JP2020198031A - Posting management server and posting management system - Google Patents

Abstract

To enable analyzing an organization's action tendency by transmitting/receiving posts in a posting management server.SOLUTION: A posting management server 100 respectively receives posts and/or data of positive responses to the posts from a plurality of terminal devices 300 respectively used by a plurality of users belonging to an organization and transmits the received posts and/or the received data of positive responses to the plurality of terminal devices. The posting management server 100 further includes: a post storage section 131 for storing the posts and/or the data of positive responses; an attribute database 122 for storing attribute information concerning each of users of the plurality of terminal devices 300; a history database 121 for storing the posts and/or the data of positive responses; and an analysis processing section 132 for analyzing an action tendency of the users on the basis of the posts and/or the data of positive responses, and the attribute information.SELECTED DRAWING: Figure 2

Description

The present invention relates to a post management server and a post management system that can analyze a user's behavioral tendency.

In recent years, the "peer bonus" given to the daily contributions of organizational members has been attracting attention. Peer bonuses are rewards (performance salaries) that organizational members give to each other for their work. Fringe81 Co., Ltd. has been providing "Unipos", a system for introducing peer bonuses, as SaaS (Software as a Service) since 2017.

Unipos pays a predetermined number of points to each member of the organization in order to give a peer bonus to the members of the organization such as colleagues. This point must be given to colleagues, etc. during the prescribed period. Each member of the organization praises colleagues who cooperated in their work by using the web page where Unipos users log in or the post management program (chat app) installed on their smartphones and personal computers (PCs). You can send comments and give points. In addition, the praise comment can be viewed by a third party in the organization, and the third party uses the applause function to agree with the praise comment, so that the person who posted the comment and the person who posted the comment Points are awarded to both. Then, based on the total value of points earned by each organization member during a certain period, a peer bonus such as cash is paid to each organization member.

When peer bonus points are given in a conventional post management system such as Unipos, the total value of points given for praise comments and applause for posts is used as the contribution of each organization member to the organization and the organization. It was possible to evaluate it as an engagement with. However, in order to measure the soundness of the organization to which such organizational members belong, the traditional method of conducting surveys on organizational members is the main focus, and it is quantified in real time through daily natural activities. The method of doing this was limited.

Therefore, an object of the present invention is to provide a post management server and a post management system capable of analyzing a user's behavioral tendency through posting and / or giving and receiving a positive reaction by the user.

Each aspect of the present invention is as follows.
(Aspect 1)
The post and / or the positive reaction data to the post are received from the plurality of terminal devices used by the plurality of users belonging to the organization, and the received post and / or the positive reaction data are collected from the plurality of terminals. It is a post management server that sends to the terminal device.
A post storage unit that stores the data of the post and / or the positive reaction, and
An attribute database that stores attribute information about each user of the plurality of terminal devices, and
A history database that stores the data of the posts and / or the positive reactions, and
A post management server including an analysis processing unit that analyzes the user's behavioral tendency regarding the post and / or the positive reaction based on the post and / or the positive reaction data and the attribute information.

(Aspect 2)
The post management server according to the first aspect.
The analysis processing unit is a post management server that generates the behavioral tendency based on the evaluation points given to the post and / or the positive reaction.
(Aspect 3)
The post management server according to the second aspect.
The analysis processing unit is a post management server that generates the behavioral tendency for each attribute of the user or between different attributes based on the attribute information and the evaluation point.
(Aspect 4)
The post management server according to aspect 2 or 3.
The post management server defines the number of evaluation points to be digested or given for each user of the plurality of terminal devices in a predetermined period for the evaluation points.
The analysis processing unit is a post management server that generates a digestion rate related to the quantity of the evaluation points as the behavioral tendency.
(Aspect 5)
The post management server according to the fourth aspect.
The analysis processing unit is a posting management server that generates the digestibility of the evaluation points digested for the posting and / or the positive reaction as the behavioral tendency.

