JP2008009888A - Group-to-group relation analysis system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To enable an analyzer to easily acquire deviation of involvement of each group in a meeting between groups. <P>SOLUTION: An employee information holding part 4 holds employee information in which identification information of a plurality of members constituting a group is associated with identification information of the group, and a meeting record holding part 2 holds meeting record information recording, for each meeting performed by a plurality of members, identification information of each member who participates in the meeting concerned. An analysis processing part 7 calculates, based on the meeting record information and the employee information, at least a difference in number of participants showing a difference between the number of participated members of one group and the number of participated members of the other group or a participation ratio showing the ratio of the number of participants from one group to the total number of members of the group concerned as a group-to-group relation value, and an analysis result output part 8 visualizes and outputs the group-to-group relation value calculated for each meeting between groups in association with the meeting concerned. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to an intergroup relationship analysis system, an intergroup relationship analysis program, and a meeting record program.

2. Description of the Related Art Conventionally, inventions for analyzing information transmission between groups such as departments and projects in an organization have been proposed.
For example, an inter-department information transmission frequency, which is a frequency at which information is exchanged between each of a plurality of departments in an organization, and group specification data that defines a group including one or more departments in the organization are obtained. The inter-group information transmission frequency is calculated based on the inter-group information transmission frequency, and the efficiency of the organizational structure specified by the group specification data is calculated based on the inter-group information transmission frequency. An invention has been proposed which aims to allow the efficiency of the tissue structure to be quantitatively evaluated by calculating (see Patent Document 1).

Further, for example, in response to the transmission of a message from any terminal, communication information related to the message is stored in the communication information accumulation unit, and based on this accumulated information, the project personnel An invention has been proposed that aims to support the prediction of project risk related to communication between project parties by outputting analysis information representing the number of message transmissions in time series (Patent Document 2). reference.).
JP 2006-48142 A JP 2004-127140 A

  For example, a group composed of units such as a department, a section, and a project team may be required to work in cooperation with other groups when performing business. In collaborative work, for example, a joint monthly report with the participation of all members of each group, a conference in which a similar number of people from each group participate, and several people in one group are in the other group Various meetings such as briefing sessions to explain to all of them are held. In such a meeting, for example, the number of participants from each other's group is the same in the meeting, whereas the group in the explanation side has a smaller number of participants than the group in the side receiving the explanation. In general, due to differences in the type of meeting and the role of the group in the meeting, the degree of involvement in the meeting will be biased among the groups.

Here, if the bias of each group's involvement in the meetings between groups is known, for example, the type of meeting and the role of each group in the meeting can be grasped without going into the content of information exchanged at the meeting. Furthermore, it is possible to analyze the degree of smoothness of each group's business by examining the bias in the relationship in relation to the business content and business phase of each group.
However, no technology has been proposed so far that can easily grasp the bias of each group's involvement in the meetings between groups.

  The present invention has been made in view of the above-described conventional circumstances, and it is an object of the present invention to enable an analyst to easily grasp the bias of the relationship of each group with respect to a meeting between groups.

  The present invention is realized as an intergroup relationship analysis system, an intergroup relationship analysis program, and a meeting recording program having the following characteristic configurations.

  The inter-group relationship analysis system according to claim 1 is performed by member information holding means for holding the identification information of a plurality of members constituting the group and the identification information of the group in association with each other, and a plurality of members. Based on each information of the meeting record holding means for holding the meeting record information recording the identification information of each member who participated in the meeting for each meeting, and the meeting record holding means and the member information holding means, In a meeting between groups, the difference in the number of participants indicating the difference between the number of participants in one group and the number of participants in the other group, or the number of participants from that group relative to the total number of members in the group. Inter-group relationship calculation means for calculating at least one of the participation ratios indicating the ratio as the inter-group relationship value, and the inter-group relationship that outputs the relationship value calculated for the association between the groups in association with the association Characterized by comprising a power means.

  The inter-group relationship analysis system according to claim 2 is the inter-group relationship analysis system according to claim 1, wherein the inter-group relationship calculation means calculates a member weight set in advance for each member from each group. The difference in the number of participants is calculated in consideration of the above.

  The inter-group relationship analysis system according to claim 3 is the inter-group relationship analysis system according to claim 1 or 2, wherein the identification information of the place where the meeting is held is recorded in the meeting record information, and The identification information is associated with the identification information of the place managed by the group, and the inter-group relationship calculating means is a place set in advance for the place as the number of participants from the group managing the place where the meeting was held It is characterized in that the difference in the number of participants is calculated in consideration of the weight.

