JP7000905B2 - Information processing equipment, personnel analysis support methods and programs - Google Patents

Description

The present invention relates to an information processing apparatus , a personnel analysis support method and a program.

Conventionally, a technology for storing and managing personnel information including multiple items such as name, job title, personnel evaluation, human resource characteristics, and proficiency of various skills in the storage unit of an information processing device regarding personnel belonging to an organization such as a company organization. (For example, Patent Document 1). In addition, this information processing device causes the display unit to display correlation information (for example, a regression line showing the relationship between the items and the value of the coefficient of determination R ² ) showing the correlation between the quantitative items in the personnel information. There is technology. By using this correlation information, it is possible to perform personnel analysis such as what kind of skill development program is effective for improving the quality and quantity of work output, and accurate personnel measures. Can be connected to.

In addition, after dividing the personnel to be managed into multiple groups (typically three groups of high performers, middle performers and low performers) based on predetermined indicators such as personnel evaluations, the above personnel affairs for each group By conducting analysis, it is also possible to determine the optimal personnel measures according to the characteristics of the human resources of the personnel belonging to each group.

Japanese Unexamined Patent Publication No. 11-053430

However, when performing the above-mentioned personnel analysis for each group with a conventional information processing device, the user extracts the personnel information related to the personnel of the group to be analyzed from the entire personnel information related to the personnel to be managed. There is a problem that it takes time and effort to perform personnel analysis work for each group.

An object of the present invention is to provide an information processing apparatus , a personnel analysis support method, and a program capable of more easily performing personnel analysis for each group.

In order to solve the above problem, the information processing apparatus according to the present invention selects an item designated by a user operation from a plurality of quantitative items in personnel information as an analysis target item and determines from the remaining items. When the scatter plot and the regression line are displayed on the display unit as the correlation information indicating the correlation between the selection means for selecting the item of the item as a variable item and the analysis target item selected by the selection means and the variable item . The scatter plot shows the data points of the personnel assigned to the predetermined group based on the personnel information among the plurality of personnel constituting the predetermined population in a different display mode from the data points of the other personnel. The selection means includes display control means for displaying and displaying the regression line obtained by regression analysis for personnel assigned to the predetermined group on the scatter plot, and the selection means is the remaining. Among the items, the item having the highest correlation with the analysis target item for the personnel assigned to the predetermined group is selected as the variable item.
Further, the personnel analysis support method according to the present invention is a personnel analysis support method executed by an information processing apparatus, and an item designated by a user operation from a plurality of quantitative items in personnel information is set as an analysis target item. A scatter diagram and a regression line as correlation information showing the correlation between the selection step of selecting and selecting a predetermined item from the remaining items as a variable item and the correlation between the analysis target item selected in the selection step and the variable item. Is displayed on the display unit, the data points related to the personnel assigned to the predetermined group based on the personnel information among the plurality of personnel constituting the predetermined population are displayed as the data points related to the other personnel. It has a display control step of displaying the scatter diagram in different modes and displaying the regression line obtained by regression analysis for the personnel assigned to the predetermined group on the scatter diagram. The selection step is characterized in that, among the remaining items, the item having the highest correlation with the analysis target item for the personnel assigned to the predetermined group is selected as the variable item. do.
Further, in the program according to the present invention, the computer selects an item specified by a user operation from a plurality of quantitative items in personnel information as an analysis target item, and sets a predetermined item from the remaining items as a variable. A predetermined population is configured when a scatter plot and a regression line are displayed on the display unit as correlation information indicating the correlation between the selection means selected as an item and the analysis target item selected by the selection means and the variable item. The data points related to the personnel assigned to the predetermined group based on the personnel information among the plurality of personnel to be displayed are displayed in a different manner from the data points related to the other personnel, and the scatter diagram is displayed. The regression line obtained by the regression analysis for the personnel assigned to the group is functioned as a display control means for displaying the regression line on the scatter plot, and the selection means is the predetermined item among the remaining items. It is characterized in that the item having the highest correlation with the analysis target item for the personnel assigned to the group is selected as the variable item.

According to the present invention, there is an effect that personnel analysis for each group can be performed more easily.

It is a block diagram which shows the functional structure of the personnel information management apparatus. It is a figure which shows the content example of the personnel information file. It is a figure which shows the example of the analysis setting screen. It is a figure which shows the example of the analysis result screen. It is a figure which shows the example of the analysis result screen when the analysis target group is changed. It is a flowchart which shows the control procedure of the personnel analysis process.

Hereinafter, embodiments of the information processing apparatus and program of the present invention will be described with reference to the drawings.

