JP2022036506A - Organization state identification apparatus, organization state identification method, program, and recording medium - Google Patents

Abstract

To provide an organization state identification apparatus configured to identify a state of an organization.SOLUTION: An organization state identification apparatus 10 includes: an appreciation data acquisition unit 11 which acquires appreciation data transmission history information indicating that one constituent member has sent appreciation data to another constituent member; a network generation unit 12 which generates a constituent member network in an organization to which the constituent members belong, on the basis of the appreciation data transmission history information; a network feature quantity analysis unit 13 which analyzes feature quantity of the constituent member network; and an organization state identification unit 14 which identifies an organization state on the basis of the analyzed feature quantity of the constituent member network.SELECTED DRAWING: Figure 1

Description

The present invention relates to a tissue state identification device, a tissue state identification method, a program, and a recording medium.

Generally, it is said that Japanese people are not good at expressing gratitude to the other person directly. On the other hand, it has also been reported that in an organization such as a company, expressing gratitude to the other party has a positive effect on performance.

For example, Patent Document 1 proposes a system for forming trust among members of an organization through a computer network.

Japanese Unexamined Patent Publication No. 2006-40253

In an organization formed by a plurality of members, a technique capable of grasping the state of the organization is required.

Therefore, an object of the present invention is to provide a tissue state identification device, a tissue state identification method, a program, and a recording medium capable of grasping the state of a tissue.

In order to achieve the above object, the tissue state identification device of the present invention is used.
Includes appreciation data acquisition department, network generation department, network feature analysis department, and organizational state identification department.
The appreciation data acquisition unit acquires appreciation data transmission history information indicating that appreciation data has been transmitted from one member to the other member.
The network generation unit generates a member network in the organization to which the member belongs based on the thank-you data transmission history information.
The network feature amount analysis unit analyzes the feature amount of the member network and analyzes the feature amount.
The tissue state identification unit is a device that identifies the tissue state based on the feature amount of the analyzed member network.

The tissue state identification method of the present invention is
Includes appreciation data acquisition process, network generation process, network feature analysis process, and organizational state identification process.
In the appreciation data acquisition step, the appreciation data transmission history information indicating that the appreciation data has been transmitted from one member to the other member is acquired.
The network generation step generates a member network in the organization to which the member belongs based on the thank-you data transmission history information.
In the network feature amount analysis step, the feature amount of the member network is analyzed.
The tissue state identification step is a method of identifying the tissue state based on the feature amount of the analyzed member network.

According to the present invention, it is possible to grasp the state of a tissue formed by a plurality of members.

FIG. 1 is a block diagram showing a configuration of an example of the device of the first embodiment. FIG. 2 is a block diagram showing an example of the hardware configuration of the apparatus of the first embodiment. FIG. 3 is a flowchart showing an example of processing in the apparatus of the first embodiment. FIG. 4A is a diagram showing an example of appreciation data transmission history information, and FIG. 4B is a diagram showing an example of skill data. FIG. 5 is a diagram showing an example of the generated member network. FIG. 6 is a diagram showing an example of analyzing the feature amount of the member network. FIG. 7 is a diagram showing an example of calculation of mediation centrality. FIG. 8 is a diagram showing an example of calculation of the number of complete graphs. FIG. 9 is a diagram showing an example of calculation of the average shortest distance. FIG. 10 is a schematic diagram showing an example of matching. FIG. 11 is a block diagram showing a configuration of an example of the device of the third embodiment. FIG. 12 is a flowchart showing an example of processing in the apparatus of the third embodiment. FIG. 13 is a schematic view of a display unit in the apparatus of the third embodiment. FIG. 14 is a schematic view of a display unit in the apparatus of the third embodiment. FIG. 15 is a schematic view of a display unit in the apparatus of the third embodiment. FIG. 16 is a schematic view of a display unit in the apparatus of the third embodiment. FIG. 17 is a schematic view of a display unit in the apparatus of the third embodiment. FIG. 18 is a schematic view of a display unit in the apparatus of the third embodiment.

In the tissue state identification device of the present invention, for example,
The network feature amount analysis unit further determines the network type of the member network from the feature amount.
The tissue state identification unit may be in the form of identifying the tissue state based on the network type.

The tissue state identification device of the present invention is, for example,
In addition, it includes a skill data acquisition section and a matching section.
The skill data acquisition department acquires skill data for each instructor and obtains skill data.
The matching unit may have an aspect of matching the organization with the instructor who gives guidance to the organization from among a plurality of the instructors, based on the skill data and the organizational state.

In the tissue state identification method of the present invention, for example,
The network feature amount analysis step further determines the network type of the member network from the feature amount.
The tissue state identification step may be in the form of identifying the tissue state based on the network type.