  The inter-group relationship analysis system according to claim 4 is the inter-group relationship analysis system according to any one of claims 1 to 3, wherein time information indicating a meeting time is included in the meeting record information. Recorded, and the intergroup relationship calculation means calculates the intergroup relationship value related to the meeting held during the target period, taking into account the difference in the number of participants related to the meeting held before the target period. It is characterized by.

  The inter-group relationship analysis system according to claim 5 is the inter-group relationship analysis system according to any one of claims 1 to 4, wherein the inter-group relationship calculating means includes two groups among a plurality of groups. The difference in the number of participants between each group is calculated for each combination of, and the inter-group relationship output means divides the region into a plurality of parts in association with the combination, and each part in the region is a group related to the part. It outputs as a display mode according to the participation number difference calculated about the meeting between.

  The inter-group relationship analysis system according to claim 6 is the inter-group relationship analysis system according to claim 1, wherein the inter-group relationship calculating means performs one group among a plurality of groups with another group. The participation ratio from the one group is calculated for each combination of the meeting, and the group relation output means divides the region into a plurality of parts in association with the combination, and each part in the region is related to the part. It outputs as a display mode according to the participation ratio calculated about the meeting between groups.

  The inter-group relationship analysis system according to claim 7 is the inter-group relationship analysis system according to claim 6, wherein the inter-group relationship output means calculates each part in the region for the association between the groups related to the part. It outputs in the form put together according to the participation ratio.

  The inter-group relation analysis system according to claim 8 is the inter-group relation analysis system according to any one of claims 5 to 7, wherein the inter-group relation output means It is characterized by the size according to the total number of members of each group related to the part.

  The inter-group relationship analysis system according to claim 9 is the inter-group relationship analysis system according to any one of claims 1 to 4, wherein time information indicating a meeting time is included in the meeting record information. The inter-group relationship calculating means calculates the difference in the number of participants for each predetermined period based on the meeting record information that records the time within each period, and the inter-group relationship output means It is characterized in that the difference in the number of participants is output in time series.

  The inter-group relationship analysis system according to claim 10 is the inter-group relationship analysis system according to any one of claims 1 to 4, wherein the meeting record information includes time information indicating a time at which the meeting is performed. The inter-group relationship calculating means calculates the difference in the number of participants for each predetermined period based on the meeting record information that records the time within each period, and the inter-group relationship output means The difference between the difference in the number of participants and the preset assumed value is output in a time series.

  The inter-group relationship analysis system according to claim 11 is the inter-group relationship analysis system according to any one of claims 1 to 4, wherein the inter-group relationship calculating means is one group among a plurality of groups. Based on the above, for each meeting of the group and another group, the difference in the number of participants between each group is calculated, and the group relationship output means categorizes the circle in association with each other group, Each fan-shaped part is output as an area corresponding to the difference in the number of participants calculated for a meeting between groups relating to the part.

  The inter-group relationship analysis program according to claim 12 includes member information in which identification information of a plurality of members constituting a group and identification information of the group are associated with each other and a meeting performed by the plurality of members. Based on the meeting record information that records the identification information of each member who participated in the meeting, the number of members of one group and the number of members of the other group Inter-group relationship calculation function for calculating at least one of the difference in the number of participants indicating the difference or the participation ratio indicating the ratio of the number of participants from the group to the total number of members of the group, and the relationship between the groups An intergroup relation output function for visualizing and outputting an intergroup relation value calculated for a meeting in association with the meeting is configured to cause the computer to execute.

  The meeting recording program according to claim 13 includes member information in which identification information of a plurality of members constituting a group and identification information of the group are associated with each other, and for each meeting held by the plurality of members. Based on the meeting record information that records the identification information of each member who participated in the meeting, the difference between the number of members of one group and the number of members of the other group The inter-group relationship calculated for the association between each group by calculating at least one of the participation ratio indicating the difference in the number of participants shown or the ratio of participation from the group to the total number of members of the group as the inter-group relationship value. In order to visualize and output the value in association with the meeting, the computer has a meeting recording function for recording the identification information of each member who participated in the meeting detected every meeting as meeting recording information. And wherein the configuring by executing.