FIG. 1 is a block diagram showing a functional configuration of the personnel information management device 1 (information processing device) of the present embodiment.
The personnel information management device 1 is a device for managing personnel information of a plurality of personnel belonging to an organization. The personnel information management device 1 registers and manages personnel information of personnel by business processing related to recruitment management, labor management, salary management, and the like. In the following, a plurality of employees belonging to a company will be described as an example as a plurality of personnel, but the purpose is not limited to this, and the personnel information management device 1 is used for managing personnel information of any plurality of personnel. Can be applied.
The personnel information to be managed by the personnel information management device 1 includes, for example, basic information such as the name, age, department, and job title of the employee to be managed, and personnel related to the employee's past to present work contents and results. It includes multiple items such as appraisal, human resources characteristics such as motivation, and proficiency of various skills such as communication ability. The personnel information management device 1 can perform a correlation analysis process for analyzing the correlation between two quantitative items among the items of these personnel information. This point will be described in detail later.

As shown in FIG. 1, the personnel information management device 1 includes a CPU 11 (Central Processing Unit) (display control means, group information generation means, computer), a RAM 12 (Random Access Memory), a storage unit 13, and an operation unit. It includes 14, a display unit 15, a communication unit 16, a bus 17, and the like. Each part of the personnel information management device 1 is connected via a bus 17.

The CPU 11 controls each part of the personnel information management device 1. The CPU 11 reads a designated program among the system programs and application programs stored in the storage unit 13 and expands them in the RAM 12, and executes various processes according to the program.

The RAM 12 is, for example, a volatile memory and has a work area for temporarily storing various programs and data read by the CPU 11.

The storage unit 13 includes a storage device such as an HDD (Hard Disk Drive) and an SSD (Solid State Drive) capable of writing and reading data, and stores various programs, files including setting data, and the like. Specifically, the storage unit 13 stores a personnel analysis program 13a, a personnel information file 13b, a group information file 13c, an analysis result file 13d, and the like.
The personnel analysis program 13a is a program for causing the CPU 11 to execute the personnel analysis process described later.
The personnel information file 13b is a file containing the above-mentioned personnel information relating to the employee to be managed.
The group information file 13c is a file including group information related to the composition of grouping of employees to be managed.
The analysis result file 13d is a file including information (analysis result information) related to the analysis result by the personnel analysis process.

The operation unit 14 has a key input unit such as a keyboard and a pointing device such as a mouse, receives key operation input and position operation input from a user (operator), and outputs the operation information to the CPU 11.

The display unit 15 is composed of an LCD (Liquid Crystal Display), an EL (Electroluminescent) display, or the like, and performs various displays according to display information instructed by the CPU 11.

The communication unit 16 is composed of a network card or the like, and is connected to a device such as a database on a communication network (not shown). The communication network is a LAN (Local Area Network), a WAN (Wide Area Network), or the like. The CPU 11 can communicate with a device on the communication network via the communication unit 16.

In the present embodiment, the personnel analysis program 13a, the personnel information file 13b, the group information file 13c, the analysis result file 13d, and the like are described as being stored in the storage unit 13, but the present embodiment is not limited thereto. For example, at least a part of the personnel analysis program 13a, the personnel information file 13b, the group information file 13c, and the analysis result file 13d may be stored in a storage device such as a server communicably connected via the communication unit 16. ..

Next, the personnel information handled by the personnel information management device 1 of the present embodiment will be described.
FIG. 2 is a diagram showing an example of the contents of the personnel information file 13b stored in the storage unit 13.
The personnel information file 13b includes table data in which information on a plurality of items (fields) related to personnel is stored for each of the plurality of employees to be managed. In this embodiment, items in the personnel information file 13b include employee number, name, gender, age, department, job title (job title and rank code), personnel evaluation, motivation, communication ability, overtime hours, and the like. ..

Of these items, the "employee number" is a unique number that makes it possible to identify each employee.
Further, the "rank code" in the "position" is a numerical value associated with the "position name". The numerical value of the rank code is set so that the higher the position of the corresponding "position name", the larger the value.
"Personnel appraisal" expresses the assessment result of the contribution to the work of the employee and the result in a predetermined multiple ranks (here, 5 ranks from 1 to 5 in order from the highest rank). The rank of the personnel evaluation is not limited to the numerical value, and may be the character such as A to E. Even in this case, the item of personnel evaluation can be used as a quantitative item by also storing the result of the assessment by letters replaced with a numerical value.
"Motivation" is a numerical value showing the high level of motivation of employees for work, which was investigated by a predetermined method.
"Communication ability" is a numerical value indicating the overall level of communication ability of employees derived by a predetermined method based on the employee's speaking ability, listening ability, etc. "Overtime hours" is 1 of employees. Average overtime hours per month.

Among the items of the personnel information file 13b shown in FIG. 2, the data of each item of age, rank code, personnel evaluation, motivation, communication ability and overtime hours are quantitative data, that is, the position on a predetermined coordinate axis is specified. This is a possible item, and it is possible to compare the size relationship of data among employees. In the following, among the items of the personnel information file 13b, the items whose data is quantitative are referred to as quantitative items.

