JP2019139402A - Information processing apparatus, program, and information processing system - Google Patents

Abstract

To provide an information processing apparatus, a program, and an information processing system capable of easily analyzing a work situation related to a leaving time.SOLUTION: The information processing apparatus is provided with correlation information generation means for generating, based on attendance information relating to a work status of a plurality of employees, correlation information on a work status for each of target employees among the plurality of employees and leaving time of employees except the target employees of the plurality of employees; and influencer specifying means for, based on the correlation information generated by the correlation information generating means, specifying an influencer affecting at least a part of the leaving time of the plurality of employees from the plurality of employees.SELECTED DRAWING: Figure 7

Description

  The present invention relates to an information processing apparatus, a program, and an information processing system.

  2. Description of the Related Art Conventionally, there is a technique for managing work by storing attendance information related to work status in a storage unit of an information processing device for personnel belonging to a group such as a company organization (for example, Patent Document 1). According to such an information processing device, for example, it is possible to identify a department with a lot of overtime from the leaving time of each person included in the attendance information, and to urge the staff of the department to advance the leaving time. This can lead to measures to reduce overtime hours.

JP 2004-341968 A

  However, in the actual work situation, it is not always possible for each person to freely manage his / her work time. In other words, due to factors such as the hierarchical relationship in the workplace and the interrelationship of the work in charge, the leaving time of each employee may be affected by the leaving time of a specific person (affected person), not after the affected person has left the office. Often times, other employees will not leave the office. In such a case, there is a problem that even if a measure for urging all employees in the department to uniformly move out is used, it is difficult to obtain an effect of reducing overtime unless the affected person's leaving time is advanced.

  An object of the present invention is to provide an information processing apparatus, a program, and an information processing system that can easily analyze a work situation related to work time.

In order to solve the above problems, an information processing apparatus of the present invention provides:
Based on the attendance information related to the working status of a plurality of personnel, for each of the plurality of personnel, the working status of the subject personnel, and the working hours of the personnel excluding the subject personnel among the plurality of personnel Correlation information generating means for generating correlation information related to the correlation with
Based on the correlation information generated by the correlation information generation means, an influencer specifying means for specifying an influencer that has an influence on at least some of the work hours of the plurality of personnel from the plurality of personnel;
Is provided.

  According to the present invention, it is possible to easily analyze the work situation related to the leaving time.

It is a figure which shows schematic structure of a work management system. It is a block diagram which shows the functional structure of an attendance information management server. It is a figure which shows the example of the content of the employee basic information file. It is a figure which shows the example of the content of the stamp information file. It is a block diagram which shows the functional structure of a terminal device. It is a figure which shows the example of an analysis setting screen. It is a figure which shows the example of an analysis result screen. It is a figure which shows the example of an alert screen. It is a flowchart which shows the control procedure of attendance analysis processing. It is a flowchart which shows the control procedure of attendance alert processing. It is a figure which shows the example of the analysis setting screen which concerns on the modification 1. FIG.

  DESCRIPTION OF THE PREFERRED EMBODIMENTS Embodiments according to the information processing apparatus, program, and information processing system of the present invention will be described below with reference to the drawings.

FIG. 1 is a diagram showing a schematic configuration of a work management system 100 according to the present embodiment.
As shown in FIG. 1, a work management system 100 (information processing system) according to the present embodiment includes an attendance information management server 1 (information processing device), a time recorder 2 (time recording device), and a plurality of terminal devices 3. I have. The attendance information management server 1, the time recorder 2, and the terminal device 3 are connected via a communication network 4 so that information communication is possible. The work management system 100 provides a user with a cloud service for managing the work status of a plurality of personnel belonging to an organization. In the following, an example of performing work management of a plurality of employees belonging to a company will be described as a plurality of employees. However, the present invention is not limited to this, and the work management system 100 can manage work of any plurality of persons. Can be applied to.

  The attendance information management server 1 performs various processes such as generation, update, and analysis of attendance information related to the work status of a plurality of employees to be managed, and the result is sent to a predetermined terminal device 3 (for example, a terminal of an organization manager) Output to device 3). Moreover, according to the setting according to the analysis result of time information, the time alert process mentioned later for the terminal device 3 of a predetermined employee is performed.

  The time recorder 2 accepts an operation of the employee at the time of the employee's attendance and leaving work, records (imprints) the attendance time or the attendance time, and transmits data of the time to the attendance information management server 1. The time stamping method of the time recorder 2 is, for example, by reading information on an IC card held by an employee using RFID (Radio Frequency IDentifier) technology, a card ID unique to each IC card, and a time when the information on the IC card is read. Can be used. In addition, various methods such as a method of reading a magnetic card can be used. In the present embodiment, an IC card reading type time recorder 2 is used.

