for example, for the organizational vision sample, by using the language data and the value-directed score set as a learning data set, by machine learning, the language data and the value-oriented score set. Generate a score estimation model showing the correlation of The correlation information generation step can be executed by, for example, the correlation information generation unit 12 of the scoring device 1.

  The scoring method of this embodiment further includes, for example, a score estimating step, wherein the score estimating step uses the language data of the institutional vision to be scored, based on the correlation information, and Estimate the value-oriented score set of. The score estimating step can be executed by the score estimating unit 13 of the scoring device 1, for example.

  According to the present embodiment, since the correlation information is generated, for example, a value-oriented score set of a new organizational vision can be estimated using the correlation information. The value-oriented score set of the organizational vision and the value-oriented score set of the constituent units of the organization match as the two are more similar, and the more the two are more dissimilar, the more the two are dissimilar. Can be considered as not matching. For this reason, when it is desired to know a constituent unit suitable for the organizational vision, for example, by estimating the value-oriented score set X of the organizational vision, the estimated score set X (for example, theory 10, economy 3, aesthetics 44) is obtained. , Religion 2, society 32, power 1), a constituent unit indicating a value-oriented score set Y similar to that of the organization vision can be determined. Use of the present invention is not limited to these examples.

[Embodiment 2]
An example of the matching determination device and the matching determination method of the present invention will be described with reference to the drawings.

  FIG. 3 is a block diagram illustrating an example of the matching determination device according to the present embodiment. The matching determination device 2 includes a storage unit 10, a score estimation unit 13, and a matching determination unit 21, and may further include, for example, an input unit 14 and an output unit 15. The matching determination device 2 is also called, for example, a matching system. The matching determination device 2 may be, for example, one device including the respective units, or a device to which the respective units can be connected via a communication network.

  The matching determination device 2 may include, for example, all the components of the scoring device according to the first embodiment, or may be connectable to the scoring device according to the first embodiment.

  The storage unit 10 includes a configuration unit storage unit 102 and a correlation information storage unit 103. The constituent unit storage unit 102 stores constituent unit data related to constituent units constituting an organization, and specifically stores a value-directed score set of the constituent unit. The value-directed score set of the constituent unit is represented by, for example, a score set indicating the degree of matching of the constituent unit to each value-directed category.

  When the constituent unit is an individual, for example, the value-directed score set of the individual is represented by a score set indicating the degree of the individual corresponding to each of the value-directed categories. When the constituent unit is a group, for example, the value-directed score set of the group is represented by an average value-directed score set calculated from the value-directed score sets of a plurality of individuals belonging to the group. For example, Table 3 below can be referred to for the average value-oriented score set. It is assumed that IDs A to C shown in Table 1 are members (individuals) belonging to group 1 of ID 1. The average value-oriented score set of group 1 is obtained, for example, by calculating the average of each value-oriented score for members A to D. That is, “theory 23.00, economy 11.75, aesthetics 19.50, religion 24.75, society 26.75, power 18.00” is the average value directivity score set of Group 1.

  The correlation information storage unit 103 stores correlation information indicating a correlation between language data of an organizational vision and a value-directed score set of the organizational vision. The correlation information is the same as in the first embodiment, and the score estimation model is preferable.

  The score estimating unit 13 estimates a value-directed score set of the organized vision based on the correlation information using language data of the organized vision to be scored. The value-directed score set of the organizational vision is represented by a score set corresponding to a count set of the number of constituent units that are constituent units belonging to each of the value-oriented categories and show empathy for the organizational vision. The score estimating unit 13 is the same as in the first embodiment.

  The matching determination unit 21 determines whether the organizational vision matches the constituent unit based on the similarity between the value-directed score set of the organizational vision and the value-directed score set of the constituent unit. judge.

  The matching determination unit 21 includes, for example, a matching score calculation unit and a determination unit. The matching score calculation unit, for example, aligns the value-directed score set of the organizational vision with the value-directed score set of the constituent unit, and calculates a difference between both as a matching score.

  For the alignment between the value-directed score set X of the organizational vision and the value-directed score set Y of the constituent unit, for example, FIG. 5 can be referred to. FIG. 5 is a graph in which the value-directed score set X (□) of the organizational vision and the value-directed score set Y (〇) of the constituent unit are plotted. Since the graph is plotted for each value-oriented category, in each of the value-oriented categories, the difference between the score x of the organizational vision and the score y of the constituent unit (absolute value | xy of the difference) |) Is smaller (the shorter the length of the arrow in the graph showing the difference), the two categories are similar, and the larger the difference is (the longer the length of the arrow in the graph showing the difference), If the two categories are dissimilar and there is no difference (there is no arrow in the graph indicating the difference), then the two categories match.

Then, based on the difference between the two in each of the categories, the overall difference between the two is calculated as the matching score f (x, y) using, for example, Equation 1 in FIG. In the above formula, each element is as follows. The adjustment parameter C is a parameter for adjusting a score range (for example, 0.0 to 1.0).
N: Number of members belonging to a constituent unit (group) C: Adjustment parameter x _i : Score of each value-oriented category of organizational vision y _i : Score of each value-oriented category of constituent unit

  The determining unit determines that the in-vivo vision matches the structural unit when the matching score is equal to or less than a reference value, and determines the in-organization vision and the structural unit when the matching score exceeds the reference value. Is determined not to match.

  When the matching score is equal to or less than a reference value, the determination unit determines that the organizational vision and the constituent unit match, and when the matching score exceeds the reference value, the organizational vision and the constituent unit are compared. Judge that they do not match. The reference value is not particularly limited and can be set arbitrarily. In the case where the matching judgment is loosened, the reference value is set relatively large, and in the case where the matching judgment is made strict, the reference value is set relatively. To a smaller value.

  FIG. 4 illustrates a block diagram of a hardware configuration of the matching determination device 2. The matching determination device 2 includes, for example, a CPU 201, a memory 202, a bus 203, an input device 204, a display 205, a communication device 206, a storage device 207, and the like. The respective units of the matching determination device 2 are mutually connected via a bus 203 by respective interfaces (I / F).

