JP7226756B2 - Tissue potential prediction device, prediction method, program, and recording medium - Google Patents

Description

The present invention relates to a tissue potential prediction device, a prediction method, a program, and a recording medium.

In an organization such as a company, data on personnel affairs is grasped, and further, questionnaires are periodically conducted for individuals such as employees belonging to the organization. However, both personnel-related data and questionnaires remain tools for grasping the current state of the organization.

A system for analyzing employee satisfaction with an organization has also been proposed (Patent Document 1). However, this system is also just a system for grasping the current state.

Japanese Patent Application Publication No. 2016-524230

On the other hand, it is important for an organization to understand the current situation, but it is also extremely important to predict future conditions and take measures in advance.

Accordingly, an object of the present invention is to provide a prediction system for predicting organizational performance in order to prepare for the future and take measures in advance.

In order to achieve the above object, the tissue potential prediction device of the present invention comprises:
having a storage unit, a computable data conversion unit, a prediction unit, a display data conversion unit, and an output unit;
The storage unit
A unit that stores personnel-related data of an organization and questionnaire data of individuals belonging to the organization;
The computable data conversion unit
a unit that converts the personnel-related data and the questionnaire data into calculable data that can be calculated;
The prediction unit
A unit that calculates, as calculable data, a prediction result of the potential of the organization after a certain period of time from the calculable data derived from the personnel-related data and the calculable data derived from the questionnaire data,
The display data conversion unit
a unit that converts computable data about the prediction result of the potential into display data about the potential;
The output unit
A unit that outputs the converted display data,
The predicted result of the potential of the organization after a certain period of time is at least one of the potential of the individual belonging to the organization and the potential of the organization to which the plurality of individuals belong.

The tissue potential prediction method of the present invention comprises:
having a storage step, a computable data conversion step, a prediction step, a display data conversion step, and an output step;
The storing step includes:
storing personnel-related data of an organization and questionnaire data of individuals belonging to said organization;
The computable data conversion step includes:
converting said personnel-related data and said questionnaire data into computable data that can be calculated;
The prediction step includes
calculating a predicted result of the potential of the organization after a certain period of time as calculable data from the calculable data derived from the personnel-related data and the calculable data derived from the questionnaire data;
The display data conversion step includes:
transforming computable data about predicted results of the potential into display data about the potential;
The output step includes
outputting the converted display data;
The predicted result of the potential of the organization after a certain period of time is at least one of the potential of the individual belonging to the organization and the potential of the organization to which the plurality of individuals belong.

A program of the present invention causes a computer to execute the tissue potential prediction method of the present invention.

The recording medium of the present invention is computer-readable, recording the program of the present invention.

According to the present invention, future tissue potential can be predicted. Therefore, based on the prediction results, for example, it is possible to grasp the risks of the organization and the strengths of the organization and take countermeasures in advance.

FIG. 1 is a block diagram showing an example of a prediction device according to Embodiment 1. FIG. FIG. 2 is a block diagram showing another example of the prediction device of Embodiment 1. FIG. FIG. 3 is a flow chart showing an example of a prediction method according to the first embodiment. FIG. 4 is a schematic diagram showing an example of part of the prediction device of Embodiment 1. FIG. FIG. 5 is a schematic diagram showing an example of part of the prediction device of Embodiment 1. FIG. FIG. 6 is a schematic diagram showing an example of part of the prediction device of Embodiment 1. FIG. FIG. 7 is a block diagram illustrating an example of a prediction device according to the second embodiment; FIG. 8 is a schematic diagram showing an example of part of the prediction device of Embodiment 2. FIG. FIG. 9 is a schematic diagram showing an example of the engine structure of the prediction device in the third embodiment. 10 is a schematic diagram illustrating an example of a hardware configuration of a prediction device in Embodiment 1. FIG.

In the prediction device of the present invention, for example, the storage unit further stores the calculable data derived from the personnel-related data and the calculable data derived from the questionnaire data converted by the calculable data conversion unit.

