KR101235292B1 - Human resource competence evaluation system and method - Google Patents

Abstract

The present invention relates to a system and method for evaluating a human resource capability, wherein a system for evaluating a human resource capability connected to a network by a terminal device according to the present invention includes a GQM (Goal-Questionaire-Metrics) questionnaire to be transmitted to the terminal device, and the terminal. A reference storing unit for storing response information on the GQM questionnaire received from the device and document information for evaluating human resource capability, a criterion providing unit providing selection criteria for extracting item-specific competency keywords and document competency keywords, and Based on the selection criteria provided by the reference provider, a keyword extraction unit for extracting item competency keywords from the response information for the GQM questionnaire, and document capability keywords from document information that can evaluate human resource competence, and the keyword extraction By using the item-specific competency keywords and document competency keywords extracted from the department By providing a competency assessment unit that assesses human resource capabilities, it is possible to more reasonably assess human resource capabilities, such as the person being assessed or the team being evaluated.

Description

Human resource competence evaluation system and method}

The present invention relates to a system and method for evaluating a human resource capability, and to a system and method for evaluating a human resource capability providing a selection criterion for extracting keywords for competency evaluation.

A small number of companies implement and manage competency model programs that are best suited for their company on servers within the company in order to perform effective tasks and achieve strategic goals in the organization. This competency model program evaluates competency based on response information such as those who are evaluated according to a GQM (Goal-Questionaire-Metrics) questionnaire (see Patent Documents 1 and 2).

On the other hand, in the above-described competency model program, since the individual human resources are evaluated and managed only by the questionnaire items of the GQM questionnaire, the capacity of the individual human resources could not be comprehensively evaluated. Accordingly, the present inventors have applied for a description of a content of comprehensively evaluating an individual's human resource capability by extracting keywords related to competency from documents written by an evaluation target as well as a GQM questionnaire (see Patent Document 3).

However, when the present inventors use the invention of Patent Document 3 filed and published to evaluate the capability of human resources, there is a problem of securing reliability for the capability evaluation of human resources because there is no evaluation index for evaluating the capability of human resources.

Patent Document 1: Korean Patent Publication No. 2003-0094749 Patent Document 2: Korea Patent Publication No. 2008-0113452 Patent Document 3: Korea Patent Publication No. 2010-0051516

In order to solve the above-mentioned problem, an object of the present invention is to provide a human resource capability evaluation system and method having a selection criteria for extracting capability keywords for evaluation in evaluating human resource capability.

In addition, an object of the present invention is to provide a system and method for evaluating a human resource capability that can verify whether the response information for competency keywords maintains reliability.

In addition, the present invention provides a human resource capability evaluation system and method capable of automatically generating a selection criterion for selecting evaluation keywords and a reliability test index for verifying reliability of evaluation keywords using extracted competency keywords. The purpose.

It is also an object of the present invention to provide a system and method for evaluating a human resource capability that can provide personalized information and customized advertisements on a regular or real time basis using the evaluated human resource capability.

In addition, the present invention provides a human resource competency evaluation system and method for linking competency levels and work performance, establishing a learning plan to enhance the capacity of human resources in order to achieve work performance, and managing learning according to a schedule. It aims to do it.

In order to achieve the above object, a human resource capability evaluation system networked with a terminal device according to the present invention, a GQM (Goal-Questionaire-Metrics) questionnaire to be transmitted to the terminal device, and a GQM questionnaire received from the terminal device A database that stores response information and document information for evaluating human resource capabilities, a criterion providing unit for providing item-specific competency keywords and selection criteria for extracting document competency keywords, and a selection provided by the criterion providing unit. A keyword extraction unit for extracting item competency keywords from the response information for the GQM questionnaire based on the criteria, and extracting document competency keywords from document information capable of evaluating human resource competencies; Assessing human resource competencies using competency keywords and document competency keywords It provides part-amount estimate.

The document capability keywords extracted by the keyword extracting unit are RSS document capability keywords automatically extracted using RSS (Reality Simple Syndication) from document information capable of evaluating human resource capability and expert document capability keywords extracted by an expert. It may include at least one of them.