  The CPU 201 is a processor that performs overall control of the matching determination device 2, and is not limited to the CPU, and may be another processor. In the matching determination device 2, for example, the program of the present invention and other programs are executed by the CPU 201, and various information is read and written. Specifically, in the matching determination device 2, the CPU 201 functions as the score estimating unit 13, the matching determining unit 21, and the like.

  The matching determination device 2 can be connected to a communication network by, for example, a communication device 206 connected to the bus 203, and can be connected to an external device via the communication network. The external device and connection method are not particularly limited, and are the same as, for example, the first embodiment.

  The memory 202 includes, for example, a main memory, and is similar to the first embodiment. The storage device 207 is, for example, the same as in the first embodiment. The storage device 207 stores, for example, the above-described organization vision data 209, constituent unit data 210, correlation information 211 such as an estimated model, and the like.

  The matching determination device 2 may include, for example, the input device 204 and the display 205 as in the first embodiment.

  Next, a matching determination method according to the present embodiment will be described. The matching determination method according to the present embodiment can be implemented using, for example, the matching determination device 2 illustrated in FIGS. Note that the matching determination method of the present embodiment is not limited to the use of the matching determination device 2 shown in these drawings.

  The matching determination method according to the present embodiment uses a data group and includes a score estimation step and a matching determination step.

  As the data group, for example, a data group stored in the storage device 207 can be used. As described above, the storage device 207 includes, as the data group, language data of an organization vision and a value directivity score of the organization vision. Correlation information indicating a correlation with a set is stored, and a value directivity score set of a constituent unit constituting an organization is stored. The storage device 207 is, for example, the storage unit 10 of the matching determination device 2, and various data to be stored are as described above.

  The score estimating step estimates a value-directed score set of the organized vision based on the correlation information using language data of the organized vision to be scored. The score estimation step can be executed by, for example, the score estimation unit 13 of the matching determination device 2.

  The matching determination step, based on the similarity between the value-directed score set of the organizational vision and the value-directed score set of the constituent unit, determines whether the organizational vision matches the constituent unit. judge. The matching determination step can be performed by, for example, the matching determination unit 21 of the matching determination device 2.

  The matching determination step may include, for example, a matching score calculation step and a determination step. The matching score calculating step may include, for example, aligning the value-directed score set of the organizational vision and the value-directed score set of the constituent unit, and calculating the entire difference between the two as a matching score. If the matching score is equal to or less than a reference value, it is determined that the organizational vision and the constituent unit match.If the matching score exceeds the reference value, the organizational vision and the constituent unit do not match. judge.

  According to the present invention, it is possible to determine whether or not the organizational vision matches the constituent unit by using the value-oriented score set as described above.

  Further, according to the present invention, further, when it is determined that they do not match, it is determined that they match, but when it is considered that they are not sufficient, for example, it is suitable for the organization vision Information for constituting the structural unit can also be obtained. That is, in the matching determination step, when the value-oriented score set of the organizational vision and the value-oriented score set of the constituent unit are aligned, for example, a value at which a score difference occurs between the organizational vision and the constituent unit. Intentional category can be extracted. Specifically, for example, referring to the graph of FIG. 5, a large difference occurs in the order of the aesthetic type, the religion type, and the theoretical type. Specifically, for the aesthetic type and the theoretical type, the score X of the organizational vision is large, and for the religion type, the score of the constituent unit is large. For this reason, in order to make the aligned constituent unit a constituent unit that matches the organizational vision, for example, when the constituent unit is a group, the scores of the aesthetic type and the theoretical type are relatively high, and the religious type It is conceivable to add individuals with relatively low scores to members of the group. For this reason, in the determination step, a value-oriented category in which the difference between the scores exceeds a reference value may be determined as an individual value-oriented category to be added to the structural unit.

[Embodiment 3]
An example of an organization vision candidate generating apparatus and an organization vision candidate generating method according to the present invention will be described with reference to the drawings.

  FIG. 6 is a block diagram illustrating an example of the generation device according to the present embodiment. The generation device 3 includes a storage unit 10, a matching score calculation unit 31, and an organization vision candidate generation unit 32. The generation device 3 may further include, for example, a score estimation unit 13, an input unit 14, and an output unit 15. The generation device 3 is also referred to as a generation system, for example. The generation device 3 may be, for example, a single device including the above-described units, or a device to which the above-described units can be connected via a communication network.

  The generation device 3 may include, for example, all of the configurations of the scoring device in the first embodiment or the matching determination device in the second embodiment, or the scoring device in the first embodiment or the matching determination in the second embodiment. It may be connectable to a device.

  The storage unit 10 includes an organization vision storage unit 101 and a configuration unit storage unit 102. The organization vision storage unit 101 stores organization vision data, and specifically, stores the language data of the organization vision sample and the value-directed score set of the organization vision sample in association with each other. The value-oriented score set of the organization vision sample may be, for example, a score set obtained from a questionnaire result as described in the first embodiment, or a score set obtained based on the correlation information. In the latter case, the value-oriented score set is, for example, a score set estimated based on the correlation information in the generation device 3 and may be stored, or may be estimated based on the correlation information in an external device. The acquired score set may be acquired from an external device via the input unit 14 and stored. The constituent unit storage unit 102 stores constituent unit data related to constituent units that constitute an organization. Specifically, a group that is the constituent unit and a value directivity score set of the group are stored in association with each other. . The group is a group composed of a plurality of individuals constituting an organization, and the value-directed score set of the group is an average value-directed score calculated from the value-directed score set of the plurality of individuals as described above. The individual's value-directed score set is represented by a score set, and the individual's value-directed score set is represented by a score set indicating the degree of applicability of the individual to each value-directed category.

  The matching score calculation unit 31 aligns the value-directed score set of the organizational vision sample with the value-directed score set of the group, and calculates a difference between both as a matching score. The matching score calculation unit 31 is the same as the matching score calculation unit of the second embodiment.

  The organization vision candidate generation unit 32 selects an organization vision sample showing a matching score exceeding a reference value as an organization vision candidate suitable for the group.