The terminal device 3 is, for example, a terminal device used by employees managed by the work management system 100. Examples of the terminal device 3 include a smartphone, a tablet PC (Personal Computer), a mobile phone, a PDA (Personal Digital Assistant), a notebook PC, and a desktop PC.
Further, the terminal device 3 receives the user's input operation and transmits it to the attendance information management server 1 and displays the information transmitted and received from the attendance information management server 1.

  The communication network 4 is, for example, the Internet, but may be another network such as a LAN (Local Area Network).

FIG. 2 is a block diagram showing a functional configuration of the attendance information management server 1.
The attendance information management server 1 includes a CPU 11 (Central Processing Unit) (correlation information generation means, influencer identification means, notification control means, display control means, computer), a RAM 12 (Random Access Memory), a storage unit 13, and an operation The unit 14, the display unit 15, the communication unit 16, and the bus 17 are provided. Each part of the attendance information management server 1 is connected via a bus 17.

  The CPU 11 controls each unit of the attendance information management server 1. The CPU 11 reads out a designated program from among the system programs and application programs stored in the storage unit 13, develops it 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 capable of writing and reading data, such as an HDD (Hard Disk Drive) and an SSD (Solid State Drive), and stores various programs, files including setting data, and the like. Specifically, the time analysis program 13a, the attendance alert processing program 13b, the employee basic information file 13c, the time stamp information file 13d, the attendance alert setting file 13e, the analysis result file 13f, and the like are stored in the storage unit 13. .
The attendance analysis program 13a is a program for causing the CPU 11 to execute attendance analysis processing described later.
The attendance alert processing program 13b is a program for causing the CPU 11 to execute attendance alert processing described later.
The employee basic information file 13c is a file that includes basic personnel information of employees to be managed.
The time stamp information file 13d is a file including the data of the attendance time and the attendance time of each employee recorded by the time recorder 2.
The attendance alert setting file 13e is a file including various setting data related to attendance alert processing. Specifically, the attendance alert setting file 13e includes settings for the time for executing attendance alert processing and settings for employees to be subject to attendance alert processing.
The analysis result file 13f is a file including information (analysis result information) related to the analysis result by the attendance analysis process.

FIG. 3 is a diagram showing an example of the contents of the employee basic information file 13c.
The employee basic information file 13c includes table data in which information on a plurality of basic items (fields) relating to personnel is stored for each of a plurality of employees to be managed. In this embodiment, items in the employee basic information file 13c include employee number, name, gender, age, department, position, and the like. Among these items, the “employee number” is a unique number that can identify each employee.

FIG. 4 is a diagram showing an example of the contents of the stamping information file 13d.
The time stamp information file 13d includes the data of the attendance time and the leaving time of each employee recorded by the time recorder 2. Specifically, the stamp information file 13d in FIG. 4 includes data of items (fields) such as a card ID, stamp date and time, stamp type, employee number, and name.
Among these, the card ID is an identification number for identifying each IC card that can be read by the time recorder 2 possessed by each employee, and here is the same number as the employee number of the employee who possesses the IC card.
The stamping date and time is data indicating the date and time (the stamping date and time) when the IC card was read by the time recorder 2.
The time stamping type is data indicating whether the time stamping by the time recorder 2 is a work time or a work time. The time type is normally set in the time recorder 2 so that the time stamp is “attendance” at time stamping in a predetermined work time zone, and “working away” at time stamping at a predetermined work time zone.

  Of the above data stored in the storage unit 13, the employee basic information file 13c and the stamp information file 13d constitute the attendance information 131. According to the attendance information 131, it is possible to grasp the work status such as daily attendance time, leave time, and vacation acquisition status of each employee. The attendance information 131 may include more detailed information related to work status, for example, information for management such as business trips, outings and break times.

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

  The display unit 15 includes an LCD (Liquid Crystal Display), an EL (Electro luminescent) display, and the like, and performs various displays according to display information instructed by the CPU 11.

  The communication unit 16 includes 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 devices on the communication network via the communication unit 16.

  In this embodiment, the attendance analysis program 13a, attendance alert processing program 13b, employee basic information file 13c, stamp information file 13d, attendance alert setting file 13e, analysis result file 13f, and the like are stored in the storage unit 13. Although described as a thing, it is not limited to this. For example, the attendance analysis program 13a, the attendance alert processing program 13b, the employee basic information file 13c, the time stamp information file 13d, the attendance alert setting file 13e, and the analysis are connected to another file server or the like that is communicably connected via the communication unit 16. It is good also as a structure which memorize | stores at least one part of the result file 13f.