The criterion providing unit selects a predetermined ratio in which the response information on the questionnaire item of the GQM questionnaire is equal to or greater than a predetermined score or the score is high so that the keyword extractor extracts the competency keywords for each item from the response information on the GQM questionnaire. In order to automatically extract RSS document competency keywords using the RSS, or as a selection criterion, two or more competency terms are used for each paragraph in the document information for evaluating the competency of the evaluator. Can be.

According to an embodiment of the present invention, in a human resource capability evaluation system networked with a terminal device, response information and human resources for a GQM questionnaire to be transmitted to the terminal device and a GQM questionnaire received from the terminal device are provided. Competency keyword extracting unit for extracting competency keywords from a database storing document information for evaluating competencies, response information for GQM questionnaires, and document information for evaluating human resource competencies, and competencies extracted from the competency keyword extracting unit. An evaluation keyword generation unit for generating evaluation keyword selection criteria using keywords and an evaluation keyword line for selecting evaluation keywords from competency keywords extracted by the competency keyword extraction unit based on evaluation keyword selection criteria provided by the evaluation index generator Selected by the government and the evaluation keyword selection unit. By using the keyword evaluation unit provided for evaluating the ability human capacity, it is possible to achieve the above object.

The evaluation index generator further generates a reliability test index for verifying the evaluation keywords selected by the evaluation keyword selector, and the human resource capability evaluation system uses the evaluation keyword generated using the reliability test index generated by the evaluation index generator. It is preferable to further include a reliability checker for verifying the reliability of the evaluation keywords selected by the selection unit.

The human resource competency evaluation system may further include a competency manager that provides personalized information or customized advertisements required by the evaluator based on the human resource competency evaluated by the competency evaluator.

The human resource competency evaluation system links the competency level based on the human resource competency assessed by the competency evaluation unit with the work performance to establish a learning plan for improving the human resource capability of the subjects and manage the learning according to a schedule. It may further include.

The present invention provides a human resource capability evaluation method including a capability server connected to a terminal device through a network, wherein the response information and the human resource capability of a GQM questionnaire received from the terminal device can be evaluated. Storing the document information in a database, using the selection criteria provided for the item-specific competency keywords and the extraction of the document capability keywords, and providing the selection criteria. Extracting the competency keywords for each item from the response information for the GQM questionnaire stored in the step of storing in the document, extracting the document competency keywords from the document information for evaluating the human resource capability, and extracting the competency keywords Itemized competency keywords and document competency keywords By providing the step of evaluating the human capacity, it is possible to achieve the above object.

The present invention provides a human resource capability evaluation method including a capability server connected to a terminal device through a network, wherein the response information and the human resource capability of a GQM questionnaire received from the terminal device can be evaluated. Storing capability information in a database storing document information, extracting capability keywords from response information for a GQM questionnaire and document information for evaluating human resource capability stored in the database; Competency keywords extracted in the step of generating the evaluation keyword selection criteria using the competency keywords extracted in the extracting step, and extracting the competency keywords based on the evaluation keyword selection criteria provided in the step of generating the evaluation keyword selection criteria To select evaluation keywords from And evaluating the human resource capability using the evaluation keywords selected in the step of selecting the evaluation keywords, thereby achieving the above-described object.

The present invention provides a selection criterion for extracting competency keywords for evaluation in evaluating human resource competencies, so that human resource competencies, such as an evaluation target or an evaluation target team, can be more reasonably and convincingly evaluated.

In addition, the present invention can ensure the uniqueness and consistency of the competency keywords by verifying whether the response information for the competency keywords maintains reliability.

In addition, the present invention automatically generates a selection criteria for selecting evaluation keywords and a reliability test index for verifying reliability of the evaluation keywords by using the extracted competency keywords, thereby selecting the selection criteria and the reliability check according to the extracted competency keywords. The indicators can be different.

In addition, the present invention may provide the information or advertisement required by the evaluator in real time by providing customized information and customized advertisements on a regular or real time basis using the evaluated human resource capability.

In addition, the present invention can improve the human resource capacity for achieving the work performance of the assessment target by linking the competency level and work performance, establishing a learning plan, and managing learning according to the schedule of the established learning plan.

