• Journal of the Korean Society of Costume
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• v.50 no.5
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• pp.77-90
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• 2000

The purpose of this study is to disclose the dimension of job characteristic, working place situation. and clothes selection, which are variable on clothes selection, to research the relation of job characteristic, working place situation, and clothes selection and to disclose the feature of consumers by each group in accordance with job characteristic. The follows are summary of this study result : The concept structure of job characteristic is composed by four types. Working place situation related with clothes selection are consisted of five types. Professional women selected clothes in accordance with nine feature. Job characteristic is related with working palace situation and influences on clothes selection. The persons influenced by activity state regarded personality as important when select clothes. The persons influenced by duty state regarded harmony and control as important, instead of, they ignored conformity. People select occupation according to individual feature, so the feature of consumers, working place environment, working place situation are different in accordance with job characteristic, as a result we can find differences in clothes selection suitable for working palace and purchasing.

• Journal of the Korean Operations Research and Management Science Society
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• v.17 no.3
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• pp.1-12
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• 1992

Parallel Genetic Algorithms (GAs) are developed to solve a single machine n-job scheduling problem which is to minimize the sum of absolute deviations of completion times from a common due date. (0, 1) binary scheme is employed to represent the n-job schedule. Two selection methods, best individual selection and simple selection are examined. The effect of crossover operator, due date adjustment mutation and due date adjustment reordering are discussed. The performance of the parallel genetic algorithm is illustrated with some example problems.

• Journal of Korea Technology Innovation Society
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• v.14 no.1
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• pp.22-39
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• 2011

This study examines the wage level from a viewpoint of major-job match as part of an analysis on the skill mismatch problem in 4-year college graduates. The empirical analysis explicitly incorporate the sample selection bias as an econometric problem not only suggested but merely introduced in the earlier studies. This study also set up a major-job match variable, which was usually handled as a binary variable for analytical convenience, as a polychotomous choice variable in selection equation as provided by the survey. In particular, it considered multi-cohort survey on graduates of the years 1982, 1992, and 2002 for the empirical analysis. As a result of empirical analysis, the wage premium of a major-job match was identified. This result was consistent after the consideration of a sample selection bias and also after modeling the major-job match variable as polychotomously selective. Through an analysis classified by the major, this study identified a relatively high wage premium among Social Science, Engineering, and Science majors. However, there was a difference in the effect of selection among these majors. Also, by assessing cohort effects this study found that the skill mismatch had rapidly progressed in 1992, while difference between 1992 and 2002 cohorts are insignificant. The analysis suggests that wage level is better understood within the context of both sample selection and major-job match, and regardless of model specification the major-job match affects wage strongly.

• Journal of Practical Engineering Education
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• v.9 no.2
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• pp.155-165
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• 2017

This study was conducted to explore differences of major selection regret and reasons by major selection motivation, and differences of college life, employment goal, first job satisfaction among groups by major selection motivation and regret of college graduates. For this study, '2013 Year Graduates Occupational Mobility Survey' of KEIS was examined by cross-tabulation analysis and one-way analysis of variance. The results were as follows: First, in the case of major selection by intrinsic motivation, less regrets were given than extrinsic motivation. Second, the biggest reason of regret was 'difficulty of unemployment' in case of intrinsic motivation and 'not fit in aptitude' in case of extrinsic motivation. Third, there were differences of college life, employment goal, first job satisfaction among four groups by major selection motivation and regret.

• Journal of Engineering Education Research
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• v.9 no.3
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• pp.22-36
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• 2006

This paper is aimed to design for qualification structure and criteria for preparation of qualification test of computer operation engineer. In this study, a DACUM(Development A curriculum) method job analysis to extract contents such as task range, grades or ranks, eligibility, examination standards, selection criteria of examination questions, examination methods, etc was done by an job analysis committee composed of 7 specialists in the industry and academia. In the first place, this report presents job analysis models by procedures for developing selection criteria of examination questions of computer operation engineer. The first step is preparation for job analysis(data research, interviews and selection of experts), the second step the establishment of job models(first expert council and site study), the third step the drawn-out of knowledge, skills, and tools(the second expert council and site study), the fourth step the selection of courses and subjects(the third expert council), the fifth step the establishment of guidelines for making questions(the third site study).

