• Journal of the Korea Convergence Society
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• v.9 no.2
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• pp.241-250
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• 2018

Online recruitment services have emerged as one of the most popular Internet services, providing job seekers with a comprehensive list of jobs and a search engine. But many recruitment services suffer from shortcomings due to their reliance on traditional client-pull information access model, in manay cases resulting in unfocused search results. Worldjob+, being operated by The Human Resources Development Service of Korea, addresses these problems and uses Splunk, a platform for analyzing machine data, to provide a more proactive and personalised services. It focuses on enhancing the existing system in two different ways: (a) using personalised automated matching techniques to proactively recommend most preferrable profile or specification information for each job opening announcement or recruiting company, (b) and to recommend most preferrable or desirable job opening announcement for each job-seeker. This approach is a feature-free recommendation technique that recommends information items to a given user based on what similar users have previously liked. A brief discussion about the potential benefit is also provided as a conclusion.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.143-145
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• 2015

본 논문은 대기업에 편중된 구직 상황을 해결하기 위해 대학교의 학생 정보를 통해 중소기업과의 취업으로 연계하는 스마트 매칭 시스템의 설계를 제안한다. 기존 취업 포탈 사이트 에서는 업종과 직종을 직접 찾아들어가야 하는 매칭 시스템을 제공하고 있다. 이 문제를 해결하기 위해 대학교 DB에 있는 학생 정보를 직업들과 매칭하여 주는 스마트 매칭 시스템의 개발을 목적으로 한다. 따라서 제안한 스마트 매칭 시스템은 업종과 직종을 찾아 들어가야 하는 기존에 시스템을 로그인만 하면 바로 학과 정보, 지역 정보에 맞는 채용 공고를 자동으로 보여주는 방식으로 변경하여 대학생과 중소기업 간의 취업률을 높일 것으로 예측한다.

• Journal of vocational education research
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• v.35 no.4
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• pp.63-88
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• 2016

This study surveyed and analyzed the labor market result when comparing the case that junior college students found a job after transferring to 4-year university with the case that they found the job directly after graduating the junior college. The difference of the occupational structure following the transfer was surveyed in detail and this study examined what effect the transfer had on the occupation status. The graduate occupation movement survey(GOMS) was used and the samples of 544 persons were extracted to use through propensity score matching(PSM) to raise the choice convenience of the sample. The occupation status index to use as a dependent variable was developed to apply. The study result is as follows. First, as a result of confirming the occupational structure of the transfer, the transfer students were distributed in more various industrial fields evenly compared to the non-transfer students in the horizontal industrial structure, and non-transfer students were intensively distributed in the certain field. In the vertical occupation status structure, transfer students were distributed in the high occupation status more than non-transfer students who were broadly distributed in the low occupation status. Second, it was revealed the college transfer was highly effective for the occupation status, which appeared statistically significantly. The explanation variable that appeared significantly outside of that included the parents' academic background, major affiliation, employment pattern, major job coincidence, and job coincidence. The higher students' academic background was, the higher the occupation status was and in case of the engineering natural science affiliation, the occupation status was higher than the humanities social science. In case of full-time workers, their occupation status was higher than one of part time workers and it was revealed the occupation status was high when the their major coincided with the job and their educational/technical level coincided with their job.

• Asia pacific journal of information systems
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• v.7 no.1
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• pp.49-66
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• 1997

Matching individual career desire and career path is desirable for individual motivation and organizational effectiveness. Some studies reported that major career orientations of MIS personnel are technical and managerial orientation. Furthermore, dual ladder system is based on the same notion above. However, subsequent research conclusions of this issues have been contradictory. Mnwhile, past studies on the work value of MIS personnel are mainly concentrated on the differences between MIS personnel and other occupations. To date, the study on the differences in the values of job factors between major career orientations is rare. The purpose of this study is to find out major career orientation of Korean MIS personnel and the differences of values of job factors between major orientations. The research result is two conclusions. First, major career orientations of Korean MIS personnel are technical and managerial orientation. Second, both group do not have different values about job property related factors, but managerial orientation group gives high values to the some organization related factors such as company policy, responsibility, authority, salary level and opportunity of promotion.

• Journal of Information Technology Services
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• v.17 no.4
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• pp.37-52
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• 2018

With the increasing severity of the shortage of highly-skilled IT personnel, more and more attention is being paid to the professional career path and systematic career management of IT employees. Although some studies have been conducted to describe the current status of IT personnel, limited attempts have been made to analyze the career paths or career patterns of IT professionals from a longitudinal perspective. In this context, this study explored the job career patterns of IT professionals in Korea and examined their relationship with subjective and objective career success. To identify job career patterns over time, detailed information about jobs and positions were used and an optimal matching analysis (OMA) was conducted to calculate the dissimilarity matrix between employees' career sequences, while a cluster analysis was used to categorize the meaningful groups based on this dissimilarity data. This analysis revealed that career patterns among Korean IT personnel are more varied than previously thought. These career types have a significant relationship with individual profiles, such as age, education, industry and company size, and account for significant variations in the three main career success variables, i.e. quality of life, assessment of software quality, and wage level. It is expected that the findings of this study will contribute to refining the Korean career path so as to retain IT personnel, and raise the need to improve the low quality of life and poor SW work environment of IT personnel.