1 is a block diagram of a system for evaluating a human resource capability according to a first embodiment of the present invention.
2 is a diagram showing the relationship between the individual competency and competency keywords according to the present invention.
3 is a view illustrating in detail the keyword extraction unit shown in FIG. 1.
4 is a flowchart illustrating a human resource capability evaluation method according to a first embodiment of the present invention.
5 is a block diagram of a human resource capability evaluation system according to a second embodiment of the present invention.
6 is a view showing an example of the association table between the competency level and the work performance according to the present invention.
7 is a flowchart illustrating a human resource capability assessment method according to a second embodiment of the present invention.

Hereinafter, a human resource capability evaluation system and method according to embodiments of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a block diagram of a human resource capability evaluation system according to a first embodiment of the present invention, and FIG. 2 is a diagram showing a relationship between individual competency and competency keywords according to the present invention.

As shown in FIG. 1, the capability management system 100 includes a client terminal 110, a capability server 120, and a database 180.

The client terminal 110 is a type of personal terminal device and includes an input unit 112 and a display unit 114. The terminal device may include a mobile phone, a smart phone, etc. in addition to the client terminal 110.

The input unit 112 is an interface for the user to respond to the GQM questionnaire displayed on the display unit 114, and includes a keyboard, a mouse, or a touch panel.

The display unit 114 displays the GQM questionnaire provided from the competency server 120, and displays a document or the like that is created when the user creates a document using the input unit 112 to display a character that is input by the user. Make sure to check.

The competency server 120 includes a platform 130, a keyword extractor 140, a reference provider 150, a competency evaluator 160, and a competency manager 170.

The platform unit 130 is for communication with the client terminal 110 and the database 180, and includes an Ajax engine module 132 and a DBMS module 134.

Ajax engine module 132 supports asynchronous services. Therefore, even after the client terminal 110 transmits the user's request through the input unit 112 to the competency server 120, the user can check the contents of the current web browser displayed on the display unit 114. When you receive a response from, you can see the response results in your current web browser without having to switch pages.

The DBMS module 134 is for storage in the database 180 and management of the database 180. The DBMS module 134 is a GQM questionnaire to be provided to the client terminal 110 and the like and response information to the GQM questionnaire transmitted from the client terminal 110 (hereinafter, And a document information (hereinafter, referred to as 'capability evaluation document information') for evaluating the competencies created by the evaluation target and the like, are stored and managed in the database 180. Here, the GQM questionnaire is a questionnaire that allows you to set a goal to create a questionaire and to establish metrics that measure the level of reaching the goal.

The keyword extractor 140 extracts the competency keywords for evaluating the competency of the human resource from the GQM response document and the competency evaluation document information stored in the database 180. 144 and expert keyword extraction module 146.

The item keyword extraction module 142 extracts item-specific competency keywords using questionnaire items and response scores of the GQM response document stored in the database 180. The RSS keyword extraction module 144 extracts RSS capability keywords from the competency evaluation document information stored in the database 180 using RSS. The expert keyword extraction module 146 extracts expert competency keywords from the competency evaluation document information stored in the database 180 using keyword terms prepared by the expert or created by the expert. Meanwhile, since the RSS competency keywords extracted by the RSS keyword extraction module 144 and / or the expert competency keywords extracted by the expert keyword extraction module 146 are keywords extracted from document information, hereinafter, they are referred to as document competency keywords.

The criterion providing unit 150 is to provide a selection criterion for extracting the capability keywords and document capability keywords for each item to the keyword extractor 140. The item keyword criterion providing module 152 and the RSS keyword criterion providing module ( 154 and expert keyword criteria providing module 156.

The item keyword criterion providing module 152 enables the item keyword extraction module 142 to extract item-specific competency keywords from the GQM response, so that the response score for the survey item in the GQM response is above a predetermined score or the score is high. A predetermined ratio is provided as a selection criterion. The RSS keyword criterion providing module 154 provides a case in which two or more competency terms are used for each paragraph in the competency evaluation document information so that the RSS keyword extraction module 144 can automatically extract RSS competency keywords. do. In addition, the expert keyword criterion providing module 156 provides the keyword terms written by the expert as selection criteria so that the expert keyword extracting module 146 extracts the expert competency keywords from the competency evaluation document information.

The competency evaluator 160 evaluates the human resource capability of the evaluator using the competency keyword and the document competency keyword for each item extracted by the keyword extractor 140. The competency evaluation unit 160 may evaluate the human resource capabilities of the subjects of assessment by dividing them into individual competencies, social competencies, and professional domain competencies.

