WO2025041276A1 - Information processing device and method - Google Patents

Abstract

An information processing device according to one embodiment comprises a calculation unit that calculates a value indicating the strength of the inter-working relationship between persons to whom the same role is assigned and/or the strength of the inter-working relationship between persons to whom different roles are assigned, said calculation being performed on the basis of information pertaining to the degree of contribution by a first person who is assigned any among a plurality of types of roles and to the degree of contribution by a second person who is assigned any among a plurality of types of roles, each person belonging to a group that includes a plurality of persons who have been assigned the same role, and said contributions each being a contribution to the group to which each person belongs and resulting from an action by the first person of exerting influence on the second person.

Description

Information processing device and method

An embodiment of the present invention relates to an information processing device and method.

　A company's operations are made up of elements such as employees, facilities, and business processes. Operations are designed to suit the industry, business sector, and business model, and are improved daily. In particular, employees are an organic function that is important in operations, and they flexibly support uncertain and complex operations through an organizational structure.

　The performance of an organization has a significant impact on the stability of operations. The form that an organization can take will vary depending on the robustness, creativity, or urgency required for the work, but in any case, the key is that employees have roles and work together.

Hereafter, a "team" refers to a group of two or more people who work together or cooperate to achieve a shared goal or obtain value while dividing up roles, and the people (personnel) who belong to the team are called "members." An organization functions as a collection of multiple teams, and it is important to properly understand the state of the formation of these teams in accordance with the business situation, and to design and improve their operation.

Due to the decline in the working population, it is becoming increasingly common for one member to belong to multiple teams and be involved in the work of each team. Since it is believed that members' attitudes and behaviors change depending on the situation of the target work or the role they are assigned, there is a need for technology that uses information based on the work situation to more objectively analyze the state of team formation.

As a conventional method, Non-Patent Document 1 discloses a method for diagnosing a team based on the members' subjective evaluation of team formation.

Non-Patent Document 2 also discloses a method for analyzing the tendencies of the characteristics of an entire team based on the thoughts, behaviors, and other characteristics of team members.

Organization (Team) Assessment | Japan Team Building Association -JTBA- <https://jtba.jp/checktool/> Schola Consult releases free diagnostic tool to help improve teamwork in organizations, classifying members' "traits" into four types | Hrzine <https://hrzine.jp/article/detail/3923>

When analyzing the state of team formation, it is important to analyze not only the characteristics of each member, but also the state of interaction between members according to the roles that the members have been assigned. However, the conventional methods described above deal with the characteristics of each member, but are unable to properly analyze the state of interaction between members with the same role, or between members with different roles.

This invention was made in light of the above-mentioned circumstances, and its purpose is to provide an information processing device and method that can appropriately determine the interaction relationships between personnel who have been assigned roles.

An information processing device according to one embodiment of the present invention includes a calculation unit that calculates a value indicating at least one of the strength of the interaction relationship between members assigned the same role and the strength of the interaction relationship between members assigned different roles, based on information regarding the degree of contribution between a first member, who is assigned any of multiple roles, and a second member, who is assigned any of multiple roles, to a group to which the first member belongs, through an action of the first member, who is assigned any of multiple roles, influencing the second member, who is assigned any of multiple roles, and who belongs to a group including multiple members assigned the same role.

An information processing method according to one aspect of the present invention is a method performed by an information processing device, and includes a calculation unit of the information processing device calculating a value indicating at least one of the strength of the interaction relationship between members assigned the same role and the strength of the interaction relationship between members assigned different roles, based on information regarding the degree of contribution between a first member, who is assigned any of multiple roles, and a second member, who belongs to a group including multiple members assigned the same role, through an action of the first member, who is assigned any of multiple roles, to the second member, who is assigned any of multiple roles.

According to the present invention, it is possible to appropriately determine the interaction relationships between personnel who have been assigned roles.