(Aspect 6)
The post management server according to any one of aspects 1 to 5.
The analysis processing unit is a post management server that generates the behavioral tendency for a plurality of attribute information or between different attribute information.
(Aspect 7)
The post management server according to any one of aspects 1 to 6.
The analysis processing unit is a post management server that aggregates the data of the posts and / or the positive reactions in the attribute information unit and generates a summary statistical result of statistical processing.
(Aspect 8)
The post management server according to the seventh aspect.
The post management server, wherein the statistical processing is at least one of mean, standard deviation, median, percentile, and number of occurrences.
(Aspect 9)
The post management server according to any one of aspects 1 to 8.
Based on at least one of the user's job title and department, which is stored in advance as the attribute information, and the data of the posting and / or the positive reaction, the analysis processing unit has the job title, the department to which the user belongs, A post management server that generates the behavioral tendency for at least one of different job titles and each of different departments.
(Aspect 10)
The post management server according to any one of aspects 1 to 9.
The analysis processing unit exchanges the post or the positive reaction between the positions based on at least one of the job title and the department to which the attribute information is held in advance and each data of the post and the positive reaction. A post management server that generates the behavioral tendency for each job title or department with respect to the direction of the post or the ratio of exchanges of the positive reaction across the departments to which the person belongs.

(Aspect 11)
The post management server according to any one of aspects 1 to 10.
A post management server including an output processing unit that outputs the behavioral tendency to the terminal device.
(Aspect 12)
The post and / or the positive reaction data received from the plurality of terminal devices used by the plurality of users belonging to the organization and the plurality of terminal devices, respectively, and the positive reaction to the post are received. It is a post management system including a post management server that transmits reaction data to the plurality of terminal devices.
The post management server is
A post storage unit that stores the data of the post and / or the positive reaction, and
An attribute database that stores attribute information about each user of the plurality of terminal devices, and
A history database that stores the data of the posts and / or the positive reactions, and
A post management system including an analysis processing unit that analyzes the behavioral tendency of the user regarding the post and / or the positive reaction based on the data of the post and / or the positive reaction and the attribute information.

The post management server and the post management system of the present invention make it possible to analyze a user's behavioral tendency through posting and / or giving and receiving a positive reaction by the user.

It is a network diagram including the post management server which concerns on this embodiment. It is a block diagram which shows the post management server and the terminal apparatus in this embodiment. It is a figure which shows the whole processing flow in this embodiment. It is a figure which shows the configuration example of the history database in this embodiment. It is a figure which shows the configuration example of the user attribute database in this embodiment. It is a flow figure which shows the flow example 1 of the post management method in this embodiment. It is a figure which shows the flow example 2 of the post management method in this embodiment. It is a figure which shows the flow example 3 of the post management method in this embodiment. It is a figure which shows the flow example 4 of the post management method in this embodiment. It is a schematic diagram which shows the screen composition example 1 of the terminal apparatus in this embodiment. It is a schematic diagram which shows the screen composition example 2 of the terminal apparatus in this embodiment. It is a figure which shows the screen configuration example 3 of the terminal apparatus in this embodiment. It is a schematic diagram which shows the screen composition example 4 of the terminal apparatus in this embodiment. It is a schematic diagram which shows the screen composition example 5 of the terminal apparatus in this embodiment. It is a figure which shows the screen configuration example 6 of the terminal apparatus in this embodiment. It is a schematic diagram which shows the screen composition example 7 of the terminal apparatus in this embodiment. It is a figure which shows the screen composition example 8 of the terminal apparatus in this embodiment.

An embodiment of the post management server and the post management system of the present invention will be described with reference to the drawings. The corresponding parts in each figure are designated by the same reference numerals, and the description thereof will be omitted as appropriate. In the present embodiment, the job titles are not limited to officers, MGs (managers), GLs (group leaders), and no job titles, and any job titles, for example, executive officers, general managers, general managers, section chiefs, and chiefs. , Chief, etc. can also be included. In the present embodiment, the organization is not limited to the same company, but may include a group composed of a plurality of companies having some relationship (for example, capital or business relationship).

[Overview]
The post management server in the present embodiment is a post from a terminal device operated by an organization member (with evaluation points to other organization members in the organization) and a positive reaction to such a post (in the organization, in the organization). Further, it is provided with an analysis processing unit that analyzes the behavioral tendency of the organizational member based on each data of the other organizational member).

The post management server uses this analysis processing unit to analyze the behavioral tendencies regarding the above-mentioned posts and positive reactions for each attribute of such organizational members (eg, position, position, or department) or between different attributes. Then, the processing result obtained by this analysis is transmitted to the terminal device in a displayable manner as information on the behavioral tendency of the member of the organization.