As shown in FIG. 2, individual competences can be divided into creativity, non-cognitive ability, and global competency. Creativity evaluation is classified into successful intelligence and social intelligence, and social intelligence is character, emotion, sincerity, cooperation, and leadership. It is evaluated by dividing by. The competency evaluation unit 160 collects these and evaluates the level of creativity. In addition, the competency evaluation unit 160 may vary the weights of the competency keywords in order to evaluate the goals of competency evaluation, that is, the goal consciousness and execution ability, academic achievement, talent evaluation, and career aptitude.

The competency management unit 170 manages academic achievements, etc. in order to improve the capacity of human resources. Competency management refers to the implementation, implementation and management of learning activity support and reward schemes to increase competences to assess and achieve individual competencies.

The database 180 stores the GQM questionnaire to be provided to the client terminal 110, the GQM response form transmitted from the client terminal 110, document information for evaluating the competencies created by the evaluation target, and the keyword extracting unit 140. The competency keyword extracted from) may be stored. In FIG. 1, the database 180 is separated from the competency server 120, but may be included in the competency server 120.

3 is a view illustrating in detail the keyword extraction unit shown in FIG. 1.

As shown in FIG. 3, the keyword extractor 140 extracts capability keywords using entity data received from the client terminal 110 and metadata structured from the entity data. Metadata supports tagging update of competency keywords by participants, and may be used to support intelligent tagging of competency keywords.

The item keyword extraction module 142 first selects the capability keywords for each entity item of the evaluation subject based on the selection criteria provided by the item keyword criterion providing module 152. For example, the item keyword extraction module 142 selects an item whose check grade is equal to or greater than the average of all respondents among the questionnaire items of the GQM response form 210 which is the entity data, as the entity keyword for each entity item of the evaluation target. In addition, the item keyword extraction module 142 may analyze or supplement the GQM response received periodically or irregularly, and modify or supplement the set of compete keyword for each entity keyword.

On the other hand, the item keyword extraction module 142 can complement the core item-specific competency keywords selected from the entity data using the GQM responder's average score in the response metadata 212 structured in the GQM response. You can select specific competency keywords.

The item keyword extraction module 142 extracts the item-level competency keywords by the union when the selected entity item competency keywords and the object item-specific competency keywords are less than the number of item-specific competency keywords. In, extract the competency keywords of each item by intersection. However, when the number of item-specific competency keywords extracted by the intersection is less than the lowest number capable of evaluating the capacity of human resources, the item keyword extraction module 142 selects the item-specific competency keywords by item. Can be extracted with

The RSS keyword extraction module 144 selects the entity RSS capability keywords of the evaluator based on the selection criteria provided by the RSS keyword criterion providing module 154. For example, the case where two or more competency terms are used for each paragraph in the competency evaluation document information 220 which is the entity data is selected as the entity RSS competency keyword. In addition, the RSS keyword extraction module 144 may correct and standardize keywords by using a rooted word expression technique. In this case, the selection criterion of the root is based on the semantic attribute criterion, the metaset criterion of the root and the attribute criterion of the metaset.

Meanwhile, the RSS keyword extraction module 144 uses the selection criteria such as specifying a search identification code by comments, trackbacks, and tagging indexes from the RSS metadata 224 that structures the competency evaluation document information. Select keywords.

The RSS keyword extraction module 144 extracts item-level competency keywords by union when the combined number of selected entity RSS competency keywords and object RSS competency keywords is less than the number of item-specific competency keywords. Extract competency keywords by item. However, the RSS keyword extraction module 144 extracts the selected object RSS competency keywords as RSS competency keywords when the number of RSS competency keywords extracted by the intersection is less than the lowest number for evaluating the capability of the human resource. Can be.

The expert keyword extraction module 146 selects the entity expert competency keywords of the subject to be evaluated by the selection criteria provided by the expert keyword criterion providing module 156. The expert keyword extraction module 146 identifies the occupation group of the subject to be evaluated and selects the entity expert competency keywords from the competency evaluation document information 220 which is the entity data based on the core competency keywords for each occupation group created by the expert.

On the other hand, the expert keyword extraction module 146 thesaurus the core competency keywords by occupation group created by the expert, and selects the object expert competency keywords from the expert metadata 226 structured competency evaluation document information.

