• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.187-192
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• 2022

This research focuses on analyzing the correlation between adolescent self-esteem and labor participation. The findings of this study are as follows: First, when it was analyzed whether there are differences in self-esteem with ages, out of school students were the lowest. and self-esteem level increased with age. Second, when the differences in self-esteem levels between genders were examined, male students showed slighty higher positive self-esteem and total self-esteem, which shows statistically significant difference. Third, the correlation between self-esteem and labor participation is as follows: 50.4% of students experienced part-time jobs in low self-esteem group. And 50.6% of students experienced part-time jobs in high self-esteem group. It shows that self-esteem level doesn't have relation to part-time job experience. Fourth, when the correlation between part-time job intention and self-esteem was analyzed, 50.5% of students in low self-esteem group responded they would have part-time job, but 49.5% of students in high self-esteem group. Also, 50.9% of low self-esteem group students responded they had no intention of getting part-time jobs, but 49.1% in high self-esteem group. It shows self-esteem level doesn't influence the decision to get part-time jobs. Last, the correlation between the reason they get part-time jobs and self-esteem level was analyzed. 68.1% of students in low self-esteem group had part-time jobs voluntarily, while 31.9% had to have jobs involuntarily for economic cause. Also 75.2% of students in high self-esteem group had part-time jobs for voluntary motive and 24.8% for economic cause. So high self-esteem group showed more voluntary cause and low involuntary cause for part-time jobs, but there was no statistically significant value.

• Journal of Labour Economics
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• v.38 no.3
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• pp.53-95
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• 2015

This paper first constructs an occupation code-skill match for the Korean labor market by following Autor-Dorn classification on the tasks framework. Over the last 34 years, middle-skill jobs have vanished enormously, while high-skill and low-skill jobs have both increased. Also, jobs have polarized more rapidly in recessions and changed uniquely by pushing old workers into middle and low-skilled jobs and the inter-sector reallocation of workers. Furthermore, jobless recoveries in the recent business cycle could have been alleviated considerably if job polarization had been mitigated.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.3
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• pp.101-109
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• 2008

This paper considers an integrated decision for scheduling and outsourcing(or, subcontracting) of a finite number of jobs(or, orders) in a time-sensitive make-to-order manufacturing environment. The jobs can be either processed in a parallel in-house facilities or outsourced to subcontractors. We should determine which jobs should be processed in-house and which jobs should be outsourced. And, we should determine the schedule for the jobs to be processed in-house. If a job is determined to be processed in-house, then the scheduling cost(the completion time of the Job) is imposed. Otherwise(if the job should be outsourced), then an additional outsourcing cost is imposed. The objective is to minimize the linear combination of scheduling and outsourcing costs under a budget constraint for the total available outsourcing cost. In the problem analysis, we first characterize some solution properties and then derive dynamic programming and branch-and- bound algorithms. An efficient heuristic is also developed. The performances of the proposed algorithms are evaluated through various numerical experiments.

• Korean Journal of Occupational Health Nursing
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• v.26 no.1
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• pp.55-64
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• 2017

Purpose: This study was performed for the effective management of nursing organization as surveyed choice motives and job satisfaction about nurses who changed to public hospitals. Methods: This study is a descriptive study. This study surveyed 214 nurses who changed jobs to public hospital in six Gyeonggi-do hospitals from October 23 to November 20, 2015. The collected data were analyzed for descriptive statistics, t-test, one-way ANOVA, sheffe test, multiple linear regression analysis using the SPSS/WIN 21.0 program. Results: Most of the nurses chose public hospitals due to benefits correspond to public officials. They had worked in general hospitals located on provinces and changed jobs due to a heavy workload and low benefits. Of the participants 84.1% were satisfied with changing jobs to public hospitals and the advantages of public hospitals of their choice were job stability and good employee benefits(guaranteed maternity and paternity leave, etc). On the other hand there were complaints about low salaries compared to the workload after changing jobs to public hospitals. Conclusion: Hospitals need to enhance job stability and provide nurses with good employee benefits to reduce turnover rate.