FIG. 1 is a diagram showing an application example of an evaluation model generation system according to an embodiment of the present invention. FIG. 2 is a diagram showing an example of a result of conversion into an evaluation model capable of analyzing the mutual relationship between roles from contribution value information regarding the degree of contribution between members to the team. FIG. 3 is a flowchart showing an example of a processing procedure for converting contribution value information regarding the degree of contribution between members to a team into an evaluation model capable of analyzing the interaction relationship between roles. FIG. 4 is a diagram showing an example of a classification result of each member according to the type of role assigned to each member. FIG. 5 is a diagram showing an example of allocation of members to elements of the initial values of the matrix representation of the contribution values between members. FIG. 6 is a diagram showing an example of a matrix representation of contribution values between members. FIG. 7 is a diagram showing an example of a result of decomposing the matrix representation of the contribution values between members into sub-matrices for each type of role assigned to the members. FIG. 8 is a diagram showing an example of the calculation result of the Frobenius norm for the submatrix for each type of role assigned to the member. FIG. 9 is a diagram showing an example of the analysis result of the evaluation model between roles. FIG. 10 is a diagram showing an example of a time-series analysis result of the evaluation model between roles. Figure 11 is a block diagram showing an example of the hardware configuration of an evaluation model generation system for one embodiment of the present invention.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
The evaluation model generation system according to an embodiment of the present invention converts contribution value information regarding the contribution of each member of a team to the team into an evaluation model capable of analyzing the interaction relationship between two or more roles in the team, i.e., which role member is influencing which other role member. The interaction relationship between the two or more roles means the interaction relationship between members having the same role or between members having different roles.

FIG. 1 is a diagram showing an application example of an evaluation model generation system according to an embodiment of the present invention.
As shown in FIG. 1, an evaluation model generating system 100 according to an embodiment of the present invention includes an input unit 10 and an inter-role action relationship evaluation model generating unit (calculation unit) 20 .

<Input>
The input unit 10 of the evaluation model generation system 100 accepts input of (1) contribution value information regarding the degree of contribution between members to a team or organization, such as log data or questionnaire data, and (2) association information of the role of each member (sometimes referred to as role information of each member).

The above-mentioned contribution value information regarding the degree of contribution between members to a team or organization refers to information regarding the degree of contribution between members to the team to which they belong, through actions taken by a first member assigned any of multiple types of roles who belongs to a team group including multiple members assigned the same role, to a second member assigned any of multiple types of roles. The role association information for each member refers to information indicating the role assigned to each member.

<Output>
FIG. 2 is a diagram showing an example of a result of conversion into an evaluation model capable of analyzing the mutual relationship between roles from contribution value information regarding the degree of contribution between members to the team.
The inter-role action relationship evaluation model generation unit 20 of the evaluation model generation system 100 has a function of converting contribution value information regarding the degree of contribution between members to the team into an evaluation model capable of analyzing the interaction relationship between roles.

In the example shown in Figure 2, the contribution values of six members belonging to a team, relating to their degree of contribution to the team, are expressed in a matrix. Here, the members in the row direction are the members who influence the team, and the members in the column direction are the members who influence the team. The members in the row direction above are members associated with row components (elements) in the matrix in which the contribution values are expressed, and are members to which roles have been assigned. The members in the column direction above are members associated with column components in the matrix in which the contribution values are expressed, and are members to which roles have been assigned.

In the example shown in Figure 2, when the assignment of one of two types of roles, "keyman" and "follower," is defined for each member, the result of generating an evaluation model that is converted so that the interaction relationship between the roles of "keyman" and "follower" can be analyzed is shown.

Specifically, the inter-role action relationship evaluation model generation unit 20 decomposes the matrix expressing the above-mentioned contribution value information for each member into sub-matrices for each role assigned to the member (symbols a to d in FIG. 2), calculates the size of each sub-matrix, and applies the calculated size to the evaluation model for each role to obtain the above-mentioned evaluation model. The sub-matrix for each role is a plurality of sub-matrices consisting of rows associated with members assigned the same role and columns associated with members assigned the same role.

In this evaluation model, the number of roles that can be set is two or more and is equal to or less than the number of members in the team. Also, the number of roles that can be assigned to each member is one at most.
Furthermore, the role assigned to the member making the approach and the role assigned to the member being approached do not have to be the same.