  In the generation device 3, for example, the storage unit 10 may further include a correlation information storage unit 103, and may further include a score estimation unit 13. The correlation information storage unit 103 stores, for example, correlation information indicating a correlation between language data of an organizational vision and a value-directed score set of the organizational vision. The correlation information is the same as in the first embodiment, and the score estimation model is preferable.

  The score estimating unit 13 uses the language data of the organization vision to be scored, based on the correlation information, and uses the language data of the organization vision sample based on the correlation information, and uses the language information of the organization vision sample based on the correlation information. Estimate the value-oriented score set. The score estimating unit 13 is, for example, the same as in the first embodiment. The estimated value-directed score set is stored in the organization vision storage unit of the storage unit, for example, in association with the organization vision sample.

  In the generation device 3, for example, the configuration unit storage unit 102 includes a personal information storage unit and a group information storage unit, and may further include a group score calculation unit.

  The personal information storage unit stores an individual and a value directivity score set of the individual in association with each other. Further, the group information storage unit stores a group, a plurality of individuals constituting the group, and a value directivity score set of the group in association with each other. The value-oriented score set of the individual and the value-oriented score set of the group are, for example, the same as those in the first embodiment.

  The group score calculation unit calculates an average value directivity score set from the value directivity score sets of a plurality of individuals belonging to the group, for example. The calculated average value directivity score set is stored, for example, in the group information storage unit of the storage unit 10 in association with the group as a value directivity score set of the group.

  The generation device 3 can be connected to, for example, an external device (for example, a database, a server, or the like) storing various data, and the various data stored in the storage unit 10 is, for example, used when the generation device 3 is used. The information may be input from an external device via the input unit 14 and may be stored in the storage unit 10.

  FIG. 7 illustrates a block diagram of a hardware configuration of the generation device 3. The generation device 3 includes, for example, a CPU 201, a memory 202, a bus 203, an input device 204, a display 205, a communication device 206, a storage device 207, and the like. Each unit of the generation device 3 is mutually connected via a bus 203 by each interface (I / F).

  The CPU 201 is a processor that performs overall control of the generation device 3, and is not limited to the CPU, and may be another processor. In the generation device 3, the CPU 201 executes, for example, the program of the present invention and other programs, and reads and writes various information. Specifically, for example, in the generation device 3, the CPU 201 functions as the score estimation unit 13, the matching score calculation unit 31, the organization vision candidate generation unit 32, and the like.

  The generation device 3 can be connected to a communication network by, for example, a communication device 206 connected to the bus 203, and can also be connected to an external device via the communication network. The external device and connection method are not particularly limited, and are the same as, for example, the first embodiment.

  The memory 202 includes, for example, a main memory, and is similar to the first embodiment. The storage device 207 is, for example, the same as in the first embodiment. The storage device 207 stores, for example, the above-described organization vision data 209, constituent unit data 210, correlation information 211 such as an estimated model, and the like.

  The generation device 3 may include, for example, the input device 204 and the display 205 as in the first embodiment.

  Next, a generation method according to the present embodiment will be described. The generation method according to the present embodiment can be implemented using, for example, the organization vision candidate generation device 3 illustrated in FIGS. 6 and 7. Note that the generation method of the present embodiment is not limited to the use of the generation device 3 shown in these drawings.

  The generation method according to the present embodiment uses a data group and includes a matching score calculation step and an organization vision candidate generation step.

  As the data group, for example, a data group stored in the storage device 207 can be used. As described above, the storage device 207 includes, as the data group, the language data of the organization vision sample and the value orientation of the organization vision sample. A gender score set is linked and stored, and a group as a constituent unit and a value directivity score set of the group are linked and stored. The storage device 207 is, for example, the storage unit 10 of the generation device 3, and the various data to be stored are as described above.

  The matching score calculating step aligns the value-directed score set of the organizational vision sample with the value-directed score set of the group, and calculates a difference between both as a matching score. The matching score calculation step can be executed by, for example, the matching score calculation unit 31 of the generation device 3.

  In the organization vision candidate generation step, an organization vision sample showing a matching score exceeding a reference value is selected as an organization vision candidate suitable for the group. The organization vision candidate generation step can be executed by, for example, the organization vision candidate generation unit 32 of the generation device 3.

  In the generation method according to the present embodiment, the storage device 207 further stores correlation information indicating a correlation between the language data of the organizational vision and the value-directed score set of the organizational vision, and may further include a score estimation step. Good. The score estimating step, for example, using language data of the organization vision sample, based on the correlation information, estimates a value-directed score set of the organization vision sample, the estimated value-directed score set is Are stored in the organization vision storage unit 101 of the storage unit 10 in association with the organization vision sample. The score estimation step can be executed by, for example, the score estimation unit 13 of the generation device 3.

  In the generation method according to the present embodiment, for example, the storage device 207 further stores candidate words constituting language data of the organization vision and a value-directed score set of the candidate words in association with each other, and stores the organization vision The candidate generation step includes an initial candidate selection step, a question word search step, and a modification candidate generation step, wherein the initial candidate selection step sets the organization vision sample whose matching score exceeds a reference value as an initial organization vision candidate, The problem word search step, the language data of the initial organizational vision, the word is decomposed into words, based on the value-directed score set of the candidate words, of each of the decomposed words, the cause of the magnitude of the matching score Is a question word, and the alteration candidate generation step includes, for the initial organization vision, Based on the word's value-directed score set, delete the question word, replace the question word with another candidate word, and add another candidate word, and again construct the language data , Generate a new modified organization vision candidate.

  In the generation method of the present embodiment, for example, the storage device 207 stores an individual and a value-directed score set of the individual in association with each other, and stores a group, a plurality of individuals forming the group, The value-directed score set is stored in association with the value-directed score set, and further includes a group score calculating step. The group score calculating step calculates an average value directivity score set from the value directivity score sets of a plurality of individuals belonging to the group, and the calculated average value directivity score set is stored in the group information of the storage unit 10. The storage unit stores the value-directed score set of the group in association with the group.

