KR20130082527A

KR20130082527A - Method for managing experts

Info

Publication number: KR20130082527A
Application number: KR1020110130432A
Authority: KR
Inventors: 박영선; 박은영; 이예리; 김민지
Original assignee: 삼성에스디에스 주식회사
Priority date: 2011-12-07
Filing date: 2011-12-07
Publication date: 2013-07-22

Abstract

PURPOSE: An expert management method is provided to systematically manage an expert suitable for a professional field and enable a worker to easily access the expert of the corresponding professional field on a system. CONSTITUTION: An expert management system calculates present condition data about an expert candidate for a classification reference and extracts work experience of the expert candidate based on the present condition data (S110,S120). The expert management system writes first evaluation data by digitalizing the work experience and determines an expert from the expert candidate based on the first evaluation data (S130,S140). The classification reference includes at least one of a work process, a type of a business, or an area. [Reference numerals] (S110) Calculate situation data for an expert candidate for each classification reference; (S120) Extract the work experience of the expert candidate based on the situation data; (S130) Write first evaluation data by digitalizing the work experience; (S140) Determine an expert from the expert candidate based on the first evaluation data

Description

Expert management method {METHOD FOR MANAGING EXPERTS}

The present invention relates to an expert management method, and more particularly, to an expert management method capable of efficiently managing experts included in an expert pool through continuous activity-based reassessment.

In various fields, a system (hereinafter, referred to as a business integrated management system) that manages various tasks online or offline through a predetermined terminal such as an intranet or enterprise resource planning (Enterprise Resource Planning) has been applied. In the past, the integrated business management system provided only limited functions such as an electronic bulletin board, electronic payment, or e-mail, but recently, it supports various functions related to various tasks, and all the business is a paperless business integrated management system. It can be processed only.

As an exemplary business integration management system, for example, a logistics management system that provides various functions related to logistics operations. Logistics management system supports transport management system that manages the rate and route of transportation required to move the goods to the desired location, and the receipt, release and inventory management of warehouses that store the goods. Various subsystems such as Warehouse Management System, Contract Management System that manages contracts related to logistics storage or supply, and Billing Management System that calculates the costs incurred by logistics business It may include.

In this integrated work management system, the work efficiency is greatly increased, so each task processor is not only responsible for a limited small range of tasks like in the past, but it is necessary to handle various tasks. There may be times when you have to perform a task in an unskilled field or when you have to deal with an unexpected outbreak or problem situation.

In these cases, it is necessary to seek the help of experienced and experienced business handlers (hereinafter referred to as experts) who have the skills to deal with. For example, if an inexperienced person who needs to handle a task does not handle the task with the advice of an expert, but handles the task alone, the task processing speed and the outcome of the task may be significantly different. In addition, as this process is repeated, the productivity of the company is inevitably reduced. In addition, even if the inexperienced person identifies the job by continuously processing the same or similar job as the job, the new worker takes the job again due to relocation, for example, moving of the department or leaving the company. If you do, you have no choice but to repeat the same unproductive process.

Therefore, it is necessary to efficiently manage experts and actively utilize experts as working consultants who work within companies, affiliates or business partners that share the same work system, or provide advice or solutions as necessary in the form of external personnel. There is. In particular, the necessity of systematically managing a plurality of experts through the division of labor and systematization according to the current status of the experts and the specialized fields linked to the work system is increasing.

For example, if a business processor is in charge of establishing a logistics base in a logistics management system, and the business processor has no previous experience in establishing a logistics base, he or she can obtain expert advice on establishing a logistics base. For example, it may be possible to determine where and how large logistics centers can be established. On the other hand, to deal with logistics transport tasks, it is necessary to consult with experts who are optimized for logistics transport.

As such, since a plurality of experts may have different areas of expertise, there is a need for a system that systematically manages experts according to their areas of expertise, and allows a worker to easily access and receive advice from experts in the field. do.

On the other hand, even if a specialist in a certain field, a predetermined time elapses, the processing method of the job may be changed, or the utility of the expert's knowledge may be reduced, resulting in a lack of expertise. You can also use your expertise.

Therefore, there is a need for an expert management system that systematically manages experts according to their specialties, but can continuously manage and update their expertise.

The technical problem to be solved by the present invention in consideration of this point is to manage the experts systematically in accordance with the professional work area of the expert, the expert management in the system can easily access the expert in the work area experts to get advice To provide a way.

