Member evaluation support device, member evaluation support method, program, and recording medium

Abstract

To provide a member evaluation assistance device capable of providing assistance in member evaluation using data on group members while minimizing the leakage risk of confidential information.SOLUTION: A member evaluation assistance device of the present invention comprises a member data acquisition unit and a member data conversion unit, the member data acquisition unit being configured to acquire member data on each member of a group, and the member data conversion unit being configured to convert the acquired member data of each member into a member evaluation score for each evaluation item according to a preset rule.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a member evaluation support device, a member evaluation support method, a program, and a recording medium. [Background technology]

[0002] In recent years, companies and other organizations have been promoting DX (Digital Transformation: reform through digitalization) and data utilization. However, internal data held by companies and other organizations contains personal information and trade secrets, which poses challenges such as difficulty in handling and problems with disclosing the data. For this reason, it is known that when using internal data, data anonymization technology (e.g., Patent Document 1) is applied. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Special Publication No. 2021-516811 Summary of the Invention [Problem to be solved by the invention]

[0004] However, when data is anonymized as in the technology of Patent Document 1, information that identifies individuals is deleted, which poses a problem that the data cannot be used to evaluate individuals, give advice, etc. Furthermore, even if personal information is anonymized, if the data contains confidential information such as trade secrets, there is a risk of the confidential information being leaked, which is a problem.

[0005] Therefore, an object of the present invention is to provide a member evaluation support device that can support the evaluation of group members using data on the members while suppressing the risk of confidential information leaking. [Means for solving the problem]

[0006] In order to achieve the above object, the member evaluation support device of the present invention comprises: A member data acquisition unit and a member data conversion unit are included, the member data acquisition unit acquires member data regarding each member in the group; The member data conversion unit converts the acquired member data into a member evaluation score for each evaluation item for each member in accordance with a predetermined rule.

[0007] The member evaluation support method of the present invention includes: A member data acquisition step and a member data conversion step are included, the member data acquisition step acquires member data regarding each member in the group; The member data conversion step converts the acquired member data into a member evaluation score for each evaluation item for each member in accordance with a predetermined rule.

[0008] The program of the present invention is a program for causing a computer to execute a member data acquisition procedure and a member data conversion procedure, the member data acquisition step acquires member data regarding each member in the group; The member data conversion procedure is a program that converts the acquired member data into a member evaluation score for each evaluation item according to a predetermined rule for each member. [Effects of the Invention]

[0009] According to the present invention, it is possible to support evaluation of members using member data while suppressing the risk of confidential information leaking. [Brief explanation of the drawings]

[0010] [Figure 1] FIG. 1 is a block diagram showing an example of the configuration of a member evaluation support device according to the first embodiment. [Figure 2] FIG. 2 is a block diagram illustrating an example of a hardware configuration of the member evaluation supporting device according to the first embodiment. [Figure 3]FIG. 3 is a flowchart showing an example of processing in the member evaluation supporting device of the first embodiment. [Figure 4] FIG. 4 is a block diagram illustrating an example of the configuration of a member evaluation support device according to the second embodiment. [Figure 5] FIG. 5 is a flowchart showing an example of processing in the member evaluation supporting device of the second embodiment. [Figure 6] FIG. 6 is a block diagram illustrating an example of the configuration of a member evaluation support device according to the third embodiment. [Figure 7] FIG. 7 is a flowchart showing an example of processing in the member evaluation supporting device of the third embodiment. [Figure 8] FIG. 8 is a schematic diagram showing an example of image information generated by the image generating unit. [Figure 9] FIG. 9 is a schematic diagram showing an example of image information generated by the image generating unit. [Figure 10] FIG. 10 is a block diagram showing an example of the configuration of a member evaluation support device according to the fourth embodiment. [Figure 11] FIG. 11 is a flowchart showing an example of processing in the member evaluation supporting device according to the fourth embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0011] In the present invention, the term "group" is not particularly limited and refers to a group of people consisting of multiple members. Specific examples of the group include companies, government agencies, school organizations, various organizations, medical institutions, educational providers, sports teams, and groups of service users. In the present invention, the term "member" is not particularly limited and refers to a member of the group. Specific examples of the member include employees, staff, teachers, students, union members, members, medical professionals, athletes, and service users.

[0012] Next, embodiments of the present invention will be described with reference to the drawings. The present invention is not limited to the following embodiments. In the following drawings, the same parts are denoted by the same reference numerals. Furthermore, the descriptions of the embodiments can be mutually incorporated unless otherwise specified, and the configurations of the embodiments can be combined unless otherwise specified.

[0013] [Embodiment 1] FIG. 1 is a block diagram showing an example of the configuration of a member evaluation support device 10 according to this embodiment. As shown in FIG. 1, the device 10 includes a member data acquisition unit 11 and a member data conversion unit 12. Although not shown, the member evaluation support device 10 may be connectable to an external database via a communication network. Also, although not shown, the member evaluation support device 10 may also be connectable to an external terminal of a system administrator via a communication network, for example, and the system administrator may manage the member evaluation support device 10 from the external terminal. Also, although not shown, the device 10 may include a storage unit.