  As a specific example of the generation method of the present embodiment, a method of using the generation device 3 to modify an organization vision sample and generate an organization vision candidate that matches a specific group as a constituent unit will be described. . Note that these are merely examples, and the present invention is not limited at all.

  As a storage device in which the data group is stored, a personal database (member DB), a database of organizational vision samples (vision sample DB), and a database of candidate words (word DB) are prepared. These databases may be, for example, the storage unit 10 of the generation device 3 or the external device. In the latter case, the generator 3 and the external device may be connected, for example, via a communication network or the like, and necessary data may be input to the generator 3 from the external device.

  As shown in Table 4 (A), the member DB stores an ID and a value-oriented score set in association with each other for members constituting an organization group. As shown in Table 4 (B), the vision sample DB stores an ID, character string data, and a value-oriented score set in association with each other for each of the organizational vision samples. As shown in Table 4 (C), the word DB stores an ID, word data, and a value-oriented score set in association with each other for each of the candidate words.

  First, an average value-oriented score set of the group is calculated from the value-oriented score sets of the members A to D constituting the group stored in the member DB.

  Next, by aligning the value-oriented score set of the organizational vision sample stored in the vision sample DB with the calculated average value-oriented score set of the group, the matching is performed based on Equation 1 shown in FIG. Calculate the score. The smaller the value of the matching score according to Equation 1, the more the match is made. Then, an organizational vision sample whose matching score is equal to or less than the reference value is selected as a primary candidate, and as shown in Table 5 below, a list of primary candidates is displayed on the display 205 or the like in ascending order of the matching score. Output by communication to

  Further, the organization vision sample of the primary candidate is modified to generate an organization vision candidate suitable for the group. FIG. 8 shows a flowchart as an example of the optimization of the organization vision.

  First, an organization vision sample of the primary candidate to be modified is selected from the list. For example, the organization vision sample may be selected in order from the top of the list, or may be selected by the user from the output list. The following description is based on the assumption that the organization vision sample V4 has been selected.

  First, in the step (S01), the loop counter is initialized (k = 0) for the optimization process of the selected tissue vision sample V4. Next, in the step (S02), the character data of the organization vision sample is decomposed for each word (v → w1,... Wn). A group of words obtained by decomposing the selected vision sample V4 is referred to as a word group 0. In step (S03), a value-oriented score set is searched for each word of word group 0 based on the word DB (wi → si). Then, in the step (S04), by adding the value-oriented score sets of all the words included in the organization vision sample V4 and dividing by the number (n) of words, the word group 0 constituting the organization vision sample V4 is obtained. , An average value of the value-oriented score set is obtained (S = (s1 +... Sn) / n).

Next, in a step (S05), a score difference between the average value-oriented score set of the word of the organization vision sample V4 and the value-oriented score set of the group is calculated. Specifically, a score difference between the average value orientation scores of the members A to D (N = 4) in the member DB is calculated (dS = S− (m ₁ +... + _Mn ) / N). .

  In step (S06), the absolute value maximum element is extracted from the calculated score difference. Here, the obtained score difference is represented by six elements of value orientation (element number 1: theory, element number 2: economy, element number 3: aesthetic, element number 4: religion, element number 5: society, element number 6 : Power) (ds1,..., Ds6). The maximum absolute value element max (| ds1 |,..., | Ds6 |) of these score difference vectors is extracted and is set to Δ. At the same time, the selected element number is set to j. Here, the description will be continued assuming that Δ = | ds4 | and j = 4.

  Then, in step (S07), if Δ> T (convergence determination threshold value) and k (loop counter) <L (number of iterations) (YES), in step (S08), the loop counter is counted up (k = k + 1). The convergence determination threshold T is a parameter specified in advance that determines whether the optimum combination of words has been reached by the optimization algorithm, that is, that the optimization has been completed. The number of iterations L is the maximum number of iterations for terminating the optimization iteration when the optimization algorithm does not converge.

  In the step (S09), a problem word is specified from the words of the organization vision sample V4. From the six elements (si1,..., Si6) of the vision score si of the word, the j-th element sij adopted as the absolute value maximum element Δ is extracted, and when dsj> 0, the word wi whose sij is the maximum is taken out. If dsj <0, sij specifies the minimum word wi.

  Step (S10) Of the words of the organizational vision sample V4, the question word is replaced with a candidate word in the word DB. When j = 4, the candidate word is selected by selecting a word having the smallest score difference between the corrected score (si1, si2, si3, si4-ds4, si5, si6) of the problem word. The word group after the replacement of the word group 0 of the organization vision sample V4 with the candidate words is referred to as a word group 1.

For the word group 1 of the organizational vision sample V4 that has been replaced with the candidate word, the calculation of the average value of the value-oriented score set of the word group 1 and thereafter are performed similarly to the word group 0 (steps (S04) to (S04)). S07)). Then, if Δ ≦ T or k ≧ L in step (S07) (NO), in step (S11), the organization vision is reconstructed from the word group at that time. The reconstructed organization vision is determined as an optimized organization vision candidate (secondary candidate, _VOPT ) (S12).

  For example, the optimized organization vision candidate is actually determined by the organization and the target group. Then, when adopted, the language data and the value-oriented score data of the organization vision candidate, and the value-oriented score data of the group and the members may be stored as new data sets. In the case of non-adoption, optimization may be similarly performed on a new primary candidate.

  Further, the employed various data can be used, for example, as a data set for updating the correlation information, and the correlation information updated using the data set is further stored. Further, the adopted word of the organization vision candidate may be further stored in the word DB, for example, and the DB may be updated.

[Embodiment 4]
The program of the present embodiment is a program that can execute each method of the present invention on a computer. Alternatively, the program of the present embodiment may be recorded on, for example, a computer-readable recording medium. The recording medium is not particularly limited, and includes, for example, the above-described storage medium.

  Although the present invention has been described with reference to the exemplary embodiments, the present invention is not limited to the above exemplary embodiments. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.