FIG. 5 is a block diagram illustrating a functional configuration of the terminal device 3.
The terminal device 3 includes a CPU 31, a RAM 32, a storage unit 33, an operation unit 34, a display unit 35, a communication unit 36, a bus 37, and the like. Each unit of the terminal device 3 is connected via a bus 37.

  The CPU 31 controls each unit of the terminal device 3. The CPU 31 reads a designated program from among the system programs and application programs stored in the storage unit 33, develops it in the work area of the RAM 32, and executes various processes according to the program.

  The RAM 32 is, for example, a volatile memory, and has a work area for temporarily storing various programs and data read by the CPU 31.

  The storage unit 33 includes a storage device capable of writing and reading data, such as HDD and SSD, and stores various programs, files including setting data, and the like. Specifically, the storage unit 13 accepts a user input operation, transmits information based on the input operation to the attendance information management server 1, and displays the information transmitted from the attendance information management server 1 and received by the display unit 35. An information display input program 33a (a so-called web browser) that realizes a function to be displayed is included.

  Since the configurations of the operation unit 34, the display unit 35, and the communication unit 36 are the same as the configurations of the operation unit 14, the display unit 15, and the communication unit 16 of the attendance information management server 1, detailed descriptions thereof are omitted.

Next, the operation | movement regarding time analysis by the time information management server 1 is demonstrated.
In the attendance information management server 1 of the present embodiment, the overtime hours of each employee can be acquired based on the contents of the attendance information 131. By referring to the overtime hours, for example, when there is a lot of overtime hours in a specific department, it is possible to lead to measures for reducing overtime hours, such as encouraging employees in the department to advance the working hours.
However, as described above, in the actual work situation, each employee cannot always manage his / her work time freely. In other words, each employee's leaving time may be affected by the leaving time of a specific employee (affected person) due to the hierarchical relationship in the workplace or the relationship between the tasks in charge, not after the affected person leaves the office. And other employees often do not leave the office. In such a case, even if measures for uniformly urging all employees in the department are taken, it is difficult to obtain the effect of reducing overtime unless the affected person's leave time is advanced.

In response to this problem, the attendance information management server 1 according to the present embodiment identifies an influencer who has influenced the leave time of other employees as described above, based on the attendance information 131, in particular, the leave time data. Time analysis processing can be performed.
In addition, the attendance information management server 1 can perform attendance alert processing for performing alert display (notification) for encouraging the employee to be identified at a predetermined time for the terminal device 3 of the identified affected person.
Hereinafter, the attendance analysis process and attendance alert process will be described.

In the attendance analysis process, first, an analysis setting screen 40 for designating an analysis target organization is displayed on the display unit 35 of the terminal device 3.
FIG. 6 is a diagram illustrating an example of the analysis setting screen 40.
On the analysis setting screen 40, a drop-down list 41, an execution button 42, an end button 43, and the like are displayed. The analysis setting screen 40 is an aspect of a personnel selection screen for selecting a plurality of analysis target employees from management target employees.

  The drop-down list 41 is used for designating a target organization for performing time analysis. When an input operation for selecting the drop-down list 41 (for example, an operation for selecting using a pointing device such as a mouse or an operation for bringing a fingertip or the like into contact with a touch panel) is performed, a candidate list of target tissues to be analyzed is displayed. By performing an input operation for further selecting one of the candidates, it is possible to specify a target organization for performing time analysis. In FIG. 6, “Planning Department” is designated as the target organization.

By performing an input operation for selecting the execution button 42 on the analysis setting screen 40, the analysis target specified by the drop-down list 41, that is, a plurality of employees to be analyzed is specified, and attendance analysis is performed on the plurality of employees. Be started.
Also, by performing an input operation for selecting the end button 43, the analysis setting can be ended without starting the attendance analysis.

When the attendance analysis is started, predetermined data processing is performed, and an analysis result screen 50 showing the analysis result is displayed on the display unit 35.
FIG. 7 is a diagram illustrating an example of the analysis result screen 50.
In the analysis result screen 50, a correlation diagram 51, a drop-down list 52, a reference correlation diagram 53, a check box 54 (operation target image), an alert target setting button 55, a print button 56, a save button 57, An end button 58 and the like are displayed.

  The correlation diagram 51 is a scatter diagram showing the correlation of the leaving time between the affected person and other employees in the organization to be analyzed. Specifically, in the correlation diagram 51, an employee who is identified as an affected person by the attendance analysis (here, Taro Yamada, director) 's working time is the vertical axis (first coordinate axis), and the working time of employees other than the affected person is shown horizontally. It is a scatter diagram of an orthogonal coordinate system with an axis (second coordinate axis). The origin in the scatter diagram is the regular work leave time, and the vertical and horizontal work hours are represented by the elapsed time from the regular work time.