[Network configuration]
FIG. 1 shows an example of a network configuration including the post management server 100 of the present embodiment. Here, the network system including the post management server 100 is illustrated as the post management system 1000. In this case, the post management system 1000 is composed of a post management server 100 and a plurality of terminal devices 300 (300A, 300B) connected to the post management server 100 via a network 200. The plurality of terminal devices 300 can be arbitrary terminal devices capable of communicating with the post management server 100, such as a mobile terminal device 300A such as a smartphone or a tablet terminal, or a personal computer (PC) 300B.

[System block diagram]
FIG. 2 shows a block diagram of each of the post management server 100 and the terminal device 300 constituting the post management system 1000. The post management system 1000 can be assumed to be a system that provides "Unipos", which is the introduction / operation system of the peer bonus system described above, to each company via the network 200.

In this case, it is assumed that the post management server 100 is the above-mentioned Unipos service providing server device, and the terminal device 300 is a client terminal used by a company that uses the Unipos service. Therefore, the user of the terminal device 300 becomes an organizational member of the organization.

The post management server 100 has a communication device 110 that communicates with a plurality of terminal devices 300 regarding posting and / or a positive reaction, and a posting or a positive reaction received from the plurality of terminal devices 300 via the communication device 110. In the database of the storage device 120, the storage device 120 that holds each data of the above, the processing related to the posting and the positive reaction received from the terminal device 300, the attribute information that is held in advance about the user related to such posting and the positive reaction, and the database of the storage device 120. An analysis process that analyzes behavioral tendencies related to posts and positive reactions for each user attribute or between different attributes based on each data of posts and / or positive reactions to be retained, and a process obtained by this analysis process. It includes, for example, an arithmetic device 130 that controls an output process for outputting the result to the terminal device 300.

The arithmetic unit 130 analyzes the post storage unit 131 that saves the received logs of the plurality of posts and applause in the history database 121, and analyzes the saved logs of the plurality of posts and applause to generate a processing result including summary statistics. It is provided with an analysis processing unit 132 for processing and an output processing unit 133 for processing and outputting summary statistics into a graph. The summary statistic in the present embodiment is a value obtained by aggregating and statistically processing user behavior history data (posting and / or positive reaction history data) in units of job title and department attribute information. The statistical processing method can be arbitrarily selected from the mean value, standard deviation, median value, percentile, number of occurrences, and the like and displayed on the graph. Aggregation of attribute units can also be displayed in a graph in units of pairs such as attributes such as the number of card postings between job titles and departments when generating summary statistics such as the number of card postings for each job title and department.

The storage device 120 stores a history database 121 that holds each data of the above-mentioned posts and positive reactions, and a user attribute database 122 that holds attribute information about the user (eg, the title and department of the user in a predetermined organization). It is assumed that The post management server 100 may be configured as a single server or as a cloud server.

On the other hand, the terminal device 300 includes a communication device 310 that communicates with the post management server 100, and a post management application (post management program) 320 that manages or controls posts, applause, and the like and gives evaluation points (peer bonuses). I have. As described above, the terminal device 300 can assume, for example, a situation in which an organizational member belonging to a certain company is a user.

Therefore, the users of the terminal device 300 specify the value (quantity) of the evaluation points according to their contribution to the work to the colleagues (both superiors, colleagues, and subordinates) in the workplace, and execute the point awarding process. .. In addition, when other users who browse such posts between users on the terminal device 300 have a positive impression on the post, a predetermined action (action corresponding to a positive reaction, for example, an applause icon) Click) is executed, and evaluation points are also given as needed.

[Overall processing flow]
The overall processing in the post management system 1000 according to the present embodiment will be described with reference to the overall processing flow of FIG. In step S301, the post management server 100 stores the attribute information of the plurality of users such as job titles and departments set in advance in the database (user attribute database 122). In step S302, when card posting, applause, or granting of evaluation points is executed using the posting management application 320 on the terminal device 300 such as the mobile terminal 300A / PC300B, the communication device 310 performs the executed card posting. , Applause, or evaluation point assignment data is transmitted to the post management server 100 via the network 200. In step S303, the post management server 100 stores in the database (history database 121) the history of card posting, applause, or granting of evaluation points received via the communication device 110.

In step S304, the analysis processing unit 132 fetches the user attribute information from the user attribute database 122 and further fetches the user history data from the history database 121 for the target organization. In step S305, the analysis processing unit 132 calculates the behavioral tendency including the summary statistics for the historical data related to each attribute such as job title / department or each different attribute. In step SS306, the output processing unit 133 creates a graph illustrating the summary statistics. In step S307, the summary statistics calculated in step S305 and the graph created in step S306 are stored in the storage of the storage device 120. The stored behavioral tendency and graph are transmitted to and displayed on the terminal device 300 according to a request from the predetermined terminal device 300.

