• Journal of Families and Better Life
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• v.30 no.2
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• pp.47-64
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• 2012

Purpose of this research is to analyze young job-seekers' preparation for employment process. Participants for the present research include 30 unmarried single males and females in their 20s, who are preparing for employment after graduating four-year colleges. To follow the rule of data triangulation, data includes in-depth personal interviews, field notes, memorandums, coding books, and additional questionnaires. There are 556 abstracted meaning units, 15 subcategories, 11 main categories, and final 5 themes from the data analysis. The result showed that young job-seekers were experiencing a typical cycle of preparation, attempt, failure, slump, and downgrade in job seeking standard. It is also observed that youth unemployment was a persistent phenomenon of vicious circle not easy to overcome. Especially, young job seekers were reported to restructure the perception on employment as they struggle for seeking a job, in particular, at times of experiencing hardship during the job hunting process. The interviewees responded that the possibility of getting a job declines as the job hunting period drags on eventually ending up with applying for a job of lower qualification standard.

• Korean small business review
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• v.43 no.1
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• pp.35-50
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• 2021

The youth job problem is becoming more serious due to COVID-19. To solve this problem, a "good job platform" was proposed that allows young job seekers to easily and conveniently find excellent SMEs they want to work for. This study developed a "good job self-assessment model" that grasps the preferred jobs of young job seekers and evaluates SMEs and applied them in the platform. In this process, the characteristics of good jobs from the viewpoint of job seekers were identified through conjoint analysis from the viewpoint of salary level, performance compensation, working environment, corporate soundness, and organizational culture. Next, the importance of 13 detailed evaluation items was reflected through AHP for industry, academia, and research experts. The self-assessment model of this study can be used as a tool to improve awareness that changes the SME environment into a job favored by young job seekers. As a result, it could provide an opportunity to change the job problem from providing cost-oriented support to a qualitative solution.

• The Journal of Information Systems
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• v.32 no.4
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• pp.229-245
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• 2023

Purpose This study aims to understand the inclinations of young job seekers towards "hidden champions" - small but competitive companies that are emerging as potential solutions to the growing disparity between youth-targeted job vacancies and job seekers. We utilize machine learning techniques to discern the appeal of these hidden champions. Design/methodology/approach We examined the characteristics of small and medium-sized enterprises using data sourced from the Ministry of Employment and Labor and Youth Worknet. By comparing the efficacy of five machine learning classification models (i.e., Logistic Regression, Random Forest Classifier, Gradient Boosting Classifier, LGBM Classifier, and XGB Classifier), we discovered that the predictive model utilizing the LGBM Classifier yielded the most consistent performance. Findings Our analysis of the relative significance of preference determinants revealed that industry type, geographical location, and employee count are pivotal factors influencing preference. Drawing from these insights, we propose targeted strategic interventions for policymakers, hidden champions, and young job seekers.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.292-300
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• 2022

This study aims to improve the situation in which accurate job information for small and medium-sized enterprises is not known and it is difficult to identify jobs that meet the preference criteria from the perspective of the 'employer brand'. To this end, through a hierarchical regression analysis of 700 young job seekers, the factors affecting the intention to get a job centered on five value factors (Interest Value, Social Value, Economic Value, Development Value and Application Value) were identified by reflecting the brand categorization theory. As a result of the analysis, it was confirmed that young job seekers are more interested in work culture, environment, and utilization of their majors, which directly affect job seekers, rather than characteristics of companies such as talent development, products, services, and management, and are influenced by their intention to work. This suggests that the job policy for SMEs needs to be changed from the existing quantitative support-centered to a qualitative improvement that strengthens the use of platform-centered job information.

• 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.

• Korean journal of communication and information
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• v.72
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• pp.7-51
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• 2015

Job seeking for young adults after college in South Korea is much fierce and highly competitive. Many job seekers tend to experience despair, frustration, and insecurity in such a dire social situation. This study focuses on the job seeking experiences of younger generation people by closely examining the self-introduction letters. This work pays keen attention to the narrative strategies and portrayal of the applicants' self-described activities in these forms of letters through a detailed textual and cultural analysis. In doing so, this analysis attempts to contextualize the complex structures of feeling for the part of young job seekers as well as various social factors and pressures that influence on them.

• 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 Practical Engineering Education
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• v.13 no.2
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• pp.351-368
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• 2021

This paper is meaningful in that it empirically studies the good job condition of which young people think and the impact of job search behavior on employment. In addition, employment status and additional job search performance were set as performance variables. The main research results of this study are as follows. First, as for the good job condition considered by young people, wages and salaries in terms of companies, job stability in terms of environment, and work-life balance in terms of individuals were found. Second, job search behavior was found to be a key variable influencing employment status and job search performance. Third, it was found that job-search stress injures employment. Finally, work experience promotes employment and job search performance. Therefore, to increase the employment success rate of young people, above all, various supports for increasing the frequency of young job seekers' active job search behavior are needed. To this end, it suggests that it is necessary to develop a customized youth policy service model and to provide systematic services to meet the needs of young people.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.522-528
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• 2020

The purpose of this study is to improve the reemployment rate of unemployed job seekers aged 50 to 59 by supporting the foundation of our society and enhancing their value of life. We analyzed the impact of resilience, a psychological factor, on job seeking of unemployed people in their fifties. Subjects were visited and provided employment services in the Employment Welfare Plus Center in the Seoul Metropolitan Area. We devised a questionnaire consisting of three variables of general characteristics, resilience, and job search. Also, the resilience variables comprised sub-variables of control, positiveness, and sociality, and the job search variables involved sub-variables of job preparation, attitude, and willness. Study results the resilience of unemployed persons aged 50 to 59 is above average, and sub-variables of positiveness are highest compared to other sub-variables. Second, there is no significant gender difference in resilience for job search activities. Third, resilience and its sub-variables, such as control and affirmation, affect job-seeking activities. Therefore, this study suggests strengthening the resilience of job seekers in their fifties as well as providing psychological counseling and job training for job-seeking activities.