  According to the departmental relationship analysis system of the present invention, at least one of the difference in the number of participants between the groups calculated for the meetings between the groups or the participation ratio from each group is visualized and output in association with the meeting. By viewing the output result, it is possible to grasp the bias of the relationship of each group with respect to the meeting between the groups.

  In calculating the difference in the number of participants, for example, the number of participants may be calculated by adding weight according to the position of each member who participated in the meeting, the place where the meeting was held, the past meeting tendency, etc. Based on each factor related to the meeting, it is possible to adjust the bias of each group's involvement.

  Also, as one of the output modes, the area is divided into a plurality of parts in association with each combination of the two groups, and each part is output as a display mode according to the difference in the number of participants related to the meeting between the corresponding groups. Therefore, the analyst can grasp the bias of the relationship of each group with respect to the meeting between the groups based on the difference in the display mode according to the difference in the number of participants between the groups.

  Also, as one of the output modes, an area is divided into a plurality of parts in association with each combination of a meeting conducted by one group with another group, and each part is divided into a corresponding meeting from one group. Since it is output as a display mode according to the participation ratio, the analyst must grasp the bias of each group's involvement in the meeting between groups based on the difference in the display mode according to the participation ratio from each group. Can do. At this time, since each part in the region can be output as a form that is summarized according to each participation ratio from the corresponding group, it has a strong relationship in the meeting by looking at the output where the group with a large participation ratio is combined You can grasp the group.

  Further, in each of the above outputs, each part in the region can be output as a size corresponding to the total number of members of each corresponding group, so that the output result can be analyzed while taking into account the difference in group scale.

  In addition, as one of the output modes, since the difference in the number of participants for each period is output in time series, the analyst can analyze each group for the meeting between groups based on the change in the difference in the number of participants over time. It is possible to grasp the change in the bias of the relationship.

  Also, as one of the output modes, the difference between the number of participants for each period and the preset assumed value are output in chronological order, so the analyst can change the difference in the number of participants over time. Based on the deviation from the assumed value, it is possible to grasp the degree of deviation from the initial assumption of the change in the bias of each group in relation to the meeting between the groups, and analyze the smoothness of the business of each group.

  In addition, as one of the output modes, the circles are output in a fan shape for each area corresponding to the difference in the number of participants for each meeting between one group and each other group. It is possible to relatively compare the bias of the relationship.

  According to the inter-group relationship analysis program of the present invention, the inter-group relationship analysis apparatus configured by causing a computer to execute the program causes the difference in the number of participants between the groups calculated for the meetings between the groups or the participation from each group. Since at least one of the ratios is visualized and output in association with the meeting, the analyst can grasp the bias of each group's relationship with the meeting between the groups.

  According to the meeting recording program of the present invention, the meeting recording apparatus configured by causing the computer to execute the program accumulates the records of the meeting every time the meeting is performed. It is possible to visualize and output at least one of the difference in the number of participants between groups or the participation ratio from each group calculated for the meetings between the groups, and the analyst can analyze the relationship of each group to the meetings between groups. The latest situation of bias can be grasped.

The present invention will be specifically described based on an example.
As shown in FIG. 1, the inter-departmental relationship analysis system of this example includes a meeting detection unit 1 that detects a meeting that has been held, a meeting record holding unit 2 that holds information on the detected meeting, Department information holding unit 3 that holds information on each department (group), employee information holding part 4 that holds information on employees (members) of each department, and place information holding that holds information on locations used for meetings Part 5, analysis instruction input part 6 for accepting input of analysis instructions from analysts, analysis processing part 7 for calculating inter-department relation values (inter-group relation values) for meetings between departments, calculated for meetings between groups An analysis result output unit 8 that visualizes and outputs the relationship values between departments in association with each meeting is provided.

  In this example, the meeting record holding unit 2, the department information holding unit 3, the employee information holding unit 4, the location information holding unit 5, the analysis instruction input unit 6, the analysis processing unit 7, and the analysis result output unit 8 are combined into one unit. Although the system is configured in the apparatus, the system may be configured by distributing each processing unit to a plurality of apparatuses that can communicate with each other.

  In this example, the inter-group relationship analysis program according to the present invention is executed by using a hardware resource such as an arithmetic processing unit (CPU) or a memory included in the computer, whereby the analysis processing unit 7 and the analysis result output unit 8 may be configured by a dedicated circuit element. In this example, the meeting record holding unit 2 is configured by executing the meeting record program according to the present invention using hardware resources provided in the computer. However, the meeting record holding unit 2 may be configured by a dedicated circuit element. Good.