The tissue state identification method of the present invention is, for example,
Furthermore, it includes a skill data acquisition process and a matching process.
In the skill data acquisition process, skill data is acquired for each instructor, and the skill data is acquired.
The matching step may be an embodiment in which the organization is matched with the instructor who gives guidance to the organization from among a plurality of the instructors, based on the skill data and the organizational state.

The program of the present invention is a program for causing a computer to execute each step of the method of the present invention as a procedure.

The recording medium of the present invention is a computer-readable recording medium on which the program of the present invention is recorded.

In the present invention, the "member" means a member of an organization, and the organization is not particularly limited, and an example of one composed of a plurality of members can be exemplified. Specifically, examples of the members include athletes, employees, students and the like. In addition, examples of the organization include companies, unions, governments, hospitals, sports teams, clubs, schools, and the like. In the present invention, the "leader" means a person who guides an organization, and examples thereof include coaches, instructors, teachers, advisors, and consultants.

Next, an embodiment of the present invention will be described with reference to the drawings. The present invention is not limited to the following embodiments. In each of the following figures, the same parts are designated by the same reference numerals. Further, the explanations of the respective embodiments can be referred to each other unless otherwise specified, and the configurations of the respective embodiments can be combined unless otherwise specified.

[Embodiment 1]
FIG. 1 is a block diagram showing a configuration of an example of the tissue state identification device 10 of the present embodiment. As shown in FIG. 1, the present apparatus 10 includes a thank-you data acquisition unit 11, a network generation unit 12, a network feature amount analysis unit 13, and an organizational state identification unit 14. Further, the apparatus 10 may or may not further include the skill data acquisition unit 15 and the matching unit 16 as an arbitrary configuration, for example.

The device 10 may be, for example, one device including the above-mentioned parts, or may be a device in which the above-mentioned parts can be connected via a communication network. Further, the present device 10 can be connected to an external device described later via the communication network. The communication network is not particularly limited, and a known network can be used, and may be wired or wireless, for example. Examples of the communication line network include an Internet line, WWW (World Wide Web), a telephone line, a LAN (Local Area Network), a SAN (Storage Area Network), a DTN (Delay Total Network), and the like. Examples of wireless communication include WiFi (Wireless Fidelity), Bluetooth (registered trademark) and the like. The wireless communication may be either a form in which each device communicates directly (Ad Hoc communication) or an indirect communication via an access point. The apparatus 10 may be incorporated in the server as a system, for example. Further, the apparatus 10 may be, for example, a personal computer (PC, for example, a desktop type, a notebook type), a terminal (smartphone, a tablet terminal) or the like in which the program of the present invention is installed. Further, the apparatus 10 may be in the form of cloud computing, edge computing, or the like, for example, such that at least one of the above parts is on the server and the other parts are on the terminal.

FIG. 2 illustrates a block diagram of the hardware configuration of the present device 10. The apparatus 10 includes, for example, a central processing unit (CPU, GPU, etc.) 101, a memory 102, a bus 103, a storage device 104, an input device 105, a display device 106, a communication device 107, and the like. Each part of the apparatus 10 is connected to each other via a bus 103 by each interface (I / F).

The central processing unit 101 is responsible for overall control of the apparatus 10. In the present device 10, for example, the program of the present invention and other programs are executed by the central processing unit 101, and various information is read and written. Specifically, for example, the central processing unit 101 functions as a thank-you data acquisition unit 11, a network generation unit 12, a network feature amount analysis unit 13, and an organizational state identification unit 14. Further, the central processing unit 101 also functions as, for example, a skill data acquisition unit 15 and a matching unit 16.

The bus 103 can also be connected to, for example, an external device. Examples of the external device include an external storage device (external database, etc.), a printer, and the like. The device 10 can be connected to an external network (the communication line network) by, for example, a communication device 107 connected to the bus 103, and can also be connected to another device via the external network.

The memory 102 may be, for example, a main memory (main storage device). When the central processing unit 101 performs processing, for example, the memory 102 reads various operation programs such as the program of the present invention stored in the storage device 104 described later, and the central processing unit 101 reads from the memory 102. Receive the data and run the program. The main memory is, for example, a RAM (random access memory). Further, the memory 102 may be, for example, a ROM (read-only memory).

The storage device 104 is also referred to as a so-called auxiliary storage device with respect to the main memory (main storage device), for example. As described above, the storage device 104 stores an operation program including the program of the present invention. The storage device 104 may be, for example, a combination of a recording medium and a drive for reading and writing to the recording medium. The recording medium is not particularly limited, and may be an internal type or an external type, and examples thereof include HD (hard disk), CD-ROM, CD-R, CD-RW, MO, DVD, flash memory, and memory card. Be done. The storage device 104 may be, for example, a hard disk drive (HDD) in which a recording medium and a drive are integrated, and a solid state drive (SSD).