FIG. 3 is a flowchart showing an example of a processing procedure for converting contribution value information regarding the degree of contribution between members to a team into an evaluation model capable of analyzing the interaction relationship between roles.
Here, the number of members belonging to a team is n, and the total number of role types assigned to each member in the team is m, where 1<m<n. Each member belonging to a team is assigned one role. Note that a member who has not been assigned a role is assigned the role of "none."

The role-to-role interaction relationship evaluation model generation unit 20 acquires the input results from the input unit 10, including (1) contribution value information regarding the degree of contribution between members to the team or organization, and (2) role association information for each member, and generates an n x n matrix with each element (component) set to the initial value "0" (S11).

Here, it is assumed that the acquired information relating to the roles of each member is composed of the following information (1) to (6).
(1) Information that a "role X" is assigned to a "member A" who belongs to a team. (2) Information that a "role Z" is assigned to a "member B" who belongs to a team. (3) Information that a "role Y" is assigned to a "member C" who belongs to a team. (4) Information that a "role Z" is assigned to a "member D" who belongs to a team. (5) Information that a "role Y" is assigned to a "member E" who belongs to a team. (6) Information that a "role X" is assigned to a "member F" who belongs to a team.

The role-to-role interaction relationship evaluation model generation unit 20 classifies each member into groups to which the same type of role is assigned, based on the role association information of each member acquired above (S12).

FIG. 4 is a diagram showing an example of a classification result of each member according to the type of role assigned to each member.
In the example shown in FIG. 4, the members are classified into (1) a first group consisting of "Member A" and "Member F" who are assigned the same "Role X," (2) a second group consisting of "Member C" and "Member E" who are assigned the same "Role Y," and (3) a third group consisting of "Member B" and "Member D" who are assigned the same "Role Z."

The role-action relationship evaluation model generation unit 20 assigns each member to the order of the row and column vectors in the matrix generated in S11 so that different roles are assigned adjacent to each other, i.e., so that elements in the matrix corresponding to members assigned the same role are adjacent to each other (S13).

FIG. 5 is a diagram showing an example of allocation of members to elements of the initial values of the matrix representation of the contribution values between members.
In the example shown in FIG. 5, the elements in the first and second rows of the matrix generated in S11 are assigned one-to-one to "Member A" and "Member F," who are assigned the same "Role X," the elements in the third and fourth rows of the matrix generated in S11 are assigned one-to-one to "Member C" and "Member E," who are assigned the same "Role Y," and the elements in the fifth and sixth rows of the matrix generated in S11 are assigned one-to-one to "Member B" and "Member D," who are assigned the same "Role Z."

Also, in the example shown in FIG. 5, the elements in the first and second columns of the matrix generated in S11 are assigned one-to-one to "member A" and "member F," who are assigned the same "role X," the elements in the third and fourth columns of the matrix generated in S11 are assigned one-to-one to "member C" and "member E," who are assigned the same "role Y," and the elements in the fifth and sixth columns of the matrix generated in S11 are assigned one-to-one to "member B" and "member D," who are assigned the same "role Z."
The above assignment destination elements may be interchangeable between members to which the same role is assigned, for example, "member A" and "member F" to which the same "role X" is assigned.

Members assigned to row elements in S13 are treated as source members, and members assigned to column elements are treated as destination members. Contribution value information relating to the degree of contribution between members to the team or organization, i.e., numerical information relating to the actions between members, is substituted into the matrix after each member is assigned in S13 (S14).

FIG. 6 is a diagram showing an example of a matrix representation of contribution values between members.
6, for example, in the matrix after the allocation of each member in S13, the contribution value obtained by quantifying the degree of contribution to the team by the action of "member A" on the approaching side toward each of the other approaching members is assigned to each element in the first column of the matrix. The same applies to the other members.

