• Fashion & Textile Research Journal
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• v.24 no.3
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• pp.325-332
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• 2022

The purpose of this study is to provide basic data for career guidance to cosmetology students by examining the effects of job stress on career decisions and job preparation behaviors. Overall 214 parts were empirically analyzed as final samples. Collected data and statistical processing are based on SPSS ver. Analysis was performed using the 21.0 program. An analysis of the effect of job stress on career decision showed that employment anxiety (β= .206, p<.05), job anxiety(β=.824, p<.05), and anxiety in career search(β=.118, p<.05) showed a statistically significant effect(+). However, employment concerns(β=-.312, p<.001) in career determination and employment concerns(β=-.223, p<.01) in career search are statistically significant parts(-). An analysis of the effect of employment stress on employment preparation behavior found that employment anxiety(β=.364, p<.05) has a statistically significant effect(+) on information use preparation, It was found that the statistically significant part(-) affects employment anxiety(β=-.188, p<.01). The study found that the more anxious cosmetology students are about employment, the more they plan and explore career options, and make information-based preparations for employment. Through this research, we hope that there will be lively discussions among cosmetology students on career adaptability, life satisfaction, and employment anxiety.

• 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.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.5
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• pp.493-506
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• 2018

This paper proposes the OOPP(Optimized Online Portfolio Platform) design for the job seekers to search for the job competency necessary for employment and to write and manage portfolio online efficiently. The OOPP consists of three modules. First, JDCM(Job Data Collection Module) stores the help-wanted advertisements of job information sites in a spreadsheet. Second, CSM(Competency Statistical Model) classifies core competencies for each job by text-mining the collected help-wanted ads. Third, OBBM(Optimize Browser Behavior Module) makes users to look up data rapidly by improving the processing speed of a browser. In addition, The OBBM consists of the PSES(Parallel Search Engine Sub-Module) optimizing the computation of a Search Engine and the OILS(Optimized Image Loading Sub-Module) optimizing the loading of image text, etc. The performance analysis of the CSM shows that there is little difference in accuracy between the CSM and the actual advertisement because its data accuracy is 99.4~100%. If Browser optimization is done by using the OBBM, working time is reduced by about 68.37%. Therefore, the OOPP makes users look up the analyzed result in the web page rapidly by analyzing the help-wanted ads. of job information sites accurately.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.6
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• pp.337-343
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• 2006

The Stack Resource Policy (SRP) is a real-time synchronization protocol with some distinct properties. One of such properties is early blocking; the execution of a job is delayed instead of being blocked when requesting shared resources. If SRP is used with dynamic priority scheduling such as Earliest Deadline First (EDF), the early blocking requires that a scheduler should select the highest-priority job among the jobs that will not be blocked, incurring runtime overhead. In this paper, we analyze the runtime overhead of EDF scheduling when SRP is used. We find out that the overhead of job search using the conventional implementations of ready queue and job search algorithms becomes serious as the number of jobs increases. To solve this problem, we propose an alternative data structure for the ready queue and an efficient job-search algorithm with O([log$_2n$]) time complexity.

• Industrial Engineering and Management Systems
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• v.8 no.4
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• pp.239-246
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• 2009

This paper deals with the makespan minimization problem of job shops. The problem is known as one of hard problems to optimize, and therefore, many heuristic methods have been proposed by many researchers. The aim of this study is also to propose a heuristic scheduling method for the problem. However, the difference between the proposed method and many other heuristics is that the proposed method is based on depth-first branch and bound, and thus it is possible to find an optimal solution at least in principle. To accelerate the search, when a node is judged hopeless in the search tree, the proposed flexible branch and bound method can indicate a higher backtracking node. The unexplored nodes are stored and may be explored later to realize the strict optimization. Two methods are proposed to generate the backtracking point based on the critical path of the current best feasible schedule, and the minimum lower bound for the makespan in the unexplored sub-problems. Schedules are generated based on Giffler and Thompson's active schedule generation algorithm. Acceleration of the search by the flexible branch and bound is confirmed by numerical experiment.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.2
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• pp.19-29
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• 2015

The purpose of this study is to suggest the grid search method for selecting an optimal decision tree model. It chooses optimal values for the maximum depth of tree and the minimum number of observations that must exist in a node in order for a split to be attempted. Therefore, the grid search method guarantees building a decision tree model that shows more precise and stable classifying performance. Through empirical analysis using data of job satisfaction of workplace reserve force commanders, we show that the grid search method helps us generate an optimal decision tree model that gives us hints for the improvement direction of labor conditions of Korean workplace reserve force commanders.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.169-175
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• 2001