[0014] The device 10 may be, for example, a single device including the above-described units, or a device in which the units can be connected via a communication network. The device 10 can also be connected to an external device (described later) via the communication network. The communication network is not particularly limited, and any known network can be used, for example, wired or wireless. Examples of communication networks include the Internet, the World Wide Web (WWW), a telephone line, a Local Area Network (LAN), a Storage Area Network (SAN), a Delay Tolerant Networking (DTN), a Low Power Wide Area Network (LPWA), and a Local 5G (L5G). Examples of wireless communication include Wi-Fi (registered trademark), Bluetooth (registered trademark), Local 5G, and LPWA. Examples of wireless communication include direct communication between devices (Ad Hoc communication), infrastructure communication, and indirect communication via an access point. The device 10 may be incorporated into a server as a system. The device 10 may be, for example, a personal computer (PC, for example, a desktop or notebook type) on which the program of the present invention is installed, a smartphone, a tablet terminal, etc. Furthermore, the device 10 may be in the form of cloud computing or edge computing, for example, in which at least one of the units is located on a server and the other units are located on a terminal.

[0015] 2 shows a block diagram of the hardware configuration of the device 10. The device 10 includes, for example, a CPU 101, a memory 102, a bus 103, a storage device 104, an input device 106, a display device 107, and a communication device 108. The components of the device 10 are connected to each other via the bus 103 and their respective interfaces (I / F).

[0016] The CPU 101 operates in cooperation with other components, for example, via a controller (system controller, I / O controller, etc.), and is responsible for overall control of the device 10. In the device 10, the CPU 101 executes, for example, the program 105 of the present invention and other programs, and also reads and writes various types of information. Specifically, for example, the CPU 101 functions as a member data acquisition unit 11 and a member data conversion unit 12. The device 10 includes a CPU as a computing device, but may also include other computing devices such as a GPU (Graphics Processing Unit) or an APU (Accelerated Processing Unit), or may include a combination of the CPU and these.

[0017] The bus 103 can also be connected to, for example, external devices. Examples of the external devices include an external storage device (such as an external database), a printer, an external input device, an external display device, and an external imaging device. The device 10 can be connected to an external network (the communication line network) by, for example, a communication device 108 connected to the bus 103, and can also be connected to other devices via the external network.

[0018] The memory 102 may be, for example, a main memory (primary storage device). When the CPU 101 performs processing, the memory 102 reads various operation programs, such as a program 105 of the present invention stored in a storage device 104 (described later), and the CPU 101 receives data from the memory 102 and executes the program. The main memory may be, for example, a RAM (random access memory). The memory 102 may also be, for example, a ROM (read only memory).

[0019] The storage device 104 is also referred to as an auxiliary storage device, for example, in contrast to the main memory (primary storage device). As described above, the storage device 104 stores an operating program 105 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 data from and to the recording medium. The recording medium is not particularly limited and may be, for example, an internal or external type, such as a hard disk (HD), CD-ROM, CD-R, CD-RW, MO, DVD, flash memory, or memory card. The storage device 104 may be, for example, a hard disk drive (HDD) or a solid-state drive (SSD) in which the recording medium and drive are integrated. When the device 10 includes, for example, the storage unit, the storage device 104 functions as the storage unit.

[0020] In the present device 10, the memory 102 and the storage device 104 can also store various information such as log information, information acquired from an external database (not shown) or an external device, information generated by the present device 10, and information used when the present device 10 executes processing. Note that at least a portion of the information may be stored, for example, in an external server other than the memory 102 and the storage device 104, or may be stored in a distributed manner across multiple terminals using blockchain technology or the like.

[0021] The device 10 further includes, for example, an input device 106 and a display 107. Examples of the input device 106 include pointing devices such as a touch panel, track pad, and mouse; a keyboard; imaging means such as a camera and scanner; card readers such as an IC card reader and a magnetic card reader; and audio input means such as a microphone. Examples of the display 107 include display devices such as an LED display and a liquid crystal display. In the first embodiment, the input device 106 and the display 107 are configured separately, but the input device 106 and the display 107 may also be configured as an integrated device, such as a touch panel display.

[0022] Next, an example of the member evaluation support method of this embodiment will be described based on the flowchart in Figure 3. The member evaluation support method of this embodiment is implemented as follows, for example, using the member evaluation support device 10 shown in Figures 1 and 2. It should be noted that the member evaluation support method of this embodiment is not limited to use of the member evaluation support device 10 of Figures 1 and 2. It should be noted that in the following explanation, an example will be given in which the group is a company, the members are employees of the company, and the evaluation of the employees is supported, but the present invention is in no way limited to this. In the following explanation, "company" can be read as "group", and "employees" can be read as "members", respectively.