  The meeting detection unit 1 detects identification information of each employee who participated in the meeting, start time and end time of the meeting, and location information indicating the place where the meeting was held. In this example, the employee identification information recorded on the card possessed by each employee who enters and leaves the room is wirelessly read, so that these employees can meet in the room. The reader that detects the meeting and detects the meeting is used as the meeting detection unit 1, but another apparatus may be used as the meeting detection unit 1. For example, the exchange of electronic mail can be regarded as a meeting, or an electronic conference held in a conference room virtually installed on the electronic system can be regarded as a meeting, and each computer on which these computers operate can be used as the meeting detection unit 1. .

The meeting record holding unit 2 accumulates and holds meeting record information in which information related to the meeting is recorded in response to the detection of the meeting by the meeting detection unit 1.
As shown in FIG. 2, the meeting record information is information based on one of a plurality of employees who participated in the meeting, and is identification information of the employee of the standard. “Employee ID”, “From” indicating the start time of the meeting, “When” indicating the end time of the meeting, “Where” which is the identification information of the place where the meeting was held, and identification of other employees who participated in the meeting Information such as “to whom” is recorded.

The department information holding unit 3 holds department information of each department in the organization.
As shown in FIG. 3, the department information is “department ID” that is identification information of each department, “name” that shows the name of the department, and identification information of a department that has a cooperative relationship with the department. "Collaboration department", etc. are recorded.

The employee information holding unit 4 holds employee information regarding each employee.
As shown in FIG. 4, the employee information includes “employee ID” that is identification information of each employee, “name” of the employee, and identification information of a department to which the employee belongs. Information such as “Affiliation Department” and “Position” and “Position” that classify the employee according to the degree indicating the action guidelines of the department are recorded.

The location information holding unit 5 holds location information of each location used for the meeting.
As shown in FIG. 5, the location information records information such as “location ID” that is identification information of each location and “department ID” that is identification information of a division that manages the location. Yes.

  The analysis instruction input unit 6 receives an analysis instruction input by an analyst using an input device such as a keyboard / mouse. In this example, the period / department to be analyzed, the calculation method of the relationship value between departments, the output format, and the conditions such as the number of meetings, meeting frequency, meeting time, etc. are accepted at the time of analysis instruction. However, these may be set in advance.

  The analysis processing unit 7 includes a meeting relationship table creating unit 71, a meeting relationship extracting unit 72, and an inter-department relationship calculating unit 73, in order to calculate an inter-department relationship value based on the number of participants from each department. I have.

The meeting relation table preparation unit 71 refers to the meeting record information and related information of the meeting held within the analysis target period instructed by the analyst, and aggregates the number of participants in the meeting for each department. Create a relationship table.
The meeting relation extraction unit 72 extracts, from the meeting relation table, the number of participants from each department in the meeting between the two departments in each department to be analyzed instructed by the analyst.
The inter-department relationship calculation unit 73 calculates the inter-department relationship value based on the extracted number of participants from each other.
Note that the meeting relationship extraction unit 72 and the inter-department relationship calculation unit 73 process all combinations of two departments in each instructed analysis target department.

  The analysis result output unit 8 provides output information for visualizing and outputting the inter-department relation value calculated for the meeting between the departments to each meeting, for example, to a display device such as a liquid crystal screen and to the screen For example, the information is displayed and output to a printing apparatus and printed on paper.

  The flow of processing by the meeting diversity analysis system of this example will be described separately for meeting recording processing and analysis output processing.

Meeting record processing is performed in the following procedure.
For example, when the employee “U-1111” is present in the room “R-001” and the reading device (meeting detection unit 1) provided in the room detects the entry / exit of the employee “U-2222”. The detected information is transmitted to the meeting record holding unit 2, and the meeting record holding unit 2 regards these employees as meeting from the time of entering the room to the time of leaving the room, and accumulates the record as meeting record information. That is, as shown in the first case of the data example in FIG. 2, the employee “U-1111” is in the room “R-001” from 12 o'clock on March 15, 2005 to 12:15 in the employee “U”. -2222 "is stored as meeting record information recording the meeting.

The analysis output process is performed according to the following procedure.
When the analysis instruction input unit 6 receives an analysis instruction from the analyst, the meeting relationship table creation unit 71 is specified from the analysis target period and the analysis target department in the meeting record information accumulated in the meeting record holding unit 2. Based on the meeting record information, a meeting relation table is created in which the number of participants in each meeting is aggregated for each department.