• Journal of the Korean Data and Information Science Society
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• v.22 no.2
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• pp.313-322
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• 2011

To enhance employment rate of students, every college provides various methods, such as consulting, information provision, course and mock interview. Students also are trying to get high GPA scores, to achieve certificates and to enhance english ability for getting jobs. We analyzed the relations self-confidence in getting jobs, college supports, students preparation for getting jobs and job-seeking stress via structural equation modelling. We found that college supports increase students preparation for getting jobs and job-seeking stress lessens self-confidence in getting jobs.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.4
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• pp.106-113
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• 2011

Human resource theories of becoming entrepreneurs or self-employed rather than finding employment are compared as applied to fit the occupational data of technological entrepreneurs and technology jobs. The human capital theory posits that technological entrepreneurs are prepared to become a jack-of-all-trades with a variety of fields of education. Hobo theory of entrepreneurship assumes that entrepreneurs have strong taste against concentrating on a few activities, which tend to drive entrepreneurs away from employed jobs depressing their expected income. Another theory assumes that entrepreneurs have some unobserved productive qualities and abilities over employed people. Immigrant entrepreneurs could presumably be pressured out of employment under racial discrimination. Since technology jobs are mostly filled by those educated in the science and technology fields, and they presumably offer great reward to professional concentration, technological entrepreneurs may not benefit from becoming jacks-of-all-trades compared to finding employment in technological jobs income-wise. Asian immigrants in the 2000 US Census data are compared to white immigrants in technological jobs to test alternative human resource theories of entrepreneurship. Using English language ability as a proxy for the variety of education, I find in the white immigrant technological entrepreneurs support for the jack-of-all-trades theory, while in the Asian immigrant technological entrepreneurs hobo theory is supported. In the Asian technological workers only there appears the significant self-selection or comparative advantage component, while at the same time discriminatory components are significant.

• Journal of the Korea Society of Computer and Information
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• v.18 no.8
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• pp.9-15
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• 2013

As the resources of cloud computing are essentially heterogeneous and jobs have various characteristics, resource allocation to jobs is one of important problems. We define this issue as a multi-criteria decision-making problem. This paper proposes a priority-based job scheduling algorithm based on analytic hierarchy process (AHP). On the first step, jobs are classified based on their preferences. On the second step, response time, system utilization, and load becomes decision criteria based on the AHP algorithm. Jobs are allocated to adequate resources through their priorities that are calculated by the AHP algorithm. Through analysis and experiment of the proposed algorithm, we are to confirm that the scheme can schedule jobs as well as utilize its resource efficiently.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.223-229
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• 2022

LinkedIn is one of the most job hunting and career-growing applications in the world. There are a lot of opportunities and jobs available on LinkedIn. According to statistics, LinkedIn has 738M+ members. 14M+ open jobs on LinkedIn and 55M+ Companies listed on this mega-connected application. A lot of vacancies are available daily. LinkedIn data has been used for the research work carried out in this paper. This in turn can significantly tackle the challenges faced by LinkedIn and other job posting applications to improve the levels of jobs available in the industry. This research introduces Text Processing in natural language processing on datasets of LinkedIn which aims to find out the jobs that appear most in a month or/and year. Therefore, the large data became renewed into the required or needful source. This study thus uses Multinomial Naïve Bayes and Linear Support Vector Machine learning algorithms for text classification and developed a trained multilingual dataset. The results indicate the most needed job vacancies in any field. This will help students, job seekers, and entrepreneurs with their career decisions

• Journal of applied mathematics & informatics
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• v.2 no.2
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• pp.21-46
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• 1995

Congestion and memory occupancy in computer system may be reduced further if new jobs are admitted only when the num-ber of jobs queued at CPU is below CPU run queue cutoff (RQ). In this paper we prove that response time of a job is invariant with respect to RQ if jobs do not communicate each other. We also demonstrate this invariance property numerically using marix-geometric methods and present an approximate method for the delay due to context switch-ing under time slicing. The approximation suggests that time slicing with constant overhead yields a throughput similar to an FCFS system without overhead.

• Culinary science and hospitality research
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• v.10 no.2
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• pp.38-58
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• 2004

The purpose of this study is to show how to increase customers' satisfaction of the food service enterprise by examining degree of customers' satisfaction with food quality on the basis of the responses of cooks in top-level hotels in Seoul and their customers. The results of this study shows that cooks of hotels who were more satisfied with their jobs work better and cook better foods than cooks who were not satisfied with their jobs. Thu, food quality of hotels whose cooks were more satisfied with their jobs was better evaluated by their customers.