• Journal of Information Technology Applications and Management
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• v.31 no.1
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• pp.79-95
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• 2024

In modern society, as data plays a crucial role at the levels of businesses, industries, and nations, the utilization of data becomes increasingly important. Consequently, governments are prioritizing the development and implementation of plans to cultivate data workforce, viewing the data industry as a cornerstone of national strategy. To enhance domestic capabilities and nurture workforce in the data industry, it is deemed necessary to conduct an objective comparative analysis with major foreign countries. Therefore, this study aims to analyze cases of domestic and international data industries and explore methods for quantitatively comparing data industry workforce across nations. Initially, the study distinguishes between "data industry workforce" and "data job-related workforce," particularly focusing on professionals handling data-related tasks. Subsequently, it compares the workforce sizes of data job-related workforce across nations, utilizing standardized occupational classification codes based on the International Standard Classification of Occupations(ISCO). However, it should be noted that countries employing their own unique occupational classification systems often require matching job titles with similar meanings for accurate comparison. Through this study, it is anticipated that policymakers will be able to establish future directions for cultivating data workforce based on comparable status.

• Journal of Information Technology Services
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• v.19 no.1
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• pp.103-112
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• 2020

Job seekers are making various efforts to find a good company and companies attempt to recruit good people. Job search activities through self-introduction essay are nowadays one of the most active processes. Companies spend time and cost to reviewing all of the numerous self-introduction essays of job seekers. Job seekers are also worried about the possibility of acceptance of their self-introduction essays by companies. This research builds a classification model and conducted an experiments to classify self-introduction essays into pass or fail using deep learning and decision tree techniques. Real world data were classified using stratified sampling to alleviate the data imbalance problem between passed self-introduction essays and failed essays. Documents were embedded using Doc2Vec method developed from existing Word2Vec, and they were classified using logistic regression analysis. The decision tree model was chosen as a benchmark model, and K-fold cross-validation was conducted for the performance evaluation. As a result of several experiments, the area under curve (AUC) value of PV-DM results better than that of other models of Doc2Vec, i.e., PV-DBOW and Concatenate. Furthmore PV-DM classifies passed essays as well as failed essays, while PV_DBOW can not classify passed essays even though it classifies well failed essays. In addition, the classification performance of the logistic regression model embedded using the PV-DM model is better than the decision tree-based classification model. The implication of the experimental results is that company can reduce the cost of recruiting good d job seekers. In addition, our suggested model can help job candidates for pre-evaluating their self-introduction essays.

• 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.

• Journal of the Economic Geographical Society of Korea
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• v.9 no.3
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• pp.396-409
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• 2006

In this paper, first I try to sketch the changing Japanese labor market after 1990s, and then examine the so-called "Job $Caf{\acute{e}}$ program" in detail, which was initiated in 2004 by central and local governments to help young people fine suitable jobs, and finally investigate the possible direction for future labor policy as an important tool for revitalize the local economy. Latter half of 1990s witnessed the high unemployment rate among the population aged twenties in Japan, and the number of 'shinsotsu-mugyo', i.e. population not at work after completing high school or university, NEET (not in employment, education or training) and 'freeters' have grown rapidly. "Job $Caf{\acute{e}}$ program" was initiated as a public response to the increased youth unemployment, aiming at assisting young people's transition from education to career. In the Job $Caf{\acute{e}}$ program, job information service by MHLW, information service for high school students and university students by MEXT, placement service of career internship by METI are integrated into one service, and are provided by local government initiative, therefore named as "one stop service of employment". Although it is highly appreciated for one stop service, the Job cafe program has criticized for paying too much attention to the performance of projects, such as the number of users, and the number of successful job matching. At the final section of the paper, more practical spatial unit for executing effective regional plan on local employment and more empirical research on job search behavior are discussed.

• Journal of Fashion Business
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• v.19 no.5
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• pp.188-198
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• 2015

This study analyzed the qualifications necessary and manpower required in the Jeju nail art and make-up industry. We aimed to investigate the relationship between NCS education and national technical qualifications. For this study, 164 participants were given a questionnaire, and the collected data were analyzed via frequency analysis and multiple regression analysis using SPSS Ver. 18.0. The results of this study are as follows: 1. Matching job seekers with available positions was more difficult in nail art businesses than in makeup businesses. The main routes by which practitioners found jobs were Internet job sites and acquaintances. In addition, experience was the first consideration in hiring employees. 2. Those in high positions had less intention of employing students who had received NCS education, than those in lower positions. Intention to employ NCS graduates was high in businesses that found their employees through Internet job sites, vocational training institutes, acquaintances, or colleagues. Nail art workers prioritized NCS educational units in the following order: nail care, nail shop hygiene, gel nails, cosmetic nail removal, and tips/wraps. Makeup workers had the following priorities: basic makeup, wedding makeup, makeup shop safety, and hygiene management. They also mentioned basic occupational skills such as communication skills, interpersonal skills, and problem solving skills. Moreover, the new national licensing system was found to reflect competency in the most important skill sets.