<Appendix>
Some or all of the above embodiments and examples may be described as the following supplementary notes, but are not limited to the following.
(Appendix 1)
Including a storage unit, a score set generation unit, and a correlation information generation unit,
The storage unit,
Store language data for multiple organizational vision samples,
For a plurality of constituent units constituting an organization, the value-oriented category to which the constituent unit belongs and the presence / absence of sympathy for each of the organizational vision samples are stored in association with each other,
The score set generator,
For the organizational vision sample, for each of the value-oriented categories, count the number of constituent units that are constituent units belonging to the value-directed category and show empathy, and a count set of each value-directed category, Generated as a value-directed score set of the organization vision sample,
The correlation information generator,
For the organizational vision sample, the language data and the value-oriented score set as a data set, to generate correlation information indicating a correlation between the language data and the value-oriented score set,
An organization vision scoring device characterized by the following.
(Appendix 2)
The correlation information is a score estimation model for estimating a value-directed score set of the organization vision sample,
The correlation information generator,
For the organizational vision sample, a score estimation model that indicates a correlation between the language data and the value-oriented score set is generated by machine learning using the language data and the value-directed score set as a learning data set. 2. The scoring device according to 1.
(Appendix 3)
Furthermore, it includes a score estimator,
The score estimator,
The scoring device according to claim 1 or 2, wherein a value-directed score set of the organized vision is estimated based on the correlation information using language data of the organized vision to be scored.
(Appendix 4)
The scoring device according to any one of supplementary notes 1 to 3, wherein the language data is character string data.
(Appendix 5)
The scoring device according to any one of appendices 1 to 4, wherein the value-oriented category includes a theoretical type, an economic type, an aesthetic type, a religion type, a power type, and a social type.
(Appendix 6)
The scoring device according to any one of supplementary notes 1 to 5, wherein the constituent unit is a group of a plurality of individuals constituting an organization or an individual.
(Appendix 7)
Including a storage unit, a score estimation unit, and a matching determination unit,
The storage unit,
A correlation information storage unit, and a configuration unit storage unit,
The correlation information storage unit stores correlation information indicating a correlation between language data of an organizational vision and a value-directed score set of the organizational vision,
The constituent unit storage unit stores a value-directed score set of constituent units constituting the organization,
The score estimator,
Using the linguistic data of the organizational vision to be scored, based on the correlation information, estimate the value-directed score set of the organizational vision,
The matching determination unit,
Judging from the similarity between the value-directed score set of the organizational vision and the value-directed score set of the constituent unit whether or not the organized vision and the constituent unit match;
The value-oriented score set of the organizational vision is:
Regarding the organizational vision, represented by a score set corresponding to a count set of the number of constituent units that are constituent units belonging to each of the value-oriented categories and show empathy,
The value-directed score set of the constituent unit is:
A matching determination device for an organizational vision and a structural unit of an organization, wherein the structural unit is represented by a score set indicating a degree of applicability to each of the value directivity categories.
(Appendix 8)
The correlation information is a score estimation model for estimating a value-directed score set of the organization vision sample,
The matching determination device according to attachment 7, wherein the model is a model generated by machine learning using the language data and the value directivity score set as a learning data set for the organization vision.
(Appendix 9)
The matching determination unit includes a matching score calculation unit and a determination unit,
The matching score calculation unit,
Align the value-directed score set of the organizational vision and the value-directed score set of the constituent unit, and calculate the difference between both as a matching score,
The determination unit includes:
If the matching score is equal to or less than a reference value, it is determined that the in-vivo vision and the structural unit match,
9. The matching determination device according to appendix 7 or 8, wherein when the matching score exceeds a reference value, it is determined that the organizational vision does not match the constituent unit.
(Appendix 10)
The constituent unit is an individual,
The matching determination device according to any one of Supplementary Notes 7 to 9, wherein the value-directed score set of the individual is represented by a score set indicating the degree of the individual corresponding to each value-directed category.
(Appendix 11)
The constituent unit is a group consisting of a plurality of individuals constituting an organization,
The value-directed score set of the group is represented by an average value-directed score set calculated from the value-directed score sets of a plurality of individuals belonging to the group,
11. The matching determination device according to any one of Supplementary notes 7 to 10, wherein the value-directed score set of the individual is represented by a score set indicating the degree of the individual corresponding to each of the value-directed categories.
(Appendix 12)
Including a storage unit, a matching score calculation unit, and an organization vision candidate generation unit,
The storage unit,
Including an organization vision storage unit and a configuration unit storage unit,
The organization vision storage unit stores the language data of the organization vision sample and the value-directed score set of the organization vision sample in association with each other,
The configuration unit storage unit stores a group that is a configuration unit in association with a value-directed score set of the group,
The matching score calculation unit,
Align the value-directed score set of the organizational vision sample and the value-directed score set of the group, calculate the overall difference between the two as a matching score,
The organization vision candidate generation unit,
Selecting an organizational vision sample exhibiting a matching score that exceeds a reference value as a suitable organizational vision candidate for the group;
The value-oriented score set of the organizational vision is:
Regarding the organizational vision, represented by a score set corresponding to a count set of the number of constituent units that are constituent units belonging to each of the value-oriented categories and show empathy,
The group is
A group of individuals that make up an organization.
The value-oriented score set of the group is:
Represented by an average value-directed score set calculated from the value-directed score set of the plurality of individuals,