In the present device 10, the memory 102 and the storage device 104 can also store user log information and information acquired from an external database (not shown).

The apparatus 10 may further include, for example, an input device 105 and a display device 106. The input device 105 is, for example, a touch panel, a keyboard, a mouse, or the like. The input device 105 may be in the form of a software keyboard displayed on the display device 106, for example. Examples of the display device 106 include an LED display, a liquid crystal display, a touch display, and the like.

Next, an example of the organizational state identification method of the present embodiment will be described with reference to the flowchart of FIG. The tissue state identification method of the present embodiment is carried out as follows, for example, by using the tissue state identification device 10 of FIG. The tissue state identification method of the present embodiment is not limited to the use of the tissue state identification device 10 of FIG.

First, the appreciation data acquisition unit 11 acquires appreciation data transmission history information indicating that appreciation data has been transmitted from one member to the other member (S11). The gratitude data may be, for example, data expressing gratitude, for example, the type of gratitude (for example, "thank you", "sorry", "praise", "respect", "happy", etc.), the degree of gratitude, etc. Includes thank-you comments. The format of the thank-you data is not particularly limited, and examples thereof include characters, sentences, and images of illustrations. The thank-you data transmission history information may include information such as the transmission date and time of the thank-you data, in addition to the information indicating from whom the thank-you data was transmitted to whom. For example, the thank-you data acquisition unit 11 may acquire the thank-you data itself as the thank-you data transmission history information, may acquire statistical information described later, or log from a terminal that transmits the thank-you data. Information may be obtained. The acquisition format may be, for example, acquired from a database, a server, or the like storing the appreciation data or the like via the communication network, or may be acquired by the member terminal (also referred to as a member terminal). It may be obtained from a thank-you communication device described later. Specifically, the transmission of the appreciation data from one member to the other member will be described in the third embodiment described later. The thank-you data transmission history information acquired by the apparatus 10 may be output to an external database or server via the communication network, or stored in a storage unit such as a memory 102 and a storage device 104. May be good.

Next, the network generation unit 12 generates a member network in the organization to which the member belongs based on the thank-you data transmission history information (S12). The member network is, for example, data showing a relationship (for example, an intimate relationship) between a plurality of members in the organization, and is also referred to as a correlation diagram. The form of the member network is not particularly limited, and for example, among a plurality of members, a line is provided between the one member who has transmitted the appreciation data and the other member who has received the appreciation data. It may be map information connected by.

Next, the network feature amount analysis unit 13 analyzes the feature amount of the member network (S13). The feature amount is not particularly limited, and examples thereof include an index of centrality in the member network (median centrality, degree centrality, approach centrality, eigenvector centrality, etc.), number of complete graphs, average shortest distance, and the like. Be done. The feature amount to be analyzed may be, for example, one or two or more. Further, the network feature amount analysis unit 13 may further determine the network type of the member network from the feature amount, for example. Examples of the network type include a distributed type, a silo type, a bridge type, and a bonding type. The decentralized member network indicates, for example, an organizational state in which the connections between nodes (members) are weak or not connected at all. The silo-type member network indicates, for example, an organizational state in which there are a plurality of smaller tissues and there is no connection between the smaller tissues. The bridge-type member network, for example, similarly to the silo-type, includes a small-scale organization within the organization, but indicates an organizational state in which the small-scale organizations are connected to each other. The bonding type member network shows, for example, an organizational state in which a small organization is not formed in the organization and the number of connections between nodes (members) is large (that is, many nodes have many orders). More specifically, it will be described later. Thereby, the tissue state described later can be quantitatively expressed.

Then, the organizational state identification unit 14 identifies the organizational state based on the feature amount of the analyzed member network (S14), and ends (END). Further, the tissue state identification unit 14 may identify the tissue state based on the network type. The organizational state is not particularly limited, and examples thereof include a formation period, a confusion period, a unified period, a functional period, and a breakup period in the Tuckman model. The formation period is, for example, a stage in which members belonging to an organization are determined and the members are watching each other. The period of turmoil is, for example, a stage in which opinions, principles, and assertions collide and members are wary of each other. The unification period is, for example, a stage in which goals are shared with members and rules to be followed as an organization are established. The functional period is, for example, a stage in which each member moves autonomously and further results are produced. During the breakout period, for example, the organization is disbanded due to the achievement of a goal or time constraints, and each member starts to move toward another goal. Hereinafter, the tissue state will be described using each period of the Tuckman model, but the present invention is not limited to this, and other models may be used. Specifically, the tissue state identification unit 14 may identify the tissue state in at least four stages (for example, a formation period, a confusion period, a unified period, a functional period, etc.), as will be described later.