Next, the personnel analysis process executed by the personnel information management device 1 of the present embodiment will be described.
In the personnel analysis process, the correlation analysis process that generates the correlation information showing the correlation between the quantitative items among the items of the personnel information, the analysis result display process that causes the display unit 15 to display the correlation information, and the correlation information. Is stored in the storage unit 13, and the like is performed. Hereinafter, a series of processes including the correlation analysis process and the analysis result display process will be referred to as a correlation display process.
Here, the correlation information is not particularly limited, but is a correlation diagram in which data points of two items are plotted in an orthogonal coordinate system, a result of regression analysis showing the relationship between the items, and a coefficient of determination R in the regression analysis. ² (or correlation coefficient R) or the like.

Further, in the personnel analysis process, all the employees to be managed can be divided into a plurality of predetermined groups, and the above-mentioned correlation display process can be performed on the employees belonging to each group.
The mode of grouping is not particularly limited, but typically, all employees are divided into three groups, high performer, middle performer, and low performer, in descending order of personnel evaluation value (rank). can do. The plurality of groups in this case are obtained by dividing the arrangement of all employees in the order according to the size of the value of the personnel evaluation into three at a predetermined position. Here, the position for dividing the sequence is a position where the number of people included in each group of high performer, middle performer, and low performer is a predetermined ratio to the total number of people, for example, 20%, 60%, and 20%, respectively. be able to. Although these ratios are set in advance before the personnel analysis process, as will be described later, these ratios can be adjusted by input operation by the user even on the analysis result screen showing the result of the personnel analysis process. You can do it.
The group information file 13c stored in the storage unit 13 contains information relating to a position for dividing the arrangement of all employees for grouping.

In the personnel analysis process, first, the analysis setting screen 20 for setting the correlation display process is displayed on the display unit 15.
FIG. 3 is a diagram showing an example of the analysis setting screen 20.
On the analysis setting screen 20, the drop-down lists 21 and 22, the execute button 23, the end button 24, and the like are displayed.

The drop-down list 21 is used to specify the target range for performing personnel analysis. When an input operation for selecting the drop-down list 21 (for example, an operation of selecting using a pointing device such as a mouse or an operation of touching a fingertip or the like with a touch panel) is performed, a candidate list of the target range to be analyzed is displayed. , By performing an input operation to further select one of the candidates, it is possible to specify the target range for personnel analysis. In FIG. 3, "company-wide" is specified as the target range.

The drop-down list 22 is used to specify an analysis axis in the correlation display process. This analysis axis is an item of personnel information fixed to one of the two axes of the analysis target in the correlation display processing (hereinafter, referred to as an analysis target item). When the input operation for selecting the drop-down list 21 is performed, the candidate list of the items to be analyzed is displayed, and the item to be analyzed can be specified by performing the input operation for further selecting one of the candidates. .. Here, the candidate list of the items to be analyzed is obtained by extracting the above-mentioned quantitative items from the items of the personnel information file 13b. In FIG. 3, "motivation" is designated as the range of analysis targets.

By performing an input operation for selecting the execution button 23 on the analysis setting screen 20, the analysis settings specified by the drop-down lists 21 and 22 are confirmed, and the correlation display process is started with the analysis settings.
Further, by performing an input operation for selecting the end button 24, the analysis setting can be ended without starting the correlation display process.

When the correlation display processing is started, predetermined data processing is performed, and the analysis result screen 30 showing the analysis result is displayed on the display unit 15.
FIG. 4 is a diagram showing an example of the analysis result screen 30.
On the analysis result screen 30, a correlation diagram 31, a drop-down list 32, an operation tool 33, a group tab 34, a print button 35, a save button 36, an end button 37, and the like are displayed.
On the analysis result screen 30, the analysis result focusing on any one of the high performer, the middle performer, and the low performer is displayed. In this embodiment, the analysis result focusing on the high performer is displayed by default. In the following, among the high performers, middle performers, and low performers, the group whose analysis result is displayed on the analysis result screen 30 is also referred to as “analysis target group”.

In the correlation diagram 31, the analysis target item (here, motivation) specified in the drop-down list 22 of the analysis setting screen 20 of the personnel information is set as the vertical axis (first coordinate axis), and the predetermined items other than the analysis target item are defined. It is a scatter diagram of the Cartesian coordinate system with the item (hereinafter, also referred to as a variable item) as the horizontal axis (second coordinate axis). The variable item is selected from the quantitative items among the items of the personnel information file 13b in the same manner as the items to be analyzed.
In this correlation diagram 31, the distribution of data points of all employees in the range specified by the drop-down list 21 of FIG. 3 is displayed (plotted). Of these, the data points of employees belonging to the analysis target group (high performer (G1) in FIG. 4) are displayed as circular marks, and the groups other than the analysis target group (middle performer (G2) and low performer (G1)). The data points of employees belonging to G3)) are indicated by diamond-shaped marks. Further, in the correlation diagram 31, a regression line L which is the result of regression analysis between the item to be analyzed and the variable item for the employees belonging to the analysis target group is displayed.

Further, in the upper part of the correlation diagram 31, the coefficient of determination R ² related to the result (regression line L) of the regression analysis of the high performer (G1), which is the analysis target group, and the entire data of the high performer, middle performer, and low performer are shown. The coefficient of determination R ² according to the result of the regression analysis for the points is shown. The regression line related to the entire data points is not displayed on the analysis result screen 30.