In the prediction device of the present invention, for example, the calculable data conversion unit converts the personnel-related data and the questionnaire data into calculable data using an arbitrary conversion parameter, and the display data conversion unit Optional transformation parameters transform computable data about predicted results of the potential into display data about the potential.

In the prediction device of the present invention, for example, the prediction unit uses an arbitrary time-driven parameter (also referred to as a time parameter) to extract a fixed number of an organization from the calculable data derived from the personnel-related data and the calculable data derived from the questionnaire data. Calculate the prediction result of the potential after the period as computable data.

In the prediction device of the present invention, for example, the display data conversion unit converts calculable data regarding the prediction result of the potential into display data regarding the potential using an arbitrary conversion parameter.

In the prediction device of the present invention, for example, the display data related to the potential are job satisfaction, relationships with colleagues, relationships with superiors, organizational culture, engagement, job fulfillment, trust in the organization, teamwork, and relationships with colleagues. It is at least one data selected from the group consisting of trust, reliance on the boss, trust in the boss, convincingness of work, convincingness of evaluation, openness, and activities for the company.

The prediction device of the present invention, for example, further includes a parameter updating unit, the parameter updating unit stores the calculable data _z0 at an arbitrary time in the storage unit, and further, for a certain period from the time When the calculable data _z1 after the lapse is stored, the calculable data _z1 is used as the correct prediction data, and a new time driving parameter is calculated from the calculable data _z0 and the calculable data _z1 . This is the part that calculates and updates.

In the prediction method of the present invention, for example, the storing step further stores the calculable data derived from the personnel-related data and the calculable data derived from the questionnaire data converted by the calculable data converting step.

In the prediction method of the present invention, for example, the calculable data conversion step converts the personnel-related data and the questionnaire data into calculable calculable data using arbitrary conversion parameters, and the display data conversion step includes: Optional transformation parameters transform computable data about predicted results of the potential into display data about the potential.

In the prediction method of the present invention, for example, the prediction step predicts the potential of the organization after a certain period of time from the calculable data derived from the personnel-related data and the calculable data derived from the questionnaire data, using an arbitrary time-driven parameter. Calculate the result as computable data.

In the prediction method of the present invention, for example, the display data conversion step converts calculable data regarding the prediction result of the potential into display data regarding the potential using an arbitrary conversion parameter.

In the prediction method of the present invention, for example, the display data related to the potential includes job satisfaction, relationships with colleagues, relationships with superiors, organizational culture, engagement, job fulfillment, trust in the organization, teamwork, and relationships with colleagues. It is at least one data selected from the group consisting of trust, reliance on the boss, trust in the boss, convincingness of work, convincingness of evaluation, openness, and activities for the company.

The prediction method of the present invention, for example, further includes a parameter updating step, in which the calculable data _z0 at an arbitrary point in time is stored in the storing step, and further, for a certain period from the point in time When the calculable data _z1 after the lapse is stored, the calculable data _z1 is used as the correct prediction data, and a new time driving parameter is calculated from the calculable data _z0 and the calculable data _z1 . Calculate and update.

In the present invention, the term "organization" is not particularly limited, and examples thereof include organizations in which a plurality of individuals cooperate, corporations such as companies, government offices, hospitals, local communities, and the like. The organizational unit is not particularly limited, and may be, for example, a company, or a department or group in a company.

In the present invention, "personnel-related data" is data related to personnel affairs in an organization, and is not particularly limited. Education attendance information, etc. can be given.

In the present invention, "questionnaire data" is the content of responses to a questionnaire for an individual's organization, and the items of the questionnaire are not particularly limited. Sincerity to work, personality, atmosphere in the workplace, mental load, busyness at work, relationship with colleagues, etc.

In the present invention, the “organizational potential” may be, for example, the potential of individuals belonging to the organization, or the potential of the organization itself in which the individuals are gathered. Examples of individual potential include engagement with the company, job satisfaction, organizational commitment, confidence in work, sense of meaning, and self-efficacy. degree, job characteristics, organizational culture, and relationships with superiors and colleagues.