[0023] First, the member data acquiring unit 11 acquires member data about each member in the group (S1, member data acquiring step). The member data is, for example, information linking the member's identification information with evaluation criteria information related to the member's evaluation in the group to which the member belongs. In the present invention, "evaluation" may be, for example, a self-evaluation or an evaluation by others. The evaluation criteria information may be, for example, information about the member's ability, experience, or activities in the group. The member's identification information may be, for example, the member's name, group identification information (e.g., internal ID, employee number, etc.), telephone number, email address, etc. The member data acquiring unit 11 may acquire the member data, for example, via the communication network, from a database or server that stores the member data, from the member's terminal, or from an in-group system operated by the group to which the member belongs (e.g., a system that manages personnel evaluation data, a system that manages work history data, etc.). The frequency with which member data is acquired by the member data acquisition unit 11 may be, for example, periodically, such as once a week, once a month, once every three months, once every six months, once a year, etc., or may be acquired every time data in the system from which the member data is acquired is updated, or may be acquired every time member data is input into the device 10 by a member or group administrator. The member data acquired by the device 10 may be output to an external database or server via the communication network, for example, or may be stored in a storage unit such as the memory 102 or the storage device 104.

[0024] A specific example of the evaluation criteria information will be described below, taking the example where the group is a company and the members are employees of the company. Note that the evaluation criteria information is not limited to the following examples. Specific examples of the evaluation criteria information include personnel evaluation data and work history data of employees at the company, such as attendance information, personnel evaluation, qualification information, work experience, award history, and recommended behavior information. The recommended behavior information is, for example, information on behavior, attitude, and behavior that are factors (i.e., recommended) that improve the abilities, experience, and skills of members when quantifying (evaluating) their abilities, experience, and skills.

[0025] The member data may include, for example, other information such as attribute information of members, activity data of members, etc. The attribute information may include, for example, gender, age, position in the group (for example, department, job title, rank, occupational area, qualifications held, years of experience, etc.), etc. The activity data of members may include, for example, information such as results of health checkups, participation in CSR activities, participation in volunteer activities, etc.

[0026] Next, the member data conversion unit 12 converts the acquired member data into a member evaluation score for each evaluation item according to a predetermined rule (hereinafter also referred to as a "conversion rule") for each member (S2, member data conversion step). First, the member data conversion unit 12 extracts, for example, the evaluation criteria information from the member data for each member identified by the member identification information. Then, the member data conversion unit 12 can convert the member data into a member evaluation score by, for example, adding up the scores of the evaluation items corresponding to the extracted evaluation criteria information according to a rule described below, and setting the total value of the scores for each evaluation item as the member evaluation score. The member evaluation score may also be referred to as, for example, member evaluation points, member parameters, etc.

[0027] The conversion rule is, for example, information in which the evaluation criteria information included in the member information, the evaluation items, and the levels (scores) of the evaluation items are linked to each other. In the conversion rule, the combination of the evaluation items and the levels (scores) of the evaluation items can be set arbitrarily depending on the purpose of evaluating the members. In the conversion rule, the evaluation criteria information and the evaluation items may be, for example, one evaluation item corresponding to one piece of evaluation criteria information, or two or more evaluation items corresponding to one piece of evaluation criteria information. In the latter case, for example, the same score or different scores may be linked to each of the multiple evaluation items.

[0028] The evaluation items may be, for example, items related to the evaluation of a group of members, and may be one type or two or more types. The evaluation items may also be referred to as basic parameters. The evaluation items are not particularly limited and can be set appropriately according to the evaluation policy of the group members, but preferably include items related to human resource development. Specific examples of the evaluation items include acquiring the necessary knowledge and skills (learning); working beyond company boundaries (crossing boundaries); educating and supporting subordinates and junior colleagues (developing); acting based on market and customer trends (seeing the market); planning and executing business and strategies (creating a business); building relationships with people inside and outside the company (connecting), coordinating between people with different interests (involving others in dialogue); applying existing knowledge and skills to new situations (transferring); calmly acting even when problems arise (persevering); developing skills by using your hands (tweaking); influencing and leading those around you (leading). The evaluation items may be rephrased as, for example, basic parameters of the members.

[0029] The processing by the member data conversion unit 12 will be explained using a specific example. First, the following Table 1 shows an example of a combination of evaluation criteria information, evaluation items, and the level (score) of the evaluation items contained in the member data in the conversion rule. Note that the conversion rule is not limited to the specific example shown in Table 1 below.

[0030] [Table 1]

[0031] The member data conversion unit 12 extracts the member evaluation criteria information from the member data acquired in S1, for example. Then, if, for example, the member's qualification acquisition information (language qualification acquired) is extracted as the member evaluation criteria information, the member data conversion unit 12 adds one point to the score for the evaluation item: market (perception) for the member evaluation criteria information in accordance with the conversion rules shown in Table 1, and converts the member data into a member evaluation score. In the same way, the member data conversion unit 12 can convert the member data into a member evaluation score for each evaluation item by calculating the score for each evaluation item for each piece of evaluation criteria information included in the member data.