The expert keyword extracting module 146 extracts expert competency keywords by union if the combined number of selected entity expert competency keywords and object expert competency keywords is less than the number of expert competency keywords required, and otherwise, by intersection. Extract expert competency keywords. However, if the number of expert competency keywords extracted by the intersection is less than the lowest number for evaluating the competence of the human resource, the expert keyword extraction module 146 extracts the competency keywords for each expert object as expert competency keywords. Can be.

The competency keyword extraction module 230 may include the item-specific competency keywords extracted by the item keyword extraction module 142, the RSS competency keywords extracted by the RSS keyword extraction module 144, and the expert extracted by the expert keyword extraction module 146. Each of the competency keywords may be weighted.

4 is a flowchart illustrating a human resource capability evaluation method according to a first embodiment of the present invention.

The flowchart of the human resource evaluation method shown in FIG. 4 will be described using a block diagram of the human resource capability evaluation system shown in FIG. 1.

If the user wants to evaluate his or her human resource, the user connects the client terminal 110 to the capability server 120 through a network such as the Internet (S402). Through the input unit 112 of the client terminal 110 connected to the competence server 120, the user inputs the personal information and login information of the evaluation target.

The platform unit 130 determines whether the evaluation target person first logs in to the human resource capability evaluation system or the GQM response is stored in the database 180 (S404).

The platform unit 130 transmits the GQM questionnaire to the client terminal 110 when the evaluation target person first logs in to the human resource capability evaluation system or when the GQM response is not stored in the database 180 (S406). The client terminal 110 displays the GQM questionnaire on the display 114.

The user responds to the questionnaire item of the GQM questionnaire displayed on the display 114 (S408). For example, the user may indicate one of very good, excellent, normal, inferior, and very inferior, or generate response information in the form of a score in response to a questionnaire of the GQM questionnaire.

The client terminal 110 transmits the GQM response to the capability server 120 when the response to the question items of the GQM questionnaire displayed on the display 114 is completed. The platform 130 stores the received GQM response in the database 180 (S410).

When the GQM response is prepared, the platform 130 requests the client terminal 110 for the capability evaluation document information (S412).

The evaluation target person creates a document for evaluating the capability of the evaluation target through the input unit 112 (S414).

When the capability evaluation document is created, the client terminal 110 transmits the capability evaluation document information to the capability server 120. The platform unit 130 stores the received competency evaluation document information in the database 180 (S416).

The reference providing unit 150 provides the keyword extracting unit 140 with selection criteria for extracting the capability keyword and the document capability keyword for each item (S418).

The keyword extractor 140 extracts competency keywords capable of evaluating the capability of the human resource from the GQM response document and the competency evaluation document information stored in the database 180 (S420).

The competency evaluator 160 evaluates the human resource capability of the evaluator using the competency keyword and the document competency keyword for each item extracted by the keyword extractor 140 (S422).

FIG. 5 is a block diagram of a human resource capability evaluation system according to a second embodiment of the present invention, and FIG. 6 is a diagram showing an example of an association table between competency grades and work performances according to the present invention.

As shown in FIG. 5, the human resource capability evaluation system includes a client terminal 110, a capability server 500, and a database 180.

The client terminal 110 is a type of personal terminal device and includes an input unit (not shown) and a display unit (not shown). The terminal device may include a mobile phone, a smart phone, etc. in addition to the client terminal 110.

The database 180 stores a GQM questionnaire to be provided to the client terminal 110, a GQM response form transmitted from the client terminal 110, document information for evaluating a competency created by the evaluation target, and the like. The competency keyword extracted at 520 may be stored.

The competency server 500 includes a platform 510, a competency keyword extractor 520, an evaluation index generator 530, an evaluation keyword selector 540, a reliability checker 550, a competency evaluator 560, and a competency. The management unit 570 is included.

The platform unit 510 may evaluate the GQM questionnaire to be provided to the client terminal 110 and the response information (hereinafter referred to as 'GQM response') and the competencies created by the evaluation target for the GQM questionnaire transmitted from the client terminal 110. Document information and the like can be stored in the database 180 and managed.