The organization vision candidate generation device, wherein the individual's value-directed score set is represented by a score set indicating the degree of the individual's applicability to each of the value-directed categories.
(Appendix 13)
The storage unit,
Further, a correlation information storage unit is included,
The correlation information storage unit stores correlation information indicating a correlation between language data of an organizational vision and a value-directed score set of the organizational vision,
Furthermore, it includes a score estimator,
The score estimating unit, using language data of the organization vision sample, based on the correlation information, to estimate a value-directed score set of the organization vision sample,
The estimated value-directed score set is stored in the organization vision storage unit of the storage unit in association with the organization vision sample,
An organization vision candidate generating apparatus according to supplementary note 12.
(Appendix 14)
The storage unit,
In addition, it includes a word storage,
The word storage unit stores a candidate word constituting language data of an organizational vision and a value-directed score set of the candidate word in association with each other,
The organization vision candidate generation unit,
An initial candidate selection unit, a problem word search unit, and a modification candidate generation unit,
The initial candidate selection unit,
The organization vision sample in which the matching score exceeds a reference value, as an initial organization vision candidate,
The question word search unit,
Decomposing the language data of the initial organizational vision into words,
Based on the value-directed score set of the candidate words, of the respective decomposed words, a word that causes the magnitude of the matching score, a question word,
The modification candidate generation unit,
For the initial organizational vision, based on the value-directed score set of the candidate word, delete the question word, replace the problem word with another candidate word, and perform any of the addition of other candidate words, Again, build language data to generate new modified organization vision candidates;
The value-directed score set of the candidate word is:
For the candidate words, each is a constituent unit belonging to the value-oriented category and is represented by a score set corresponding to a count set of the number of constituent units indicating empathy,
13. The organization vision candidate generating apparatus according to supplementary note 12 or 13.
(Appendix 15)
The constituent unit storage unit includes:
Including a personal information storage unit and a group information storage unit,
The personal information storage unit,
An individual and a value-directed score set of the individual are linked and stored,
The value-oriented score set of the individual is represented by a score set indicating a degree of applicability to each value-directed category for the individual,
The group information storage unit,
A group, a plurality of individuals constituting the group, and a value-directed score set of the group are stored in association with each other,
The value-directed score set of the group is represented by an average value-directed score set calculated from the value-directed score sets of a plurality of individuals belonging to the group,
The value-directed score set of the individual is represented by a score set indicating the degree of applicability to each value-directed category for the individual,
Furthermore, it includes a group score calculation unit,
The group score calculation unit,
From the value-directed score set of a plurality of individuals belonging to the group, calculate an average value-directed score set,
15. The supplementary note 12 to 14, wherein the calculated average value directivity score set is stored in the group information storage unit of the storage unit as the value directivity score set of the group in association with the group. For generating organization vision candidates.
(Appendix 16)
Using data sets,
The data group is
Including language data for multiple organizational vision samples,
For a plurality of constituent units constituting the organization, the value-oriented category to which the constituent unit belongs, and including in association with the presence or absence of sympathy with each of the organizational vision samples,
Including a score set generation step, and a correlation information generation step,
The score set generating step includes:
For each of the plurality of organizational vision samples, for each of the value-oriented categories, count the number of structural units that are constituent units belonging to the value-oriented category and show empathy, and count the count set of each value-oriented category. , Generated as a value-directed score set of the organizational vision sample,
The correlation information generating step,
For the organizational vision sample, the language data and the value-oriented score set as a data set, to generate correlation information indicating a correlation between the language data and the value-oriented score set,
An organizational vision scoring method, characterized in that:
(Appendix 17)
The correlation information is a score estimation model for estimating a value-directed score set of the organization vision sample,
The correlation information generating step,
For the organizational vision sample, a score estimation model that indicates a correlation between the language data and the value-oriented score set is generated by machine learning using the language data and the value-directed score set as a learning data set. 16. The scoring method according to item 16.
(Appendix 18)
And further including a score estimation step,
The score estimation step includes:
18. The scoring method according to Supplementary note 16 or 17, wherein a value-directed score set of the organized vision is estimated based on the correlation information using language data of the organized vision to be scored.
(Appendix 19)
19. The scoring method according to any one of supplementary notes 16 to 18, wherein the language data is character string data.
(Appendix 20)
20. The scoring method according to any one of appendices 16 to 19, wherein the value-oriented category includes a theoretical type, an economic type, an aesthetic type, a religion type, a power type, and a social type.
(Appendix 21)
21. The scoring method according to any one of supplementary notes 16 to 20, wherein the constituent unit is a group of a plurality of individuals constituting an organization or an individual.
(Appendix 22)
Using data sets,
The data group is
Language data of the organizational vision, including correlation information indicating a correlation with the value-directed score set of the organizational vision,
Includes a value-oriented score set for the constituent units that make up the organization,
Including a score estimation step, and a matching determination step, wherein the score estimation step includes:
Using the linguistic data of the organizational vision to be scored, based on the correlation information, estimate the value-directed score set of the organizational vision,
The matching determination step includes:
Judging from the similarity between the value-directed score set of the organizational vision and the value-directed score set of the constituent unit whether or not the organized vision and the constituent unit match;
The value-oriented score set of the organizational vision is:
Regarding the organizational vision, represented by a score set corresponding to a count set of the number of constituent units that are constituent units belonging to each of the value-oriented categories and show empathy,