In this example, as shown in FIG. 6 and FIG. 7, the association relation table is composed of a matrix in which rows and columns are each department to be analyzed, and each value in the matrix is a department and a column on the row side. This represents the number of participants from the front-side department in the meeting with the side department.
That is, when three people in department A and three people in department B meet as shown in FIG. 7 (a1), as shown in FIG. 7 (b1), the value of the department B column in the department A row And the department A column of the department B row is “3”. Also, as shown in FIG. 7 (a2), when five people in department A meet one person in department B, as shown in FIG. 7 (b2), the value of the department B column in the department A row Is “1”, and the department A column of the department B row is “5”. In addition, when the officers are present at the meeting as shown in FIG. 7 (a3), the officers are more influential in the meeting than the non-officers, so as shown in FIG. 7 (b3) It is also possible to add a correction such as adding the weight of a post officer, which will be described later, to the number of participants on the side attending (in this example, the B section).

Next, the meeting relationship extraction unit 72 extracts the number of participants from the two boxes in the meeting relationship table representing the number of participants from each section in the meeting between the two sections. That is, in the case of a meeting between the A department and the B department, each value of the A row B column and the B row A column is extracted.
Then, the inter-department relationship calculation unit 73 calculates the inter-department relationship value based on the extracted number of participants. In this example, the difference in the number of participants, which is the difference in the number of participants from each department, is calculated as the inter-department relation value.
The meeting relationship extraction unit 72 and the inter-department relationship calculation unit 73 perform the above-described processing for all combinations of two departments, and calculate inter-department relationship values for each combination of the two departments.

  Thereafter, as shown in FIG. 9, the analysis result output unit 8 divides the area into a matrix similar to the meeting relation table, and outputs each section in the area as a display mode corresponding to the corresponding inter-department relation value. To process. In this example, when the absolute value of the relationship value between departments (participant difference) is less than 5, the background color is defined as “weak”, 5 to less than 10 is the background color defined as “medium”, and 10 or more is The background color defined as “strong” is output in a table format that represents the difference in the number of participants in each department (bias of the degree of involvement) by the background color of each section. In addition, since the background color of each section is determined by the absolute value of the difference in the number of participants, the sections that have a correspondence relationship with respect to the diagonal line represented by the broken line in the figure have the same background color, and the display mode is line symmetrical It has become.

  The analyst can grasp the bias of the relation of each department with respect to the meeting between departments by looking at the output result in this tabular format (line symmetry). FIG. 10 shows another output example by tabular output (line symmetry). In the case of FIG. 10 (a), most of the sections of the area are “weak” background colors, and any section However, it can be understood that the difference in the number of participants is small and the degree of involvement is the same, and it can be analyzed that each department is meeting with the same position and influence. In the case of FIG. 10B, the section related to the department B has a background color of “strong”, and the department B has a large difference in the number of participants from any other department, and there is a difference in relation to other departments. Therefore, it can be analyzed that the position and influence of the B section are different from those of other sections.

The calculation process of the inter-department relation value will be specifically described with reference to FIG.
FIG. 8 shows an example in which the inter-department relation value is calculated using the number of participants for the part enclosed by the broken line in FIG. 6 (part relating to the meeting performed by department A). 8A is used as an example to explain the meaning of the items in the figure. The “A” and “B” rows represent the meetings between the department A and the department B, and the column “→ (right arrow)”. The value “5” indicates that five people from the department A participate, and the value “5” in the “← (left arrow)” column indicates that one person from the department B participates. The value “+4” represents the inter-department relation value (participant difference) between the departments AB calculated from the number of participants.

FIG. 8A shows an example of calculating the relationship value between departments by simple comparison of the number of participants.
That is, for example, in the case of a meeting between department A and department B, “+4” obtained by subtracting the number of participants “1” from department B from “5” is calculated as the inter-department relation value. Yes.

FIG. 8B shows an example of calculating the inter-department relation value in consideration of the positions of the participants.
In this example, when the participant has a manager, the number of participants is calculated by multiplying the number of managers by the title weight “5”. For example, in the case of a meeting between the department A and the department B, one executive from the department B participated, and the number of participants in the department A “5” was subtracted from the number of participants in the department B “1 × 5”. “0” is calculated as the inter-department relation value. Whether or not the employee who participated in the meeting is a manager is determined based on the “title” and “position” of the employee information of the employee. Note that the position weights may be varied depending on the height of the position.