The competency keyword extraction unit 520 extracts competency keywords capable of evaluating the competence of the human resource from the GQM response document and the competency evaluation document information stored in the database 180. To this end, the capability keyword extraction unit 520 may include the item keyword extraction module 142, the RSS keyword extraction module 144, and the expert keyword extraction module 146 shown in FIG. 1.

The evaluation index generator 530 generates evaluation indicators by using the competency keywords extracted by the competency keyword extractor 520. Here, the evaluation index refers to the property base of a process, project or product for capacity evaluation.

As described in FIG. 2, a set of competency keywords is divided into entity competency keywords (physically expressed keywords) and object competency keywords (logically expressed keywords). Therefore, the evaluation index of the object is generated from the object capability keywords using metadata, and the evaluation index of the entity is generated from the entity capability keywords.

The selection criteria for this evaluation indicator are uniqueness, simple, simple and clear message transmission, extraction from attributes of the object to be measured, labeling of axes and sizes (weight, time, length), and the evaluation indicators selected by the selection criteria. Used for selection of evaluation keywords, uniqueness check and consistency check.

The evaluation index generator 530 generates the evaluation keyword selection criteria and the reliability test indicators as the evaluation indicators, and generates the evaluation keyword selection criteria and the reliability test indicators to the evaluation keyword selector 540 and the reliability checker 550, respectively. to provide.

The evaluation keyword selector 540 selects evaluation keywords from the competency keywords extracted by the competency keyword extraction unit 520 based on the evaluation keyword selection criteria provided by the evaluation index generator 530.

The reliability checker 550 verifies the reliability of the evaluation keywords selected by the evaluation keyword selector 540 using the reliability check indicators provided by the evaluation index generator 530. To this end, the reliability check unit 550 includes a uniqueness check module 552 and a consistency check module 554.

The uniqueness check module 552 checks uniqueness for the same evaluation keywords and the similar evaluation keywords. The uniqueness test module 552 may include, for example, that response information about the same survey items of the evaluator matches more than a predetermined range, for example, 80% or more, and response information about similar survey items of the evaluator is included. If it is similar in a predetermined range, for example, 50% or more, it is confirmed that there is uniqueness.

The consistency check module 554 checks the consistency of the evaluation keywords selected by the evaluation keyword selection unit 540. The consistency check module 554 selects the same response from among questionnaire items of the evaluation subject to check whether the consistency of the test grade and the like is maintained.

The competency evaluator 560 evaluates the human resource capability of the evaluator using the evaluation keywords selected by the evaluation keyword selector 540. The competency evaluation unit 560 may classify the human resource capabilities of the evaluation target into individual competences, social competencies, and specialized area competencies.

The competency manager 570 includes an advertisement service module 572, a competency rating determination module 574, a job performance linkage module 576, and a competency improvement management module 578 to manage and improve the capability of human resources. . The competency management unit 570 may utilize the human resource capacity evaluated by the competency evaluation unit 560 in all fields such as human capital management (HCM) and human capital development (HCD).

The advertisement service module 572 may provide the personalized information and the customized advertisement necessary for the evaluator in real time while the evaluator works on the client terminal 110 based on the human resource competency evaluated by the competency evaluator 560. . In addition, the advertisement service module 572 may provide the customized information and the customized advertisement necessary for the evaluation target on a regular or occasional basis, based on the human resource capability evaluated by the competency evaluation unit 560. In this case, the provision of the customized information and the customized advertisement is performed by using a matching algorithm among the advertisement banner and the solution list.

The competency rating determination module 574 divides the competency level of the human resource into three to seven levels of grades according to the utilization area, and determines the competency grade based on these levels.

The work performance linkage module 576 is a module that links and manages the competency level determined in the competency rating determination module and work performance. Here, the work performance means sales performance and profit performance, and the like, and the grade of the work performance may be obtained in addition to the present invention or by another work performance system. An example of an association table of competency grades and work performances according to the present invention is shown in FIG. 6. In FIG. 6, the level of correlation between work performance versus competency is divided into three levels, A, B, and C. FIG.

The capability improvement management module 578 may establish a business goal achievement or management strategy using the association table of FIG. 6. For example, the competency improvement management module 578 develops a learning plan for improving the capability of human resources and manages learning according to a schedule in order to achieve the work performance required by the evaluator. The learning plan in the competency improvement management module 578 is established by verifying a learning network executable by the evaluator and creating a profile-based learning process based on the work and experience of the current evaluator.