Another technical problem to be solved by the present invention is to periodically re-evaluate the expertise of the selected experts to exclude some of the existing experts from the expert list, by registering a newly recognized work advisor in the expert list, It provides a way to manage professionals so that the expert list status can be kept up to date.

The technical objects of the present invention are not limited to the above-mentioned technical problems, and other technical subjects not mentioned can be clearly understood by those skilled in the art from the following description.

Expert management method according to an embodiment of the present invention for achieving the technical problem, calculating the status data for the expert candidates by classification criteria, extracting the job performance experience of the expert candidates with reference to the status data Comprising the steps, the step of quantifying the extracted job performance experience to create a first evaluation data, the step of determining the expert from the expert candidates based on the first evaluation data, the classification criteria are business process, industry or Includes one or more of the regions.

Expert management method according to another embodiment of the present invention for achieving the technical problem, the step of extracting the expert activity history of the expert for each classification criteria, to create the evaluation data for each classification criteria by digitizing the extracted expert activity history And determining whether to maintain expert status of the expert based on the evaluation data, wherein the classification criteria include one or more of a business process, an industry, or a region.

The details of other embodiments are included in the detailed description and drawings.

According to the embodiments of the present invention as described above, the expert is systematically managed according to the professional work field of the expert, and the work processor on the system can easily access the expert in the corresponding work field and obtain advice. In other words, after categorizing the experts by specialty, they provide a list of the experts by the work category and the corresponding expert information to the user of the work processing system, so that the work processor can select the desired expert to receive prompt and accurate work advice.

In addition, by periodically re-evaluating the expertise of selected experts, some of the existing experts are excluded from the expert list, and newly recognized work advisors are registered on the expert list, keeping the expert list status up-to-date. There is an effect that can be. In other words, based on the activity history after being selected as an expert, the expert's expertise in each field can be re-evaluated and converted into an evaluation value. Experts can be excluded from the list of experts and register as a new expert if the expertise of the non-expert exceeds a certain number, so that the list of experts always reflects the latest status.

The effects according to the present invention are not limited by the contents exemplified above, and more various effects are included in the specification.

1 is a flow chart illustrating an expert management method according to an embodiment of the present invention.
2 is a diagram illustrating expert classification criteria according to embodiments of the present invention.
3 is a diagram illustrating a classification of a business process according to embodiments of the present invention.
4 is a diagram illustrating an expert candidate group according to the type of operation task of FIG. 3.
FIG. 5 is a graph illustrating first evaluation data and expert selection criteria of the expert candidate group of FIG. 4.
6 is a flowchart illustrating an expert management method according to another embodiment of the present invention.
7 is a flowchart illustrating an expert management method according to another embodiment of the present invention.
FIG. 8 is a diagram illustrating a specific flow of the expert management method of FIG. 7.
FIG. 9 is a view illustrating an expert status change situation according to the expert management method of FIG. 7.

BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention and the manner of achieving them will become apparent with reference to the embodiments described in detail below with reference to the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Is provided to fully convey the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout.

Although the first, second, etc. are used to describe various components, it goes without saying that these components are not limited by these terms. These terms are used only to distinguish one component from another. Therefore, it goes without saying that the first component mentioned below may be the second component within the technical scope of the present invention.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. The terms " comprises "and / or" comprising "used in the specification do not exclude the presence or addition of one or more other elements in addition to the stated element.

Unless otherwise defined, all terms (including technical and scientific terms) used in the present specification may be used in a sense that can be commonly understood by those skilled in the art. Also, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise.

First, an expert management method according to an embodiment of the present invention will be described with reference to FIGS. 1 to 5. 1 is a flowchart illustrating an expert management method according to an embodiment of the present invention, FIG. 2 is a diagram illustrating expert classification criteria according to embodiments of the present invention, and FIG. 3 is an embodiment of the present invention. FIG. 4 is a diagram illustrating a classification of business processes according to the present invention, and FIG. 4 is a diagram illustrating an expert candidate group according to the type of operation task of FIG. 3, and FIG. 5 is a first evaluation data and expert selection criteria of the expert candidate group of FIG. 4. A graph representing.

Expert management method according to an embodiment of the present invention, calculating the status data for the candidate candidates by classification criteria (S110), extracting the job performance experience of the expert candidates with reference to the status data (S120) Comprising a step of creating a first evaluation data by digitizing the extracted job performance experience (S130), Determining an expert from the expert candidates based on the first evaluation data (S140), wherein the classification criteria are Include one or more of a business process, industry, or region.