The inter-role action relationship evaluation model generation unit 20 decomposes the matrix after substitution in S14 into m×m sub-matrices based on the total number m of the types of roles (S15).
FIG. 7 is a diagram showing an example of a result of decomposing the matrix representation of the contribution values between members into sub-matrices for each type of role assigned to the members.
In the example shown in FIG. 7, the matrix after substitution of the contribution values shown in FIG. 6 is decomposed into the following sub-matrices (1) to (9), that is, 3×3 sub-matrices.
(1) A small matrix consisting of elements of each row to which a member assigned "role X" is assigned and elements of each column to which a member assigned "role X" is assigned (symbol a in FIG. 7 ).
(2) A small matrix consisting of elements of each row assigned to members assigned with “role X” and elements of each column assigned to members assigned with “role Y” (symbol b in FIG. 7 ).
(3) A small matrix consisting of elements of each row assigned to members assigned with “role X” and elements of each column assigned to members assigned with “role Z” (symbol c in FIG. 7 ).
(4) A small matrix consisting of elements of each row assigned to members assigned with “role Y” and elements of each column assigned to members assigned with “role X” (symbol d in FIG. 7 ).
(5) A small matrix consisting of elements of each row to which a member assigned “role Y” is assigned and elements of each column to which a member assigned “role Y” is assigned (symbol e in FIG. 7 ).
(6) A small matrix consisting of elements of each row assigned to members assigned with “role Y” and elements of each column assigned to members assigned with “role Z” (symbol f in FIG. 7 ).
(7) A small matrix consisting of elements of each row assigned to members assigned with "role Z" and elements of each column assigned to members assigned with "role X" (symbol g in FIG. 7)
(8) A small matrix consisting of elements of each row assigned to members assigned with “role Z” and elements of each column assigned to members assigned with “role Y” (symbol h in FIG. 7 ).
(9) A small matrix consisting of elements of each row assigned to a member assigned with “role Z” and elements of each column assigned to a member assigned with “role Z” (symbol i in FIG. 7 ).

The role-action relationship evaluation model generation unit 20 calculates the size of the matrix, which is the matrix norm, for each m x m submatrix obtained by the decomposition in S15 using the Frobenius norm calculation formula (S16). This Frobenius norm is calculated by taking the square root of the sum of the squares of the values of each element of the submatrix.

The inter-role action relationship evaluation model generation unit 20 substitutes the size of the matrix between each role calculated in S16 into each m×m matrix formed by the decomposition in S15 (S17).
FIG. 8 is a diagram showing an example of the calculation result of the Frobenius norm for the submatrix for each type of role assigned to the member.
The example shown in Figure 8 shows the results of substituting (1) the value of the Frobenius norm of the submatrix indicated by symbol a in Figure 7, which is "6.32455," (2) the value of the Frobenius norm of the submatrix indicated by symbol b in Figure 7, which is "5.19615," (3) the value of the Frobenius norm of the submatrix indicated by symbol c in Figure 7, which is "2," (4) the value of the Frobenius norm of the submatrix indicated by symbol d in Figure 7, which is "4.358899," (5) the value of the Frobenius norm of the submatrix indicated by symbol e, f, h, and i in Figure 7, which is "0," and (6) the value of the Frobenius norm of the submatrix indicated by symbol g in Figure 7, which is "2.44949," into each component of the 3 x 3 matrix, which is the above m x m matrix.

In the example shown in FIG. 8, the strengths of the mutual interactions (1) to (9) below are shown.
(1) The strength of the interaction relationship between members when a member assigned "role X" makes an effort to contact a member assigned the same "role X" (2) The strength of the interaction relationship between members when a member assigned "role X" makes an effort to contact a member assigned "role Y" (3) The strength of the interaction relationship between members when a member assigned "role X" makes an effort to contact a member assigned "role Z" (4) The strength of the interaction relationship between members when a member assigned "role Y" makes an effort to contact a member assigned "role X" (5) The strength of the interaction relationship between members when a member assigned "role Y" makes an effort to contact a member assigned the same "role Y" (6) The strength of the interaction relationship between members when a member assigned "role Y" makes an effort to contact a member assigned "role Z" (7) The strength of the interaction relationship between members when a member assigned "role Z" makes an effort to contact a member assigned "role X" (8) The strength of the interaction relationship between members when a member assigned "role Z" makes an effort to contact a member assigned "role Y" (9) The strength of the interaction between members assigned "role Z" through an action from a member assigned "role Z" to another member assigned the same "role Z"