FIG. 8C shows an example in which the inter-department relation value is calculated in consideration of the place where the meeting is held.
In this example, a place weight “5” is added to the number of participants on the department side having jurisdiction over the meeting place. For example, in the case of a meeting between the department A and the department B, the meeting place is a place under the jurisdiction of the department A, and the number of participants in the department B from the result of adding the place weight “5” to the number of participants “5” in the department A “+9” obtained by subtracting “1” is calculated as the inter-department relation value. The meeting place is determined based on the “department ID” of the place information with reference to the place information corresponding to “where” of the meeting record information. The place weight may be added by other methods such as multiplying the number of participants by the place weight.

FIG. 8D shows an example in which the inter-department relationship value is calculated in consideration of past meeting trends.
In this example, when calculating the inter-department relationship value for the current month, if the average value of the inter-department relationship values calculated for each of the past four months exceeds “3”, the past trend weight “ When “5” is added and the value falls below “−3”, the past trend weight “5” is subtracted from the inter-department relation value for the current month. For example, in the case of a meeting between department A and department B, the average value of the relations between departments in the past four months has exceeded “3”, and the difference in the number of participants in department A and department B is “+4”. “+9” with the past trend weight “5” added is calculated as the inter-department relation value for the current month (August). Note that the past trend weight may be added by other methods, such as adding the past trend weight when the inter-department relation value in the past several months continuously exceeds a certain value.

  In this example, the inter-departmental relationship analysis system calculates the participation ratio, which is the ratio of the number of participants from each department with respect to the total number of people in each department, instead of or together with the difference in the number of participants. You can also. The total number of departments is calculated from the number of employee information data in which department IDs for identifying the departments are recorded.

  In this case, as shown in FIG. 11A, the analysis result output unit 8 divides the area into a matrix similar to the association relation table, and the participation ratio (percentage ratio in this example) in each section in the area. Can be output as a display mode. Further, the background color of each section may be made different according to the participation ratio. Unlike the table format (line symmetry), the background color of each section shown in FIG. 11A is based on a diagonal line. The background colors of the sections in the correspondence relationship do not match, and the display mode is axisymmetric.

Analysts look at the output results in this tabular format (non-linear symmetry), and compare the corresponding sections with each other to understand the difference in the participation ratio from each department. In meetings, it can be used to understand the bias of each department's involvement in meetings between departments.
The participation ratio may be displayed in each section of the output in a table format (line symmetry), and analysis can be performed from both the difference in the number of participants and the participation ratio.

  FIG. 11B shows the result of rearranging the departments in order of the participation ratio based on the department A in the output in the table format (non-linear symmetry) shown in FIG. By performing such rearrangement display, since the departments having strong relations are output in a combined form, the analyst sees the output result and says that the relations of departments A, C, and D are strong. Can be analyzed.

  FIG. 12 shows an example in which the size of each section of the output result in the tabular format (line symmetry) is output in a size according to the total number of departments corresponding to each section. Analyzes can be made while taking into account differences in departmental scale. It should be noted that in the output in a tabular format (non-linear symmetry), the size of each section can be set according to the total number of people in the corresponding department.

FIG. 13 shows another output example by the analysis result output unit 8 of this example.
This figure is based on a certain department (department A-3), and the monthly change in the inter-department relation value (participant difference) in the meeting between the reference department and other departments is shown in a line graph format. An example is shown. This enables the analyst to understand changes in the degree of involvement of each department with respect to meetings between departments based on changes in the number of participants over time, and to know changes in the operational status of the reference department. it can. Further, as shown as “Department A-3 vs. Overall Average” in the figure, it is also possible to output the monthly change in the average value of the difference in the number of participants calculated for each department. The analysis processing unit 7 uses the difference in the number of participants for each month based on the meeting record information for each month specified based on “from when” and “until” of the meeting record information for use in the output of FIG. Is calculated.