Here, the coefficient of determination R ² represents the accuracy of the result of the regression analysis (regression straight line in this embodiment), and the closer it is to 1, the higher the accuracy of the regression analysis, that is, the stronger the correlation between the items. show. Further, the coefficient of determination R ² is equal to the square of the correlation coefficient R. This correlation coefficient R is a coefficient that can take a value from -1 to 1 depending on the correlation between the two items, and takes a positive value when the two items have a positive correlation. When it has a positive correlation, it takes a positive value, and the stronger the relationship, the closer the absolute value is to 1. Therefore, since the correlation between the two items can be shown by the correlation coefficient R, the correlation coefficient R may be displayed instead of the coefficient of determination R ² on the analysis result screen 30.
The information related to the correlation diagram 31, the regression line L, and the coefficient of determination ^R2 displayed on the analysis result screen 30 is an aspect of the correlation information showing the correlation between the item to be analyzed and the variable item among the items of personnel information. Is.

In the personnel analysis process of the present embodiment, among the items included in the personnel information, the coefficient of determination R ² regarding the analysis target group is performed between the analysis target item (motivation) and all other quantitative items (variable items). Are calculated respectively, and the variable item having the largest coefficient of determination R ² is automatically selected as the horizontal axis in the correlation diagram 31. In the example of FIG. 4, for the high performer, the coefficient of determination R ² (= 0.8504) is the largest when the variable item is “communication ability”, so the item of “communication ability” is the horizontal axis of the correlation diagram 31. Is selected.

The drop-down list 32 is used when changing the variable item on the horizontal axis of the correlation diagram 31. When the input operation for selecting the drop-down list 32 is performed, a candidate list of variable items (quantitative items included in the personnel information file 13b excluding the items to be analyzed) is displayed, and one of the candidates is selected. Further, by performing a selection input operation, it is possible to specify a variable item on the horizontal axis of the correlation diagram 31. As described above, as the variable item, the item having the largest coefficient of determination ^R2 for the analysis target group is selected by default.

The operation tool 33 is a tool (operation target image) that accepts an input operation for changing the number and ratio of employees belonging to each group of high performer, middle performer, and low performer. The operation tool 33 has a text box 331 for inputting the ratio of the number of employees belonging to each of the above groups, a text box 332 for inputting the number of people belonging to each group, and a reflection button 333.
By inputting the ratio in the text box 331 or selecting the reflection button 333 with the number of people input in the text box 332, the grouping setting is reflected in the text boxes 331 and 332. You can change the settings. Specifically, as described above, the information related to the position for dividing the arrangement of the plurality of employees in the group information file 13c stored in the storage unit 13 is changed. The series of input operations for the operation tool 33 is one aspect of an input operation for specifying a position for dividing an array of a plurality of employees.

Also, if the numerical value of the text box 331 or 332 of any of the high performer, middle performer and low performer is changed, the ratio and the number of people of the other group (that is, the numerical value of the text box 331 or 332) are linked to this. ) Is also changed automatically. The method of interlocking is not particularly limited, but for example, the ratio or number of people in the adjacent group may be changed or changed so that the total number of people in the changed group and the group adjacent to the group does not change. The ratio of the groups and the amount of change in the number of people may be distributed to all groups other than the group by the amount of change proportionally distributed according to the number of people in each group.

The group tab 34 is a tool (operation target image) that accepts an input operation for changing the analysis target group for displaying the analysis result on the analysis result screen 30. The group tab 34 is provided corresponding to each of the high performer, middle performer, and low performer, and by performing an input operation to select one of the group tabs 34, the group tab 34 corresponding to the selected group tab 34 can be used. The correlation analysis result can be displayed on the analysis result screen 30. The above-mentioned operation tool 33 is provided in the area of each group tab 34.

FIG. 5 is a diagram showing an example of an analysis result screen 30 displayed when the group tab 34 of the middle performer (G2) is selected on the analysis result screen 30 of FIG.
In FIG. 5, the analysis result focusing on the middle performer is displayed. That is, in the correlation diagram 31 of FIG. 5, the data points of the employees belonging to the middle performers are displayed by circular marks, and the data points of the employees belonging to the groups other than the middle performers are displayed by the diamond-shaped marks. Further, the regression line L related to the data points of the employees belonging to the middle performer is displayed in the correlation diagram 31, and the coefficient of determination R ² related to the regression line L is displayed in the upper part of the correlation diagram 31. There is.

Further, in the correlation diagram 31 of FIG. 5, “overtime hours” is automatically selected as the variable item on the horizontal axis. This is because in the correlation display processing related to the middle performer, the coefficient of determination R ² of the regression line L becomes the largest when the variable item is overtime.

By performing an input operation for selecting the group tab 34 of the low performer in FIGS. 4 and 5, the analysis result screen 30 in which the analysis target group is switched to the low performer can be displayed in the same manner as described above.