"Engagement" means, for example, an individual's attachment to an organization, "Job satisfaction" means, for example, an individual's satisfaction with a job in an organization, and "Labor productivity" means, for example, It means the efficiency and effectiveness of an individual's work. "Retirement rate" means, for example, the rate of retirement of individuals belonging to an organization. "Organizational commitment" means, for example, an individual's favorability towards an organization.

Next, an embodiment of the present invention will be described. In addition, this invention is not limited to the following embodiment. In addition, in the following figures, the same reference numerals are given to the same parts. Also, the descriptions of the respective embodiments can be referred to each other's description unless otherwise specified. Furthermore, the configuration of each embodiment can be combined unless otherwise specified.

[Embodiment 1]
FIG. 1 is a block diagram showing the configuration of an example of a tissue potential prediction device 10 according to the present embodiment. The prediction device 10 has a storage unit 11 , a computable data conversion unit 12 , a prediction unit 13 , a display data conversion unit 14 and an output unit 15 . The prediction device 10 may be, for example, one device including the above units, or may be a device in which the above units can be connected via a communication network. The prediction device 10 is also called a prediction system, for example.

The storage unit 11 is a unit that stores personnel-related data of an organization and questionnaire data of individuals belonging to the organization. The personnel-related data and the questionnaire data are preferably stored in the storage unit 11, for example, each time new data is obtained. Further, the storage unit 11 preferably stores calculable data derived from the personnel-related data and calculable data derived from the questionnaire data converted by the calculable data conversion unit 12, which will be described later.

For example, the prediction device 10 further has an input unit, through which personnel-related data of an organization and questionnaire data of individuals belonging to the organization are input, and stored in the storage unit 11 .

The calculable data conversion unit 12 is a unit that converts the personnel-related data and the questionnaire data into calculable data. The conversion to the computable data can use, for example, arbitrary conversion parameters.

The prediction unit 13 is a unit that calculates, as calculable data, a prediction result of the potential of the organization after a certain period of time from the calculable data derived from the personnel-related data and the calculable data derived from the questionnaire data. Calculation of the prediction result can use, for example, any time driven parameter.

The display data conversion unit 14 is a unit that converts calculable data regarding the prediction result of the potential into display data regarding the potential. Arbitrary conversion parameters, for example, can be used to convert the potential into display data.

The output unit 15 is a unit that outputs the converted display data. For example, when the prediction device 10 has a display unit such as a display, the output unit 15 can output the display data to the display unit. Also, as will be described later, the output unit 15 may output the display data to an external device, for example.

FIG. 2 shows an example of a specific configuration of the prediction device 10. As shown in FIG. FIG. 2 is a block diagram of the prediction device 10. The storage unit 11 stores personnel-related data 111, questionnaire data 112, personnel-related data-derived calculable data 113, and questionnaire-data-derived calculable data 114. FIG.

The prediction device 10 of this embodiment may have, for example, a server and a terminal, and the server and the terminal may be connectable via a network. The network is, for example, a communication line network, is not particularly limited, and can use a known computer network, and may be wired or wireless, for example. Examples of the network include Internet lines, telephone lines, LANs (Local Area Networks), and the like. When the prediction device 10 has the server and the terminal, for example, each of the units may be included in either the server or the terminal, and activated as the device via a network.

FIG. 10 illustrates a block diagram of the hardware configuration of the prediction device 10. As shown in FIG. The prediction device 10 has, for example, a CPU (Central Processing Unit) 101, a memory 102, an interface (I/F) 103, an input device 104, a display 105, a communication device 106, a storage device 107, and the like. The memory 102, I/F 103 and storage device 107 are connected to the CPU 101 by, for example, a communication bus. For example, an input device 104, a display 105, a communication device 106, and the like are connected to the I/F 103. FIG. In the hardware configuration, internal communication between circuits is connected by, for example, a bus.

The CPU 101 is responsible for overall control of the prediction device 10 . In the prediction device 10, the CPU 101 executes, for example, the program of the present invention and other programs, and reads and writes various information. Specifically, in the prediction device 10 , for example, the CPU 101 functions as a computable data conversion unit 12 , a prediction unit 13 , and a display data conversion unit 14 .