[Database configuration]
Subsequently, the configuration of the database included in the post management server 100 of the present embodiment will be described. FIG. 4A is a diagram showing a configuration example of the history database 121 of the present embodiment. In the history database 121, as a result of a user belonging to a certain organization, specifically, an organization member, operating a terminal device 300 to post or applaud, the organization member is another organization member. It is a database that accumulates the data of posts and applause made to.

This history database 121 uses the user's identification information (employee number, name, etc.) as a key to distinguish between posting / applause, posting / applause execution date / time, posting content (praise comment, numerical value of evaluation points given), and posting. It is composed of records containing values such as / identification information of the target person of applause.

Further, FIG. 4B is a diagram showing a configuration example of the user attribute database 122 of the present embodiment. The user attribute database 122 is a database that stores the attribute information of the above-mentioned organizational members.

The user attribute database 122 of the present embodiment is composed of records including values such as the user's job title, department, and point usage frame remaining, using the user's identification information (common to that of the history database 121) as a key. Will be done.

[Flowchart of post management method]
FIG. 5 shows an example of the flow of the posting management method in this embodiment. In this case, in step S301, the terminal device 300 transmits the card posting and applause logs to the posting management server 100.

In card posting, a member of the organization (that is, the poster) recognizes the business contribution to colleagues, subordinates, and bosses in the same department / different department who cooperated, and points according to the size. It is specified and performed.

In addition, this card posting includes a praise comment for the posting partner. The praise comment can also be viewed by a third party within the organization, who can use the applause function to agree with the praise comment. With this approval, the third party will award predetermined evaluation points to the above-mentioned poster and posting partner.

Further, FIG. 9 shows an example of a screen configuration displayed on the terminal device 300 during the above-mentioned posting and applause operation. In FIG. 9, a timeline 340 composed of posts 330a, 300b, and 300c is displayed. In each of the posts 330a, 300b, and 300c, the name of the poster, the text entered by the poster (praise comment), and the number of applause for the text are displayed.

At the top of the timeline 340 are "All" (all posts), "Pickup" (picked up posts described below), "Received" (received posts), and "Sent" (sent posts). It is displayed, and when you select each area by tapping etc., the timeline of the corresponding post is displayed in chronological order in descending order.

Subsequently, in step S302 of FIG. 5, the post management server 100 receives card posts (hereinafter, simply referred to as posts) and applause logs from the plurality of terminal devices 300 via the communication device 110.

Further, in step S303, the post storage unit 131 of the post management server 100 stores the received logs of the plurality of posts and applause in the history database 121.

Further, in step S304, the analysis processing unit 132 of the post management server 100 includes each data of the post and applause held in the history database 121 described above, and the user (that is, the poster and the post target person) related to the post and applause. Based on the attribute information held in the user attribute database 122 regarding the applause performer and the target person), the behavioral tendency regarding posting and applause is analyzed for each attribute of the corresponding user or between different attributes, and a summary statistic is generated. To do. The details and variations of this step S304 will be described later separately based on the flows shown in FIGS. 6 and 7.

Subsequently, in step S305, the output processing unit 133 of the post management server 100 transmits the analysis result indicating the behavioral tendency such as the summary statistics obtained in step S304 by the analysis processing unit 132 to the terminal device 300.

On the other hand, in step S306, the terminal device 300 receives the analysis result from the output processing unit 133 of the post management server 100, and displays this on the display using the post management application 320. Details and variations of the output form of the terminal device 300 will also be described later.

[Processing mode in the analysis processing unit (Example 1 of point digestibility analysis)]
The analysis processing unit 132 in the behavior analysis in step S304 described above includes each user's job title (eg, officer, manager, group leader, etc.) and department (eg, corporate headquarters, sales department, system development department, customer service department). For each attribute, or between different attributes (eg between manager and group leader, between group leader and executive, between corporate headquarters and customer service department, between sales department and system development department, etc.) , At least one of the digestibility from the predetermined point usage limit (for example, 100 points given to each user every month), the digestibility associated with posting, and the digestibility associated with applause. Is calculated as a behavioral tendency.