[0032] In the member evaluation support method of this embodiment, the case where S1 to S2 are executed sequentially has been described as an example, but the present invention is not limited to this. In the present invention, the steps may be executed simultaneously or separately. In the latter case, the order of execution is not particularly limited and is arbitrary.

[0033] According to the member evaluation support device of this embodiment, the member data conversion unit converts the evaluation criteria information included in the member data for each member in a group acquired by the member data acquisition unit into a member evaluation score according to preset rules. Therefore, the member evaluation support device of this embodiment, for example, enables evaluation of members based on member data without disclosing the member data. Therefore, the member evaluation support device of the present invention can support member evaluation using member data while reducing the risk of confidential information leaks. Furthermore, since the member evaluation support device of the present invention can convert the member data into the evaluation score, it can objectively score the member's experience, etc. Therefore, the member evaluation support device of the present invention allows members themselves to check their own evaluation scores and objectively confirm their own growth, which can, for example, increase the members' motivation to participate in group activities. Furthermore, the member evaluation support device of the present invention can also be used by group managers to objectively evaluate the abilities of members.

[0034] [Embodiment 2] This embodiment is another example of a member evaluation support device.

[0035] The member evaluation support device of this embodiment is similar to the member evaluation support device 10 of the first embodiment, except that it includes a score accumulation unit and a score output unit in addition to the configuration of the member evaluation support device 10 of the first embodiment, and the description thereof can be used. The member evaluation support device 10A of this embodiment includes, for example, a score accumulation unit 13 and a score output unit 14, and the score accumulation unit 13 accumulates the member evaluation score for each member and for each evaluation item, and the score output unit 14 outputs the member evaluation score for each member and for each evaluation item.

[0036] Fig. 4 is a block diagram showing an example of the configuration of a member evaluation support device 10A of this embodiment. As shown in Fig. 4, the member evaluation support device 10A includes a score accumulation unit 13 and a score output unit 14 in addition to the configuration of the member evaluation support device 10 of embodiment 1. The hardware configuration of the member evaluation support device 10A is the same as that of the member evaluation support device 10 of Fig. 2, except that the CPU 101 includes the configuration of the member evaluation support device 10A of Fig. 4 instead of the configuration of the member evaluation support device 10 of Fig. 1.

[0037] Next, the member evaluation support method of this embodiment will be described using the flowchart of Fig. 5. The member evaluation support method of this embodiment can be implemented, for example, using the member evaluation support device 10A of this embodiment shown in Fig. 4. Note that the member evaluation support method of the present invention is not limited to use of the member evaluation support device 10A.

[0038] First, steps S1 and S2 are carried out in the same manner as steps S1 and S2 in the member evaluation support method of the first embodiment.

[0039] Next, the score accumulation unit 13 accumulates the member evaluation score for each member and for each evaluation item (S3, score accumulation step). The score accumulation unit can accumulate the member evaluation score for each member and for each evaluation item, for example, by linking the member evaluation score for each evaluation item to the member identification information and storing it. The score accumulation unit 13 may accumulate the member evaluation scores by storing them in the memory 102 or storage device 104 of the member evaluation support device 10A, or may accumulate the member evaluation scores by transmitting the member evaluation scores to an external database or server outside the device via a communication network and storing the member evaluation scores in the external database or server.

[0040] Then, the score output unit 14 outputs the member evaluation score for each member and for each evaluation item (S4, score output step). The score output unit 14 may, for example, output (display) the member evaluation score on the display 107 of the member evaluation support device 10A, or may output (transmit) the member evaluation score via a communication network to a terminal carried by a manager of the members in the group, or may output (transmit) the member evaluation score linked to the member identification information of each member to a terminal carried by each member.

[0041] Furthermore, in the member evaluation support device 10A of this embodiment, for example, if the member data includes work experience data for each member, the member data conversion unit 12 may, for example, convert the work experience data into a work experience cumulative score for each member, the score accumulation unit 13 may accumulate the work experience cumulative score for each member, and the score output unit 14 may output the member evaluation score and the work experience cumulative score for each member.

[0042] The work experience data is, for example, information on the work experience of members within a company, such as sales experience, administrative experience, management experience, development experience, construction experience, language experience, programming language experience, OS experience (for example, Linux (registered trademark) or Windows (registered trademark) development experience), and database experience.

[0043] The member data conversion unit 12 can convert the work experience data into a work experience cumulative score, for example, as follows. First, for each work experience included in the work experience data, a work experience item is associated with a work experience score for each work experience item. The work experience score may be, for example, set relatively high scores for relatively difficult tasks and relatively low scores for relatively easy tasks. The member data conversion unit 12 then adds the associated work experience scores to the corresponding work experience items based on the duration of each task performed by the member in the acquired work experience data, and converts the sum of the work experience scores for each work experience item into the member's work experience cumulative score. Note that the conversion of the work experience cumulative score is not limited to this. For example, the work experience cumulative score may be added based on experience data indirectly related to the task (e.g., educational experience, acquired qualifications, hobbies, special skills, personal connections, etc.). In this case, for example, the work experience score for each work experience item may be associated with experience data indirectly related to the task.

