JP7765038B2 - Member evaluation support device, member evaluation support method, program, and recording medium - Google Patents

Description

The present invention relates to a member evaluation support device, a member evaluation support method, a program, and a recording medium.

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.

Special Publication No. 2021-516811

However, when data is anonymized as with the technology in Patent Document 1, information that identifies individuals is deleted, which poses a problem: the data cannot be used to evaluate or advise individuals. Furthermore, even if personal information is anonymized, if the data contains confidential information such as trade secrets, there is a risk of confidential information being leaked, which is problematic.

The present invention therefore aims to provide a member evaluation support device that can support the evaluation of group members using their data while reducing the risk of confidential information leaking.

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.

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.

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.

This invention can support the evaluation of members using their data while reducing the risk of confidential information leaking.

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

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 such groups 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 such members include employees, staff, teachers, students, union members, members, medical professionals, athletes, and service users.

Next, embodiments of the present invention will be described using the drawings. The present invention is not limited to the following embodiments. In each of the following drawings, identical parts are designated by the same reference numerals. Furthermore, unless otherwise specified, the descriptions of each embodiment can be used interchangeably, and the configurations of each embodiment can be combined unless otherwise specified.

[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. 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. Although not shown, the device 10 may also include a storage unit.

The device 10 may be, for example, a single device including each of the above-mentioned components, or a device in which each of the above-mentioned components can be connected via a communication network. The device 10 can also be connected to external devices (described later) via a communication network. The communication network is not particularly limited, and any known network can be used, and may be wired or wireless. Examples of communication networks include the Internet, the World Wide Web (WWW), telephone lines, LANs (Local Area Networks), SANs (Storage Area Networks), DTNs (Delay Tolerant Networking), LPWAs (Low Power Wide Area Networks), and L5Gs (Local 5G). Examples of wireless communication include Wi-Fi (registered trademark), Bluetooth (registered trademark), local 5G, and LPWA. The wireless communication may be in the form of direct communication between devices (ad hoc communication), infrastructure communication, or indirect communication via an access point. The device 10 may be incorporated into a server as a system. The device 10 may also be, for example, a personal computer (PC, e.g., desktop or laptop) on which the program of the present invention is installed, a smartphone, a tablet terminal, or the like. Furthermore, the device 10 may be in the form of cloud computing or edge computing, in which at least one of the components is located on a server and the other components are located on a terminal.

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

The CPU 101 operates in conjunction 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 is equipped with a CPU as a computing device, but may also be equipped with other computing devices such as a GPU (Graphics Processing Unit) or APU (Accelerated Processing Unit), or may be equipped with a combination of the CPU and these.

The bus 103 can also be connected to external devices, for example. Examples of such external devices include external storage devices (external databases, etc.), printers, external input devices, external display devices, and external imaging devices. The device 10 can be connected to an external network (the communication line network) via a communication device 108 connected to the bus 103, and can also be connected to other devices via the external network.

The memory 102 may be, for example, a main memory (primary storage device). When the CPU 101 performs processing, the memory 102 reads various operating programs, such as the program 105 of the present invention, stored in the storage device 104 (described below), and the CPU 101 receives data from the memory 102 and executes the programs. 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).

The storage device 104 is also referred to as an auxiliary storage device, in contrast to the main memory (primary storage device). As mentioned 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 that reads and writes from and to the recording medium. The recording medium is not particularly limited and may be internal or external, and examples include HD (hard disk), CD-ROM, CD-R, CD-RW, MO, DVD, flash memory, and memory card. The storage device 104 may be, for example, a hard disk drive (HDD) or solid state drive (SSD) that integrates the recording medium and drive. If the device 10 includes, for example, the storage unit, the storage device 104 functions as the storage unit.

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

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, trackpad, or mouse; a keyboard; imaging means such as a camera or scanner; a card reader such as an IC card reader or magnetic card reader; and audio input means such as a microphone. Examples of the display 107 include display devices such as an LED display or LCD 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 unit, such as a touch panel display.

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, for example, as follows using the member evaluation support device 10 shown in Figures 1 and 2. Note that the member evaluation support method of this embodiment is not limited to use with the member evaluation support device 10 of Figures 1 and 2. Note 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".