FIG. 14 shows another output example by the analysis result output unit 8 of this example.
This figure shows the monthly change in the difference between the relationship value (participant difference) in the meeting between the reference department and other departments and the assumed value set in advance for the reference department in the form of a line graph. An example output is shown. As a result, the analyst grasps the degree of deviation from the initial assumption of the change in the bias of each department with respect to the meetings between departments, based on the difference from the assumed change in the difference in the number of participants over time. Yes, you can analyze the smoothness of business in each department. For example, according to (a) of the figure, the month (May, September) indicated by the down arrow in the figure has a large difference from the assumed value, so that it is possible to analyze that some trouble has occurred in the business. In addition, as shown in FIG. 5B, the relationship with a plurality of other departments can be compared and output.

FIG. 15 shows another output example by the analysis result output unit 8 of this example.
15 (a1) to (a3) show the number of participants in the meeting between the reference department A-3 shown in the center of each figure and each department A-5, A-6, A-7 shown in the vicinity. It is an image figure showing bias. That is, for example, in (a1), the number of participants in the meeting between the department A-3 and the department A-5 in June is about the same, and the number of participants in the meeting between the department A-3 and the department A-6 is -3 is greater, and the number of participants in the meetings between the department A-3 and the department A-7 is larger in the department A-3.

  FIGS. (B1) to (b3) show output examples of the images shown in the above (a1) to (a3) in the form of a pie chart, and the reference department A-3 and other departments. Circles are divided by area according to the difference in the number of participants with A-5, A-6, and A-7. That is, as described above, the number of participants in Section A-3 and Section A-5 in June is the same, and the difference in the number of participants is small, and Section A-3, Sections A-6, and A-7 are the number of participants. Since there is a difference and the number of participants is large, the area of the part corresponding to the department A-5 is smaller than the area of the parts corresponding to the departments A-6 and A-7 as shown in FIG. Yes. Therefore, the analyst can relatively compare the bias of the degree of involvement in the meeting between the departments by the difference in the number of participants expressed as the area of each part.

  In the inter-departmental relationship analysis system of this example, the inter-departmental relationship values are calculated by aggregating meetings held within a certain period. For example, attribute information (“April A joint monthly report, etc.), and the meeting record information of a single meeting or a plurality of meetings continuously held on a common agenda is specified by its attribute information, and the specified meeting record information is The inter-department relationship value may be calculated based on the above.

  In addition, in the inter-departmental relationship analysis system of this example, inter-departmental relationship values are calculated for meetings held between departments. For example, for meetings held in other group units such as sections and project teams, A relational value may be calculated. In this case, information indicating a section, a project team, or the like to which each employee belongs may be recorded in the employee information.

It is a figure which shows the structure of the department relationship analysis system which concerns on one Example of this invention. It is a figure explaining meeting record information concerning one example of the present invention. It is a figure explaining the department information which concerns on one Example of this invention. It is a figure explaining the employee information which concerns on one Example of this invention. It is a figure explaining the room information which concerns on one Example of this invention. It is a figure explaining the meeting relation table which concerns on one Example of this invention. It is a figure explaining the meeting relation table which concerns on one Example of this invention. It is a figure explaining calculation of the relation value between departments concerning one example of the present invention. It is a figure which shows the example of an output of the table format (line symmetry) which concerns on one Example of this invention. It is a figure which shows the example of an output of the table format (line symmetry) which concerns on one Example of this invention. It is a figure which shows the example of an output of the table format (non-linear symmetry) which concerns on one Example of this invention. It is a figure which shows the example which made each division in the output of the table | surface format which concerns on one Example of this invention the magnitude | size according to the total number of persons of a department. It is a figure which shows the example of an output of the line graph format which concerns on one Example of this invention. It is a figure which shows the example of an output of the line graph format (compare with assumption value) which concerns on one Example of this invention. It is a figure which shows the example of an output of the pie chart format which concerns on one Example of this invention.

Explanation of symbols

1: meeting detection unit, 2: meeting record holding unit,
3: Department information holding unit, 4: Employee information holding unit,
5: Location information holding unit, 6: Analysis instruction input unit,
7: Analysis processing unit, 8: Analysis result output unit,
71: Meeting relationship table creation unit, 72: Meeting relationship extraction unit,
73: Inter-division relationship calculation unit

Claims (13)

