Human resource database generation device, human resource database generation method, program, and recording medium
The talent database generation device manages personnel experiences by classifying roles and skills, enhancing human resource management and search capabilities.
Patent Information
- Application Number
- JP2024047014
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-03-22
- Publication Date
- 2025-10-03
AI Technical Summary
Existing skill management systems fail to manage personnel experiences comprehensively, considering roles and specializations.
A talent database generation device and method that acquires and classifies information on roles, expertise, and skills to generate a talent database, allowing for diverse experience management.
Enables comprehensive management of human resources based on diverse experiences, facilitating accurate personnel search and assignment.
Smart Images

Figure 2025146313000001_ABST
Abstract
Description
[Technical Field]
[0001] The present disclosure relates to a talent database generation device, a talent database generation method, a program, and a recording medium. [Background technology]
[0002] Patent document 1 discloses a skill management system that comprises an employee information database that stores employee information, a skill database that associates technical items identified by technical category and technical identification information with technical levels and stores them for each employee, a technical level extraction means that extracts the technical level of a specified individual from the skill database, and an individual skill visualization means that visualizes the technical level based on the extracted technical level. [Prior art documents] [Patent documents]
[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2007-241673 Summary of the Invention [Problem to be solved by the invention]
[0004] The system disclosed in Patent Document 1 only manages the skill information of personnel, and is unable to manage the experience from multiple angles, taking into account the roles and specializations of personnel.
[0005] Therefore, an object of the present disclosure is to provide a talent database generation device, a talent database generation method, a program, and a recording medium for managing talent in an organization based on diverse experiences. [Means for solving the problem]
[0006] In order to achieve the above object, the human resource database generation device of the present disclosure includes: A target person information acquisition unit and a human resources database generation unit are included, The subject information acquisition unit acquires information regarding the subject's role, expertise, and skills, The talent database generation unit generates a talent database based on the information.
[0007] The human resource database generation method of the present disclosure includes: The method includes a target person information acquisition step and a human resources database generation step, The subject information acquisition step acquires information about the subject's role, expertise, and skills, the talent database generation step generates a talent database based on the information; Each of the steps is a computer-implemented method.
[0008] The program of the present disclosure is a program for causing a computer to execute each step of the method of the present disclosure as a procedure.
[0009] The recording medium of the present disclosure is a computer-readable recording medium on which the program of the present disclosure is recorded. [Effects of the Invention]
[0010] According to the present disclosure, it is possible to manage human resources in an organization based on diverse experiences. [Brief explanation of the drawings]
[0011] [Figure 1] FIG. 1 is a block diagram showing a configuration of an example of a talent database generation device according to the present disclosure. [Figure 2] FIG. 2 is a block diagram showing an example of a hardware configuration of the talent database generation device of the present disclosure. [Figure 3] FIG. 3 is a flowchart showing an example of processing in the talent database generation device of the present disclosure. [Figure 4] FIG. 4 is a diagram showing an example of roles, specialties, and skills in the human resource database generation device of the present disclosure. [Figure 5]FIG. 5 is a diagram illustrating an example of a talent database generated by the talent database generation device of the present disclosure. [Figure 6] FIG. 6 is a schematic diagram showing the hierarchical structure of master data in the talent database of the talent database generating device of the present disclosure. [Figure 7] FIG. 7 is a schematic diagram showing the relationship between master data and transactions. DETAILED DESCRIPTION OF THE INVENTION
[0012] The present disclosure will be described. Note that the present disclosure is not limited to the following embodiments. Note that in the following drawings, the same parts are denoted by the same reference numerals. Furthermore, the descriptions of the embodiments can be used interchangeably unless otherwise specified. Furthermore, the configurations of the embodiments can be combined unless otherwise specified.
[0013] [Embodiment 1] An example of a talent database generation device and a talent database generation method according to the present disclosure will be described.
[0014] As shown in FIG. 1, a talent database generation device 10 (hereinafter also referred to as “the device 10”) includes a talent information acquisition unit 11 and a talent database generation unit 12.