The I/F 103 connects the functional units such as the CPU 101 and the memory 102 described above, for example. Also, the I/F 103 can be connected to an external device such as a terminal, for example. The prediction device 10 can be connected to a communication network through the communication device 106 connected to the I/F 103, and can also be connected to the external device via the communication network. For example, when the prediction device 10 outputs the display data to the external device, the I/F 103 or the I/F 103 and the communication device 106 function as the output unit 15 .

The memory 102 includes, for example, main memory, which is also referred to as main memory. When the CPU 101 performs processing, for example, the memory 102 reads various programs such as the program of the present invention stored in an auxiliary storage device to be described later, and the CPU 101 receives data from the memory 102 and Run the program. The main memory is, for example, RAM (random access memory). Memory 102, for example, further includes a ROM (Read Only Memory).

The storage device 107 is also called a so-called auxiliary storage device, for example, in contrast to the main memory (main storage device). Storage device 107 stores various data (111 to 114) such as personnel-related data 111 as storage unit 11, for example. The storage device 107 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, and may be, for example, a built-in type or an external type. A DVD, a flash memory, a memory card, etc. can be cited, and the drive is not particularly limited. The storage device 107 can also be exemplified by a hard disk drive (HDD) in which a storage medium and a drive are integrated, for example. The storage device 107 stores, for example, an operation program such as the program of the present invention. As described above, the memory 102 reads the operation program from the storage device 107 when the CPU 101 is executed.

The display 105 is, for example, an LED display, a liquid crystal display, or the like, and serves as the display unit. The input device 104 is, for example, a touch panel, keyboard, or the like.

Next, the tissue potential prediction method of this embodiment will be described with reference to FIGS. 3 to 6. FIG. FIG. 3 is a flow chart of the prediction method, and FIGS. The prediction method of this embodiment can be implemented as follows using the prediction apparatus 10 of this embodiment shown in FIG.1 and FIG.2, for example. Note that the prediction method of this embodiment is not limited to the use of the prediction device 10 of FIGS. 1 and 2 .

(A1) Storage step The storage step stores the input personnel-related data of the organization and questionnaire data of individuals belonging to the organization. The personnel-related data and questionnaire data may be stored, for example, as numerical data x, and this numerical data x can be used in the next step, the computable data conversion step. If information is insufficient for conversion to numerical data x, it is preferable to collect information through periodic questionnaires, for example, and use it for conversion to numerical data.

(A2) Computable Data Conversion Step The computable data conversion step converts the personnel-related data and the questionnaire data (for example, the aforementioned numerical data x) into computable data z. The conversion into computable data z is performed in a computable data conversion unit 12, for example, as shown in the schematic diagram of FIG.

Specifically, for example, first, using the parameter F (factor loading) and the parameter D (independence) as pre-calculated input transformation parameters, calculate z and u by the equation "x = Fz + Du" do. Of the calculated data, u is discarded because it is not used, and z is made computable data. Computable data z is stored in storage unit 11 . Calculation of parameters F and D can be obtained, for example, by factor analysis. The parameters may be stored in the storage unit 11, for example. Further, in the computable data conversion step, for example, it is preferable to reduce the number of components of each vector (eg, x, z, u) because the probability of correct prediction can be improved.

(A3) Prediction step In the prediction step, the prediction result of the potential of the organization after a certain period of time is calculated as calculable data from the calculable data derived from the personnel-related data and the calculable data derived from the questionnaire data. Calculation of the computable data z' of the prediction result is performed, for example, in the prediction unit 13 as shown in the schematic diagram of FIG.

Specifically, for example, a parameter A is used as a pre-calculated time propulsion parameter, and prediction after a certain period of time (for example, one year later) is performed. The time driving parameter means, for example, the degree of influence of the measured explanatory variables on the explanatory variables one year later. The explanatory variable is, for example, display data described later. Parameter A can be set in advance by, for example, optimization, learning, or the like. For the prediction, for example, linear prediction can be adopted, and calculable data z' of the prediction result can be calculated from the linear formula "z'=Az" using the regression coefficient A as a parameter. Regression analysis, for example, can be used to calculate the parameter A of linear prediction. The prediction is not limited to the linear prediction, for example, and any known method can be adopted.