In the present specification, the expert means a person having a certain level of skill or more for a predetermined task, job, or business type, and by providing his or her own experience or knowledge to another task processor, more efficient work processing is possible.

First, the present status data for the candidate candidates for each classification criteria (S110). The expert management method according to the present embodiment includes a process of determining an expert from among non-experts who do not currently obtain expert status, and acquires status data of non-specialists or expert candidates in various fields according to classification criteria. In other words, the status of experts is not permanent, and non-experts can acquire the status of experts according to their activities, including work experience, etc. On the contrary, existing experts lose their status if they are not active. May be

The status data of expert candidates may include personal information of the candidates, job fields, job experiences, and the like.

Referring to FIG. 2, the classification criteria of the expert candidate may include a business process, a business type, and a region. That is, the candidate can be classified according to the classification criteria by business process, industry, and region, and one candidate can belong to the expert candidate area according to one or more classification criteria. For example, if one expert candidate has some experience in logistics transportation in Southeast Asia, among the classification criteria of the expert candidate, the business classification is logistics, the business process classification is transportation, and the regional classification may be determined as Southeast Asia. have.

Referring to FIG. 3, specifically, among the classification criteria of the expert candidates, a work process may be classified into a planning / management task and an operation task, and the planning / management task includes marketing, sales, development, construction, purchasing, and management management tasks. Operational tasks may include transportation, warehousing and operations management. In this embodiment, the expert candidate on the logistics management system has been described as an example. However, the present invention is not limited thereto, and other classification criteria for determining expert candidates in other fields may be applied.

Referring to FIG. 4, Expert Candidate (EC) groups may be classified according to, for example, a transportation task (EC_a), a warehouse task (EC_b), and an operation management task (EC_c) belonging to an operation task. There is no restriction on expert candidates, and all the business processors performing the job in the field may be expert candidates, and expert candidates may be determined based on more than a predetermined job or job experience.

In the illustrated example, the expert candidates a1, a2, a3 of the transportation service EC_a, the expert candidates b1, b2, b3, b4, b5 of the warehouse service EC_b, and the expert candidates of the operation management service EC_c. (c1, c2, c3, c4), but not limited to, one candidate can be listed as a candidate for a plurality of fields.

Subsequently, referring again to FIG. 1, the job performance experience of the expert candidate is extracted with reference to the above-described status data (S120). Job performance experiences may include the length of time a job has been performed in a business process or industry and / or a senior's assessment of the job in charge, and may include activities outside of the job function, such as the number of knowledge sharing associated with the job. have. That is, it is possible to determine the job performance experience by quantifying and comprehensively considering the experience of performing the job in charge and the knowledge sharing of the job in charge. Knowledge sharing will be described later in detail in the following embodiments. For example, a longer period of time in which a given job is performed in a given job field may be more likely to be selected as an expert.

Next, the first evaluation data is prepared by quantifying the extracted job performance experience (S130). Referring to FIG. 5, first evaluation data of expert candidates b1, b2, b3, b4 and b5 belonging to the warehouse service EC_b is illustrated. The first evaluation data is derived by reflecting all of the above-described job performance experiences and quantifying them.

Subsequently, an expert is determined from the expert candidates based on the first evaluation data for each expert candidates b1, b2, b3, b4 and b5 (S140). In the example shown in FIG. 5, predetermined expert selection criteria are illustrated, and expert candidates b1, b3, and b5 exceeding the expert selection criteria may be selected as new experts, and expert candidates failing to meet the expert selection criteria. (b2, b4) can maintain the state of the non-expert.

As such, by evaluating the existing candidates and setting new experts, the newly registered professional advisors can be registered in the expert list, and the expert list status can be kept up to date. In addition, after categorizing the experts by specialty, they provide the users of the entire processing system with the latest updated list of the experts in each business category and the corresponding expert information, so that the business processor can select the experts who are desired to provide prompt and accurate business advice. I can receive it.

Hereinafter, an expert management method according to another embodiment of the present invention will be described with reference to FIG. 6. 6 is a flowchart illustrating an expert management method according to another embodiment of the present invention.

The expert management method according to the present embodiment is the same as the previous embodiment, but extracting the non-expert activity history of the expert candidate with reference to the current status data (S240) and the extracted non-expert activity history to quantify the second evaluation data. Further comprising the step (S250), and finally in determining the expert, it is possible to comprehensively consider the first evaluation data and the second evaluation data described above (S260).