[0044] The score accumulation unit 13 accumulates the work experience cumulative score for each member, for example, in the same manner as in S3, and the score output unit 14 can output the member evaluation score and the work experience cumulative score for each member, in the same manner as in S4. In this way, when the member data includes work experience data, it is possible to evaluate the member's evaluation from multiple angles, including the member evaluation score and the work experience cumulative score, so that the member's ability can be evaluated in more detail.

[0045] In the member evaluation support method of this embodiment, the case where S1 to S4 are executed sequentially has been described as an example, but the present invention is not limited to this. In the present invention, the steps may be executed simultaneously or separately. In the latter case, the order of execution is not particularly limited and is arbitrary.

[0046] According to the member evaluation support device of this embodiment, the score accumulation unit can accumulate member evaluation scores for each member and for each evaluation item, and the score output unit can output member evaluation scores for each member and for each evaluation item. Furthermore, as described above, the member evaluation support device of this embodiment can output member evaluation scores to both group members and their managers. This allows, for example, managers to evaluate members, and members themselves to objectively understand the state of their own evaluations. Furthermore, the member evaluation support device of this embodiment converts various evaluation criteria information contained in member data into member evaluation scores and outputs them, allowing members themselves to more intuitively understand their own evaluations, thereby, for example, increasing members' motivation to participate in group activities. As described above, the member evaluation score in this embodiment is information obtained by converting evaluation criteria information contained in member data, and therefore does not include, for example, confidential information of the group contained in the member data. Therefore, even if each member takes the member evaluation score output by this embodiment outside the group, the leakage of confidential information can be prevented. As a result, when a member leaves a group to which he or she currently belongs, that member can present the member evaluation score to the next group to which he or she belongs as information indicating his or her own evaluation and ability. Therefore, according to the present invention, for example, it is possible to increase the mobility of human resources.

[0047] [Embodiment 3] This embodiment is another example of a member evaluation support device.

[0048] The member evaluation support device of this embodiment is similar to the member evaluation support device 10A of the second embodiment except that it includes an image generation unit in addition to the configuration of the member evaluation support device 10A of the second embodiment, and the description thereof can be used. The member evaluation support device 10B of this embodiment includes, for example, an image generation unit 15, which generates the evaluation score image for each member based on the member evaluation score, and the score output unit 14 outputs the evaluation score image.

[0049] Fig. 6 is a block diagram showing an example of the configuration of a member evaluation support device 10B of this embodiment. As shown in Fig. 6, the member evaluation support device 10B includes an image generation unit 15 in addition to the configuration of the member evaluation support device 10A of embodiment 2. The hardware configuration of the member evaluation support device 10B is the same as that of the member evaluation support device 10 of Fig. 2, except that the CPU 101 includes the configuration of the member evaluation support device 10B of Fig. 6 instead of the configuration of the member evaluation support device 10 of Fig. 1.

[0050] Next, the member evaluation support method of this embodiment will be described with reference to the flowchart of Fig. 7. The member evaluation support method of this embodiment can be implemented, for example, using the member evaluation support device 10B of this embodiment shown in Fig. 6. Note that the member evaluation support method of the present invention is not limited to use of the member evaluation support device 10B.

[0051] First, steps S1 to S3 are carried out in the same manner as steps S1 to S3 in the member evaluation support method of the second embodiment.

[0052] Next, the image generation unit 15 generates an evaluation score image for each member based on the member evaluation score (S5, image generation step). The image generation unit 15 may generate an evaluation score image by, for example, acquiring an evaluation score image previously stored in association with the member evaluation score based on the member score, or may generate an evaluation score image in real time based on the member evaluation score. The evaluation score image is not particularly limited, and may be an image representing the member evaluation score, but preferably includes at least one of a graph image and an avatar image. The graph image is not particularly limited, and any graph can be used. However, for example, a radar chart such as that shown in FIG. 8 is preferable from the viewpoint of making it easier for members to check their own parameters. When the evaluation score image is a graph image, for example, the image generation unit 15 can generate an evaluation score image for each member based on the member evaluation score by creating a graph using the scores of each evaluation item based on the member evaluation score associated with the member identification information. In addition, in the graph image, the image generation unit 15 may generate, in addition to a graph based on the member evaluation score of each member, a graph based on the average value of the member evaluation score of each member in the group, a graph based on the maximum value of the member evaluation score of each member, etc.

