• Title/Summary/Keyword: 구인구직

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Job Preference Analysis and Job Matching System Development for the Middle Aged Class (중장년층 일자리 요구사항 분석 및 인력 고용 매칭 시스템 개발)

  • Kim, Seongchan;Jang, Jincheul;Kim, Seong Jung;Chin, Hyojin;Yi, Mun Yong
    • Journal of Intelligence and Information Systems
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    • v.22 no.4
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    • pp.247-264
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    • 2016
  • With the rapid acceleration of low-birth rate and population aging, the employment of the neglected groups of people including the middle aged class is a crucial issue in South Korea. In particular, in the 2010s, the number of the middle aged who want to find a new job after retirement age is significantly increasing with the arrival of the retirement time of the baby boom generation (born 1955-1963). Despite the importance of matching jobs to this emerging middle aged class, private job portals as well as the Korean government do not provide any online job service tailored for them. A gigantic amount of job information is available online; however, the current recruiting systems do not meet the demand of the middle aged class as their primary targets are young workers. We are in dire need of a specially designed recruiting system for the middle aged. Meanwhile, when users are searching the desired occupations on the Worknet website, provided by the Korean Ministry of Employment and Labor, users are experiencing discomfort to search for similar jobs because Worknet is providing filtered search results on the basis of exact matches of a preferred job code. Besides, according to our Worknet data analysis, only about 24% of job seekers had landed on a job position consistent with their initial preferred job code while the rest had landed on a position different from their initial preference. To improve the situation, particularly for the middle aged class, we investigate a soft job matching technique by performing the following: 1) we review a user behavior logs of Worknet, which is a public job recruiting system set up by the Korean government and point out key system design implications for the middle aged. Specifically, we analyze the job postings that include preferential tags for the middle aged in order to disclose what types of jobs are in favor of the middle aged; 2) we develope a new occupation classification scheme for the middle aged, Korea Occupation Classification for the Middle-aged (KOCM), based on the similarity between jobs by reorganizing and modifying a general occupation classification scheme. When viewed from the perspective of job placement, an occupation classification scheme is a way to connect the enterprises and job seekers and a basic mechanism for job placement. The key features of KOCM include establishing the Simple Labor category, which is the most requested category by enterprises; and 3) we design MOMA (Middle-aged Occupation Matching Algorithm), which is a hybrid job matching algorithm comprising constraint-based reasoning and case-based reasoning. MOMA incorporates KOCM to expand query to search similar jobs in the database. MOMA utilizes cosine similarity between user requirement and job posting to rank a set of postings in terms of preferred job code, salary, distance, and job type. The developed system using MOMA demonstrates about 20 times of improvement over the hard matching performance. In implementing the algorithm for a web-based application of recruiting system for the middle aged, we also considered the usability issue of making the system easier to use, which is especially important for this particular class of users. That is, we wanted to improve the usability of the system during the job search process for the middle aged users by asking to enter only a few simple and core pieces of information such as preferred job (job code), salary, and (allowable) distance to the working place, enabling the middle aged to find a job suitable to their needs efficiently. The Web site implemented with MOMA should be able to contribute to improving job search of the middle aged class. We also expect the overall approach to be applicable to other groups of people for the improvement of job matching results.

An Analysis of Subject Specialized Services in Korea (주제전문서비스 운영실태 분석 연구)

  • Noh, Younghee;Noh, Dong-Jo;Ahn, In-Ja;Kim, Sung-Jin
    • Journal of Korean Library and Information Science Society
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    • v.39 no.4
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    • pp.97-123
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    • 2008
  • Subject specialized services are introduced in library environment in order to meet users' needs, which become more specialized, characterized, and personalized. This concept dates back to the 1960 in Korean scholarly research, and previous studies revealed that many libraries in Korea have provided this kind of subject specialized services to library users. This study aimed to consider appropriate directions of subject specialization in Korea. This study examined seven library cases the structure of which is organized by subject specialization. It tried to give a good grasp of background of building up the subject specialization system, current state of the service and its effects, problems and challenges of operating the system, recruitment and training issues of subject specialist librarians, their duties and tasks, and so on. Also Announcements of academic subject specialist positions in Korea are compared to in other countries such as United States, UK, and Canada in order to analyze the demand for subject specialist librarians.