In the prediction step, the type of calculable data z used is not particularly limited, and can be appropriately determined according to the item to be finally predicted.

(A4) Display Data Conversion Step The display data conversion step converts calculable data regarding the prediction result of the potential into display data regarding the potential. Calculation of the display data y is performed, for example, in the display data conversion unit 14 as shown in the schematic diagram of FIG.

Specifically, for example, parameters V and D are used as display transformation parameters calculated in advance, and transformable data z' of prediction results is transformed into display data y. Items of the display data y to be converted are not particularly limited, and include, for example, productivity, satisfaction, and engagement. The display transform can, for example, use parameters V and D to calculate the display data y from the factor equation "y=Vz'+Du". In the above equation, the parameter u is an invariant part of the display data and can also be pre-computed. Factor analysis, for example, can be used to calculate the parameters.

(A5) Outputting step The outputting step outputs the display data. The display data can be output by, for example, converting the data format according to the output destination display medium (for example, browser).

[Embodiment 2]
In this embodiment, the prediction device 20 further has a parameter updater. FIG. 7 shows a block diagram of the prediction device 20. As shown in FIG.

In the prediction device 20, the parameter updating unit 16 stores the calculable data _z0 at an arbitrary time in the storage unit 11, and further stores the calculable data _z1 after a certain period of time has passed from the time. and a section that uses the calculable data _z1 as correct prediction data, calculates and updates a new temporal propulsion parameter from the calculable data _z0 and the calculable data _z1 . The prediction device 20 is the same as the prediction device 10 of the first embodiment except that it has a parameter updater 16 .

In the prediction method of the present embodiment, the parameter update step is the storage step, in which the calculable data _z0 at an arbitrary point in time is stored, and the calculable data _z1 after a certain period of time from the point in time is stored. Then, the calculable data _z1 is used as predicted correct data, and a new time propulsion parameter is calculated and updated from the calculable data _z0 and the calculable data _z1 . The prediction method of this embodiment is the same as the prediction method of the first embodiment except that it has the parameter update step.

The parameter update process is performed, for example, in the parameter update unit 16 as shown in the schematic diagram of FIG.

Specifically, for example, when two calculable data z ₀ and z ₁ are stored in the storage unit 11, according to the following equation, the predicted value Az ₀ and the actual value z ₁ based on the existing temporal propulsion parameter and calculate a new temporal driving parameter A′ using the existing temporal driving parameter A, the error R, and the pseudo-inverse matrix z ₀ ⁻¹ of the computable data z ₀ . Then, the original temporal driving parameter A is stored in the storage unit 11 as a new temporal driving parameter A', and the new updated temporal driving parameter A' is used for the next prediction.
R=z ₁ -Az ₀
A′=A+Rz ₀ ⁻¹

[Embodiment 3]
A specific example of the structure of the engine of the prediction device 20 in this embodiment is shown in FIG.

In the prediction device and prediction method of the present invention, the starting data may be, for example, both personnel-related data and questionnaire data, or only questionnaire data. In the latter case, for example, the correlation between the personnel-related data and each item in the questionnaire data is obtained, and if the correlation exceeds a threshold, the predetermined item in the questionnaire data can be replaced with the existing personnel-related data. is. In FIG. 9, the measurement items are, for example, data of predetermined items in the questionnaire data, or personnel-related data replaced from the questionnaire data based on the correlation. In the measurement item, n is a positive integer and is not limited.

Numerical data relating to the measurement items are converted into calculable data and stored as latent variables in the calculable data conversion step, as described above. The number of latent variables is not particularly limited and is n (positive integer). In FIG. 9, the number is from 1 to 11 as an example, but is not limited to this, and is from 1 to 15, for example.

Then, in the prediction step, for example, based on the latent variables that are the computable data, future latent variables for a certain period of time are calculated by linear prediction using parameters (for example, model coefficients).