In this embodiment, for example, the skill data acquisition unit 15 may acquire skill data for each instructor (S15). The skill data is data showing the skill of the instructor. Specifically, the skill data includes, for example, the ability to listen to a member's story and draw out his / her true intention (listening skill), the ability to ask a member a question as if he / she thinks for himself (question skill), and the behavior and result of the member. It includes data showing skills such as approval, that is, the ability to encourage the actions of members by approving the existence of members (cognitive skills), the experience of instructors, and the specialized fields of instructors. Further, the skill data may include, for example, data indicating the organizational state in which the instructor is good at instructing. Further, the skill data may be associated with, for example, the date and time information at which the skill data was acquired. The skill data acquisition unit 15 may be acquired from the instructor's terminal (also referred to as an instructor terminal) via the communication network, or from a database or server storing the skill data. You may get it. Further, the skill data acquisition unit 15 may acquire the skill data by, for example, taking a questionnaire regarding the skill data to the instructor and inputting the answer. The format of the questionnaire and its response is not particularly limited, and for example, paper, a website, or the like can be used. The skill data acquired by the present device 10 may be output to an external database or server via the communication network, or may be stored in a storage unit such as a memory 102 and a storage device 104. The skill data acquisition unit 15 may acquire the identification information of the instructor in association with the skill data, for example. The identification information is not particularly limited, and includes, for example, the name of the instructor, the ID (identification) of the instructor, the ID of the instructor terminal, and the like. The step (S15) may be processed in parallel with the steps (S11) to (S14), or may be processed in order. The order is not particularly limited.

When acquiring the skill data, in the present embodiment, the matching unit 16 further guides the organization from among the organization and the plurality of instructors based on the skill data and the organizational state. Matching with a person (S16) and ending (END). Specifically, it will be described later.

According to this embodiment, since the member network is generated from the thank-you data transmission history information, the state of the organization can be grasped. In the transmission history of tools such as email and chat, it is unclear whether or not the human relationships between each member are good. However, according to the present embodiment, since it is based on the transmission history information of the appreciation data, it can be considered that the human relations between the members are good. That is, by using the thank-you data transmission history information, it is possible to grasp the intimacy among each member in the organization.

The instructor has different skill data (instruction method that is good or bad) for each instructor. In addition, the appropriate teaching method of the tissue differs depending on the state of the tissue. Therefore, when the organization to be instructed is in an organizational state that requires skill data that the instructor is not good at, there is a problem that it takes time and effort for the instructor to grasp the current state of the organization. There is a problem that the effective guidance cannot be received for the organization and the members. However, according to the present embodiment, for example, since the skill data and the organizational state are used, appropriate matching between the instructor and the organization is possible.

[Embodiment 2]
Specifically, an example of grasping and matching the tissue state using the present device 10 will be described. Hereinafter, a player as a member, a team as the organization, and a coach as the instructor will be described as examples, but the present invention is not limited to this, as described above.

First, an example of grasping the organizational state will be described. Each player in the team uses, for example, the appreciation transmission device described later to transmit appreciation data to other players in the team. Then, the appreciation data acquisition unit 11 of the present device 10 acquires the appreciation data transmission history information from the appreciation transmission device. FIG. 4A shows an example of the thank-you data transmission history information. In FIG. 4A, “From” indicates a player who has transmitted the appreciation data, and “Target” indicates a player who has transmitted the appreciation data.

Next, as shown in FIG. 5, the network generation unit 12 reads the thank-you data transmission history information to generate a member network (also referred to as networking). In the member network, the distance and the directionality between each node (each player) are not particularly limited, and may or may not be calculated according to the feature amount described later. For the distance between the nodes (each player), for example, the degree of appreciation in the appreciation data can be processed as the distance between the nodes. The degree of gratitude will be described later. Hereinafter, in the member network, the player is also referred to as a node.

Next, as shown in FIG. 6, the network feature amount analysis unit 13 analyzes the feature amount of the member network, and determines the network type of the member network from the feature amount. In FIG. 6, as the feature amount, the mediation centrality, the number of complete graphs, and the average shortest distance are obtained, but as described above, the present invention is not limited to this. Specifically, the network feature amount analysis unit 13 determines, for example, a member network in which all mediation centralities are 0 and the number of complete graphs is 0 as "distributed". Further, the network feature amount analysis unit 13 determines, for example, a member network having 0.2 or less of the mediation centrality of the top two and having 2 or more complete graphs as a “silo type”. Further, the network feature amount analysis unit 13 determines, for example, a member network having an intermediary centrality of 0.9 or more of the top two and a complete graph number of 0 as a “bridge type”. Further, the network feature amount analysis unit 13 determines, for example, a member network having a complete graph number of 0 and an average shortest distance of 5 to 6 as a “bonding type”. It should be noted that these numerical values are examples and can be set arbitrarily. The apparatus 10 may store, for example, table data showing the relationship between the feature amount and each network type as shown in FIG. 6 in advance, or acquire the table data from the outside via the communication network. You may.