First, the member data acquisition unit 11 acquires member data for each member in the group (S1, member data acquisition process). 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 regarding the member's abilities, 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 acquisition 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 internal 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, or once a year, or may be acquired every time data from the system from which the member data is acquired is updated, or may be acquired every time member data is entered 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, or may be stored in a storage unit such as the memory 102 or storage device 104.

Specific examples of the evaluation criteria information will be described using 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 examples below. Specific examples of the evaluation criteria information include personnel evaluation data and work history data of employees at the company, and specific examples include attendance information, personnel evaluations, qualification information, work experience, award history, and recommended behavior information. The recommended behavior information is, for example, information on behaviors, attitudes, and behaviors that are factors (i.e., recommended) that improve the abilities, experience, and skills of members when quantifying (evaluating) their abilities, experience, and skills.

The member data may include, for example, other information such as member attribute information and member activity data. The attribute information may include, for example, gender, age, and position within the group (e.g., department, position, rank, occupational area, qualifications held, years of experience, etc.). The member activity data may include, for example, information such as health checkup results, participation in CSR activities, and participation in volunteer activities.

Next, the member data conversion unit 12 converts the acquired member data into a member evaluation score for each evaluation item according to predetermined rules (hereinafter also referred to as "conversion rules") for each member (S2, member data conversion process). 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 for the evaluation items corresponding to the extracted evaluation criteria information according to the rules 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.

The conversion rule is, for example, information linking the evaluation criteria information included in the member information, evaluation items, and the level (score) of the evaluation items. In the conversion rule, the combination of evaluation items and the level (score) 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 evaluation items may, for example, be such that one evaluation item corresponds to one piece of evaluation criteria information, or such that two or more evaluation items correspond to one piece of evaluation criteria information. In the latter case, for example, the same score may be linked to each of the multiple evaluation items, or different scores may be linked to each of the multiple evaluation items.

The evaluation items are, for example, items related to the evaluation of the group of members, and may be one type or two or more types. The evaluation items may also be referred to as basic parameters, for example. The evaluation items are not particularly limited and can be set appropriately depending on the evaluation policy for the group's members, but it is preferable that they include items related to human resource development. Specific examples of the evaluation items include: acquiring necessary knowledge and skills (learning); working beyond company boundaries (crossing); 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); applying existing knowledge and skills to new situations (transfer); acting calmly even when problems arise (persevering); developing skills through manual effort (tinkering); influencing and leading those around you (leading). The evaluation items can also be rephrased as basic parameters of each member.

The processing by the member data conversion unit 12 will be explained using a specific example. First, Table 1 below 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.

The member data conversion unit 12 extracts the member evaluation criteria information from the member data acquired in S1, for example. Then, if the member's qualification acquisition information (language qualification acquired), for example, 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.

In the member evaluation support method of this embodiment, steps S1 and S2 are executed sequentially, 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.

With the member evaluation support device of this embodiment, 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 in accordance with 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 evaluations using member data while reducing the risk of confidential information leaks. Furthermore, because 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 to objectively confirm their own growth by checking their own evaluation scores, which can, for example, increase the members' motivation to participate in group activities. The member evaluation support device of the present invention can also be used by group managers to objectively evaluate the abilities of members.

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

The member evaluation support device of this embodiment is similar to the member evaluation support device 10 of embodiment 1, 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 embodiment 1, 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, where 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.

Figure 4 is a block diagram showing an example configuration of a member evaluation support device 10A of this embodiment. As shown in Figure 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 Figure 2, except that the CPU 101 includes the configuration of the member evaluation support device 10A of Figure 4 instead of the configuration of the member evaluation support device 10 of Figure 1.

Next, the member evaluation support method of this embodiment will be explained using the flowchart in Figure 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 Figure 4. Note that the member evaluation support method of the present invention is not limited to use with the member evaluation support device 10A.

First, steps S1 and S2 are carried out in the same manner as steps S1 and S2 in the member evaluation support method of embodiment 1.

