• KDI Journal of Economic Policy
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• v.34 no.3
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• pp.133-186
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• 2012

This paper analyzes the effectiveness of social networks in finding jobs and estimates the value of job search network using the Korean Laber and Income Panel Study (KLIPS) dataset and utilizing the Difference-in-Difference Propensity Score Matching (PSM) methodology (Heckman et al., 1997). While the wide use of social networks in the Korean labor market is often perceived as 'nepotism,' this study confirms that social networks, by serving as an effective information transmitter between job search and recruitment, make a significant contribution to improving the adequacy of job matching in the domestic labor market. In order to verify the effectiveness of using social networks for getting jobs, this study looks into the cases of labor turnover using social networks and also not using it. In the aspect of individual satisfaction improvement relating to workplace and job duties, both cases of turnover turn out to experience an increased satisfaction by 2~3 points (on a 100-score scale). Meanwhile, as for the educational and technical adequacy improvement, no positive effects are found in the case of turnover without social networks, whereas the educational and technical adequacy improvement turns out to increase by 2.13 and 2.52 points, respectively, in the case of turnover using social networks. The effect of income increase through turnover using social networks registered 40,074 Korean won per month (as of 2010), which can be considered as the result from the improved educational and technical adequacy. Of all things being considered, the value of job search network per wage worker in the Korean society is estimated to be 18.72 million won in terms of life-cycle wage improvement, and 758.2 scores in terms of the improvement of working life satisfaction. Provided that the cash value of satisfaction score 1 is equivalent to 'n' times 10,000 won, the aggregate value of job search network is estimated to be 18.72+7.582n million won, which means the total amount of costs that a wage worker in the Korean society willingly pays to maintain and manage job networks for lifetime.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.538-539
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• 2024

개발자 채용 시장은 기술 요구 사항이 시시각각 변화하는 동적인 환경이다. 구직자는 빠른 변화로 새롭게 생겨나는 기술 스택 및 채용 트렌드를 한눈에 파악하기 힘들다. 본 논문에서는 개발자 채용 시장에서 요구되는 기술 동향을 시각화하여 효율적으로 파악할 수 있도록 하는 새로운 서비스를 제안한다. 이 서비스는 웹 크롤링 기술을 활용해 채용 공고에서 요구되는 구인 요구사항을 수집하고 분석한다. 분석 결과는 기술 빈도, 지역별, 학력별 및 경력별로 제공되며, 사용자가 선택한 유형의 기술 동향 분석 결과를 시각화하여 제공한다. 이를 통해 개발자는 채용 시장에서 요구되는 기술을 식별하고 학습할 기술을 선정하는 과정을 간소화할 수 있다. 이러한 접근 방식은 효율적인 채용 시장 기술 동향 분석에 도움을 주고, 나아가 교육 기관이 채용 시장에서 요구되는 기술을 정확히 파악하여 교육 커리큘럼에 활용할 수 있을 것이라 기대한다.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.203-209
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• 2021

In this study, a prototype design model was proposed for developing an online recruitment system through multi-dimensional data crawling and social media analysis, and validates text information and video interview in job application process. This study includes a comparative analysis process through text mining to verify the authenticity of job application paperwork and to effectively hire and allocate workers based on the potential job capability. Based on the prototype system, we conducted performance tests and analyzed the result for key performance indicators such as text mining accuracy and interview STT(speech to text) function recognition rate. If commercialized based on design specifications and prototype development results derived from this study, it may be expected to be utilized as the intelligent online recruitment system technology required in the public and private recruitment markets in the future.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.285-297
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• 2023

This study was conducted to explore the career competencies among the middle-aged employment vulnerable groups and to provide the basis for systematic career development and human resource development for the middle-aged and employment vulnerable groups. Interviews and expert advice for the middle-aged (40-64 years old) employment vulnerable groups were conducted. The main research results as follows. First, middle-aged employment vulnerable groups have different career requirements depending on their characteristics. Second, the career competencies of the middle-aged employment vulnerable group were composed five factors and 21 sub-detailed competencies including career cognitive competencies, career skill competencies, career attitude competencies, career transition competencies, and career resource management competencies. Third, as a result of the priority analysis of Borich and Locus for Focus, career goal setting, career implementation competency, employment and start-up information, job search skills were the top priorities, career identity, digital literacy, job market knowledge, and infrastructure utilization were the second priority.

• 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.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.528-542
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• 2021

The purpose of this study is to examine the commonalities and differences that appear across the types of perceptions toward job changes according to the Industrial 4.0. among job seekers and workers. For an approach to subjective beliefs, viewpoints and preferences, the data investigated using Q methodology, was analyzed using the QUANL program for PC. From the Q-methodology, the types of perception toward job changes due to Industrial 4.0 and their features were drawn. The perception types were classified as four types: negative perception type, neutral perception type, high evaluation about quality of jobs, and employment increase perception type. The results found that views toward job transition due to Industrial 4.0 are were diverse beyond the dichotomy and institutional and educational efforts should be required to mitigate job insecurity and cope with job changes caused by technological advance.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.429-433
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• 2022

We analyzed both current local policies and in-depth survey data to find out a way to provide job opportunity and income source to local young people in so-called job guarantee system. The young generation in current Korean society has been experiencing both growth without employment and severe economic inequality at the same time, though they should have taken part actively in social development. Their rights for work and survival have also been threatened and losing hope for the future is an widespread symptom in this generation. Kwangju metropolitan city(KMC) has been supporting certain amount of case income and job experience to young people in Kwangju through a local government policy called Kwangju Young Generation Job Experience Dream Service. In spite of high level of satisfaction from the participants, limitations such as below average job performance level of participants and a barrier in the transition to regular position still remain. This study hopes that a case of Kwangju gives pragmatic insights for a realizable path to expanding universal welfare through assuring job opportunity to the young generation in local area.

• 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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.4
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• pp.1603-1608
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• 2012

This paper aims to build a model of unemployment duration, in which each type of unemployment duration can be defined as a function of other exogenous variables. Recently, the so-called mismatch in the labor market has become a big issue in most countries. It is very obvious that 'mismatch' is deeply related to the long duration of unemployment status. Two problems may be head and tail of the same coin. Employing a simple analysis of Markov stochastic process, the model of unemployment duration developed here is useful for seeing the effects of shocks on unemployment duration. The model allows us to distinguish the determinants of different kinds of unemployment and to identify the nature of unemployment duration.

• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.251-258
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• 2019

This study proposed a system that can improve the employment rate and maintenance employment rate by filtering information related to employment in analyzing big data for students who want to find employment. The subject was a two-year female university, the existing employment strategy participated in the job search with simple information such as school grades and personality. As a result, the maintenance employment rate was relatively low due to the decrease in the satisfaction of students seeking employment and the incompatibility with the post-employment aptitude. In order to solve these problems, we propose a system that determines and filters whether the input data in the process of analyzing big data such as employment-related information to improve employment and maintenance employment rates.