[0053] Next, a case where the image information includes an avatar image will be described. The image generation unit 15, for example, can set an avatar for each member and change the avatar in accordance with the member evaluation score. A specific example of processing by the image generation unit 15 will be described with reference to FIG. 9. FIG. 9(A) is an image showing a specific example of an avatar (character image information) set by the image generation unit 15, and FIGS. 9(B) to 9(D) are images showing examples of methods for expressing changes in the avatar. First, the image generation unit 15 sets an avatar for each member, for example, in association with the member identification information. The avatar may be image information such as a character image 141 as shown in FIG. 9(A). For example, in an initial stage, the image generation unit 15 displays the character image 141 as the avatar, as shown in FIG. 9(B). For example, when the member evaluation score of the member changes, the image generation unit 15 changes the image of the character image 141 in accordance with the change. Specific examples of changes in the avatar according to the member evaluation score will be described using FIGS. 9(C) and 9(D). The image generation unit 15 may, for example, superimpose score image information 142 linked to the member evaluation score on a character image 141 and display the character as if wearing an item, as shown in FIG. 9(C), thereby representing the change in the avatar. Alternatively, as shown in FIG. 9(D), the image generation unit 15 may represent the change in the avatar by displaying score image information 142 around the character image 141. The score image information 142 may, for example, be image information of items linked to the score level for each evaluation item. Specific examples of the image information of items include image information of avatar accessories such as clothes, hats, coats, and tools worn by the avatar. It is preferable that, for example, image information of simple accessories is linked to a relatively low level of the member evaluation score, and image information of luxurious accessories is linked to a relatively high level of the score. Also, for example, information on the acquisition of a specific qualification may be linked to image information of the item.In this case, the image generation unit 15 may, for example, change the avatar of a member who has information on the acquisition of a specific qualification as the member information so that an item image linked to the qualification information is displayed.

[0054] Then, the score output unit 14 outputs the evaluation score image (S6, score output step). The output of the evaluation score image by the score output unit 14 can be, for example, the same as the output of the member evaluation score in S4. Furthermore, the score output unit 14 may, for example, output the member evaluation score in S4 together with the evaluation score image. The output evaluation score image is, for example, received by the member terminal (also called the member terminal) via a communication unit of the terminal held by the member, and displayed on the display unit of the member terminal.

[0055] In the member evaluation support method of this embodiment, the case where S1 to S3 and S5 to S6 are executed sequentially has been described as an example, but the present invention is not limited to this. In the present invention, the steps may be executed simultaneously or separately. In the latter case, the order of execution is not particularly limited and is arbitrary.

[0056] The member evaluation supporting device 10B of this embodiment can generate an evaluation score image based on the converted member evaluation score, for example, by the image generating unit 15. Therefore, according to the member evaluation supporting device of this embodiment, it becomes possible to understand the evaluation of a member more intuitively, for example.

[0057] [Embodiment 4] This embodiment is another example of a member evaluation support device.

[0058] The member evaluation support device of this embodiment is similar to the member evaluation support device 10A of embodiment 2, except that it includes a recommendation unit in addition to the configuration of the member evaluation support device 10A of embodiment 2, and the description thereof can be used. The member evaluation support device 10C of this embodiment includes, for example, a recommendation unit 16, which generates career design recommendation information for each member based on the member evaluation score, and a score output unit 14 outputs the career design recommendation information.

[0059] Fig. 10 is a block diagram showing an example of the configuration of a member evaluation support device 10C of this embodiment. As shown in Fig. 10, the member evaluation support device 10C includes a recommendation unit 16 in addition to the configuration of the member evaluation support device 10A of embodiment 2. The hardware configuration of the member evaluation support device 10C is the same as that of the member evaluation support device 10 of Fig. 2, except that the CPU 101 includes the configuration of the member evaluation support device 10C of Fig. 10 instead of the configuration of the member evaluation support device 10 of Fig. 1.

[0060] Next, the member evaluation support method of this embodiment will be described with reference to the flowchart of Fig. 11. The member evaluation support method of this embodiment can be implemented, for example, using the member evaluation support device 10C of this embodiment shown in Fig. 10. Note that the member evaluation support method of the present invention is not limited to use of the member evaluation support device 10C.

[0061] First, steps S1 to S3 are carried out in the same manner as steps S1 to S3 in the member evaluation support method of the second embodiment.

[0062] Next, the recommendation unit 16 generates career design recommendation information for each member based on the member evaluation scores (S7, recommendation process). The career recommendation information is, for example, information that presents the member evaluation scores required for career development in the group. First, prior to processing by the recommendation unit 16, career path standard information is prepared that pre-links the careers (also referred to as job areas, job functions, etc.) of the members in the group, the evaluation items, and the scores of the evaluation items. The career path standard information can be set, for example, based on the member evaluation scores of members belonging to each career in the group. The career path standard information may, for example, set the member evaluation scores of members belonging to the career as a combination of the evaluation items and scores of the career, or may set the average value of the member evaluation scores of members belonging to the career as a combination of the evaluation items and scores of the career. The recommendation unit 16 then refers to the career path standard information and compares the member evaluation score for each member with the score for each evaluation item associated with an arbitrary career. This allows the recommendation unit 16 to calculate the difference between the member evaluation score for each member and the evaluation item score associated with the career. Based on the difference, the recommendation unit 16 can generate career design recommendation information such as, for example, "By gaining more experience in XX, you can advance to career AA, and by gaining more experience in XX, you can advance to career BB."

