• Journal of the Economic Geographical Society of Korea
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• v.22 no.3
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• pp.337-350
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• 2019

The Gwangyang City of Jeonnam Province, is one of the steel cities representing the Korea. Gwangyang Steelworks are the core of the local economy, and 59 firms of POSCO Outsourcing Partner Cooperation(POSPA) have been employed 9,300 to 9,500 peoples, and have been acted as an central incubator for job creation. POSPA, however, are suffering from the retirement of company in young age group, in their 20s and 30s. The purpose of this study is to analyze potential job seekers' perceptions and job preferences for POSPA are suffering from job openings. In order to this research purpose, it used questionary survey, and sample groups were divided into three areas, the Eastern Jeonnam Province, Gwangju, and the Seoul metropolitan area. Potential job seekers' perceptions for POSPA was low, and perceptions on firm and job opportunity information was lower. This characteristics were the same as those of respondents living in eastern South Jeolla Province. Potential job seekers, however, showed high preference for finding job at POSPA. A place-based policy considering the local labor market is needed to resolve the mismatch between the difficulty of finding a labor and the difficulty of finding a job.

• Journal of the Korea Society of Computer and Information
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• v.24 no.11
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• pp.143-152
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• 2019

In this study, the author seeks to identify the status of the online job information service market and present strategic guidelines to maintain the market ecosystem based on it. The research method was carried out as a descriptive study to identify the online job information service market by utilizing various secondary data. Specifically, the market analysis identified the high potential growth rate of the job information service market and key issues. Industry trend analysis analyzed key service features, job seeker types and features, service use trends, promotion and marketing methods. Finally, through SWOT analysis of the market, strategic guidelines were proposed to lead the market ecosystem into a virtuous circle. In the first place, these findings will help us gain a comprehensive view of the market by identifying the status of the job information service market with a focus on the main issues. It may also provide companies in the industry with the necessary clues to their continued survival within the industry. Furthermore, the government and public organizations are expected to contribute to boosting the job information service market with the aim of creating and improving jobs.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.81-95
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• 2016

This study aims to introduce a new approach to make up for the weak points in small business, to explore views of the small business employees and job-seekers on the basis of Q-Methodology. From the Q-methodology, the types of perception toward small business and their features from diverse views were drawn. The data from 33 participants were analyzed by using QUANL-PC program. The perception types were classified as four types: positive perception type, negative perception type, high evaluation about utilitarian pursuit type, neutral evaluation type. The results found that views toward small business are more positive than previous findings and perceptions were diverse beyond the dichotomy. Hence, to mitigate job mismatch, small business recruiting strategy should be provided based on diverse job-seeker types.

• 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.