  In the correlation diagram 51, the data points of the working hours on the days included in the predetermined period for all employees of the organization specified in the drop-down list 41 in FIG. 6 are displayed (plotted). Here, in the correlation diagram 51, the data points in the region R below the auxiliary line L1 having a slope of 1 indicate the data points of the employees whose work time is later than the affected person. Data points in this region R are data points whose work time may have been affected by the affected person, and are hereinafter referred to as affected data points.

Further, during the correlation diagram 51, a regression line L2 is the result of regression analysis of the impact data points, and the coefficient of determination R ² according to the regression line L2 is displayed.
Here, the determination coefficient R ² represents the accuracy of the result of the regression analysis (regression line L2). The closer to 1, the higher the accuracy of the regression analysis, that is, the stronger the correlation between the analysis axes. Therefore, in the present embodiment, the larger the determination coefficient R ² , the stronger the working time of employees belonging to the analysis target organization is influenced by the working person's working time.
The determination coefficient 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 according to the correlation between two items, and takes a positive value when the two items have a positive correlation. A positive value is taken when there is a positive correlation, and the stronger the relationship, the closer the absolute value is to 1. Accordingly, since the correlation between the two items can also be indicated by the correlation coefficient R, the correlation coefficient R may be displayed on the analysis result screen 50 instead of the determination coefficient R ² .
Analysis result screen 50 correlation diagram is displayed in 51, regression line L2, and the coefficient of determination R ² are employees, except the clock-out times of a particular employee is selected on the vertical axis of the correlation diagram 51, the specific employees It is one aspect | mode of the correlation information which concerns on the correlation with the leaving time of.

The influencer set on the vertical axis in the correlation diagram 51 of the analysis result screen 30 is determined by the following processing.
First, for each employee who belongs to the organization being analyzed (ie, selected as a candidate for the influencer), the employee's leave time and the employee's leave time later than the subject employee The above-described determination coefficient R ² indicating the magnitude of correlation with time is calculated. Then, among all employees belonging to the analysis target organization, the employee having the largest determination coefficient R ² is identified as the influencer.

The drop-down list 52 is used when changing the employee (influencer) set on the vertical axis of the correlation diagram 51. When an input operation for selecting the drop-down list 52 is performed, a candidate list of influencers is displayed. By performing an input operation for further selecting one of the candidates, the employee set on the vertical axis of the correlation diagram 51 is changed. can do. It should be noted that the displayed candidate list is preferably arranged from the top in the descending order of the determination coefficient R ² among all employees belonging to the analysis target organization. In accordance with the change, the data point distribution in the correlation diagram 51, the display of the regression line L2 and the coefficient of determination R ² is updated to the contents corresponding to the changed affecting person. By changing the vertical axis of the correlation diagram 51 by using the drop-down list 52, it is possible to confirm the magnitude of the influence given to the other employee's leaving time for employees other than the employee specified as an affected person by default. it can.

The reference correlation diagram 53 and the check box 54 are used to further narrow the range of the analysis target. Specifically, it is used when the analysis target is narrowed down to any of the subgroups (planning first section, planning second section, planning third section) included in the planning department to be analyzed.
The four reference correlation diagrams 53 displayed in FIG. 7 are correlation diagrams 51 when the analysis target is the entire planning department and the planning department is the planning first section, the planning second section, and the planning third section, respectively. FIG. By selecting the check box 54 corresponding to each reference correlation diagram 53, the correlation diagram 51 displayed on the left side of the analysis result screen 50 is switched to the contents of the reference correlation diagram 53 corresponding to the selected check box 54. Can do. Thereby, the result of attendance analysis in a desired subgroup in the planning department can be confirmed with a simple operation.
As described above, the analysis result screen 50 including the reference correlation diagram 53 and the check box 54 can further specify the employee to be analyzed. Therefore, the analysis result screen 50 is an aspect of a personnel selection screen for selecting a plurality of personnel to be analyzed from the personnel to be managed.

By performing an input operation for selecting the alert target setting button 55, the employee selected on the vertical axis of the correlation diagram 51 can be identified as an influencer and set as a target for attendance alert processing. Specifically, the employee identified as the influencer is added as a subject of the attendance alert process in the attendance alert setting file 13e stored in the storage unit 13.
By performing an input operation to select the print button 56, a predetermined part or the entire display content of the analysis result screen 50 can be printed by an external printing apparatus.
By performing an input operation for selecting the save button 57, the analysis result information indicating the analysis result can be stored in the analysis result file 13f of the storage unit 13. Here, the analysis result information, for example data relating to each data point in the correlation chart 51, data representing the regression line L2, which is data of the coefficient of determination R ^2.
By performing an input operation for selecting the end button 58, the display of the analysis result screen 50 can be ended and the screen can be changed to a predetermined screen.