Next, the score accumulation unit 13 accumulates the member evaluation score for each member and for each evaluation item (S3, score accumulation process). The score accumulation unit can accumulate the member evaluation score for each member and for each evaluation item, for example, by linking and storing the member identification information with the member evaluation score for each evaluation item. 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 them to an external database or server outside the device via a communications network and storing them in the external database or server.

Then, the score output unit 14 outputs the member evaluation score for each member and for each evaluation item (S4, score output process). 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 held by the 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 held by each member.

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.

The work experience data is, for example, information about 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 (e.g., Linux (registered trademark) or Windows (registered trademark) development experience), database experience, etc.

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 piece of work experience included in the work experience data, a work experience item is linked to 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 can then add the linked 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 convert 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 experience data indirectly related to the task may be linked to the work experience score for each work experience item in advance.

The score accumulation unit 13 accumulates the work experience cumulative score for each member, for example, in the same manner as in S3 above, 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 above. In this way, when the member data includes work experience data, it is possible to evaluate the member's evaluation from multiple perspectives, including the member evaluation score and the work experience cumulative score, allowing for a more detailed evaluation of the member's abilities.

In the member evaluation support method of this embodiment, steps S1 to S4 are executed sequentially, 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.

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 to more intuitively understand their own evaluations, which can, for example, increase members' motivation to participate in group activities. As described above, the member evaluation scores of this embodiment are information obtained by converting the evaluation criteria information contained in member data, and therefore do not include, for example, confidential information about the group contained in the member data. Therefore, even if a member takes the member evaluation scores output by this embodiment outside the group, the leakage of confidential information can be prevented. This allows each member, for example, when leaving the group they currently belong to, to present their member evaluation score to the next group they will belong to as information indicating their own evaluation and abilities. Therefore, according to the present invention, it is possible, for example, to increase the mobility of human resources.

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

The member evaluation support device of this embodiment is similar to the member evaluation support device 10A of embodiment 2, except that it includes an image generation 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 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.

Figure 6 is a block diagram showing an example configuration of a member evaluation support device 10B of this embodiment. As shown in Figure 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 Figure 2, except that the CPU 101 includes the configuration of the member evaluation support device 10B of Figure 6 instead of the configuration of the member evaluation support device 10 of Figure 1.

Next, the member evaluation support method of this embodiment will be explained using the flowchart in Figure 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 Figure 6. Note that the member evaluation support method of the present invention is not limited to use with the member evaluation support device 10B.

First, steps S1 to S3 are carried out in the same manner as steps S1 to S3 in the member evaluation support method of embodiment 2.

Next, the image generation unit 15 generates an evaluation score image for each member based on the member evaluation score (S5, image generation process). The image generation unit 15 may generate the 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 the evaluation score image in real time based on the member evaluation score. The evaluation score image is not particularly limited, and may be any image that represents 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 preferred from the perspective 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 for each evaluation item based on the member evaluation score associated with the member identification information. Furthermore, in addition to the graph based on the member evaluation score of each member, the image generation unit 15 may also generate, for example, a graph based on the average member evaluation score of each member in the group, a graph based on the maximum member evaluation score of each member, etc. in the graph image.

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 the processing of the image generation unit 15 will be described using Figure 9. Figure 9(A) is an image showing a specific example of an avatar (character image information) set by the image generation unit 15, and Figures 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, by linking it to the member identification information. The avatar can be, for example, image information such as character image 141 as shown in Figure 9(A). For example, in the initial stage, the image generation unit 15 displays character image 141 as the avatar, as shown in Figure 9(B). For example, when the member's member evaluation score changes, the image generation unit 15 changes the image of 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. 9C and 9D . For example, as shown in FIG. 9C , the image generation unit 15 may represent a change in the avatar by superimposing score image information 142 linked to the member evaluation score on a character image 141 and displaying the character as if wearing an item, or by displaying score image information 142 around the character image 141, as shown in FIG. 9D . The score image information 142 may be, for example, image information of items linked to the score level for each evaluation item. Specific examples of the item image information include image information of avatar accessories such as clothes, hats, coats, and tools worn by the avatar. For example, the item image information may be associated with image information of simple accessories when the member evaluation score is relatively low, and associated with image information of luxurious accessories when the score is relatively high. Furthermore, for example, acquisition information for a specific qualification may be linked to image information for the item. In this case, the image generation unit 15 may change the avatar of a member who has acquisition information for a specific qualification as the member information, so that the avatar displays an item image linked to the qualification information.