Then, in the display data conversion step, explanatory variables, which are display data, are calculated using parameters (factor loadings) based on the future latent variables, for example. The explanatory variables are, for example, variables that are directly measured by a questionnaire or the like (also referred to as detailed variables), or variables that aggregate the directly measured variables (also referred to as summary variables), as described above. Specific examples of the explanatory variables include job satisfaction, relationships with colleagues, relationships with superiors, organizational culture, engagement, job fulfillment, trust in the organization, teamwork, trust in colleagues, Reliability of the boss, trust in the boss, acceptance of work, acceptance of evaluation, good openness, and activities for the company. The display data is not particularly limited and can be appropriately set according to the purpose.

[Embodiment 4]
A program of the present embodiment is a program capable of executing the prediction method of each of the above embodiments on a computer. The prediction device and prediction method of the present invention can be realized by installing the program of this embodiment in a computer and executing it. In this case, the CPU of the computer functions as, for example, the storage section, the calculable data conversion section, the prediction section, the display data conversion section, and the output section, and performs processing.

The computer includes, for example, a CPU, a main memory, a storage device, an interface (I/F), a display controller, a data reader/writer, and a communication interface (communication device), as described above. These units are connected to each other via a bus so as to be able to communicate with each other.

The CPU expands the programs (codes) of the present embodiment stored in the storage section into the main memory and executes them in a predetermined order to perform various calculations. The main memory is generally a volatile storage unit such as a DRAM (Dynamic Random Access Memory). The program can be provided in a state stored in a computer-readable recording medium. The program may be distributed on the Internet connected via the communication interface, for example.

Examples of the storage unit include semiconductor storage devices such as hard disk drives and flash memories, as described above. The input interface mediates data transmission between the CPU and an input unit. The input unit includes, for example, a keyboard and a mouse. The display controller, for example, is connected to the display device and controls display on the display device.

The data reader/writer mediates data transmission between the CPU and the recording medium, reads the program from the recording medium, and writes the processing result of the computer to the recording medium. The communication interface mediates data transmission between the CPU and other computers.

The recording medium is, for example, a computer-readable recording medium such as read-only memory (ROM), hard disk (HD), optical disk, floppy (registered trademark) disk (FD), and the like.

The prediction device may be, for example, a computer in which a program is installed, or may be implemented using hardware corresponding to each unit. Also, the prediction device may be partially implemented by a program and the rest by hardware, for example.

Although the present invention has been described with reference to the embodiments, the present invention is not limited to the above 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.