  When an affected person is specified by such time analysis processing and set in the time alert setting file 13e, the time alert processing is executed at a predetermined time. In the attendance alert process, an alert screen 60 urging employees to leave the office as shown in FIG. 8 is displayed on the display unit 35 of the terminal device 3 of the employee identified as an affected person.

Next, a control procedure by the CPU 11 for attendance analysis processing will be described.
FIG. 9 is a flowchart showing the control procedure of the attendance analysis process.
The attendance analysis process is started when an instruction to execute attendance analysis is input to the attendance information management server 1 from any of the terminal devices 3.

  When the attendance analysis process is started, the CPU 11 displays an analysis setting screen 40 on the display unit 35 of the terminal device 3 and accepts an input operation for selecting a target organization for attendance analysis (step S101).

The CPU 11 determines whether or not an input operation for selecting the execution button 42 on the analysis setting screen 40 has been performed (step S102). If the input operation has been performed ("YES" in step S102), the CPU 11 is designated. The correlation analysis process described above is executed for the target tissue, and the analysis result screen 50 is displayed on the display unit 35 (step S103). That is, the CPU 11 sequentially selects each employee belonging to the analysis target organization as an influencer candidate, and among the data points related to the selected employee's leaving time and other employee's leaving time, the influence data in the region R. calculating the coefficient of determination R ² performs a regression analysis of points. Then, the employee having the largest determination coefficient R ² is identified as an influencer, and an analysis result screen 50 including a correlation diagram 51 with the affected person's leaving time as the vertical axis is displayed on the display unit 35.
If an input operation for changing the vertical axis (influencer) of the correlation diagram 51 is performed from the drop-down list 52 while the analysis result screen 50 is being displayed, the CPU 11 correlates with the change according to the change. updating the data point distribution, the display of the regression line L2 and the coefficient of determination R ^2, the content corresponding to the affected person after the change in the. Also check during the display of the analysis result screen 50, when an input operation is performed to select the check box 54, CPU 11 is a correlation diagram 51, the display contents of the regression line L2 and the coefficient of determination R ^2, is selected Switch to the contents of the reference correlation diagram 53 corresponding to the box 54.
If it is determined that the input operation for selecting the execution button 42 has not been performed ("NO" in step S102), the CPU 11 executes the process of step S102 again.

  The CPU 11 determines whether or not an input operation has been performed on the alert target setting button 55 (step S104). If it is determined that the input operation has been performed ("YES" in step S104), the vertical axis of the correlation diagram 51 is displayed. The employee set on the axis is added as a subject of the attendance alert process in the attendance alert setting file 13e (step S105).

  When the process of step S105 is completed, or when it is determined in the process of step S104 that the input operation to the alert target setting button 55 has not been performed (“NO” in step S104), the CPU 11 presses the save button 57. It is determined whether or not an input operation to be selected has been performed (step S106). If it is determined that the input operation has been performed (“YES” in step S106), the CPU 11 generates an analysis result file 13f and stores it in the storage unit 13 (step S107).

  When the process of step S107 is completed or when it is determined that the input operation has not been performed in the process of step S106 ("NO" in step S106), the CPU 11 performs an input operation for selecting the end button 58. When it is determined that the input operation has not been performed ("NO" in step S108), the process returns to step S104, and it is determined that the input operation has been performed. ("YES" in step S108), the attendance analysis process is terminated.

FIG. 10 is a flowchart showing a control procedure for attendance alert processing.
The attendance alert process is performed when any employee is set as the attendance alert process target in the attendance alert setting file 13e.

  When the attendance alert process is started, the CPU 11 refers to the attendance alert setting file 13e and acquires alert settings (step S201). The alert settings acquired here are, as described above, the time at which the alert is performed and the employee to whom the alert is performed.

The CPU 11 determines whether or not the current time is the alert setting time (step S202). When it is determined that the current time is not the alert time (“NO” in step S202), the CPU 11 executes the process of step S202 again, and when it is determined that the current time is the alert time ( If “YES” in step S202), the alert screen 60 is displayed on the display unit 35 of the terminal device 3 of the employee set as the alert target (step S203).
When the process of step S203 ends, the CPU 11 ends the attendance alert process.

(Modification 1)
Next, the modification 1 of the said embodiment is demonstrated.
In the above embodiment, the influencer is specified based on the part corresponding to all the days included in the predetermined period in the attendance information 131, but instead of this, the predetermined condition in the attendance information 131 is determined. The influencer may be specified based on only the part corresponding to the day that satisfies the condition.
For example, as shown in FIG. 11, a check box 44 (operation target image) for selecting a day condition to be analyzed is displayed on the analysis setting screen 40 and designated by an input operation on the check box 44. The attendance analysis may be performed on the basis of only the work status on the day that satisfies the condition (in the example of FIG. 11, the day of the day that is checked) and reflected on the analysis result screen 50. As conditions for the analysis target day, weather, month, date (early, middle, late, etc.) may be used in addition to the day of the week shown in FIG.
Further, the operation target image for selecting the above condition is not limited to the check box, and another operation target image such as a drop-down list may be used.
The analysis setting screen 40 including the check box 44 is an aspect of an analysis target day selection screen for selecting a part of a plurality of days.