In this way, the analysis target group is switched by a simple input operation for selecting the group tab 34, and the variable item having the largest correlation with the analysis target item (analysis axis) is specified for the analysis target group. Further, a correlation diagram 31 or the like showing the correlation between the variable item and the item to be analyzed is displayed. As a result, the user can easily acquire the correlation information for each group and perform personnel analysis.
In the example of the present embodiment, the most suitable personnel measures for improving motivation can be easily determined for each of the high performer, middle performer and low performer. Specifically, for high performers, the item with the highest correlation with motivation is the item of communication ability (Fig. 4), and for middle performers, the item with the highest correlation with motivation is the item of overtime hours. (Fig. 5), it is possible to effectively increase motivation by implementing personnel measures such as training that affect these items.

On the analysis result screen 30 of FIG. 4 or FIG. 5, by performing an input operation for selecting the print button 35, the display content of a predetermined part or the whole of the analysis result screen 30 can be printed by an external printing device. ..
Further, by performing an input operation for selecting the save button 36, the analysis result information indicating the analysis result can be stored in the analysis result file 13d of the storage unit 13. Here, the analysis result information is, for example, data related to each data point in the correlation diagram 31, data representing the regression line L, data representing the coefficient of determination R ² , data representing the grouping of employees, and the like.
Further, by performing an input operation for selecting the end button 37, the display of the analysis result screen 30 can be ended and the screen can be changed to a predetermined screen.

Next, the control procedure of the personnel analysis process by the CPU 11 will be described.
FIG. 6 is a flowchart showing a control procedure of the personnel analysis process.
When the personnel analysis process is started, the CPU 11 displays the analysis setting screen 20 on the display unit 15 and accepts an input operation for selecting the target organization and the analysis axis of the personnel analysis (step S101).

The CPU 11 determines whether or not an input operation for selecting the execution button 23 on the analysis setting screen 20 has been performed (step S102), and if the input operation has been performed (“YES” in step S102), the personnel analysis is performed. The setting of the target organization and the analysis axis is confirmed, the group information file 13c is generated according to the setting, and the analysis target group is set to the default "high performer" (step S103). Specifically, the CPU 11 divides the employees belonging to the target organization of the personnel analysis determined by the setting into high performers, middle performers, and low performers at a predetermined ratio, and generates a group information file 13c according to the configuration of each group. And store it in the storage unit 13. If the group information file 13c is generated in advance by grouping, the process of generating the group information file 13c can be omitted.
If it is determined that the input operation for selecting the execution button 23 has not been performed (“NO” in step S102), the CPU 11 executes the process of step S102 again.

The CPU 11 executes the correlation analysis process and the analysis result display process (correlation display process) to display the analysis result screen 30 on the display unit 15 (step S104). That is, the CPU 11 acquires the configurations of each group of high performer, middle performer, and low performer based on the group information file 13c, and assigns the employee to the analysis target group (default is "high performer") in the personnel information file 13b. Based on the relevant part, the coefficient of determination R ² is calculated for each combination of the item to be analyzed (motivation) and all other variable items, and the variable item (communication ability) having the largest coefficient of determination R ² is specified. .. Then, the display unit 15 displays the analysis result screen 30 including the analysis results focusing on the high performer (correlation diagram 31 with the specified variable item as the horizontal axis, regression line L, coefficient of determination R ² , etc.).

The CPU 11 determines whether or not an input operation for the operation tool 33 has been performed (step S105), and if it is determined that the input operation has been performed (“YES” in step S105), the CPU 11 groups according to the input contents. The group information file 13c is updated by changing the setting of (step S106), and the process is returned to step S104. In the process of step S104 executed here, the CPU 11 re-executes the correlation analysis process and the analysis result display process (correlation display process) according to the changed group configuration.

If it is determined in step S105 that the input operation for the operation tool 33 has not been performed (“NO” in step S105), the CPU 11 determines whether or not the input operation for selecting the group tab 34 has been performed (step S105). S107). If it is determined that the input operation has been performed (“YES” in step S107), the CPU 11 changes the analysis target group according to the input operation (step S108), returns the process to step S104, and after the change. Correlation analysis processing and analysis result display processing (correlation display processing) are executed for the analysis target group of.

If it is determined in step S107 that the input operation for selecting the group tab 34 has not been performed (“NO” in step S107), the CPU 11 determines whether or not the input operation for selecting the save button 36 has been performed. (Step S109). When it is determined that the input operation has been performed (“YES” in step S109), the CPU 11 generates the analysis result file 13d and stores it in the storage unit 13 (step S110).

When the process of step S110 is completed, or when it is determined that the above input operation has not been performed in the process of step S109 (“NO” in step S109), the CPU 11 performs an input operation to select the end button 37. If it is determined whether or not the input operation has been performed (step S111), if it is determined that the input operation has not been performed (“NO” in step S111), the process is returned to step S105, and it is determined that the input operation has been performed. (“YES” in step S111), the personnel analysis process is terminated.