[0015] 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, a wired or wireless network. Examples of the communication network 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 the 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. Furthermore, the present device 10 may be, for example, a personal computer (PC, for example, desktop or notebook type) on which the program of the present disclosure is installed, a smartphone, a tablet terminal, etc. The present device 10 may be in the form of cloud computing or edge computing, for example, in which at least one of the above-mentioned units is located on a server and the other units are located on a terminal.
[0016] 2 shows a block diagram of the hardware configuration of the device 10. The device 10 includes, for example, a central processing unit (CPU, GPU, etc.) 101, a memory 102, a bus 103, a storage device 104, an input device 105, an output device 106, and a communication device 107. The components of the device 10 are connected to each other via the bus 103 and their respective interfaces (I / F).
[0017] The central processing unit 101 operates in cooperation with other components via a controller (such as a system controller or an I / O controller) and is responsible for overall control of the device 10. In the device 10, the central processing unit 101 executes, for example, the program of the present disclosure and other programs, and also reads and writes various types of information. Specifically, for example, the central processing unit 101 functions as a human resources information acquisition unit 11 and a human resources database generation unit 12. The central processing unit 101 may include, as a computing device, a CPU, a GPU (Graphics Processing Unit), an APU (Accelerated Processing Unit), or a combination of these.
[0018] The bus 103 can also be connected to, for example, an external device. Examples of the external device include an external storage device such as an external database, a printer, an external input device, an external display device, an external imaging device, etc. The device 10 can be connected to an external network (the communication line network) by, for example, a communication device 107 connected to the bus 103, and can also be connected to other devices via the external network.
[0019] The memory 102 may be, for example, a main memory (primary storage device). When the central processing unit 101 performs processing, the memory 102 reads various operating programs, such as the program of the present disclosure, stored in the storage device 104 (described later), and the central processing unit 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).
[0020] 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 including the program of the present disclosure. 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, 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.
[0021] 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. In this case, the memory 102 and the storage device 104 may store (record) information including, for example, the role, expertise, and skills of the target, which will be described later. 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.
[0022] The device 10 further includes, for example, an input device 105 and an output device 106. Examples of the input device 105 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 output device 106 include display devices such as an LED display and a liquid crystal display; audio output devices such as a speaker; a printer; and the like. In the present disclosure, the input device 105 and the output device 106 are configured separately, but the input device 105 and the output device 106 may also be configured as an integrated device, such as a touch panel display.
[0023] Next, an example of the talent database generation method of the present disclosure will be described with reference to the flowchart of Fig. 3. The talent database generation method of the present disclosure is implemented as follows, for example, using the device 10 of Fig. 1. Note that the talent database generation method of the present disclosure is not limited to use of the device 10 of Fig. 1.
[0024] First, the human resource information acquisition unit 11 of the device 10 acquires information including the target's role, expertise, and skills (S11, human resource information acquisition step). The human resource information acquisition unit 11 may further include information regarding areas related to human resource management. The area may be a specific area for considering organizational strategies, such as a theme, business, or type of human resource. The area may be determined within a certain organization. The role may be, for example, a role-based definition of tasks required in a specific area. The role may be, for example, a role assigned to a target within an organization. The role may further include, for example, classification information for the role and level information for the role. The classification information may be, for example, information related to the name of a role assigned within a certain organization. The level information may include, for example, the level of ability for the role. In other words, even if the same role is assigned to the target, a corresponding level (e.g., job level) may be assigned based on differences in ability, etc. Furthermore, the expertise may be, for example, the expertise required to fulfill the role. The skills may be, for example, skills and experiences possessed by the subject that support the skills. The expertise and skills may be determined, for example, by a questionnaire or the like of the subject.
[0025] Next, the talent database generation unit 12 of the device 10 generates a talent database based on the information (S12, talent database generation step). The talent database includes, for example, master data classified by the role, the expertise, and the skills. The master data is, for example, master data classified into multiple hierarchies. By classifying the master data into multiple hierarchies, more accurate search results can be obtained, for example, when searching a talent database in a search device or the like. The search is, for example, a know-who search. Here, know-who refers to a mechanism for searching human resource information data within an organization. The talent database may include, for example, transaction data generated based on the master data.
[0026] In the talent database generation method of the present disclosure, the case where steps S11 to S12 are executed sequentially has been described as an example, but the present disclosure is not limited to this. In the present disclosure, steps S11 to S12 may be executed simultaneously or separately. In the latter case, the order of execution is not particularly limited and is arbitrary.