Then, the state of the organization having the distributed member network is set as the "formation period", and the state of the organization having the silo type member network is set as the "confused period" by the tissue state identification unit 14 of the present apparatus 10. The state of the organization having the bridge-type member network is defined as the "unified period", and the state of the organization having the bonding-type member network is identified as the "functional period".

An example of the calculation of mediation centrality will be described with reference to FIG. 7. The mediation centrality can be calculated using, for example, the equation (1) shown in FIG. 7. Specifically, the node 1 shown in the lower part of FIG. 7 will be described as an example. The mediation centrality can be calculated by dividing the number of routes (B) passing through node 1 among the shortest paths by the number of shortest paths (A) in the routes between each node and obtaining the total. That is, the mediation centrality of node 1 shown in the lower part of FIG. 7 is 3.5.

An example of calculation of the number of complete graphs will be described with reference to FIG. First, n arbitrary nodes (n is an integer of 1 or more) are extracted from the member network. When the number of sides m (m is an integer of 1 or more) composed of the extracted n nodes is the same as the number of the extracted nodes, the part of the member network is taken as a complete graph. Then, the total sum of the complete graphs is taken as the number of complete graphs. Specifically, in the member network (1) shown in the lower part of FIG. 8, each node surrounded by each frame was extracted. In this case, as shown in the figure, the parts of the member network in each frame are both complete graphs (n = 3, m = 3). On the other hand, the member network (2) extracted each node surrounded by a frame. In this case, as shown, the part of the member network in each frame is not a complete graph (n = 2, m = 1).

An example of calculation of the average shortest distance will be described with reference to FIG. First, select an arbitrary node from the member network. Hereinafter, the selected node is also referred to as an origin. Next, as shown in the figure, the node adjacent to the origin is defined as the Erdős number n. Further, a node having an Erdős number n (n is an integer of 1 or more) that is not adjacent to the origin is defined as an Erdős number n + 1. On the other hand, the node that does not meet the above rules is the Erdős number ∞. Then, the average shortest distance can be calculated using, for example, the equation (2) shown in FIG.

Next, an example of matching a coach and a team will be described. The coach uses, for example, a website (questionnaire) and inputs skill data. Then, the device 10 acquires the skill data by, for example, the skill data acquisition unit 15. FIG. 4B shows an example of the skill data. In FIG. 4 (B), "Coach" indicates the identification information (name) of the coach, and "Skill" indicates the skill data (state of the organization specializing in coaching) of the coach.

Then, as shown in FIG. 10, the matching unit 16 matches the coach and the team. Specifically, as shown in FIG. 10A, when the organizational state of the team is the "unification period", the matching unit 16 has the skill data, that is, the state of the organization that is good at coaching is "unified". Match the coach CC, which is the "period", to the team. As described above, according to the present device 10, a suitable coach can be matched to the team. The apparatus 10 may determine, for example, whether or not the current combination of the coach and the team is an appropriate combination. Specifically, as shown in FIG. 10B, the organizational state of the team is the "formation period", and the skill data of the coach who is instructing the team, that is, the organization that is good at instructing. When the state is the "unification period", the matching unit 16 may determine that the combination of the coach and the team is unsuitable (mismatch). Further, for example, when the matching unit 16 determines that the coach is unsuitable, the matching unit 16 may select and output a recommended coach, that is, a coach having appropriate skill data. In the example shown in FIG. 10B, instead of the coach CC, the coach AA whose state of the organization specializing in coaching is in the “formation period” is selected as the recommended coach. The format of the output is not particularly limited, and may be output to an external device or may be output to be displayed on the display device 106 via the communication network, for example.

[Embodiment 3]
The transmission of the appreciation data from one member to the other member will be specifically described. It should be noted that this is an example and is not limited in any way. It is possible to transmit the thank-you data from one member to the other member by using, for example, the technique described in JP-A-2018-147494 (hereinafter, also referred to as a thank-you transmission device).

The transmission of the appreciation data is executed by, for example, the appreciation transmission device 20. FIG. 11 shows the configuration of an example of the appreciation transmission device 20 of the embodiment. The appreciation transmission device 20 includes a storage unit 21, a display unit 22, a selection unit 23, and a transmission / reception unit 24. Further, the appreciation transmission device 20 may further include a statistics unit 25 and the like as an arbitrary configuration. The hardware configuration of the appreciation transmission device 20 is not particularly limited, but is the same as, for example, the tissue state identification device 10. Specifically, the central processing unit 101 functions as, for example, a selection unit 23, a transmission / reception unit 24, and a statistics unit 25, the display unit 22 can use, for example, the display device 106, and the storage unit 21 can use the memory 102 or the like. A storage device 104 can be used.

The appreciation transmission device 20 is a device owned by each user (that is, a member), and each appreciation transmission device 20 possessed by each user is connected to each other via, for example, the communication network. It may be possible.