In such behavior analysis, as shown in the flow example of FIG. 6, the analysis processing unit 132 identifies each user for each job title in the user attribute database 122 in step S401, for example, in a predetermined period such as the latest one month. Each data of the post in which the users became the poster and the applause in which the applause was executed is extracted from the history database 121.

The data extracted here also includes information about the value of the point specified by the user as the poster. In addition, it is assumed that the value of points given to each of the poster and the subject of the post by applause is a predetermined fixed value (of course, it is not limited).

Further, in step S402, the analysis processing unit 132 aggregates the values of the points used (given to the posting target person) by each of the users extracted above, and uses this aggregated value as the value of the point usage frame described above. By dividing by, the point digestion rate for the relevant period of the user is calculated.

FIG. 10 illustrates a screen G10 in which the analysis result of the point digestion rate is transmitted from the post management server 100 to the terminal device 300 and displayed. On this screen G10, as an example, a graph G11 is displayed in which the point digestion rate for each job title is plotted as a bar graph for each department to which the screen G10 belongs.

The point digestion rate calculated here is taken into consideration in combination with posting and applause, but as a breakdown, it is also possible to calculate the point digestion rate by posting and by applause, respectively.

In that case, in step S403 of FIG. 6, when the analysis processing unit 132 aggregates the above-mentioned point values, the posted points are aggregated, and if this is divided by the value of the point usage frame, the point digestion rate by posting is obtained. It can be calculated (see graph G21 on screen G20 in FIG. 11). Similarly, at the time of totaling the above-mentioned point values, the point digestion rate by applause can be calculated by totaling the points by applause and dividing this by the value of the point usage frame (see graph G31 on the screen G30 of FIG. 12). ..

[Processing mode in the analysis processing unit (Example 2 of point digestibility analysis)]
Further, as shown in the flow example of FIG. 7, in step S501, the analysis processing unit 132 sets the point digestion rate between different attributes, for example, for each job title pair (combination of two different job titles) in the user attribute database 122. In addition, each user is specified, and for example, one user of the pair of the post is the poster and the other user of the pair is the post target person in a predetermined period such as the last month (with the applause executor). Each data of (the same applies to the target person) is extracted from the history database 121.

Further, in step S502, the analysis processing unit 132 aggregates the values of points used by one user of the above-extracted job title pair in the posting (given to the other user who is the posting target person), and this aggregated value. Is divided by the value of the above-mentioned point usage frame to calculate the point digestion rate in the corresponding period from one user to the other user in the position pair (see graph G41 on screen G40 in FIG. 13). .. Of course, such processing can be calculated for applause as well.

[Processing mode in the analysis processing section (direction analysis of posting and applause)]
Further, when the analysis processing unit 132 analyzes the behavioral tendency regarding posting and positive reaction for each of different job titles, for example, the ratio of each user posting or applauding to a higher job title is the same. Calculate the percentage of posts and applause to executives and the percentage of posts and applause to lower-ranking executives.

In this case, as shown in the flow example of FIG. 8, in step S601, the analysis processing unit 132 identifies a user of a position that is, for example, the user attribute database 122, and for example, in a predetermined period such as the latest one month, the position is Each data of the post (the same applies to the applause executor and the target person) to which the user is the poster is extracted from the history database 121.

Further, in step S602, the analysis processing unit 132 identifies the job title of the user who was the posting target in the post extracted above in the user attribute database 122, and determines the hierarchical relationship with the job title of the above-mentioned user who is the poster. .. The analysis processing unit 132 shall hold in advance information that defines the hierarchical relationship between job titles.

In step S603, the analysis processing unit 132 posts among the users who became the posting target based on the hierarchical relationship of the title of each posting target person with respect to the title of the above-mentioned user who is the poster specified in the above determination. Count the number of people with higher job titles, the number of people with the same job title, and the number of people with lower job titles than the users.

In step S604, the analysis processing unit 132 divides each value obtained by this count by the total number of posts obtained in the above extraction, so that the ratio of postings, etc. to the higher ranks is the same. The ratio of posting, etc. and the ratio of posting, etc. to lower-ranking managers are calculated respectively (see graph G51 on screen G50 of FIG. 14).

The ratio of posting to the upper ranks, the percentage of postings to the same rank, and the percentage of postings to the lower ranks are shown on the screen G60 of FIG. As described above, in more detail, the posting ratio between each job title may be indicated by the color depth or pattern of each region in the matrix G61. In the example of FIG. 15, the darker the color, the higher the posting ratio.