The results obtained in S17 above constitute an evaluation model of the interaction relationships between roles. Using this evaluation model, it is possible to analyze the interaction relationships between members assigned the same role, and the interaction relationships between members assigned different roles. That is, in this embodiment, it is possible to analyze the interaction relationships between members assigned the same role, and the interaction relationships between members assigned different roles from the communication log. This makes it possible to analyze the team formation status from the interaction relationships within and between roles, in relation to the roles expected at the beginning of the team formation.

FIG. 9 is a diagram showing an example of the analysis result of the evaluation model between roles.
The evaluation model between roles makes it possible to analyze the differences in the degree of influence between roles.
The graph shown in FIG. 9 shows the degree of encouragement for each of the roles assigned to team members when the roles are divided into two types, "role K" and "role F."

This graph shows that the strength of the interaction relationship due to the influence from members assigned role K to members assigned the same role K is relatively strong, the strength of the interaction relationship due to the influence from members assigned role K to members assigned role F is relatively weak, the strength of the interaction relationship due to the influence from members assigned role K to members assigned role F is relatively weak, the strength of the interaction relationship due to the influence from members assigned role F to members assigned role K is relatively weak, and the strength of the interaction relationship from role F to role K is relatively weak, and the strength of the interaction from role F to the same role F, i.e., there is no interaction relationship due to the influence from members assigned role F to members assigned the same role F.

FIG. 10 is a diagram showing an example of a time-series analysis result of the evaluation model between roles.
By obtaining evaluation models between roles multiple times, such as as a time-series model, and using them for analysis, it is possible to analyze the transition in the magnitude of influence between roles, i.e., the transition in the strength of the interaction relationship due to influence from a member assigned a certain role to a member assigned another role.

In the example shown in Figure 10, the changes in the magnitude of influence from role K to the same role K (symbol a in Figure 10), the magnitude of influence from role K to role F (symbol b in Figure 10), the magnitude of influence from role F to role K (symbol c in Figure 10), and the magnitude of influence from role F to the same role F (symbol d in Figure 10) are shown at three times: when the task phase "policy determination" is performed, when the task phase "general document creation" is performed, and when the task phase "consolidation and organization of documents" is performed.

FIG. 11 is a block diagram showing an example of a hardware configuration of an evaluation model generation system 100 according to an embodiment of the present invention.
11, the evaluation model generation system 100 according to the above embodiment is configured, for example, by a server computer or a personal computer, and has a hardware processor 111A such as a CPU. A program memory 111B, a data memory 112, an input/output interface 113, and a communication interface 114 are connected to the hardware processor 111A via a bus 115.

The communication interface 114 includes, for example, one or more wireless communication interface units, and enables the transmission and reception of information to and from a communication network NW. As a wireless interface, for example, an interface that adopts a low-power wireless data communication standard such as a wireless LAN (Local Area Network) is used.

An input device 300 and an output device 400 that are attached to the evaluation model generating system 100 and are used by a user or the like are connected to the input/output interface 113 .
The input/output interface 113 takes in operation data input by a user or the like through an input device 300 such as a keyboard, a touch panel, a touchpad, a mouse, or the like, and outputs output data to an output device 400 including a display device using liquid crystal or organic EL (Electro Luminescence), or the like, for display. The input device 300 and the output device 400 may be devices built into the evaluation model generation system 100, or may be input devices and output devices of other information terminals capable of communicating with the evaluation model generation system 100 via the network NW.

The program memory 111B is a non-transient tangible storage medium that combines a non-volatile memory such as a HDD (Hard Disk Drive) or SSD (Solid State Drive) that can be written to and read from at any time, with a non-volatile memory such as a ROM (Read Only Memory), and stores the programs necessary to execute various control processes, etc. according to one embodiment.