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Experiencing with Splunk, a Platform for Analyzing Machine Data, for Improving Recruitment Support Services in WorldJob+ (머신 데이터 분석용 플랫폼 스플렁크를 이용한 취업지원 서비스 개선에 관한 연구 : 월드잡플러스 사례를 중심으로)

  • Lee, Jae Deug;Rhee, MoonKi Kyle;Kim, Mi Ryang
    • Journal of Digital Convergence
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    • v.16 no.3
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    • pp.201-210
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    • 2018
  • WorldJob+, being operated by The Human Resources Development Service of Korea, provides a recruitment support services to overseas companies wanting to hire talented Korean applicants and interns, and support the entire course from overseas advancement information check to enrollment, interview, and learning for young job-seekers. More than 300,000 young people have registered in WorldJob+, an overseas united information network, for job placement. To innovate WorldJob+'s services for young job-seekers, Splunk, a powerful platform for analyzing machine data, was introduced to collate and view system log files collected from its website. Leveraging Splunk's built-in data visualization and analytical features, WorldJob+ has built custom tools to gain insight into the operation of the recruitment supporting service system and to increase its integrity. Use cases include descriptive and predictive analytics for matching up services to allow employers and job seekers to be matched based on their respective needs and profiles, and connect jobseekers with the best recruiters and employers on the market, helping job seekers secure the best jobs fast. This paper will cover the numerous ways WorldJob+ has leveraged Splunk to improve its recruitment supporting services.

Support of Reuse in Scrum Method with Backlog Binder (스크럼 방법에서 백로그 바인더를 이용한 재사용 지원)

  • Kim, Ji-Hong
    • Journal of Digital Convergence
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    • v.11 no.12
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    • pp.439-445
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    • 2013
  • There has been a growing amount of research on combining Agile methods and software reuse. Most of it introduces Agile into software product line rather than software reuse into Scrum method. Meanwhile, some assets such as backlogs and incremental artifacts in Scrum development are reusable. In this paper, we identify a backlog binder that aggregates reusable Scrum assets and proposes a backlog binder reuse technique. In addition, we can apply the proposed technique and show prototyping of backlog binder reuse in job matching applications.

Bi-directional Fuzzy Matching Algorithm (양방향 퍼지 매칭 알고리즘: 취업정보 적용)

  • Kim, Hyoung-Rae;Jeong, In-Soo
    • Journal of Internet Computing and Services
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    • v.12 no.3
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    • pp.69-76
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    • 2011
  • Matching customers becomes the key function in on-line mediate services. There are two matching methods: one-directional matching that requires requests from one side(e,g., information searching), bi-directional matching that considers requests from both sides. Previous bi-directional matching has difficulties of getting the interests explicitly and service collapse problems when the opposite side do not put responding interests. This paper attempts to automate the inputs of interests for bi-directional matching by calculating the interests with fuzzy matching algorithm for optimization. The results of the proposed Bi-directional Fuzzy Matching(BDFM) algorithm told that the job placement accuracy of employment information matching results is over 95%. And, BDFM gives statically significant positive effect for motivating the employment activities when analyzed the effect after completing the implementation.

A Study on Information Need of Materials Related to Disability (장애관련 자료의 정보요구에 관한 연구)

  • Chang, Woo-Kwon;Park, Seong-Woo;Jeong, Dae-Keun
    • Journal of the Korean Society for Library and Information Science
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    • v.50 no.2
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    • pp.147-181
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    • 2016
  • This study aims to bound the preliminary material for the disabled to provide personalized information systematically and effectively. In order to carry out this study, reference research and survey are conducted the disabled, protector, professional, researcher and teacher. The result, disabled and the persons involved in primary source of disability was a portal site. Critical information types were job board, mobile access to (traffic) information on the information, and medical institutions and so on. Also, Able-bodied compared to the importance of information for disabled people was low and acquisition of data feel it is hard and availability of critical information types, depending on the types of disability and acquisition the difference appeared.