In the present embodiment, the non-expert activity may mean knowledge sharing. Knowledge sharing may be implemented in the form of a knowledge sharing bulletin board and the like in the form of a knowledge sharing bulletin on the enterprise management system, but is not limited to this, but is not limited to this. And all cases in which answers are made.

Such non-professional activity may further include, for example, one or more of the number of inquiry, recommendation number, or rating for knowledge sharing. In other words, when the utilization of the shared knowledge is high or the evaluation is high, all such knowledge sharing experiences may be positively reflected in the non-expert activity.

The first evaluation data according to the job performance experience and the second evaluation data according to the non-expert activity history are considered together, and the expert candidate who scores a predetermined selection criterion from the expert candidate can be selected as an expert (S260).

Since the remaining steps are the same as in the previous embodiment, description thereof is omitted.

Hereinafter, an expert management method according to another embodiment of the present invention will be described with reference to FIGS. 7 to 9. FIG. 7 is a flowchart illustrating an expert management method according to another embodiment of the present invention, FIG. 8 is a diagram illustrating a detailed flow of the expert management method of FIG. 7, and FIG. 9 is an expert management method of FIG. 7. FIG. 3 shows the status of expert status change.

Expert management method according to another embodiment of the present invention, the step of extracting the expert activity history of experts by classification criteria (S310), the step of creating the evaluation data for each classification criteria by quantifying the extracted expert activity history (S320) ), And determining whether or not the expert status of the expert based on the evaluation data (S330), the classification criteria include one or more of a business process, industry or region.

First, the professional activity history of experts by classification criteria is extracted (S310). In the expert management method according to the present embodiment, the evaluation data is prepared based on the activity history of the expert for the experts who maintain the current status of the expert, and then it is determined whether to maintain the status of the expert based on the evaluation data. Process. That is, as described in the above embodiment, the expert's status is not permanently maintained, and the existing expert may lose the expert's status.

The classification criteria of the expert may be the same as the classification criteria of the expert candidate described in the above embodiment. That is, the classification criteria of experts may include business processes, industries and regions, and may be classified into professional or domain categories of experts according to business processes, industries and regions, and one expert may include one or more classification criteria. May belong to the expert area according to.

In addition, as described in the previous embodiment, the classification criteria of the candidates for experts, among the classification criteria of experts can be classified into planning and management tasks and operation tasks, planning / management tasks are marketing, sales, development, construction, It may include procurement, management, and operations, and operations may include transportation, storage, and operations. In this embodiment, the expert on the logistics management system has been described as an example. However, the present disclosure is not limited thereto, and other classification criteria for evaluating experts in other fields may be applied.

An expert's activity may include the duration of the expert's activity as an expert, and may include any process in which a non-professional or expert performs a query based on the classification to which the expert belongs, and the expert performs an answer to the query. have. In other words, unlike in the previous embodiment, if the position of the expert has already been secured, the expert may be evaluated based on the details of the activity as the qualification of the expert, and based on this, it may be determined whether to maintain the expert's position.

Specifically, the expert activity history may include the number of answers of the expert in response to the inquiry to the expert, and may further include the number of times of inquiry or recommendation for the answer. In addition, the query may further include a rating of the queryer. The question and answer process with the expert may be in the form of an electronic bulletin board (BBS) on the enterprise integrated system, or may be in a private form such as a mail or a messenger. In addition, the inquirer who has made the inquiry can establish an expert answer database by determining whether the content of the answer is disclosed.

Referring to FIG. 8 in more detail, a group of experts E classified according to a transportation task E_a, a warehouse task E_b, and an operation management task E_c belonging to an operation task is illustrated.

For example, if expert advice is needed while the first non-expert (NE1) is in charge of the transport business, select the expert (a3) from the Expert Pool in the transport business field and ask the expert (a3). Inquire the content to be answered (S410).

The questioned expert a3 provides the first non-expert NE1 with an answer to the question. As described above, the question and answer process with the expert may be performed publicly or privately.

The first non-expert (NE1), who received the desired answer, may openly register the question / answer in a predetermined electronic bulletin board or the like according to the company-wide rules on expert question / answer, and may assign a rating according to the satisfaction with the answer. (S430). If a question / answer is made through a public bulletin board or the like, the public registration process may be omitted.