The data memory 112 is a tangible storage medium that combines, for example, the above-mentioned non-volatile memory with a volatile memory such as RAM (Random Access Memory), and is used to store various data acquired and created during various processing steps.

The evaluation model generating system 100 according to an embodiment of the present invention can be configured as a data processing system or an information processing device having a processing function unit implemented by software.
The storage system used as a work memory or the like by the evaluation model generation system 100 can be configured by using the data memory 112 shown in Fig. 11. However, these configured storage areas are not essential components within the evaluation model generation system 100, and may be areas provided in a storage system such as an external storage medium such as a Universal Serial Bus (USB) memory, or a database server located in the cloud.

The above processing function unit can be realized by having the above hardware processor 111A read and execute a program stored in the program memory 111B. Note that this processing function unit may also be realized in a variety of other forms, including integrated circuits such as application specific integrated circuits (ASICs (Application Specific Integrated Circuits) or FPGAs (Field-Programmable Gate Arrays)).

The methods described in each embodiment can be stored as a program (software means) that can be executed by a computer on a recording medium such as a magnetic disk (floppy disk, hard disk, etc.), optical disk (CD-ROM, DVD, MO, etc.), semiconductor memory (ROM, RAM, flash memory, etc.), and can be distributed by transmitting it via a communication medium. The programs stored on the medium also include a setting program that configures the software means (including not only execution programs but also tables and data structures) that the computer executes. The computer that realizes this device reads the program recorded on the recording medium, and in some cases configures the software means using the setting program, and executes the above-mentioned processing by having the operation controlled by this software means. The recording medium referred to in this specification is not limited to a recording medium for distribution, but also includes storage media such as a magnetic disk or semiconductor memory installed inside the computer or in a device connected via a network.

The present invention is not limited to the above-described embodiments, and can be modified in various ways during implementation without departing from the gist of the invention. The embodiments may also be implemented in appropriate combination, in which case the combined effects can be obtained. Furthermore, the above-described embodiments include various inventions, and various inventions can be extracted by combinations selected from the multiple constituent elements disclosed. For example, if the problem can be solved and an effect can be obtained even if some constituent elements are deleted from all the constituent elements shown in the embodiments, the configuration from which these constituent elements are deleted can be extracted as an invention.

100... Evaluation model generation system 10... Input unit 20... Role-action relationship evaluation model generation unit

Claims (4)

an information processing device comprising: a calculation unit that calculates a value indicating at least one of the strength of an interaction relationship between members assigned the same role and the strength of an interaction relationship between members assigned different roles, based on information related to a degree of contribution between a first member, who is assigned any of multiple types of roles, and a second member, who is assigned any of multiple types of roles, to a group to which the first member belongs, through an action of the first member, who is assigned any of multiple types of roles, influencing the second member, who is assigned any of multiple types of roles, and the first member belonging to the group includes multiple members assigned the same role. the information relating to the degree of contribution is information expressed in a matrix associated with roles and the personnel to whom the roles are assigned;
The calculation unit is
decomposing the matrix into a plurality of sub-matrices each having rows associated with personnel assigned the same role and columns associated with personnel assigned the same role, and calculating, based on the sub-matrices, a value indicative of at least one of a strength of interaction relationships between the personnel assigned the same role and a strength of interaction relationships between the personnel assigned different roles;
The information processing device according to claim 1 . The calculation unit is
calculating a Frobenius norm of the submatrix to calculate a value indicating at least one of the strength of an interaction relationship between the personnel assigned the same role and the strength of an interaction relationship between the personnel assigned different roles;
The information processing device according to claim 2 . A method performed by an information processing device, comprising:
and calculating, by a calculation unit of the information processing device, a value indicating at least one of a strength of an interaction relationship between members assigned the same role and a strength of an interaction relationship between members assigned different roles, based on information related to a degree of contribution between a first member, who is assigned any of multiple types of roles, and a second member, who belongs to a group including a plurality of members assigned the same role, through an action of the first member, who is assigned any of multiple types of roles, influencing the second member, who is assigned any of multiple types of roles.

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