Further, as shown on the screen G70 of FIG. 16, the ratio of postings across departments to which they belong, that is, between departments, may be shown by job title. In this case, in the candlestick chart G71, the candlestick G72 is the standard deviation section, and each end of the bar line G73 penetrating the candlestick G73 is the lowest value of the posting ratio across departments in the entire position. Shows the highest value. Moreover, the median value of the posting ratio is shown by the line segment G74.

[Transformed form]
Examples of the statistical processing method appropriately used in the processing in the analysis processing unit 132 described in this embodiment based on the flows of FIGS. 5 to 8 include mean value, standard deviation, median value, percentile, and number of occurrences. Either or more than one of the above can be adopted. Further, in the present embodiment, the comparison / analysis is performed by position, but it is also possible to compare / analyze by position instead of the position. The position may be, for example, a general position, a specialist, a management, a management, or the like.

1000 Post management system 100 Post management server 110 Communication device 120 Storage device 121 History database 122 User attribute database 130 Arithmetic device 131 Post storage unit 132 Analysis processing unit 133 Output processing unit 200 Network 300 Terminal equipment 300A Smartphone 300B Personal computer 310 Communication device 320 Post Management App 330 Card Post 340 Timeline

Claims (12)

The post and / or the positive reaction data to the post are received from the plurality of terminal devices used by the plurality of users belonging to the organization, and the received post and / or the positive reaction data are collected from the plurality of terminals. It is a post management server that sends to the terminal device.
A post storage unit that stores the data of the post and / or the positive reaction, and
An attribute database that stores attribute information about each user of the plurality of terminal devices, and
A history database that stores the data of the posts and / or the positive reactions, and
A post management server including an analysis processing unit that analyzes the user's behavioral tendency regarding the post and / or the positive reaction based on the post and / or the positive reaction data and the attribute information. The post management server according to claim 1.
The analysis processing unit is a post management server that generates the behavioral tendency based on the evaluation points given to the post and / or the positive reaction. The post management server according to claim 2.
The analysis processing unit is a post management server that generates the behavioral tendency for each attribute of the user or between different attributes based on the attribute information and the evaluation point. The post management server according to claim 2 or 3.
The post management server defines the number of evaluation points to be digested or given for each user of the plurality of terminal devices in a predetermined period for the evaluation points.
The analysis processing unit is a post management server that generates a digestion rate related to the quantity of the evaluation points as the behavioral tendency. The post management server according to claim 4.
The analysis processing unit is a posting management server that generates the digestibility of the evaluation points digested for the posting and / or the positive reaction as the behavioral tendency. The post management server according to any one of claims 1 to 5.
The analysis processing unit is a post management server that generates the behavioral tendency for a plurality of attribute information or between different attribute information. The post management server according to any one of claims 1 to 6.
The analysis processing unit is a post management server that aggregates the data of the posts and / or the positive reactions in the attribute information unit and generates a summary statistic for statistical processing. The post management server according to claim 7.
The post management server, wherein the statistical processing is at least one of mean, standard deviation, median, percentile, and number of occurrences. The post management server according to any one of claims 1 to 8.
Based on at least one of the user's job title and department, which is stored in advance as the attribute information, and the data of the posting and / or the positive reaction, the analysis processing unit has the job title, the department to which the user belongs, A post management server that generates the behavioral tendency for at least one of different job titles and each of different departments. The post management server according to any one of claims 1 to 9.
The analysis processing unit exchanges the post or the positive reaction between the positions based on at least one of the job title and the department to which the attribute information is held in advance and each data of the post and the positive reaction. A post management server that generates the behavioral tendency for each job title or department with respect to the direction of the post or the ratio of exchanges of the positive reaction across the departments to which the person belongs. The post management server according to any one of claims 1 to 10.
A post management server including an output processing unit that outputs the behavioral tendency to the terminal device. The post and / or the positive reaction data received from the plurality of terminal devices used by the plurality of users belonging to the organization and the plurality of terminal devices, respectively, and the positive reaction to the post are received. It is a post management system including a post management server that transmits reaction data to the plurality of terminal devices.
The post management server is
A post storage unit that stores the data of the post and / or the positive reaction, and
An attribute database that stores attribute information about each user of the plurality of terminal devices, and
A history database that stores the data of the posts and / or the positive reactions, and
A post management system including an analysis processing unit that analyzes the behavioral tendency of the user regarding the post and / or the positive reaction based on the data of the post and / or the positive reaction and the attribute information.

Images