Questions / answers published in searchable form by others may be searched and searched by third parties. In the illustrated example, a second non-expert (NE2) who wants an answer to the same query may search for and display a publicly available question / answer through a search, and may perform an evaluation on an answer (S440 and S450). . In addition, a third non-expert (NE3) who wants an answer to the same query may access and query the published question / answer through the same process, and may recommend the published question / answer to another person (S460 and S470). .

Others can freely view the publicly disclosed questions and answers, and express their satisfaction with the corresponding answers in various forms, and the evaluated results are accumulated in the expert activities of the experts (a3) who answered the answers (S480). ). In other words, if the answers provided are useful, the number of published questions / answers is high, the number of evaluations and recommendations is high, and these numbers are added to the activities of expert a3 to increase the likelihood of maintaining the overall professional status. On the contrary, if the answers provided are not satisfactory or provide incorrect information, the number of evaluations or recommendations may be low, and such figures may be added to the activity of the expert (a3).

As described above, the extracted expert activity is digitized to create evaluation data for each classification criterion (S320), and based on the evaluation data, whether to maintain expert status of the expert is determined (S330).

For example, as shown in FIG. 9, based on the evaluation data, the expert (a3) in the field of transport work (E_a) and the expert (c4) in the field of operation management work (E_c) among the experts lose their status. Instead, newly selected experts (a4, c6) may take their place. However, the number of experts by classification criteria is not necessarily kept the same, and when the number of experts decreases or increases, the number of persons who lose the status of experts and those who newly acquire the status of experts may be different.

In this way, after categorizing the experts by the professional field, by providing a list of experts by the business category and the corresponding expert information to the user of the work processing system, the work processor can select the desired professional to receive prompt and accurate work advice, that is, Based on the activity history after being selected as an expert, the expert's expertise in the relevant area is re-evaluated and converted into an evaluation value. Except for the expert list, if a non-expert's expertise exceeds a certain level, the new member can be registered as a new expert, so that the expert list always has the latest status.

Although embodiments of the present invention have been described above with reference to the accompanying drawings, those skilled in the art to which the present invention pertains may implement the present invention in other specific forms without changing the technical spirit or essential features thereof. I can understand that. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive.

E: Expert
NE: Amateur
EC: Expert Candidate

Claims

Calculating status data of candidate candidates for each classification criteria;
Extracting a job performance experience of the expert candidate by referring to the current status data;
Creating first evaluation data by digitizing the extracted job performance experience; And
Determining an expert from the expert candidate based on the first evaluation data,
The classifier includes at least one of a business process, industry or region.

The method of claim 1,
Extracting non-expert activities of the expert candidates by referring to the current status data; And
And digitizing the extracted non-expert activity history to create second evaluation data.

The method of claim 2,
The determining of the expert may include determining an expert based on the first evaluation data and the second evaluation data.

The method of claim 1,
The business process,
Professional management methods including planning / management and operations.

5. The method of claim 4,
The planning / management duties,
A professional management method that includes one or more of marketing, sales, development, construction, purchasing, or business management.

5. The method of claim 4,
The operation duties mentioned above,
Expert management method that includes one or more of transportation, warehouse, or operations management.

The method of claim 1,
The job performance experience,
Expert management method comprising a period of time to perform a job in the business process or the industry.

The method of claim 1,
The job performance experience,
Expert management method, including the number of knowledge sharing associated with the job.

9. The method of claim 8,
The job performance experience,
Expert management method further comprises one or more of the number of inquiry, recommendation number or rating for the knowledge sharing.

Extracting expert activities of experts by classification criteria;
Creating evaluation data for each classification criterion by digitizing the extracted expert activity history; And
Determining whether to maintain expert status of the expert based on the evaluation data;
The classifier includes at least one of a business process, industry or region.

The method of claim 10,
The business process,
Professional management methods including planning / management and operations.

12. The method of claim 11,
The planning / management duties,
A professional management method that includes one or more of marketing, sales, development, construction, purchasing, or business management.

12. The method of claim 11,
The operation duties mentioned above,
Expert management method that includes one or more of transportation, warehouse, or operations management.

The method of claim 10,
The professional activity history,
Expert management method including the number of times the expert's answers to the inquiries.

15. The method of claim 14,
The professional activity history,
Expert management method further comprising the number of inquiry or recommendation for the answer.

15. The method of claim 14,
The professional activity history,
Expert management method further comprising a rating of the queryer for the answer.

The method of claim 10,
The professional activity history,
Expert management method, including duration of expert activity.