As described above, the present invention uses the human resource capability as well as the GQM questionnaire, as well as the document information prepared by the evaluation target, so that the human resource of the evaluation target can be accurately evaluated, and thus the capability development and improvement method corresponding to the management of the individual's work performance. Can be planned correctly.

Although the capability server 500 is illustrated as one server in FIG. 5, the components illustrated in FIG. 5 may be separately installed in a plurality of servers.

7 is a flowchart illustrating a human resource capability assessment method according to a second embodiment of the present invention.

The flowchart of the human resource evaluation method shown in FIG. 7 will be described using a block diagram of the human resource capability evaluation system shown in FIG. 5.

The competency keyword extraction unit 520 extracts competency keywords capable of evaluating the competence of the human resource from the GQM response document and the competency evaluation document information stored in the database 180 (S702).

The evaluation index generator 530 generates evaluation indicators based on the competency keywords extracted by the competency keyword extractor 520 (S704). The evaluation index generator 530 provides the generated evaluation keyword selection criteria to the evaluation keyword selection unit, and provides the generated reliability test indicators to the reliability inspection unit 550.

The evaluation keyword selecting unit 540 selects evaluation keywords from the competency keywords based on the evaluation keyword selection criteria provided by the evaluation index generator 530 (S706).

The reliability checker 550 verifies the reliability of the evaluation keywords selected by the evaluation keyword selector 540 based on the reliability check index provided by the evaluation index generator 530 (S708). In order to verify the reliability of the evaluation keywords, the reliability checker 550 checks the uniqueness of the same evaluation keywords and the similar evaluation keywords, and checks the consistency of the response information of the evaluation keywords. If it is determined that the evaluation keywords are not reliable, the reliability checker 550 may provide the client terminal 110 with the GQM questionnaire related to the problematic evaluation keywords through the platform 510.

The competency evaluation unit 560 evaluates the human resource capability of the evaluation target by using the evaluation keywords selected by the evaluation keyword selecting unit 540 (S710).

The advertisement service module 572 may provide the personalized information necessary for the evaluation target and the personalized advertisement based on the human resource capability evaluated by the competency evaluator 160 (S712). In this case, the provision of the customized information and the customized advertisement is performed by using a matching algorithm among the advertisement banner and the solution list.

The competency grade determination module 574 divides the human resource competency evaluated by the competency evaluation unit 560 into grades of 3 to 7 according to the utilization area, and determines the competency grade (S714).

The work performance linkage module 576 links and manages the competency level determined in the competency rating determination module (S716).

The competency improvement management module 578 establishes a learning plan for improving the capability of human resources and manages learning according to a schedule in order to achieve work performance required by the evaluator (S718).

1 to 7 have been described in accordance with the evaluation of the human capacity of the individual, but the present invention can be applied to the evaluation of the capacity of the human resources of the organization as well as the capacity of the individual human resources, and thus the human resources and work performance of the organization It can be used as an organization's management tool by achieving management objectives by linking with them, planning how to improve the capacity development of the human resources of the organization, and linking them with compensation.

The foregoing description is merely illustrative of the technical idea of the present invention, and various changes and modifications may be made by those skilled in the art without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are intended to illustrate rather than limit the scope of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The protection scope of the present invention should be interpreted by the following claims, and all technical ideas within the equivalent scope should be interpreted as being included in the scope of the present invention.

110: client terminal 120: competency server
130: platform unit 140: keyword extraction unit
150: standard provision unit 160: competency evaluation unit
170: competency management unit 180: database
510: platform unit 520: competency keyword extraction unit
530: evaluation index generation unit 540: evaluation keyword selection unit
550: reliability test unit 560: competency evaluation unit
570: Competency Management Department

Claims (10)