[0027] As described above, the device 10 can manage personnel in an organization based on their diverse experiences. Therefore, the device 10 can manage the diverse experiences of personnel in terms of roles and expertise, rather than relying solely on the management of skill information. Furthermore, the device 10 can be used to appropriately search for personnel and assign them to projects, for example.
[0028] [Embodiment 2] Next, an example of a talent database generation method using the talent database generation device of the present disclosure will be described with reference to Figures 4 to 7. Note that Figures 4 to 7 show an example of a talent database generation method using the talent database generation device 10 of the present disclosure, but the present disclosure is not limited to this.
[0029] The human resource information acquisition unit 11 of the device 10 acquires information including the target's role, expertise, and skills. FIG. 4 shows an example of the role, expertise, and skills. Note that FIG. 4 is merely an example and is not limiting. The human resource information acquisition unit 11 may further include information regarding areas related to the generation of a human resource database.
[0030] Next, the talent database generation unit 12 of the device 10 generates a talent database based on the information. FIG. 5 shows an example of the generated talent database. FIG. 5 includes master data classified by the role, the expertise, and the skills. The master data may also be classified into multiple hierarchies, as shown in FIG. 5. FIG. 6 shows a schematic diagram of the hierarchical structure of the master data. As shown in FIG. 6, the classification information for the role is expressed, for example, as "category" and "subcategory," and the level information for the role (e.g., job level) is expressed, for example, as "talent label." A database is generated based on these, and an ID is assigned to each category (Category 1 and Subcategory 1) and registered in the "Talent Label Category Master" as shown in FIG. 6. In addition, in the category master, the ID of the parent category may be registered as master information so that the parent category can be identified, as shown in FIG. 6. If there is no parent category (i.e., if the category is the parent category), "NULL" or the like may be registered. As shown in Figure 6, in the "talent label master", the IDs related to the levels in the roles are registered as information including the category IDs included in the "talent label category master". In this way, the master data can be classified into multiple hierarchies.
[0031] Next, Fig. 7 is a schematic diagram showing the relationship between master data and transactions. As shown in Fig. 7, the human resources database may include transaction data generated based on the master data.
[0032] [Embodiment 3] The program of the present disclosure is a program for causing a computer to execute each step of the present disclosure as a procedure.
[0033] The talent database generation program is a program for causing a computer to execute a talent information acquisition procedure and a talent database generation procedure. The talent database generation program of the present disclosure can also be said to be a program for causing a computer to function as the talent information acquisition procedure and the talent database generation procedure, and the talent database generation program of the present disclosure can cite the descriptions of the talent database generation device and talent database generation method of the present disclosure.
[0034] For example, the "procedure" in each of the steps can be read as a "process." The program of the present disclosure 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), flash memory (e.g., USB flash memory, SD / SDHC card, etc.), optical disk (e.g., CD-R / CD-RW, DVD-R / DVD-RW, BD-R / BD-RE, etc.), magneto-optical disk (MO), and floppy disk (FD). The program of the present disclosure (also referred to as a programming product or program product) may be distributed from an external computer. The "distribution" may be, for example, distribution via a communication network or via a device connected via a wire. The program of the present disclosure may be installed and executed on the device to which it is distributed, or may be executed without being installed.
[0035] Although the present disclosure has been described above with reference to the embodiments, the present disclosure 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 disclosure within the scope of the present disclosure.