Some or all of the above-described embodiments and examples can be described as in the following appendices, but are not limited to the following.
(Appendix 1)
having a storage unit, a computable data conversion unit, a prediction unit, a display data conversion unit, and an output unit;
The storage unit
A unit that stores personnel-related data of an organization and questionnaire data of individuals belonging to the organization;
The computable data conversion unit
a unit that converts the personnel-related data and the questionnaire data into calculable data that can be calculated;
The prediction unit
A unit that calculates, as calculable data, a prediction result of the potential of the organization after a certain period of time from the calculable data derived from the personnel-related data and the calculable data derived from the questionnaire data,
The display data conversion unit
a unit that converts computable data about the prediction result of the potential into display data about the potential;
The output unit
A unit that outputs the converted display data,
An organizational potential prediction device, wherein the predicted result of the potential of the organization after a certain period of time is at least one of the potential of an individual belonging to the organization and the potential of an organization to which the plurality of individuals belong.
(Appendix 2)
The prediction device according to appendix 1, wherein the storage unit further stores the calculable data derived from the personnel-related data and the calculable data derived from the questionnaire data converted by the calculable data conversion unit.
(Appendix 3)
The calculable data conversion unit converts the personnel-related data and the questionnaire data into calculable data using an arbitrary conversion parameter,
3. The prediction device according to appendix 1 or 2, wherein the display data conversion unit converts calculable data regarding prediction results of the potential into display data regarding the potential using an arbitrary conversion parameter.
(Appendix 4)
The prediction unit calculates, as calculable data, a prediction result of the potential of the organization after a certain period of time from the calculable data derived from the personnel-related data and the calculable data derived from the questionnaire data, using an arbitrary time parameter. 4. The prediction device according to any one of 1 to 3.
(Appendix 5)
5. The prediction device according to any one of appendices 1 to 4, wherein the display data conversion unit converts calculable data regarding prediction results of the potential into display data regarding the potential using an arbitrary conversion parameter.
(Appendix 6)
The display data related to the potential includes job satisfaction, relationships with colleagues, relationships with superiors, organizational culture, engagement, job fulfillment, trust in the organization, teamwork, trust in colleagues, reliance on superiors, and to superiors. 6. The prediction device according to any one of Appendices 1 to 5, which is at least one data selected from the group consisting of trust in the company, convincingness of work, convincingness of evaluation, openness, and activities for the company.
(Appendix 7)
Furthermore, having a parameter updating unit,
The parameter updating unit
When the storage unit stores the calculable data _Z0 at an arbitrary point in time, and further stores the calculable data _Z1 after a certain period of time has elapsed from the point in time, the calculable data _Z1 can be predicted. 7. The prediction device according to any one of appendices 1 to 6, which is a unit that calculates and updates a new time parameter from the calculable data _Z0 and the calculable data _Z1 as the correct data.
(Appendix 8)
having a storage step, a computable data conversion step, a prediction step, a display data conversion step, and an output step;
The storing step includes:
storing personnel-related data of an organization and questionnaire data of individuals belonging to said organization;
The computable data conversion step includes:
converting said personnel-related data and said questionnaire data into computable data that can be calculated;
The prediction step includes
calculating a predicted result of the potential of the organization after a certain period of time as calculable data from the calculable data derived from the personnel-related data and the calculable data derived from the questionnaire data;
The display data conversion step includes:
transforming computable data about predicted results of the potential into display data about the potential;
The output step includes
outputting the converted display data;
A method of predicting organizational potential, wherein the predicted result of the potential of the organization after a certain period of time is at least one of the potential of an individual belonging to the organization and the potential of an organization to which the plurality of individuals belong.
(Appendix 9)
9. The prediction method according to claim 8, wherein the storing step further stores the calculable data derived from the personnel-related data and the calculable data derived from the questionnaire data converted by the calculable data conversion step.
(Appendix 10)
The calculable data conversion step converts the personnel-related data and the questionnaire data into calculable calculable data using arbitrary conversion parameters,
10. The prediction method according to appendix 8 or 9, wherein the display data conversion step converts calculable data regarding prediction results of the potential into display data regarding the potential using an arbitrary conversion parameter.
(Appendix 11)
In the prediction step, a prediction result of the potential of the organization after a certain period of time is calculated as calculable data from the calculable data derived from the personnel-related data and the calculable data derived from the questionnaire data using an arbitrary time parameter. 11. The prediction method according to any one of 8 to 10.
(Appendix 12)
12. The prediction method according to any one of appendices 8 to 11, wherein the display data conversion step converts calculable data regarding prediction results of the potential into display data regarding the potential using an arbitrary conversion parameter.
(Appendix 13)
The display data related to the potential includes job satisfaction, relationships with colleagues, relationships with superiors, organizational culture, engagement, job fulfillment, trust in the organization, teamwork, trust in colleagues, reliance on superiors, and to superiors. 13. The prediction method according to any one of Appendices 8 to 12, which is at least one data selected from the group consisting of trust in the company, convincingness of work, convincingness of evaluation, openness, and activities for the company.
(Appendix 14)
Furthermore, having a parameter update step,
The parameter updating step includes:
In the storing step, when the calculable data _z0 at an arbitrary point in time is stored, and the calculable data _z1 after a certain period of time has passed from the point in time is stored, the calculable data _z1 is stored as a prediction. 14. The prediction method according to any one of appendices 8 to 13, wherein a new time parameter is calculated from the computable data _z0 and the computable data _z1 as the correct data and updated.
(Appendix 15)
15. A program for causing a computer to execute the tissue potential prediction method according to any one of Appendices 8 to 14.
(Appendix 16)
A computer-readable recording medium recording the program according to appendix 15.

According to the present invention, future tissue potential can be predicted. Therefore, based on the prediction results, for example, it is possible to grasp the risks of the organization and the strengths of the organization and take countermeasures in advance.