In the human resource capability evaluation system connected to the terminal device and the network,
A database for storing a response information and a document information for evaluating a human resource capability for a GQM questionnaire to be transmitted to the terminal device and a GQM questionnaire received from the terminal device;
A criterion providing unit that provides a selection criterion for extracting item-specific competency keywords and document competency keywords;
Based on the selection criteria provided by the reference provider, a keyword extraction unit for extracting the item competency keywords from the response information for the GQM questionnaire and the document competency keywords from the document information that can evaluate the human resource competence, and
And a capability evaluator for evaluating human resource competencies using item-specific competency keywords and document competency keywords extracted by the keyword extractor. The method of claim 1,
The document capability keywords extracted by the keyword extracting unit are RSS document capability keywords automatically extracted using RSS (Reality Simple Syndication) from document information capable of evaluating human resource capability and expert document capability keywords extracted by an expert. Human resource capacity assessment system comprising at least any one of the. The method of claim 2,
The reference providing unit may provide the response information on the questionnaire item of the GQM questionnaire with a predetermined score or more as a selection criterion so that the keyword extractor extracts the competency keywords for each item from the response information on the GQM questionnaire, or provide the RSS. Human resource competencies, which provide a case where two or more competency terms are used for each paragraph in the document information for evaluating the competencies of the subjects to be automatically extracted using the RSS document competency keywords. Evaluation system. In the human resource capability evaluation system connected to the terminal device and the network,
A database for storing a response information and a document information for evaluating a human resource capability for a GQM questionnaire to be transmitted to the terminal device and a GQM questionnaire received from the terminal device;
A competency keyword extraction unit for extracting competency keywords from response information on the GQM questionnaire and document information for evaluating human resource competencies;
An evaluation index generator for generating evaluation keyword selection criteria using the competency keywords extracted by the competency keyword extraction unit;
An evaluation keyword selecting unit that selects evaluation keywords from the competency keywords extracted by the competency keyword extracting unit based on the evaluation keyword selection criteria provided by the evaluation index generating unit;
And a capability evaluator for evaluating human resource competencies using the evaluation keywords selected by the evaluation keyword selector. 5. The method of claim 4,
The evaluation index generator further generates a reliability test index for verifying the evaluation keywords selected by the evaluation keyword selection unit,
And a reliability checker which verifies the reliability of the evaluation keywords selected by the evaluation keyword selector by using the reliability check indicator generated by the evaluation index generator. The method according to claim 4 or 5,
Based on the human resource capabilities evaluated by the competency evaluation unit, the human resource competency evaluation system, characterized in that it further comprises a competency management unit for providing a personalized information or a personalized advertisement required for the evaluation target. The method according to claim 4 or 5,
In addition, by linking the competency level and work performance based on the human resource competency evaluated by the competency evaluation unit, a capability management unit for establishing a learning plan for improving the human resource capability of the subjects to be evaluated and managing the learning according to a schedule further comprises: Human resource capacity assessment system. In the human resource capability evaluation method having a capability server connected to the terminal device and the network,
Storing, at the competency server, a database storing response information about a GQM questionnaire received from the terminal device and document information for evaluating human resource competencies;
Providing a selection criterion for the extraction of item-specific competency keywords and document competency keywords in the competency server;
In the competency server, by using the selection criteria provided in the step of providing the selection criteria, it is possible to extract the competency keywords for each item from the response information for the GQM questionnaire stored in the database, and to evaluate the human resource capability Extracting document capability keywords from document information, and
And evaluating, in the competency server, a human resource competency using item competency keywords and document competency keywords extracted in the step of extracting the competency keywords. In the human resource capability evaluation method having a capability server connected to the terminal device and the network,
Storing, at the competency server, a database storing response information about a GQM questionnaire received from the terminal device and document information for evaluating human resource competencies;
Extracting competency keywords from the competency server from document information capable of evaluating human resource competencies and response information for a GQM questionnaire stored in the database;
Generating an evaluation keyword selection criterion using the competency keywords extracted in the competency server, extracting the competency keywords;
Selecting, at the competency server, evaluation keywords from the competency keywords extracted at the step of extracting the competency keywords based on the evaluation keyword selection criteria provided at the step of generating the evaluation keyword selection criteria;
And evaluating, in the competency server, a human resource competency using the selected evaluation keywords in the step of selecting the evaluation keywords. 10. The method of claim 9,
Generating, at the competency server, a reliability check index for verifying the evaluation keywords selected in the step of selecting the evaluation keywords using the competency keywords extracted in the step of extracting the competency keywords;
And verifying the reliability of the selected evaluation keywords in the step of selecting the evaluation keywords by using the reliability check index generated in the step of generating the reliability check index in the competency server. Competency Assessment Method.

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