(Modification 2)
Next, Modification 2 of the above embodiment will be described.
In the above embodiment, in order to identify the affected person, the correlation analysis between the leaving time of a specific employee and the leaving time of another employee was performed, but in addition to (or instead of) this, a specific employee The affected person may be identified by referring to a comparison result between the leaving time of another employee on the day when the employee was working and the leaving time of another employee on the day when the employee was absent on a vacation or business trip. In other words, the affected person may be identified based on correlation information relating to the correlation between the working status including the attendance and absence status of the target employee and the leaving time of the employee excluding the target employee.
Specifically, if a specific employee is working, if the average value of the absence time when the employee is absent is more than a predetermined time than the average value of the other employee's departure time, the specific employee is affected. The processing specified as:

As described above, the attendance information management server 1 according to the embodiment as the information processing apparatus includes the CPU 11, and the CPU 11 targets each of the plurality of employees based on the attendance information 131 related to the work status of the plurality of employees. as the working conditions of the employees of the target, it calculates a determination coefficient R ² of the correlation information according to correlation between the clock-out time employees, excluding the employee object among a plurality of employees (correlation information generating means), calculated Based on the determined determination coefficient R ² , an influencer that affects at least some of the leave times of the plurality of employees is specified from the plurality of employees (influencer specifying means).
As a result, it is possible to easily identify an affected person who has an influence on the leaving time of other employees among a plurality of employees. By implementing measures such as urging employees to work early in this way, it is expected that other employees will be able to work earlier, so it is possible to effectively eliminate unnecessary overtime work for the entire department. Time can be saved. In addition, by taking measures such as encouraging employees in the relevant department to leave the office early regardless of the presence or absence of the affected person, it is possible to reduce the unnecessary overtime hours by shortening the working hours more effectively than before. be able to. Thus, according to the attendance information management server 1 of the above embodiment, it is possible to easily analyze the work situation related to the leaving time.

Further, the CPU 11 calculates a determination coefficient R ² related to the magnitude of correlation between the leaving time of the target employee and the leaving time of the employee whose work time is later than the target employee (correlation information generating unit). The influencer is specified based on the magnitude of the coefficient R ² (the magnitude of the correlation) (influencer specifying means). This makes it possible to analyze the correlation between the affected person's leaving time and the other employee's leaving time, focusing on data points where the affected time may be affected by the affected person. The influencer can be identified by analyzing the magnitude of the influencer's influence.

  Further, the CPU 11 displays an alert screen 60 that prompts the affected person to leave the office at a predetermined time (notification control means). Thereby, the measure for advancing the leaving time of the affected person can be easily executed. As a result, overtime hours for the entire department can be effectively reduced.

  Further, the CPU 11 causes the display unit 35 to display an analysis setting screen 40 and an analysis result screen 50 as a personnel selection screen for selecting the plurality of employees to be analyzed from predetermined management target employees (display control means). ), A plurality of employees to be analyzed are specified based on an input operation from the user on these personnel selection screens (correlation information generating means). Thereby, the target range for analyzing the magnitude of the influence by the influencer can be easily changed.

In the attendance information management server 1 according to the first modification, the attendance information 131 includes information on the work status of a plurality of days, and the CPU 11 is an analysis target for selecting some of the plurality of days. The analysis setting screen 40 as a day selection screen is displayed on the display unit 35 (display control means), and corresponds to the date specified based on the input operation from the user on the analysis setting screen 40 in the attendance information 131. A determination coefficient R ² is calculated based on the portion (correlation information generating means). Thereby, the condition of the day which analyzes the magnitude of the influence by an influencer can be changed easily. Therefore, it is possible to identify the conditions of days when the work time is particularly susceptible to the influencer, so the overtime can be reduced more effectively by taking measures such as encouraging early work on the day that meets the conditions. Can do.

In addition, the attendance analysis program 13a of the above embodiment targets the CPU 11 (computer) provided in the attendance information management server 1 for each of a plurality of employees based on the attendance information 131 related to the work status of the plurality of employees. , decisions and working conditions of the employees of the target, the correlation information generating means for calculating the coefficient of determination R ² as correlation information according to correlation between the clock-out time employees, excluding the employee object among a plurality of employees, the calculated Based on the coefficient R ² , it is made to function as an influencer specifying means for specifying, from a plurality of employees, an influencer affecting at least some of the plurality of employees. By operating the attendance information management server 1 with such a program, it is possible to easily analyze the work situation related to the working hours.