As described above, the personnel information processing device 1 of the present embodiment is an information processing device that processes personnel information including two or more quantitative items for a plurality of employees, and is included in the personnel information file 13b. Based on the personnel information, the display unit 15 displays the correlation diagram 31, the regression line L, and the determination coefficient R ² (correlation information) showing the correlation between the item to be analyzed and the predetermined variable item among the items of the personnel information. The CPU 11 is provided as a display control means for performing correlation display processing, and the CPU 11 is a high performer, a middle performer, and a low performer (a plurality of groups) to which a different part of a plurality of employees belongs, which is included in the group information file 13c. Correlation display processing based on the part of the personnel information related to the employees belonging to the group is performed for each of at least a part of the plurality of groups based on the group information related to the configuration of the above (display control means). ..
According to such a personnel information processing apparatus 1, the user can acquire the correlation information for each group without extracting the personnel information related to the employees of the group to be analyzed from the personnel information related to all the employees. .. Therefore, it is possible to more easily perform personnel analysis for each group. Further, by using the group information file 13c corresponding to the desired grouping to be analyzed, the correlation information when the employees are divided into the desired groups can be easily obtained, so that more flexible personnel analysis can be easily performed. can.

Further, the CPU 11 uses a variable item different from the variable item used in the correlation display processing for any group other than the one group in the correlation display processing for one of the plurality of groups, and the correlation information is used. Is displayed on the display unit 15 (display control means). This makes it possible to change the variable item for which the correlation with the item to be analyzed is analyzed for each group. Therefore, for each group, it is possible to perform more flexible personnel analysis such as searching for variable items that have a large correlation with the items to be analyzed.

Further, the CPU 11 performs regression analysis on the items to be analyzed and the variable items in the correlation display processing, and among the items included in the personnel information, the item having the largest coefficient of determination ^R2 related to the regression analysis is the variable item. The correlation information is displayed on the display unit 15 (display control means). This makes it possible to easily identify the item (variable item) having the largest correlation with the item to be analyzed for each group. Therefore, for example, the most suitable personnel measures for improving the human resources characteristics of the items to be analyzed can be easily determined for each group.

Further, in the correlation display processing, the CPU 11 causes the display unit 15 to display a plurality of correlation information in which the variable items are different from each other (display control means). This makes it possible to confirm the magnitude of the correlation between each variable item and the item to be analyzed, if necessary.

Further, the CPU 11 switches between a plurality of groups to be subjected to the correlation display processing (display control means) in response to an input operation from the user. This makes it easy to confirm the correlation information for the desired group.

Further, in the correlation display processing, the CPU 11 shows an employee belonging to the target group in the correlation diagram 31 of the Cartesian coordinate system in which the item to be analyzed is the vertical axis (first coordinate axis) and the variable item is the horizontal axis (second coordinate axis). The distribution of the data points according to the above is displayed on the display unit 15 (display control means). This makes it possible to show the correlation between the item to be analyzed and the variable item in an intuitive and easy-to-understand display.

Further, the CPU 11 specifies the configuration of each of the plurality of groups based on the input operation by the user, and generates the group information file 13c including the group information (group information generation means). This makes it possible to easily confirm the correlation information for each group when the employees are divided into desired groups.

Further, the plurality of groups are obtained by dividing the arrangement of a plurality of employees in the order according to the size of the value of the personnel evaluation in the personnel information, and the CPU 11 determines the position for dividing the arrangement by the user. Specify based on the input operation by (group information generation means). This makes it possible to set grouping with a simple input operation.

In addition, by dividing the arrangement of a plurality of employees in the order according to the size of the value of the personnel evaluation to form a plurality of groups, a group group classified according to the high performance of the work (for example,). High performers, middle performers and low performers) can be formed.

Further, in the personnel analysis program 13a of the present embodiment, the CPU 11 (computer) provided in the personnel information management device 1 is analyzed based on the personnel information included in the personnel information file 13b. The correlation diagram 31, which shows the correlation between the item and the predetermined variable item, the regression line L, and the determination coefficient R ² (correlation information) are displayed on the display unit 15 as a correlation display process, and the display control means is a group information. At least a part of the plurality of groups based on the group information related to the composition of the high performer, middle performer and low performer (multiple groups) to which different parts of the plurality of employees belong, which are included in the file 13c. Correlation display processing is performed for each of the groups based on the part of the personnel information related to the employees belonging to the group.
By operating the personnel information management device 1 based on such a program, personnel analysis for each group can be performed more easily and flexibly.

In the above description, an example in which the HDD and SSD of the storage unit 13 are used as a computer-readable medium for the program according to the present invention has been disclosed, but the present invention is not limited to this example. As another computer-readable medium, a portable recording medium such as a flash memory or a CD-ROM can be applied. A carrier wave is also applied to the present invention as a medium for providing data of a program according to the present invention via a communication line.