• Journal of Labour Economics
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• v.25 no.1
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• pp.97-129
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• 2002

It is well known that the quality of job match has strong influence on the efficient allocation of labor resources in the economy on the macro level and also on the productivity of individual worker. Regarding this point we assumed that the selection of preferred job at the job entry can be interpreted as a subjective indicator of job match quality and tried to estimate the effects of such selection on the wage level. For this purpose we suggested random effects switching regression model and applied this model to the data of the Korea Labor Institute Panel Study from 1998 to 2000. As the results of estimation, we found that there exists large wage differentials at least more than fifty percent caused by such selection. Considering the fact that such wage differentials can not be suitably explained by the traditional reasons of the wage discrimination, we suggest the possibility that there also exists large productivity gap caused by the job mismatch and the necessity of improving the job placement service activity.

• Korean Management Science Review
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• v.10 no.2
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• pp.145-161
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• 1993

Human Resource Management (HRM) performs numerous activities in organizations including employee recruitment, selection, placement, job analysis, training and development, and labor relations. POSCO (Pohang Steel Company) has concerned with employee management related to job placement and analysis among these activities because of the problems of over-complexity of placement precedures for the variety of recruits, the frequency of selection, a large amount of job descriptions / specifications, and their changes. This study, as a phase of developing the entire HRM systems in the organization, briefly summarizes the preliminary information related and describes an implementation of expert system as a means for effective job placement based on the principle of right-person-in-right-place with identifying aptitudes and personalities of employees. Thus, a new approach for developing a job description/specification using a formal specification language like Z is also proposed. The result of this study will cultivate the performance of personnel, prevent conflicts between labor and management, promote overall productivity of organization, as well as helpfully verify job analysis.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.1
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• pp.9-25
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• 2014

It is very important to select the best employees who are suitable for their jobs and duties as considering the efficiency and productivity of the firms' performance. As a result, many kinds of selection methodologies and systems have been developed. Among them is the selection system based on the core competencies which is known as the superior selection systems that can increase the predictive validity who is the right people, compared to the traditional selection system based on the job analysis. Hence, the former has been focused in the complex business situation in recent years. In this case study, we examine the selection system case based on the core competencies of OSS team in Company A, which is one of the largest telecommunication firms and we suggest the implications. According to the results of this case study, defining the core competencies of the job and selecting the right people who had the related competencies not only decreased the turnover rate of OSS team in Company A, but also increased the employees' loyalty and satisfaction for the organizations. This study will be a benchmark to other departments that don't use competency selection system of Company A as well as the firms that want to adapt the selection system based on the core competencies. Also, this case study has a contribution that shows us an alternative model how can the firms identify and select the best right employees.

• IE interfaces
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• v.12 no.4
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• pp.617-624
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• 1999

In order to maximize an availability of machine and utilization of space, the parallel machines scheduling problem with space limit is frequently discussed in the industrial field. In this paper, we consider a scheduling problem for assembly machine in ship engine assembly shop. This paper considers the parallel machine scheduling problem in which n jobs having different release times, due dates and space limits are to be scheduled on m parallel machines. The objective function is to minimize the sum of earliness and tardiness. To solve this problem, a heuristic is developed. The proposed heuristic is divided into three modules hierarchically: job selection, machine selection and job sequencing, solution improvement. To illustrate its effectiveness, a proposed heuristic is evaluated with a large number of randomly generated test problems based on the field situation. Through the computational experiment, we determine the job selection rule that is suitable to the problem situation considered in this paper and show the effectiveness of our heuristic.

• Journal of KIISE:Computer Systems and Theory
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• v.37 no.3
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• pp.127-137
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• 2010

As large-scale computational applications in various scientific domains have been utilized over many integrated sets of grid computing resources, the difficulty of their execution management and control has been increased. It is beneficial to refer job history generated from many application executions, in order to identify application‘s characteristics and to decide selection policies of grid resource meaningfully. In this paper, we apply a statistical technique, Plackett-Burman design with fold-over (PBDF), for analyzing grid environments and execution history of applications. PBDF design identifies main factors in grid environments and applications, ranks based on how much they affect to their execution time. The effective factors are used for selecting reference job profiles and then preferable resource based on the reference profiles is chosen. An application is performed on the selected resource and its execution result is added to job history. Factor's credit is adjusted according to the actual execution time. For a proof-of-concept, we analyzed job history from an aerospace research grid system to get characteristics of grid resource and applications. We built JARS algorithm and simulated the algorithm with the analyzed job history. The simulation result shows good reliability and considerable performance in grid environment with frequently crashed resources.