It is not easy for business workers to find proper information for his job, because of the following problems:(1) information exist in various information system both internal and external with diverse formats(2) he cannot estimate relevance of all the information and (3) he cannot select proper information among large volume of information. The requirements for the systems are the following things:(1) search of relevant information from various internal and external information systems(2) proving an integrated view of information for workers, and (3) information processing and decision-making are seamlessly integrated fro business workers. We proposed an agent system to fulfill the requirements. We focus on the purchasing job, and developed a prototype system. PIPA(Purchasing Information Process Agent). The PIPA performs not only information processing jobs(information search gathering, display, business form -making)but also decision-making support job (evaluation of supplier candidates, and apply of sourcing policy) for sourcing manager. The framework of the PIPA can be appled to other information processing and desision-making jobs.

• Journal of Families and Better Life
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• v.11 no.1
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• pp.12-21
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• 1993

This Study focused on consumer information search and consumer satisfaction according to product characteristics and sex. For these purpose a survey was conducted using questionaires on 225 males 299 females that lived in Seoul. Statistics used for data were Frequency. Prequency. Percentile Mean Multiple Regression Analysis and Path Analysis. The major findings were: 1) I male Group reference orientation were effect on convenience experience credience goods and information search were effect on experience credience goods. 2) In Femal Group her job and information search effect on convenience experience credience goods and involvement effect on credience goods only.

• Journal of Korean Academy of Nursing
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• v.37 no.5
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• pp.810-821
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• 2007

Purpose: This study investigated job stress and coping of ICU Nurses. Method: Data was accumulated from 206 ICU nurses serving at least more than one year in 500 bed order hospitals during the period of three months from June1, to August 30, 2006. Results: The average job stress was $2.96{\pm}.95$ points, which was relatively high. The average coping was $2.55{\pm}.23$ points. Conclusion: The extent of the job stress of ICU nurses was relatively high, and they received the heaviest stress from job circumstances. For the prevention of job stress, every effort is required to analyze the causes of stress caused by job circumstances and to pose an appropriate solution. Meanwhile, job stress, needs to be controlled using a solution for the central problem, and search for social support.

• The Journal of Industrial Distribution & Business
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• v.10 no.5
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• pp.27-36
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• 2019

Purpose - Naver has emerged as a new leader in the open market. While existing open markets such as Gmarket, 11th Street, and so on are suffering from profitability deterioration, Naver is attracting sellers based on low commission and powerful search engine. We would like to analyze the impact of Naver shopping on the national economy, especially on employment, in a situation where the market reaction to Naver's strength as a leader in online shopping is mixed. Research Design, Data, and Methodology - Through the demand inducing inter-industry analysis, we estimate the employment inducement effect by Naver shopping from its shopping transaction. In turn, through the supply inducing inter-industry analysis, we estimate the employment inducement effect by Naver shopping from its low commission and powerful search engine. For the purpose of inter-industry analysis, as of 2018, the most recently announced 2014 inter-industry table (extension table) from the Bank of Korea is used. Results - The results of this study are as follows. First, Naver Shopping is expected to generate 7.8 trillion won's trade in 2018, resulting in 244,225 of job inducement, and 158,598 of employment inducement. In addition, Naver Shopping is estimated to benefit KRW 213 billion to its sellers due to low commission and powerful search function, resulting in 8,667 of job inducement, and 5,655 of employment inducement. Second, in terms of job inducement and employment inducement due to Naver Shopping's trade, transportation, business support service, information and communication, broadcasting, restaurants and lodging were ranked. Third, in terms of job inducement and employment inducement due to Naver Shopping's low commission and powerful search function, restaurants and hospitality, f/b and cigarette manufacturing, construction, and transportation equipment manufacturing were ranked. Conclusions - The number of job inducement resulting from low commission and powerful search engine of Naver shopping in 2018 was 8,667 (3.7% of 244,225, which was caused by transaction in Naver shopping in 2018), and employment inducement was 5,655 (3.7% of 158,598, which was caused by transaction in Naver shopping in 2018), which can be considered as additional employment impacts of Naver Shopping compared to the other online shopping operators.