Then, the score output unit 14 outputs the evaluation score image (S6, score output process). The output of the evaluation score image by the score output unit 14 can be, for example, similar to the output of the member evaluation score in S4. The score output unit 14 may also, 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's terminal (also referred to as the member terminal) via a communication unit of the member's terminal, and displayed on the display unit of the member terminal.

In the member evaluation support method of this embodiment, steps S1 to S3 and S5 to S6 are executed sequentially, 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.

The member evaluation support device 10B of this embodiment can, for example, generate an evaluation score image based on the converted member evaluation score using the image generation unit 15. Therefore, with the member evaluation support device of this embodiment, it becomes possible, for example, to more intuitively understand the member evaluation.

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

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 the score output unit 14 outputs the career design recommendation information.

Figure 10 is a block diagram showing an example configuration of a member evaluation support device 10C of this embodiment. As shown in Figure 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 Figure 2, except that the CPU 101 includes the configuration of the member evaluation support device 10C of Figure 10 instead of the configuration of the member evaluation support device 10 of Figure 1.

Next, the member evaluation support method of this embodiment will be described using the flowchart in Figure 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 Figure 10. Note that the member evaluation support method of the present invention is not limited to use with the member evaluation support device 10C.

First, steps S1 to S3 are carried out in the same manner as steps S1 to S3 in the member evaluation support method of embodiment 2.

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 references the career path standard information and compares the member evaluation score for each member with the score for each evaluation item linked to an arbitrary career. This allows the recommendation unit 16 to calculate the difference between the member evaluation score for the member and the evaluation item score linked to the career. Based on this difference, the recommendation unit 16 can then 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."

Then, the score output unit 14 outputs the career design recommendation information (S8, score output process). 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, for example, output the member evaluation score in S4 together with the career design recommendation information.

In the member evaluation support method of this embodiment, steps S1 to S3 and S7 to S8 are executed sequentially, 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.

The member evaluation support device 10C of this embodiment can use the recommendation unit 16 to generate career design recommendation information for each member based on the current member evaluation score. This allows, for example, members to clarify their position in the group and the skills they need to acquire in the future, thereby increasing their motivation for personal growth.

[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.

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.

The program of this embodiment can also be described as a program that causes a computer to function as a member data acquisition procedure and a member data conversion method.

The program of this embodiment can use the descriptions in the member evaluation support device and member evaluation support method of the present invention. For each of the steps, for example, "step" can be read as "processing." The program of this embodiment may also 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 include random access memory (RAM), read-only memory (ROM), hard disk (HD), optical disk, and floppy disk (FD).

The present invention has been described above with reference to the embodiments, but the present invention is not limited to the above embodiments. Various modifications that would 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.

<Additional Notes>
Some or all of the above embodiments can be described as, but are 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 according to 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.
2. The member evaluation support device of claim 1.
(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 method.
(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.
8. The member data conversion method according to claim 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.
9. A member evaluation support method according to claim 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.
Appendix 11 program.
(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.
13. The program according to claim 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 includes outputting the career design recommendation information.
15. The program according to any one of appendices 12 to 14.
(Appendix 16)
A computer-readable recording medium having recorded thereon the program according to any one of appendices 11 to 15.

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 in accordance with 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 the evaluation of members using member data while reducing the risk of confidential information leaking. Therefore, the present invention is particularly useful in the field of group management.

10, 10A, 10B, 10C Member evaluation support device 11 Member data acquisition unit 12 Member data conversion unit 13 Score accumulation unit 14 Score output unit 15 Image generation unit 16 Recommendation unit 101 CPU
102 Memory 103 Bus 104 Storage device 105 Program 106 Input device 107 Display device 108 Communication device

Claims (10)

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. 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. 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. 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. 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. 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 . 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. 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. 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. A computer-readable recording medium having the program described in claim 9 recorded thereon.