The value-directed score set of the constituent unit is:
A matching determination method between an organizational vision and a structural unit of an organization, wherein the structural unit is represented by a score set indicating a degree of applicability to each value directivity category.
(Appendix 23)
The correlation information is a score estimation model for estimating a value-directed score set of the organization vision sample,
23. The matching determination method according to attachment 22, wherein the model is a model generated by machine learning using the language data and the value-directed score set as a learning data set for the organization vision.
(Appendix 24)
The matching determination step includes a matching score calculation step and a determination step,
The matching score calculation step,
Align the value-directed score set of the organizational vision and the value-directed score set of the constituent unit, and calculate the difference between both as a matching score,
The determining step includes:
If the matching score is equal to or less than a reference value, it is determined that the in-vivo vision and the structural unit match,
24. The matching determination method according to attachment 22 or 23, wherein when the matching score exceeds a reference value, it is determined that the organizational vision does not match the constituent unit.
(Appendix 25)
The constituent unit is an individual,
25. The matching determination method according to any one of Supplementary notes 22 to 24, wherein the value-directed score set of the individual is represented by a score set indicating the degree of the individual corresponding to each value-directed category.
(Supplementary Note 26)
The constituent unit is a group consisting of a plurality of individuals constituting an organization,
The value-directed score set of the group is represented by an average value-directed score set calculated from the value-directed score sets of a plurality of individuals belonging to the group,
26. The matching determination method according to any one of Supplementary Notes 22 to 25, wherein the value-directed score set of the individual is represented by a score set indicating a degree of applicability of the individual to each value-directed category.
(Appendix 27)
Using a data group, the data group is:
The language data of the organizational vision sample and the value-oriented score set of the organizational vision sample are included in association with each other,
Includes a group that is a constituent unit and a value-directed score set of the group in association
Including a matching score calculation step and an organization vision candidate generation step,
The matching score calculation step,
Align the value-directed score set of the organizational vision sample and the value-directed score set of the group, calculate the overall difference between the two as a matching score,
The organization vision candidate generation step,
Selecting an organizational vision sample exhibiting a matching score that exceeds a reference value as a suitable organizational vision candidate for the group;
The value-oriented score set of the organizational vision is:
Regarding the organizational vision, represented by a score set corresponding to a count set of the number of constituent units that are constituent units belonging to each of the value-oriented categories and show empathy,
The group is
A group of individuals that make up an organization.
The value-oriented score set of the group is:
Represented by an average value-directed score set calculated from the value-directed score set of the plurality of individuals,
The method for generating an organizational vision candidate, wherein the value-oriented score set of the individual is represented by a score set indicating the degree of the individual corresponding to each of the value-oriented categories.
(Appendix 28)
The data group is
Further, the language data of the organizational vision, including correlation information indicating a correlation with the value-oriented score set of the organizational vision,
And further including a score estimation step,
The score estimating step, using language data of the organization vision sample, based on the correlation information, to estimate a value-directed score set of the organization vision sample,
The estimated value-directed score set is stored in the organization vision storage unit of the storage unit in association with the organization vision sample,
A method for generating an organization vision candidate according to attachment 27.
(Appendix 29)
The data group is
Further, a candidate word constituting the language data of the organizational vision, and a value-directed score set of the candidate word are linked and included,
The organization vision candidate generation step,
Including an initial candidate selection step, a question word search step, and a modification candidate generation step,
The initial candidate selection step,
The organization vision sample in which the matching score exceeds a reference value, as an initial organization vision candidate,
The question word search step includes:
Decomposing the language data of the initial organizational vision into words,
Based on the value-directed score set of the candidate words, of the respective decomposed words, a word that causes the magnitude of the matching score, a question word,
The modification candidate generation step,
For the initial organizational vision, based on the value-directed score set of the candidate word, delete the question word, replace the problem word with another candidate word, and perform any of the addition of other candidate words, Again, build language data to generate new modified organization vision candidates;
The value-directed score set of the candidate word is:
For the candidate words, each is a constituent unit belonging to the value-oriented category and is represented by a score set corresponding to a count set of the number of constituent units indicating empathy,
The design method of the organization vision candidate according to Supplementary Note 27 or 28.
(Appendix 30)
The data group is
Including the individual and the individual's value-directed score set in association,
The value-oriented score set of the individual is represented by a score set indicating a degree of applicability to each value-directed category for the individual,
A group, a plurality of individuals constituting the group, and a value-directed score set of the group are stored in association with each other,
The value-directed score set of the group is represented by an average value-directed score set calculated from the value-directed score sets of a plurality of individuals belonging to the group,
The value-directed score set of the individual is represented by a score set indicating the degree of applicability to each value-directed category for the individual,
The method further includes a group score calculation step,
The group score calculation step,
From the value-directed score set of a plurality of individuals belonging to the group, calculate an average value-directed score set,
30. The supplementary note 27 to 29, wherein the calculated average value directivity score set is stored in the group information storage unit of the storage unit as the value directivity score set of the group in association with the group. How to generate an organizational vision candidate.
(Appendix 31)
A program for causing a computer to execute the method according to any one of supplementary notes 16 to 31.
(Supplementary Note 32)
A computer-readable recording medium recording the program according to Supplementary Note 31.