[0036] <Additional Notes> Some or all of the above embodiments can be described as, but not limited to, the following supplementary notes. (Appendix 1) A target person information acquisition unit and a human resources database generation unit are included, The subject information acquisition unit acquires information regarding the subject's role, expertise, and skills, the talent database generation unit generates a talent database based on the information; Human resource database generator. (Appendix 2) 2. A human resources database generation device according to claim 1, wherein the human resources database includes master data classified by each of the roles, the expertise, and the skills. (Appendix 3) 3. The human resource database generation device according to claim 2, wherein the master data is master data classified into multiple hierarchies. (Appendix 4) 4. The talent database generating device according to claim 2 or 3, wherein the talent database includes transaction data generated based on the master data. (Appendix 5) The method includes a target person information acquisition step and a human resources database generation step, The subject information acquisition step acquires information about the subject's role, expertise, and skills, the talent database generation step generates a talent database based on the information; A human resources database generation method, wherein each of the steps is executed by a computer. (Appendix 6) A human resources database generation method as described in Appendix 5, wherein the human resources database includes master data classified by each of the role, the expertise, and the skills. (Appendix 7) 7. A human resources database generation method according to claim 6, wherein the master data is master data classified into multiple hierarchies. (Appendix 8) 8. The human resources database generation method according to claim 6 or 7, wherein the human resources database includes transaction data generated based on the master data. (Appendix 9) The procedure includes a procedure for obtaining target information and a procedure for generating a human resources database. The subject information acquisition step acquires information about the subject's role, expertise, and skills; the talent database generation step generates a talent database based on the information. A human resources database generation program for causing a computer to execute each of the above procedures. (Appendix 10) 10. The human resources database generation program of claim 9, wherein the human resources database includes master data classified by each of the roles, the expertise, and the skills. (Appendix 11) The human resources database generation program according to claim 10, wherein the master data is master data classified into multiple hierarchies. (Appendix 12) 12. The human resources database generation program according to claim 10 or 11, wherein the human resources database includes transaction data generated based on the master data. (Appendix 13) The procedure includes a procedure for obtaining target information and a procedure for generating a human resources database. The subject information acquisition step acquires information about the subject's role, expertise, and skills; the talent database generation step generates a talent database based on the information. A computer-readable recording medium that records a program for causing a computer to execute each of the above procedures. (Appendix 14) A storage medium as described in Appendix 13, wherein the human resources database includes master data classified by each of the role, the expertise, and the skills. (Appendix 15) 15. The storage medium according to claim 14, wherein the master data is master data classified into multiple hierarchies. (Appendix 16) 16. A storage medium according to claim 14 or 15, wherein the human resources database includes transaction data generated based on the master data. [Industrial Applicability]
[0037] According to the present disclosure, it is possible to manage human resources in an organization taking into account diverse experiences. The fields to which the present disclosure can be applied are not limited, and the present disclosure can be applied to a wide range of fields using a human resources database generation device. [Explanation of symbols]
[0038] 11 Human Resources Information Acquisition Department 12 Human Resources Database Creation Department 101 Central Processing Unit 102 memory 103 Bus 104 Storage device 105 Input Device 106 Output Device 107 Communication Devices
Claims
1. A target person information acquisition unit and a human resources database generation unit are included, The subject information acquisition unit acquires information regarding the subject's role, expertise, and skills, the talent database generation unit generates a talent database based on the information; Human resource database generator.
2. 2. The talent database generating device according to claim 1, wherein the talent database includes master data classified by each of the roles, the specialties, and the skills.
3. 3. The personnel database generating device according to claim 2, wherein said master data is master data classified into a plurality of hierarchical levels.
4. 4. The talent database generating device according to claim 2, wherein the talent database includes transaction data generated based on the master data.
5. The method includes a target person information acquisition step and a human resources database creation step, The subject information acquisition step acquires information about the subject's role, expertise, and skills, the talent database generation step generates a talent database based on the information; A human resources database generation method, wherein each of the steps is executed by a computer.
6. 6. The human resource database generating method according to claim 5, wherein the human resource database includes master data classified by each of the roles, the specialties, and the skills.
7. 7. The method for generating a human resources database according to claim 6, wherein said master data is master data classified into a plurality of hierarchies.
8. 8. The human resources database generating method according to claim 6, wherein the human resources database includes transaction data generated based on the master data.
9. The procedure includes a procedure for obtaining target information and a procedure for generating a human resources database. The subject information acquisition step acquires information about the subject's role, expertise, and skills; the talent database generation step generates a talent database based on the information. A human resources database generation program for causing a computer to execute each of the above procedures.
10. The procedure includes a procedure for obtaining target information and a procedure for generating a human resources database. The subject information acquisition step acquires information about the subject's role, expertise, and skills; the talent database generation step generates a talent database based on the information. A computer-readable recording medium that records a program for causing a computer to execute each of the above procedures.
Citation Information
Patent Citations
Skill management system, method and program
JP2007241673A