This application claims priority based on Japanese Patent Application No. 2017-052008 filed on March 17, 2017, and the entire disclosure thereof is incorporated herein.

10 prediction device 11 storage unit 12 computable data conversion unit 13 prediction unit 14 display data conversion unit 15 output unit 101 CPU
102 memory 103 interface 104 input device 105 display 106 communication device 107 storage device 117 program

Claims (10)

having a storage unit, a computable data conversion unit, a prediction unit, a display data conversion unit, and an output unit;
The storage unit
A unit that stores personnel-related data of an organization and questionnaire data of individuals belonging to the organization;
The computable data conversion unit
a unit that converts the personnel-related data and the questionnaire data into calculable data that can be calculated;
The prediction unit
A unit that calculates, as calculable data, a prediction result of the potential of the organization after a certain period of time from the calculable data derived from the personnel-related data and the calculable data derived from the questionnaire data,
The display data conversion unit
a unit that converts computable data about the prediction result of the potential into display data about the potential;
The output unit
A unit that outputs the converted display data,
An organizational potential prediction device, wherein the predicted result of the potential of the organization after a certain period of time is at least one of the potential of an individual belonging to the organization and the potential of an organization to which the plurality of individuals belong. 2. The prediction device according to claim 1, wherein the storage unit further stores the calculable data derived from the personnel-related data and the calculable data derived from the questionnaire data converted by the calculable data conversion unit. The calculable data conversion unit converts the personnel-related data and the questionnaire data into calculable data using an arbitrary conversion parameter,
3. The prediction device according to claim 1, wherein the display data conversion unit converts calculable data regarding the prediction result of the potential into display data regarding the potential using an arbitrary conversion parameter. The prediction unit calculates, as calculable data, a prediction result of the potential of the organization after a certain period of time from the calculable data derived from the personnel-related data and the calculable data derived from the questionnaire data, using an arbitrary time parameter. Item 4. The prediction device according to any one of Items 1 to 3. The prediction device according to any one of claims 1 to 4, wherein the display data conversion unit converts calculable data regarding prediction results of the potential into display data regarding the potential using an arbitrary conversion parameter. The display data related to the potential includes job satisfaction, relationships with colleagues, relationships with superiors, organizational culture, engagement, job fulfillment, trust in the organization, teamwork, trust in colleagues, reliance on superiors, and to superiors. 6. The data according to any one of claims 1 to 5, which is at least one data selected from the group consisting of trust in the company, convincingness of work, convincingness of evaluation, openness, and activities for the company. prediction device. Furthermore, having a parameter updating unit,
The parameter updating unit
When the storage unit stores the calculable data _Z0 at an arbitrary point in time, and further stores the calculable data _Z1 after a certain period of time has elapsed from the point in time, the calculable data _Z1 can be predicted. 7. The prediction device according to any one of claims 1 to 6, wherein a new time parameter is calculated from said calculable data _Z0 and said calculable data _Z1 as correct data, and updated. having a storage step, a computable data conversion step, a prediction step, a display data conversion step, and an output step;
The storing step includes:
storing personnel-related data of an organization and questionnaire data of individuals belonging to said organization;
The computable data conversion step includes:
converting said personnel-related data and said questionnaire data into computable data that can be calculated;
The prediction step includes
calculating a predicted result of the potential of the organization after a certain period of time as calculable data from the calculable data derived from the personnel-related data and the calculable data derived from the questionnaire data;
The display data conversion step includes:
transforming computable data about predicted results of the potential into display data about the potential;
The output step includes
outputting the converted display data;
the prediction result of the potential of the organization after a certain period of time is at least one of the potential of the individual belonging to the organization and the potential of the organization to which the plurality of individuals belong;
A tissue potential prediction method , wherein each of the above steps is executed by a computer . 9. The prediction method according to claim 8, wherein the storing step further stores the calculable data derived from the personnel-related data and the calculable data derived from the questionnaire data converted by the calculable data converting step. A program for causing a computer to execute the tissue potential prediction method according to claim 8 or 9.

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