The description in the above embodiment is an example of the information processing apparatus and program according to the present invention, and is not limited thereto.
For example, the personnel information management device 1 may be configured by a server device connected to the network, and various information related to personnel analysis may be transmitted and received by another terminal device connected to the network. That is, various instructions related to input of personnel information and analysis processing to the personnel information management device 1 are given from the terminal device, and the result of the personnel analysis processing by the personnel information management device 1 is received by the terminal device and displayed on the display unit of the terminal device. It may be displayed.

Further, in the above embodiment, the variable items on the horizontal axis of the correlation diagram 31 have been described by using the drop-down list 32, but the present invention is not limited to this. For example, after displaying the selection candidates of the variable items in the vicinity of the correlation diagram 31, the variable items may be switched according to the selection result of the variable items by the radio button or the like.

Further, in the above embodiment, the description has been made using an example in which one variable item is specified and the correlation diagram 31 (and the regression line L, the coefficient of determination R ² , etc.) is displayed, but the present invention is not limited to this. For example, the correlation diagrams 31 and the like having different variable items may be displayed side by side on the analysis result screen 30, or these correlation diagrams 31 and the like may be sequentially switched and displayed at predetermined time intervals.

Further, in the above embodiment, the analysis target group has been described by using an example in which the analysis target group can be changed by the group tab 34, but the present invention is not limited to this. For example, after displaying the selection candidates of the analysis target group on the analysis result screen 30, the analysis target group may be switched according to the selection result of the analysis target group by the radio button or the like.

Further, in the above embodiment, in the correlation display processing, an example of displaying the result of the correlation analysis processing for one group has been described, but the present invention is not limited to this, and the results of the correlation analysis processing of each group are listed. It may be displayed. For example, in the above embodiment, the correlation diagram 31, the regression line L, the coefficient of determination ^R2 , etc. for each of the high performer, middle performer, and low performer may be displayed side by side on the analysis result screen 30.

Further, in the above embodiment, as the regression analysis, an example of deriving a regression line has been described, but the present invention is not limited to this, and a regression analysis using various other functions such as a quadratic function as a regression equation may be performed. .. Further, the method of correlation analysis is not limited to single regression analysis that analyzes the correlation between the item to be analyzed and a single variable item, and may be multiple regression analysis. That is, correlation information indicating the correlation between the item to be analyzed and two or more variable items may be generated and displayed.

Further, the grouping of employees is not limited to the one using the item of personnel evaluation as an index, and any other item may be used as an index.
Further, the number of groups is not limited to three, high performer, middle performer and low performer, and may be two or four or more.
Further, the grouping is not limited to the grouping in which each employee belongs to any one group, and the grouping in which the members partially overlap (that is, the grouping in which some employees belong to two or more groups) may be used.
Further, the change of the configuration of each group is not limited to the one using the operation tool 33 of the above embodiment, and the input operation for specifying the position of the group division by the slide bar and the employees belonging to each group from the list of employees can be selected. You may change the composition of the group by the input operation to select directly.

Further, the correlation display process does not necessarily have to be executed for all the grouped groups, and may be executed for each of some of the plurality of grouped groups.

Further, in the above embodiment, when the input operation for selecting the group tab 34 is performed in step S107 of FIG. 6, the analysis target group is changed and the correlation analysis process is executed again, but the present invention is limited to this. However, for example, when the correlation analysis process is executed for all groups in advance and the input operation for selecting the group tab 34 is performed, the plurality of correlation information already generated by the correlation analysis process is related. The display may be configured to only switch to the one corresponding to each group.

Further, it goes without saying that the detailed configuration and detailed operation of each component of the personnel information management device 1 in the above embodiment can be appropriately changed without departing from the spirit of the present invention.