A Design of the OOPP(Optimized Online Portfolio Platform) using Enterprise Competency Information (기업 직무 정보를 활용한 OOPP(Optimized Online Portfolio Platform)설계)

  • Jung, Bogeun;Park, Jinuk;Lee, ByungKwan
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.11 no.5
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    • pp.493-506
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    • 2018
  • This paper proposes the OOPP(Optimized Online Portfolio Platform) design for the job seekers to search for the job competency necessary for employment and to write and manage portfolio online efficiently. The OOPP consists of three modules. First, JDCM(Job Data Collection Module) stores the help-wanted advertisements of job information sites in a spreadsheet. Second, CSM(Competency Statistical Model) classifies core competencies for each job by text-mining the collected help-wanted ads. Third, OBBM(Optimize Browser Behavior Module) makes users to look up data rapidly by improving the processing speed of a browser. In addition, The OBBM consists of the PSES(Parallel Search Engine Sub-Module) optimizing the computation of a Search Engine and the OILS(Optimized Image Loading Sub-Module) optimizing the loading of image text, etc. The performance analysis of the CSM shows that there is little difference in accuracy between the CSM and the actual advertisement because its data accuracy is 99.4~100%. If Browser optimization is done by using the OBBM, working time is reduced by about 68.37%. Therefore, the OOPP makes users look up the analyzed result in the web page rapidly by analyzing the help-wanted ads. of job information sites accurately.

Development and Validation of Tool for the Assessment of Employment Preparedness for People with Visual Impairments (시각장애인 고용준비도 검사지 개발 및 타당화 연구)

  • Jun, Young Hwan;Lee, Tae Hun;Lee, Jae Ho
    • 재활복지
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    • v.21 no.1
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    • pp.27-46
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    • 2017
  • The purpose of this study is to develop tool for the assessment of employment preparedness for people with visual impairments. First, we developed a draft assessment factors. Expert opinion survey, delphi survey, pilot test were conducted to modify contents of the factors. Actual assessments were carried out to test the reliability and validity of the developed tool targeting job seeker with visual disabilities. The total number of valid samples are 253. Principal component analysis, confirmatory factors analysis, and correlation analysis were used for the validity test. Chronbach' alpha analysis was used for the reliability test. As a result of the reliability analysis, the reliability coefficient showed good level of 0.88-0.92. As a result of the factor analysis, it was confirmed that the composition concept of 9 factors were well reflected. The correlation coefficient between employment preparedness tool and job screening tool was 0.501, Which was statistically significant. Therefore, it was evaluated as having a concurrent validity. Finally, it was confirmed that the assessment of employment preparedness for people with visual impairments was valid as assessment tool.

An Examination of Core Competencies for Data Librarians (데이터사서의 핵심 역량 분석 연구)

  • Park, Hyoungjoo
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.33 no.1
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    • pp.301-319
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    • 2022
  • In recent decades, research became more data-intensive in the fast-paced information environment. Researchers are facing new challenges in managing their research data due to the increasing volume of data-driven research and the policies of major funding agencies. Information professionals have begun to offer various data support services such as training, instruction, data curation, data management planning and data visualization. However, the emerging field of data librarians, including specific roles and competencies, has not been clearly established even though librarians are taking on new roles in data services. Therefore, there is a need to identify a set of competencies for data librarians in this growing field. The purpose of this study is to consider varying core competencies for data librarians. This exploratory study examines 95 online recruiting advertisements regarding data librarians posted between 2017 and 2021. This study finds core competencies for data librarians that include skills in technology, communication and interpersonal relationships, training/consulting, service, library management, metadata knowledge and knowledge of data curation. Specific core technology skills include knowledge of statistical software and computer programming. This study contributes to an understanding of core competencies for data librarians to help future information professionals prepare their competencies as data librarians and the instructors who develop and revise curriculum and course materials.

A Study on Investigating Roles and Qualifications of Health Information Librarian (건강정보전문사서의 역할 및 자격제안에 관한 연구)

  • Noh, Younghee
    • Journal of Korean Library and Information Science Society
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    • v.44 no.4
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    • pp.93-122
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    • 2013
  • This study purpose to identifying the roles of Health Information Librarian which its role is increasing according to increase recent interest in wellness and health. In other words, this study will present the Education, careen duties and so on, which should be possed by Health Information Librarian, based on the analysis of Job Site. As as result, first, health information professional librarian's name appears very diverse, and consumer health information librarian will be appropriate name for public libraries and medical librarian will be appropriate for medical library and hospital library. Second, education experience required for health information librarian is master's degree of library and information science and bachelor's or more health related degree. Third, at least two years of health-related field experience, particularly health information service experience, is required. Forth, excellent communication skills and interpersonal skills are required, expecially higher knowledge for health-related information resources is required. Fifth, the main duties what health information librarian need to perform, are library management services, training services, research services, access to and sharing of information resources, collection management, information management, information management technology, and advocacy.