Member information holding means for holding the identification information of a plurality of members constituting the group and the identification information of the group in association with each other;
Meeting record holding means for holding meeting record information in which identification information of each member who participated in the meeting is recorded for each meeting held by a plurality of members;
Participation indicating the difference between the number of participants of one group and the number of members of the other group in a meeting between groups based on the information of the meeting record holding means and the member information holding means An inter-group relationship calculating means for calculating at least one of the participation ratio indicating the difference in the number of persons or the ratio of the number of participants from the group to the total number of members of the group as an inter-group relationship value;
A group relation output means for visualizing and outputting the relation value between groups calculated for the meeting between the groups in association with the meeting;
A group relationship analysis system characterized by   2. The group relation analysis system according to claim 1, wherein the group relation calculation unit calculates a difference in the number of participants by adding a member weight set in advance to the number of participants from each group. . The meeting record information records the identification information of the place where the meeting was held,
The identification information of the group is associated with identification information of a place managed by the group,
The inter-group relationship calculating means calculates a difference in the number of participants by adding a place weight set in advance for the place to the number of participants from the group that manages the place where the meeting is held. Or the group relationship analysis system of Claim 2. The meeting record information records time information indicating the time of the meeting,
The inter-group relationship calculating means calculates the inter-group relationship value related to the meeting held during the target period, taking into account the difference in the number of participants related to the meeting held before the target period. The group relationship analysis system according to any one of claims 1 to 3. The inter-group relationship calculating means calculates a difference in the number of participants between each group for each combination of two groups among a plurality of groups,
The group relation output means divides the region into a plurality of parts in association with the combination, and outputs each part in the region as a display mode corresponding to the difference in the number of participants calculated for the association between the groups related to the part. The group relation analysis system according to any one of claims 1 to 4, wherein the system is a group relation analysis system. The inter-group relationship calculating means calculates a participation ratio from the one group for each combination of a meeting that one group of the plurality of groups performed with another group,
The group relation output means divides an area into a plurality of parts in association with the combination, and outputs each part in the area as a display mode according to the participation ratio calculated for the association between the groups related to the part. The group relationship analysis system according to claim 1, wherein:   7. The group relation analysis according to claim 6, wherein the group relation output means outputs each part in the region in a form in which the parts are summarized according to the participation ratio calculated for the association between the groups related to the part. system.   The said group relation output means makes each part in an area | region the magnitude | size according to the total number of members of each group which concerns on the said part, The any one of Claim 5 thru | or 7 characterized by the above-mentioned. Group relationship analysis system. The meeting record information records time information indicating the time of the meeting,
The inter-group relationship calculating means calculates the difference in the number of participants for each predetermined period based on the meeting record information that records the time within each period,
The group relationship analysis system according to any one of claims 1 to 4, wherein the group relationship output means outputs the calculated difference in the number of participants for each period in time series. The meeting record information records time information indicating the time of the meeting,
The inter-group relationship calculating means calculates the difference in the number of participants for each predetermined period based on the meeting record information that records the time within each period,
The group relation output means outputs the difference between the calculated difference in the number of participants for each period and a preset assumed value in time series, and outputs the difference in time series. The described group relationship analysis system. The inter-group relationship calculating means calculates a difference in the number of participants between each group for each meeting of the group and the other group, based on one group among a plurality of groups,
The group relation output means divides a circle into a fan shape in association with each other group, and outputs each fan-shaped portion as an area corresponding to the difference in the number of participants calculated for the meeting between the groups related to the portion. The group relationship analysis system according to any one of claims 1 to 4, wherein the system is a group relationship analysis system. The member information in which the identification information of a plurality of members constituting the group is associated with the identification information of the group, and the identification information of each member who participated in the meeting for each meeting held by the members. Based on the recorded meeting record information, the difference in the number of participants indicating the difference between the number of participants of one group and the number of participants of the other group in a meeting between groups, or the members of the group An inter-group relationship calculation function for calculating at least one of the participation ratios indicating the ratio of the number of participants from the group to the total number of
A group relation output function for visualizing and outputting the relation value between groups calculated for the meeting between each group in association with the meeting;
A group relationship analysis program configured by causing a computer to execute. The member information in which the identification information of a plurality of members constituting the group is associated with the identification information of the group, and the identification information of each member who participated in the meeting for each meeting held by the members. Based on the recorded meeting record information, the difference in the number of participants indicating the difference between the number of participants of one group and the number of participants of the other group in a meeting between groups, or the members of the group At least one of the participation ratios indicating the ratio of the number of participants from the group to the total number of groups is calculated as the intergroup relation value, and the intergroup relation values calculated for the meetings between the groups are visualized in association with the meetings and output. In order to process, the meeting record function which records the identification information of each member who participated in the meeting detected every meeting as meeting record information,
Meeting recording program configured by causing a computer to execute.

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