Although the embodiments of the present invention have been described, the scope of the present invention is not limited to the above-described embodiments, but includes the scope of the invention described in the claims and the equivalent scope thereof.
The inventions described in the claims originally attached to the application of this application are described below. The claims described in the appendix are the scope of the claims originally attached to the application for this application.
[Additional Notes]
<Claim 1>
An information processing device that processes personnel information that includes two or more quantitative items for multiple personnel.
A display control means for performing a correlation display process for displaying correlation information indicating a correlation between an item to be analyzed and a predetermined variable item among the items of the personnel information based on the personnel information is provided on the display unit.
The display control means targets each of at least a part of the plurality of groups based on the group information relating to the composition of the plurality of groups to which different parts of the plurality of personnel belong. An information processing device that performs the correlation display processing based on the portion of personnel information related to the personnel belonging to the group.
<Claim 2>
The display control means is a variable item different from the variable item used in the correlation display processing for any group other than the one group in the correlation display processing for one of the plurality of groups. The information processing apparatus according to claim 1, wherein the correlation information is displayed on the display unit using the above.
<Claim 3>
The display control means performs regression analysis on the item to be analyzed and the variable item in the correlation display process, and among the items included in the personnel information, the coefficient of determination related to the regression analysis becomes the largest. The information processing apparatus according to claim 1 or 2, wherein the item is used as the variable item and the correlation information is displayed on the display unit.
<Claim 4>
The information processing device according to any one of claims 1 to 3, wherein the display control means displays a plurality of the correlation information having different variable items on the display unit in the correlation display process.
<Claim 5>
The information processing apparatus according to any one of claims 1 to 4, wherein the display control means switches a group to be subjected to the correlation display processing among the plurality of groups according to an input operation from the user.
<Claim 6>
In the correlation display processing, the display control means distributes data points related to personnel belonging to the target group to an orthogonal coordinate system having the item to be analyzed as the first coordinate axis and the variable item as the second coordinate axis. The information processing apparatus according to any one of claims 1 to 5, which is displayed on the display unit.
<Claim 7>
The information processing apparatus according to any one of claims 1 to 6, further comprising a group information generation means for specifying the configuration of each of the plurality of groups based on an input operation by the user and generating the group information.
<Claim 8>
The plurality of groups are obtained by dividing the arrangement of the plurality of personnel in an order according to the magnitude of the value of a predetermined item in the personnel information.
The information processing apparatus according to claim 7, wherein the group information generation means specifies a position for dividing the array based on an input operation by the user.
<Claim 9>
The plurality of groups is any one of claims 1 to 8, which is obtained by dividing the arrangement of the plurality of personnel in the order according to the size of the value of the personnel evaluation among the items of the personnel information. The information processing device according to paragraph 1.
<Claim 10>
A computer installed in an information processing device that processes personnel information that includes two or more quantitative items for multiple personnel.
Based on the personnel information, it functions as a display control means for performing correlation display processing for displaying correlation information indicating the correlation between the item to be analyzed and a predetermined variable item among the items of the personnel information.
The display control means targets each of at least a part of the plurality of groups based on the group information relating to the composition of the plurality of groups to which different parts of the plurality of personnel belong. A program that performs the correlation display processing based on the part of personnel information related to the personnel belonging to the group.

1 Personnel information management device (information processing device)
11 CPU (display control means, group information generation means)
12 RAM
13 Storage unit 13a Personnel analysis program 13b Personnel information file 13c Group information file 13d Analysis result file 14 Operation unit 15 Display unit 16 Communication unit 20 Analysis setting screen 30 Analysis result screen 31 Correlation diagram (correlation information)
33 Operation tool 34 Group tab L Regression line (correlation information)

Claims (5)

A selection means for selecting an item specified by user operation from a plurality of quantitative items in personnel information as an analysis target item and selecting a predetermined item as a variable item from the remaining items.
Among a plurality of personnel constituting a predetermined population when displaying a scatter plot and a regression line as correlation information indicating the correlation between the analysis target item and the variable item selected by the selection means on the display unit. The data points related to the personnel assigned to the predetermined group based on the personnel information are displayed in a different display mode from the data points related to other personnel, and the scatter plot is displayed and assigned to the predetermined group. A display control means for displaying the regression line obtained by regression analysis for personnel on the scatter plot.
Equipped with
The selection means selects, among the remaining items, the item having the highest correlation with the analysis target item for the personnel assigned to the predetermined group as the variable item.
An information processing device characterized by this . When the predetermined group is replaced with another group by a user operation, the selection means changes the variable item to be selected so as to correspond to the other group.
The information processing apparatus according to claim 1. The display control means determines the coefficient of determination of the regression line obtained by the regression analysis targeting the personnel assigned to the predetermined group, and the determination of the regression line obtained by the regression analysis targeting the population. The coefficient is displayed as the correlation information.
The information processing apparatus according to claim 1 or 2. It is a personnel analysis support method executed by an information processing device.
A selection step in which an item specified by user operation is selected as an analysis target item from a plurality of quantitative items in personnel information and a predetermined item is selected as a variable item from the remaining items.
When displaying a scatter plot and a regression line on the display unit as correlation information indicating the correlation between the analysis target item selected in the selection step and the variable item, the above-mentioned personnel among a plurality of personnel constituting a predetermined population. The data points related to the personnel assigned to the predetermined group based on the personnel information are displayed in a different display mode from the data points related to other personnel, and the scatter plot is displayed, and the personnel assigned to the predetermined group. A display control step for displaying the regression line obtained by the regression analysis on the scatter plot.
Have,
In the selection step, among the remaining items, the item having the highest correlation with the analysis target item for the personnel assigned to the predetermined group is selected as the variable item.
A personnel analysis support method characterized by this. Computer,
A selection means for selecting an item specified by user operation from a plurality of quantitative items in personnel information as an analysis target item and selecting a predetermined item as a variable item from the remaining items.
When displaying a scatter plot and a regression line on the display unit as correlation information indicating the correlation between the analysis target item selected by the selection means and the variable item, the above-mentioned personnel among a plurality of personnel constituting a predetermined population. The data points related to the personnel assigned to the predetermined group based on the personnel information are displayed in a different display mode from the data points related to other personnel, and the scatter plot is displayed, and the personnel assigned to the predetermined group. A display control means for displaying the regression line obtained by the regression analysis on the scatter plot.
To function as
The selection means selects, among the remaining items, the item having the highest correlation with the analysis target item for the personnel assigned to the predetermined group as the variable item.
A program characterized by that.

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