Next, the thank-you communication method of the present embodiment will be described with reference to FIGS. 12 to 18. 12 is a flowchart of the appreciation transmission method, and FIGS. 13 to 18 are schematic views of a display unit 22 of the appreciation transmission device 20. The method of transmitting appreciation of the present embodiment is not limited to the use of the appreciation transmitting device 20.

(A1) Storage process First, the storage unit 21 stores appreciation data and user data of a plurality of users. The appreciation data is as described above. The user data includes, for example, terminal data of the user, and further includes, for example, identification data for identifying the user (also referred to as specific data for identifying the user). The storage unit 21 stores (associates), for example, the identification data of the user and the terminal data as the user data. The user identification data may be, for example, information that can identify a specific user from a plurality of users, and specific examples thereof include a name, a nickname, a photographic image, an illustration image, and the like, and may include affiliation and the like. good. The terminal data is, for example, data for transmitting and receiving data via the communication network, and specific examples thereof include an IP address and the like. The number of user data stored in the storage unit 21 is not particularly limited, and for example, a member belonging to an arbitrary organization for transmitting gratitude can be stored. The plurality of users can be further stored, for example, as a group for inviting and sharing members. Further, the user data of the plurality of users may be stored as, for example, an address book.

(A2) User Data Display Step Next, the display unit 22 displays the user identification information of the plurality of users. Specifically, the display unit 22 displays, for example, a name, a photographic image, an illustration image, or the like as the user identification data for a plurality of users. Specifically, as shown in FIG. 13, a user name (for example, Mr. A, Mr. B, etc.) and a photographic image (for example, a face photograph) or an illustration image (for example, for example) are displayed on the display unit 22 of the appreciation transmission device 20. (Illustration of a turtle) etc. is displayed.

(A3) Selection Step of Specific User Next, the selection unit 23 selects a specific user from the plurality of user identification information displayed. When a specific user is selected, as shown in the left figure of FIG. 14, the display unit 22 displays, for example, the specific user (Mr. B) selected as the destination to send the gratitude.

(A4) Display process of a plurality of types of gratitude When a specific user is selected by the selection unit 23, for example, in addition to the selected specific user, a plurality of gratitude data are displayed on the display unit 22. The type of is displayed. The type of gratitude is not particularly limited, and examples thereof include "thank you", "sorry", "praise", "respect", and "happy". The type of gratitude is displayed as, for example, an image expressing the type of gratitude, and the image may be, for example, only words, only an illustration expressing gratitude, or a combination of words and illustrations.

A plurality of types of gratitude can be displayed simultaneously or sequentially on the display unit 22. In the latter case, for example, the display unit 22 causes the display unit 22 to move an arbitrary image indicating the type of appreciation displayed on the display unit 22 on the display unit 22 by sliding, swiping, or the like. Images showing the plurality of types of gratitude can be sequentially displayed. At this time, for example, in order to show that an image indicating the type of gratitude exists in addition to the arbitrary image displayed on the display unit 22, the display unit 22 arbitrarily indicates the type of gratitude. In addition to displaying the image of the above, a part of other adjacent images indicating the type of appreciation may be displayed on the left, right, top, bottom, etc. of the arbitrary image. Specifically, as shown in the left figure of FIG. 14, the display unit 22 displays the selected specific user (Mr. B), and further, as a kind of gratitude, is a word for evaluating the behavior of the other party. The characters "Good!" And the image of the illustration representing it are displayed in the lower center. At this time, as shown in the left figure of FIG. 14, a part of other adjacent images is displayed on the left and right of the image of "Good!". This makes it possible for the user to recognize that other images exist on the left and right of the image of "Good!". Then, by sliding the image of "Good!", For example, as shown in the right figure of FIG. 14, the image of "Thank you" to the right of the image of "Good!" Is displayed in the downward direction of the display unit 22. It can be displayed in the center.

(A5) Selection process of a specific type of gratitude Next, the selection unit 23 selects a specific type of gratitude from the displayed types of gratitude. When a specific type of gratitude is selected, as shown in FIG. 15, for example, a selected specific user (Mr. B) and an image showing the selected type of gratitude (thank you) are displayed on the display unit 22. ..

(A6) Display step of displaying the degree of gratitude Next, when a specific type of gratitude is selected by the selection unit 23, the display unit 22 displays, for example, the degree of gratitude in addition to the selected type of gratitude. Will be done. The degree of gratitude can be displayed, for example, by a bar image showing the degree of gratitude. Specifically, as shown in FIG. 15, a five-level bar indicating the degree of gratitude is displayed next to the image showing the type of gratitude (thank you). The bar represents, for example, the degree of gratitude by height, and means that the degree of gratitude increases from the bottom to the top.