Reference Signs List 1 scoring device 10 storage unit 101 organization vision storage unit 102 constituent unit storage unit 103 correlation information storage unit 11 score set generation unit 12 correlation information generation unit 13 score estimation unit 14 input unit 15 output unit 201 CPU
202 Memory 203 Bus 204 Input device 205 Display 206 Communication device 207 Storage device 208 Program 209 Organization vision data 210 Composition unit data 211 Correlation information 2 Matching determination device 21 Matching determination unit 3 Organization vision candidate generation device 31 Matching score calculation unit 32 Organization Vision candidate generator

Claims (10)

Including a storage unit, a score set generation unit, and a correlation information generation unit,
The storage unit,
Store language data for multiple organizational vision samples,
For a plurality of constituent units constituting an organization, the value-oriented category to which the constituent unit belongs and the presence / absence of sympathy for each of the organizational vision samples are stored in association with each other,
The score set generator,
For the organizational vision sample, for each of the value-oriented categories, count the number of constituent units that are constituent units belonging to the value-directed category and show empathy, and a count set of each value-directed category, Generated as a value-directed score set of the organization vision sample,
The correlation information generator,
For the organizational vision sample, the language data and the value-oriented score set as a data set, to generate correlation information indicating a correlation between the language data and the value-oriented score set,
An organization vision scoring device characterized by the following. The correlation information is a score estimation model for estimating a value-directed score set of the organization vision sample,
The correlation information generator,
For the organizational vision sample, a score estimation model showing a correlation between the language data and the value-oriented score set is generated by machine learning using the language data and the value-directed score set as a learning data set. Item 1. The scoring device according to Item 1. Including a storage unit, a score estimation unit, and a matching determination unit,
The storage unit,
A correlation information storage unit, and a configuration unit storage unit,
The correlation information storage unit stores correlation information indicating a correlation between language data of an organizational vision and a value-directed score set of the organizational vision,
The constituent unit storage unit stores a value-directed score set of constituent units constituting the organization,
The score estimator,
Using the linguistic data of the organizational vision to be scored, based on the correlation information, estimate the value-directed score set of the organizational vision,
The matching determination unit,
Judging from the similarity between the value-directed score set of the organizational vision and the value-directed score set of the constituent unit whether or not the organized vision and the constituent unit match;
The value-oriented score set of the organizational vision is:
Regarding the organizational vision, represented by a score set corresponding to a count set of the number of constituent units that are constituent units belonging to each of the value-oriented categories and show empathy,
The value-directed score set of the constituent unit is:
A matching determination device for an organizational vision and a structural unit of an organization, wherein the structural unit is represented by a score set indicating a degree of applicability to each of the value directivity categories. The correlation information is a score estimation model for estimating a value-directed score set of the organization vision sample,
4. The matching determination device according to claim 3, wherein the model is a model generated by machine learning using the language data and the value-directed score set for the organization vision as a learning data set. The matching determination unit includes a matching score calculation unit and a determination unit,
The matching score calculation unit,
Align the value-directed score set of the organizational vision and the value-directed score set of the constituent unit, and calculate the difference between both as a matching score,
The determination unit includes:
If the matching score is equal to or less than a reference value, it is determined that the in-vivo vision and the structural unit match,
The matching determination device according to claim 3, wherein when the matching score exceeds a reference value, it is determined that the organizational vision does not match the constituent unit. Including a storage unit, a matching score calculation unit, and an organization vision candidate generation unit,
The storage unit,
Including an organization vision storage unit and a configuration unit storage unit,
The organization vision storage unit stores the language data of the organization vision sample and the value-directed score set of the organization vision sample in association with each other,
The configuration unit storage unit stores a group that is a configuration unit in association with a value-directed score set of the group,
The matching score calculation unit,
Align the value-directed score set of the organizational vision sample and the value-directed score set of the group, calculate the overall difference between the two as a matching score,
The organization vision candidate generation unit,
Selecting an organizational vision sample exhibiting a matching score that exceeds a reference value as a suitable organizational vision candidate for the group;
The value-oriented score set of the organizational vision is:
Regarding the organizational vision, represented by a score set corresponding to a count set of the number of constituent units that are constituent units belonging to each of the value-oriented categories and show empathy,
The group is
A group of individuals that make up an organization.
The value-oriented score set of the group is:
Represented by an average value-directed score set calculated from the value-directed score set of the plurality of individuals,
The organization vision candidate generation device, wherein the individual's value-directed score set is represented by a score set indicating the degree of the individual's applicability to each of the value-directed categories. The storage unit,
In addition, it includes a word storage,
The word storage unit stores a candidate word constituting language data of an organizational vision and a value-directed score set of the candidate word in association with each other,
The organization vision candidate generation unit,
An initial candidate selection unit, a problem word search unit, and a modification candidate generation unit,
The initial candidate selection unit,
The organization vision sample in which the matching score exceeds a reference value, as an initial organization vision candidate,
The question word search unit,
Decomposing the language data of the initial organizational vision into words,
Based on the value-directed score set of the candidate words, of the respective decomposed words, a word that causes the magnitude of the matching score, a question word,
The modification candidate generation unit,
For the initial organizational vision, based on the value-directed score set of the candidate word, delete the question word, replace the problem word with another candidate word, and perform any of the addition of other candidate words, Again, build language data to generate new modified organization vision candidates;
The value-directed score set of the candidate word is:
For the candidate words, each is a constituent unit belonging to the value-oriented category and is represented by a score set corresponding to a count set of the number of constituent units indicating empathy,
An apparatus for generating an organization vision candidate according to claim 6. Using data sets,
The data group is
Including language data for multiple organizational vision samples,
For a plurality of constituent units constituting the organization, the value-oriented category to which the constituent unit belongs, and including in association with the presence or absence of sympathy with each of the organizational vision samples,
Including a score set generation step, and a correlation information generation step,
The score set generating step includes:
For each of the plurality of organizational vision samples, for each of the value-oriented categories, count the number of structural units that are constituent units belonging to the value-oriented category and show empathy, and count the count set of each value-oriented category. , Generated as a value-directed score set of the organizational vision sample,
The correlation information generating step,
For the organizational vision sample, the language data and the value-oriented score set as a data set, to generate correlation information indicating a correlation between the language data and the value-oriented score set,
An organizational vision scoring method, characterized in that: Using data sets,
The data group is
Language data of the organizational vision, including correlation information indicating a correlation with the value-directed score set of the organizational vision,
Includes a value-oriented score set for the constituent units that make up the organization,
Including a score estimation step, and a matching determination step, wherein the score estimation step includes:
Using the linguistic data of the organizational vision to be scored, based on the correlation information, estimate the value-directed score set of the organizational vision,
The matching determination step includes:
Judging from the similarity between the value-directed score set of the organizational vision and the value-directed score set of the constituent unit whether or not the organized vision and the constituent unit match;
The value-oriented score set of the organizational vision is:
Regarding the organizational vision, represented by a score set corresponding to a count set of the number of constituent units that are constituent units belonging to each of the value-oriented categories and show empathy,
The value-directed score set of the constituent unit is:
A matching determination method between an organizational vision and a structural unit of an organization, wherein the structural unit is represented by a score set indicating a degree of applicability to each value directivity category. Using a data group, the data group is:
The language data of the organizational vision sample and the value-oriented score set of the organizational vision sample are included in association with each other,
Includes a group that is a constituent unit and a value-directed score set of the group in association with each other,
Including a matching score calculation step and an organization vision candidate generation step,
The matching score calculation step,
Align the value-directed score set of the organizational vision sample and the value-directed score set of the group, calculate the overall difference between the two as a matching score,
The organization vision candidate generation step,
Selecting an organizational vision sample exhibiting a matching score that exceeds a reference value as a suitable organizational vision candidate for the group;
The value-oriented score set of the organizational vision is:
Regarding the organizational vision, represented by a score set corresponding to a count set of the number of constituent units that are constituent units belonging to each of the value-oriented categories and show empathy,
The group is
A group of individuals that make up an organization.
The value-oriented score set of the group is:
Represented by an average value-directed score set calculated from the value-directed score set of the plurality of individuals,
The method for generating an organizational vision candidate, wherein the value-oriented score set of the individual is represented by a score set indicating the degree of the individual corresponding to each of the value-oriented categories.

Images