[0063] Then, the score output unit 14 outputs the career design recommendation information (S8, score output step). The output of the career design recommendation information by the score output unit 14 can be, for example, similar to the output of the member evaluation score in S4. Furthermore, the score output unit 14 may output, for example, the member evaluation score in S4 together with the career design recommendation information.

[0064] In the member evaluation support method of this embodiment, the case where steps S1 to S3 and S7 to S8 are executed sequentially has been described as an example, but the present invention is not limited to this. In the present invention, the steps may be executed simultaneously or separately. In the latter case, the order of execution is not particularly limited and is arbitrary.

[0065] The member evaluation support device 10C of this embodiment can generate career design recommendation information for each member based on the current member evaluation score by the recommendation unit 16. This allows, for example, the member to clarify his or her position in the group and the skills he or she needs to acquire in the future, thereby increasing motivation for his or her own growth.

[0066] [Embodiment 5] The program of this embodiment is a program for causing a computer to execute each step of the member evaluation support method described above. Specifically, the program of this embodiment is a program for causing a computer to execute a member data acquisition procedure and a member data conversion procedure.

[0067] the member data acquisition step acquires member data regarding each member in the group; The member data conversion procedure converts the acquired member data into a member evaluation score for each evaluation item for each member in accordance with a predetermined rule.

[0068] The program of this embodiment can also be said to be a program that causes a computer to function as a member data acquisition procedure and a member data conversion procedure.

[0069] The program of this embodiment can cite the descriptions of the member evaluation support device and member evaluation support method of the present invention. For example, the "procedure" in each of the steps can be read as "processing." The program of this embodiment may be recorded on a computer-readable recording medium. The recording medium is, for example, a non-transitory computer-readable storage medium. The recording medium is not particularly limited, and examples thereof include random access memory (RAM), read-only memory (ROM), hard disk (HD), optical disk, and floppy disk (FD).

[0070] Although the present invention has been described above with reference to the embodiments, the present invention is not limited to the above embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.

[0071] <Additional Notes> Some or all of the above embodiments can be described as, but not limited to, the following supplementary notes. (Appendix 1) A member data acquisition unit and a member data conversion unit are included, the member data acquisition unit acquires member data regarding each member in the group; the member data conversion unit converts the acquired member data into a member evaluation score for each evaluation item in accordance with a predetermined rule for each member; Member evaluation support device. (Appendix 2) Further, the score storage unit and the score output unit are included, the score accumulation unit accumulates the member evaluation score for each member and for each evaluation item, The score output unit outputs the member evaluation score for each member and for each evaluation item. Appendix 1: Member evaluation support device. (Appendix 3) Further, an image generating unit is included, the image generation unit generates an evaluation score image for each of the members based on the member evaluation score, the score output unit outputs the evaluation score image. 3. The member data conversion device according to claim 2. (Appendix 4) The member data includes work experience data for each of the members, the member data conversion unit converts the work experience data into a work experience cumulative score for each of the members; the score accumulation unit accumulates the work experience cumulative score for each of the members; the score output unit outputs the member evaluation score and the work experience cumulative score for each of the members. 4. The member evaluation support device according to claim 2 or 3. (Appendix 5) Furthermore, it includes a recommendation section, the recommendation unit generates career design recommendation information for each of the members based on the member evaluation score; The score output unit outputs the career design recommendation information. 5. A member evaluation support device according to any one of appendices 2 to 4. (Appendix 6) A member data acquisition step and a member data conversion step are included, the member data acquisition step acquires member data regarding each member in the group; The member data conversion step converts the acquired member data into a member evaluation score for each evaluation item according to a predetermined rule for each member. Member evaluation support methods. (Appendix 7) Further, the method includes a score accumulation step and a score output step, The score accumulation step accumulates the member evaluation scores for each of the members and for each of the evaluation items, The score output step outputs the member evaluation score for each member and for each evaluation item. Appendix 6: Member evaluation support methods. (Appendix 8) Further, an image generating step is included, the image generating step generates an evaluation score image for each of the members based on the member evaluation score, The score output step outputs the evaluation score image. A member data conversion method as described in Appendix 7. (Appendix 9) The member data includes work experience data for each of the members, The member data conversion step converts the work experience data into a work experience cumulative score for each of the members, The score accumulation step accumulates the work experience cumulative score for each of the members, The score output step outputs the member evaluation score and the work experience cumulative score for each of the members. A member evaluation support method as described in Appendix 7 or 8. (Appendix 10) Furthermore, it includes a recommendation process, The recommendation step generates career design recommendation information for each of the members based on the member evaluation scores, The score output step outputs the career design recommendation information. A member evaluation support method according to any one of appendices 7 to 9. (Appendix 11) A program for causing a computer to execute a member data acquisition procedure and a member data conversion procedure, the member data acquisition step acquires member data regarding each member in the group; The member data conversion step converts the acquired member data into a member evaluation score for each evaluation item according to a predetermined rule for each member. program. (Appendix 12) Further, a score accumulation procedure and a score output procedure are included, The score accumulation step accumulates the member evaluation scores for each of the members and for each of the evaluation items; the score output step includes outputting the member evaluation score for each member and for each evaluation item. Program in Appendix 11. (Appendix 13) Further, an image generation step is included, the image generation step generates an evaluation score image for each of the members based on the member evaluation score; the score output step outputs the evaluation score image. The program described in Appendix 12. (Appendix 14) The member data includes work experience data for each of the members, The member data conversion step converts the work experience data into a work experience cumulative score for each of the members; The score accumulation step accumulates the work experience cumulative score for each of the members; the score output step outputs the member evaluation score and the work experience cumulative score for each of the members. 14. The program according to claim 12 or 13. (Appendix 15) Furthermore, it includes a recommendation procedure, The recommendation step generates career design recommendation information for each of the members based on the member evaluation scores; The score output step outputs the career design recommendation information. 15. The program of any one of appendices 12 to 14. (Appendix 16) A computer-readable recording medium having recorded thereon a program according to any one of appendices 11 to 15. [Industrial Applicability]