(A7) Step of selecting a specific degree of gratitude Next, the selection unit 23 selects a specific degree of gratitude from the degree of gratitude displayed on the display unit 22. When a specific degree of appreciation is selected, as shown in FIG. 15, the display unit 22 is shown, for example, a bar indicating the degree of appreciation in five stages. Then, for example, as shown in the left figure of FIG. 15, when the degree of gratitude is shown as three stages as a tentative standard (the bars from the bottom to the three stages are displayed in black), as shown in the right figure of FIG. In addition, by changing the color of the bar to black up to the 5th grade, it can be shown that the degree of gratitude to Mr. B is 5th grade in the 5th grade evaluation. The color of the bar is not particularly limited, and for example, the evaluation stage can be selected by swiping from the one-stage bar to the desired stage bar among the five-stage bars displayed on the display unit 22.

(A8) Transmission step Then, the transmission / reception unit 24 transmits the selected specific gratitude data (for example, the specified gratitude type and the degree of gratitude) to the terminal of the selected specific user. Specifically, as shown in the order of FIGS. 16A to 16C, an image of "Thank you" toward the image showing the selected specific user (Mr. B) shown on the display unit 22. Is moved by flicking or dragging. As a result, it is possible to send gratitude data to Mr. B, who is a specific user, with the type of gratitude being "thank you" and the degree of gratitude being "five levels" to the terminal of the specific user via the network.

(A9) Reception process (not shown)
The method of the present embodiment comprises, for example, receiving appreciation data transmitted from another user (eg, a selected specific appreciation type and a selected specific appreciation degree). The step can be executed, for example, by the transmission / reception unit 24 and the display unit 22 of the appreciation transmission device 20. The timing of receiving the thank-you data is not particularly limited.

In the present embodiment, the display order of the appreciation data and the user identification information of the plurality of users on the display unit 22 is not particularly limited. For example, as described above, after displaying the user identification information, the appreciation is given. The data may be displayed or both may be displayed at the same time.

The appreciation transmission method of the present embodiment may further include, for example, a storage step of storing the transmitted appreciation data and the received appreciation data as transmission / reception history data, and can be executed by, for example, the storage unit 21 of the appreciation transmission device 20. ..

In the present embodiment, the display unit 22 may further display, for example, a list of a part or all of the appreciation data transmitted from the terminal and a list of a part or all of the appreciation data received by the terminal. good. As shown in FIG. 17, for example, when the transmission list is selected on the display unit 22 of the terminal 20 which is the appreciation transmission device, the list of appreciation data transmitted from the terminal 20 can be displayed. In the above list, the content of the gratitude data to be displayed is, for example, the user of the destination, the type of gratitude, the degree of gratitude, the transmission time, and the like. Further, although not shown, for example, when the reception list is selected in the display unit 22 of the terminal 20 which is the appreciation transmission device, the list of appreciation data received by the terminal 20 can be displayed. In the above list, the content of the gratitude data to be displayed is, for example, the type of gratitude, the degree of gratitude, the transmission time, etc., and the sender user may or may not display it, and it is easy to present gratitude. Therefore, it does not have to be displayed as anonymity.

(A10) Statistical process (not shown)
In the present embodiment, the appreciation transmission device 20 may further have, for example, a statistical unit 25, and the statistical unit 25 calculates statistical data based on the transmitted appreciation data and the received appreciation data. .. In this case, the display unit 22 may further display the statistical data, for example.

The type of statistical data based on the transmitted thank-you data and the received thank-you data by the statistics unit 25 is not particularly limited, and specific examples include the total amount of thank-you data sent from the terminal and the thank-you data received by the terminal. The total amount of gratitude data, the ratio (ratio) between the amount of gratitude data sent by the terminal and the amount of gratitude data received, the transition of the amount of gratitude data over time, the ratio of the type of gratitude and the ratio of the degree of gratitude in the sent and received gratitude data, etc. can give. Further, when each terminal (thank you transmission device 20) can be connected to the server as described above, for example, the total amount of thanks data of each terminal (thank you transmission device 20) stored in the server is also displayed as statistical data. can do. Here, the amount of gratitude data is not particularly limited, and can be expressed as, for example, the product of the number (number of times) of gratitude data sent and received and the degree of gratitude.

For example, as shown in FIG. 18, the statistical data is based on the total appreciation amount of a plurality of terminals connected via the communication network on the display unit 22 of the terminal 20 which is a thank-you transmission device. Numerical values, pie charts, bar graphs, line graphs, etc. show the amount of gratitude sent and received, the ratio of the amount of gratitude sent and the amount of gratitude received (for example, for the past 6 months), the ratio for each degree of gratitude, and the transition of the amount of gratitude. Can be shown.