In addition, the work management system 100 (information processing system) of the above embodiment includes a time recorder 2 (time recording device) that records the attendance time and the attendance time of a plurality of employees, and the attendance time and the attendance time recorded by the time recorder 2. And the attendance information management server 1 having a CPU 11 for processing attendance information 131 related to the work status of a plurality of employees based on the attendance information 131 related to the work status of the plurality of employees. each targeting of, calculates the working conditions of the employees of the target, the coefficient of determination R ² as correlation information according to correlation between the clock-out time employees, excluding the employee object among a plurality of employees (generating correlation information Means), based on the calculated determination coefficient R ² , the influencers that have affected at least some of the leave times of the plurality of employees are identified from the plurality of employees ( Influencer identification method). According to such a work management system 100, it is possible to easily analyze the work situation related to the leaving time.

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

The description in the above embodiment is an example of the information processing apparatus, the program, and the information processing system according to the present invention, and the present invention is not limited to this.
For example, in the above embodiment, the magnitude of the correlation between the affected person's leaving time and the other employee's leaving time is analyzed only from the influence data point among the data points in the correlation diagram 51. However, the present invention is not limited to this. For example, you may analyze the correlation of work time based on all the data points.

  In the above embodiment, one influencer is specified. However, a plurality of influencers having a large correlation with the leaving time of another employee may be specified. For example, on the analysis result screen 50, a plurality of correlation diagrams 51 corresponding to each of a plurality of influencers may be displayed side by side. Alternatively, the names of a plurality of identified influencers are displayed side by side in a predetermined area of the analysis result screen 50, and the correlation diagram 51 is displayed on the vertical axis according to the input operation for selecting each influencer. You may make it switch to what. Furthermore, a plurality of correlation diagrams 51 corresponding to each of a plurality of influencers may be displayed on the analysis result screen 50 as reference correlation diagrams 53.

  Also, the attendance alert process is not limited to the process of displaying the alert screen 60 shown in FIG. 8 on the display unit 35 of the terminal device 3, and can be a process of performing other arbitrary notifications that prompt the affected person to leave the office. . For example, it is good also as processing which performs transmission of the electronic mail with respect to an influencer, transmission of the message on a message application, the alerting | reporting by the audio | voice from the speaker of the terminal device 3, etc.

  Moreover, although the said embodiment demonstrated using the example which makes it possible to change the influencer set to the vertical axis | shaft of the correlation diagram 51 with the drop-down list | wrist 52, it is not restricted to this. For example, the influencer candidates may be displayed near the correlation diagram 51, and the influencer set on the vertical axis of the correlation diagram 51 may be switched in accordance with an input operation for selecting the influencer using a radio button or the like. good.

  In the above-described embodiment, an example of deriving a regression line has been described as the regression analysis. However, the present invention is not limited to this, and regression analysis using other various functions such as a quadratic function as a regression equation may be performed. .

  In addition, the detailed configuration and detailed operation of each component of the work management system 100 and the attendance information management server 1 in the above embodiment can be changed as appropriate without departing from the scope of the present invention. is there.

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 equivalents thereof.
The invention described in the scope of claims attached to the application of this application will be added below. The item numbers of the claims described in the appendix are as set forth in the claims attached to the application of this application.
[Appendix]
<Claim 1>
Based on the attendance information related to the working status of a plurality of personnel, for each of the plurality of personnel, the working status of the subject personnel, and the working hours of the personnel excluding the subject personnel among the plurality of personnel Correlation information generating means for generating correlation information related to the correlation with
Based on the correlation information generated by the correlation information generation means, an influencer specifying means for specifying an influencer that has an influence on at least some of the work hours of the plurality of personnel from the plurality of personnel;
An information processing apparatus comprising:
<Claim 2>
The correlation information generation means generates the correlation information related to the magnitude of correlation between the leaving time of the target person and the leaving time of the person whose leave time is later than the target person,
The information processing apparatus according to claim 1, wherein the influencer specifying unit specifies the influencer based on the magnitude of the correlation.
<Claim 3>
The information processing apparatus according to claim 1, further comprising a notification control unit configured to notify the influencer to leave the office at a predetermined time.
<Claim 4>
A display control means for displaying on the display unit a screen for selecting a member for selecting the plurality of personnel to be analyzed from a predetermined number of personnel to be managed;
The information processing apparatus according to claim 1, wherein the correlation information generation unit specifies the plurality of personnel based on an input operation from a user on the personnel selection screen.
<Claim 5>
The attendance information includes information related to the work status of a plurality of days,
The information processing apparatus includes a display control unit that causes a display unit to display an analysis target day selection screen for selecting a part of the plurality of days.
2. The correlation information generating unit generates the correlation information based on a portion corresponding to a date specified based on an input operation from a user on the analysis date selection screen in the attendance information. 4. The information processing apparatus according to any one of items 1 to 3.
<Claim 6>
A computer provided in the information processing apparatus
Based on the attendance information related to the working status of a plurality of personnel, for each of the plurality of personnel, the working status of the subject personnel, and the working hours of the personnel excluding the subject personnel among the plurality of personnel Correlation information generating means for generating correlation information related to correlation with
Based on the correlation information generated by the correlation information generation means, an influencer specifying means for specifying an influencer affecting at least a part of the working hours of the plurality of staff from the plurality of staff,
Program to function as.
<Claim 7>
A time recording device for recording the attendance time and the leaving time of a plurality of personnel;
An information processing device for processing attendance information relating to work status of the plurality of personnel based on the attendance time and the leaving time recorded by the time recording device;
With
The information processing apparatus includes:
Based on the attendance information, for each of the plurality of personnel, the correlation information relating to the correlation between the work status of the target personnel and the work hours of the personnel excluding the target personnel among the plurality of personnel Correlation information generating means for generating
Based on the correlation information generated by the correlation information generation means, an influencer specifying means for specifying an influencer that has an influence on at least some of the work hours of the plurality of personnel from the plurality of personnel;
An information processing system comprising:

1 Attendance information management server (information processing equipment)
11 CPU (correlation information generating means, influencer specifying means, notification control means, display control means)
12 RAM
13 storage unit 13a attendance analysis program 13b attendance alert processing program 13c basic employee information file 13d time stamp information file 13e attendance alert setting file 13f analysis result file 131 attendance information 14 operation unit 15 display unit 16 communication unit 2 time recorder (time recording device)
3 Terminal device 35 Display unit 4 Communication network 40 Analysis setting screen (person selection screen, analysis target date selection screen)
50 Analysis result screen (screen for selecting personnel)
60 Alert screen 100 Work management system (information processing system)

Claims (7)

Based on the attendance information related to the working status of a plurality of personnel, for each of the plurality of personnel, the working status of the subject personnel, and the working hours of the personnel excluding the subject personnel among the plurality of personnel Correlation information generating means for generating correlation information related to the correlation with
Based on the correlation information generated by the correlation information generation means, an influencer specifying means for specifying an influencer that has an influence on at least some of the work hours of the plurality of personnel from the plurality of personnel;
An information processing apparatus comprising: The correlation information generation means generates the correlation information related to the magnitude of correlation between the leaving time of the target person and the leaving time of the person whose leave time is later than the target person,
The information processing apparatus according to claim 1, wherein the influencer specifying unit specifies the influencer based on the magnitude of the correlation.   The information processing apparatus according to claim 1, further comprising a notification control unit configured to notify the influencer to leave the office at a predetermined time. A display control means for displaying on the display unit a screen for selecting a member for selecting the plurality of personnel to be analyzed from a predetermined number of personnel to be managed;
The information processing apparatus according to claim 1, wherein the correlation information generation unit specifies the plurality of personnel based on an input operation from a user on the personnel selection screen. The attendance information includes information related to the work status of a plurality of days,
The information processing apparatus includes a display control unit that causes a display unit to display an analysis target day selection screen for selecting a part of the plurality of days.
2. The correlation information generating unit generates the correlation information based on a portion corresponding to a date specified based on an input operation from a user on the analysis date selection screen in the attendance information. 4. The information processing apparatus according to any one of items 1 to 3. A computer provided in the information processing apparatus
Based on the attendance information related to the working status of a plurality of personnel, for each of the plurality of personnel, the working status of the subject personnel, and the working hours of the personnel excluding the subject personnel among the plurality of personnel Correlation information generating means for generating correlation information related to correlation with
Based on the correlation information generated by the correlation information generation means, an influencer specifying means for specifying an influencer affecting at least a part of the working hours of the plurality of staff from the plurality of staff,
Program to function as. A time recording device for recording the attendance time and the leaving time of a plurality of personnel;
An information processing device for processing attendance information relating to work status of the plurality of personnel based on the attendance time and the leaving time recorded by the time recording device;
With
The information processing apparatus includes:
Based on the attendance information, for each of the plurality of personnel, the correlation information relating to the correlation between the work status of the target personnel and the work hours of the personnel excluding the target personnel among the plurality of personnel Correlation information generating means for generating
Based on the correlation information generated by the correlation information generation means, an influencer specifying means for specifying an influencer that has an influence on at least some of the work hours of the plurality of personnel from the plurality of personnel;
An information processing system comprising:

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