[0072] According to the present invention, the member data conversion unit can convert the evaluation criteria information contained in the member data for each member in a group acquired by the member data acquisition unit into a member evaluation score according to preset rules. Therefore, the member evaluation support device of this embodiment makes it possible, for example, to evaluate members based on member data without disclosing the member data. Therefore, the member evaluation support device of the present invention can support member evaluation using member data while reducing the risk of confidential information leaking. Therefore, the present invention is particularly useful in the field of group management. [Explanation of symbols]

[0073] 10, 10A, 10B, 10C Member evaluation support device 11 Member Data Acquisition Department 12 Member Data Conversion Department 13 Score storage unit 14 Score output section 15 Image generation unit 16 Recommendation Section 101 CPU 102 memory 103 Bus 104 Storage device 105 Programs 106 Input Device 107 Display device 108 Communication Devices

Claims

1. A member data acquisition unit and a member data conversion unit are included, the member data acquisition unit acquires member data including confidential information of the group for each member of the group; the member data conversion unit converts the acquired member data for each member in accordance with a predetermined rule into a member evaluation score for each evaluation item related to evaluation in the group, the member evaluation score representing the degree of the evaluation item and not including confidential information of the group; Member evaluation support device.

2. Further, the score storage unit and the score output unit are included, the score accumulation unit accumulates the member evaluation score for each member and for each evaluation item, The score output unit outputs the member evaluation score for each member and for each evaluation item.

2. The member evaluation support device according to claim 1.

3. Further, an image generating unit is included, the image generation unit generates an evaluation score image for each of the members based on the member evaluation score, the score output unit outputs the evaluation score image.

3. The member data conversion device according to claim 2.

4. The member data includes work experience data for each of the members, including confidential information of the group; the member data conversion unit converts the work experience data into a work experience cumulative score for each of the members, the cumulative score not including confidential information of the group; the score accumulation unit accumulates the work experience cumulative score for each of the members; the score output unit outputs the member evaluation score and the work experience cumulative score for each of the members.

4. The member evaluation support device according to claim 2 or 3.

5. Furthermore, it includes a recommendation section, the recommendation unit generates career design recommendation information for each of the members based on the member evaluation score; The score output unit outputs the career design recommendation information. The member evaluation support device according to any one of claims 2 to 4.

6. A member data acquisition step and a member data conversion step are included, the member data acquisition step acquires member data including confidential information of the group for each member of the group; The member data conversion step converts the acquired member data for each member in accordance with a predetermined rule into a member evaluation score for each evaluation item related to evaluation in the group, the member evaluation score representing the degree of the evaluation item and not including confidential information of the group. A member evaluation support method in which each step is executed by a computer.

7. Further, the method includes a score accumulation step and a score output step, The score accumulation step accumulates the member evaluation scores for each of the members and for each of the evaluation items, The score output step outputs the member evaluation score for each member and for each evaluation item. The member evaluation support method according to claim 6.

8. Further, an image generating step is included, the image generating step generates an evaluation score image for each of the members based on the member evaluation score, The score output step outputs the evaluation score image.

8. The member data conversion method according to claim 7.

9. A program for causing a computer to execute a member data acquisition procedure and a member data conversion procedure, the member data acquisition step acquires member data including confidential information of the group for each member in the group; The member data conversion procedure converts the acquired member data for each member in accordance with a predetermined rule into a member evaluation score for each evaluation item related to evaluation in the group, the member evaluation score representing the degree of the evaluation item and not including confidential information of the group. program.

10. A computer-readable recording medium on which the program according to claim 9 is recorded.

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