According to this embodiment, it is possible to easily convey, for example, the type of gratitude and the degree of gratitude to the other party. Specifically, for example, even if it is embarrassing to convey directly, it is difficult to convey in front of a large number of people, the other party is far away, or the timing to convey is missed, the apparatus and method of the present embodiment. You can easily convey your gratitude by using. Therefore, the devices and methods of the present embodiment can be used, for example, in an organization in a company to increase mutual credibility, and as a result, can be useful for improving the performance of individuals and organizations. Therefore, the appreciation data, statistical information, and the like in the present embodiment are useful as appreciation data transmission history information in the devices and methods according to the first and second embodiments.

[Embodiment 4]
The program of this embodiment is a program for causing a computer to execute each step of the method of each of the above-described embodiments as a procedure. In the present invention, "procedure" may be read as "processing". Further, the program of the present embodiment may be recorded on a computer-readable recording medium, for example. The recording medium is not particularly limited, and examples thereof include a read-only memory (ROM), a hard disk (HD), and an optical disk.

Although the present invention has been described above with reference to the embodiments, the present invention is not limited to the above embodiments. Various changes that can be understood by those skilled in the art can be made to the structure and details of the present invention within the scope of the present invention.

According to the present invention, the state of the tissue can be grasped. Therefore, the present invention is useful, for example, in various fields having a structure formed by a plurality of members.

10 Organizational state identification device 11 Thank-you data acquisition unit 12 Network generation unit 13 Network feature quantity analysis unit 14 Organizational state identification unit 15 Skill data acquisition unit 16 Matching unit 20 Appreciation transmission device 21 Storage unit 22 Display unit 23 Selection unit 24 Transmission / reception unit 25 Statistics unit 101 Central processing unit 102 Memory 103 Bus 104 Storage device 105 Input device 106 Display device 107 Communication device

Claims (10)

Includes appreciation data acquisition department, network generation department, network feature analysis department, and organizational state identification department.
The appreciation data acquisition unit acquires appreciation data transmission history information indicating that appreciation data has been transmitted from one member to the other member.
The network generation unit generates a member network in the organization to which the member belongs based on the thank-you data transmission history information.
The network feature amount analysis unit analyzes the feature amount of the member network and analyzes the feature amount.
The tissue state identification unit is an organization state identification device that identifies the tissue state based on the feature amount of the analyzed member network. The network feature amount analysis unit further determines the network type of the member network from the feature amount.
The tissue state identification device according to claim 1, wherein the tissue state identification unit identifies the tissue state based on the network type. In addition, it includes a skill data acquisition section and a matching section.
The skill data acquisition department acquires skill data for each instructor and obtains skill data.
The organization according to claim 1 or 2, wherein the matching unit matches the organization with the instructor who gives guidance to the organization from among a plurality of the instructors, based on the skill data and the organizational state. State identification device. Includes appreciation data acquisition process, network generation process, network feature analysis process, and organizational state identification process.
In the appreciation data acquisition step, the appreciation data transmission history information indicating that the appreciation data has been transmitted from one member to the other member is acquired.
The network generation step generates a member network in the organization to which the member belongs based on the thank-you data transmission history information.
In the network feature amount analysis step, the feature amount of the member network is analyzed, and the feature amount is analyzed.
The tissue state identification step is a method for identifying an organization state, which identifies an organization state based on the feature amount of the analyzed member network. The network feature amount analysis step further determines the network type of the member network from the feature amount.
The tissue state identification method according to claim 4, wherein the tissue state identification step identifies the tissue state based on the network type. Furthermore, it includes a skill data acquisition process and a matching process.
In the skill data acquisition process, skill data is acquired for each instructor, and the skill data is acquired.
The organization according to claim 4 or 5, wherein the matching step matches the organization with the instructor who gives guidance to the organization from among a plurality of the instructors, based on the skill data and the organizational state. State identification method. A program for causing a computer to perform a procedure including a thank-you data acquisition procedure, a network generation procedure, a network feature analysis procedure, and an organizational state identification procedure.
The appreciation data acquisition procedure acquires appreciation data transmission history information indicating that appreciation data has been transmitted from one member to the other member.
The network generation procedure generates a member network in the organization to which the member belongs based on the thank-you data transmission history information.
In the network feature analysis procedure, the feature of the member network is analyzed.
The organizational state identification procedure is a program for identifying an organizational state based on the feature amount of the analyzed member network. The network feature analysis procedure further determines the network type of the member network from the feature.
The program according to claim 7, wherein the tissue state identification procedure identifies the tissue state based on the network type. In addition, it includes skill data acquisition procedures and matching procedures.
In the skill data acquisition procedure, skill data is acquired for each instructor, and the skill data is acquired.
The program according to claim 7 or 8, wherein the matching procedure is based on the skill data and the organizational state, and matches the organization with the instructor who gives guidance to the organization from among a plurality of the instructors. .. A computer-readable recording medium recording the program according to any one of claims 7 to 9.

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