• 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 Korean Society of Industrial and Systems Engineering
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• v.36 no.2
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• pp.63-73
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• 2013

Nowadays, the human resources of an organization are very important in order to survive in competitive business environment. This study investigates the influence of four decision-making styles in Myer-Briggs Type Indicator (MBTI) and working conditions on organizational effectiveness. Job satisfaction and immersion have been regarded as key conceptions of organizational effectiveness. The result of this study has shown that organizational effectiveness are influenced by personality types and working conditions. Based on the result, an enterprise must provide working conditions which are conducive and suitable for all decision-making styles. For ST-type, the composition of good relationship with superiors, clear organization's visions and goals and rewarding compensation on original idea contribution need to be provided. On the other hand, autonomic authority and job assistance in co-worker are more suitable for NT-type. Finally, in the case of SF-type, the organization must give job assistance in co-worker.

• The Transactions of the Korea Information Processing Society
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• v.2 no.5
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• pp.768-776
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• 1995

In a distributed computer system with star topology, the processing power of central node may be greater than that of peripheral nodes and the job arrival rate of each node may be different. The performance of load balancing may be very different according to the selection of sender criteria and receiver criteria for job transfer. But the optimal decision of sender and receiver criteria is very difficult in heterogeneous distributed computer systems. In this paper we propose effective destination decision policies using dynamic criteria such as mean job response time of a node and estimated response time of a job, instead of fixed threshold for dynamic load balancing.

• Journal of the Korean Data and Information Science Society
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• v.23 no.2
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• pp.333-342
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• 2012

This study is conducted to see if college students' career identity and career decision-making self-efficacy affect job-seeking stress and if these three factors have influence on career maturity. Data is collected from 259 college students enrolled in three universities in Daegu. The results show that career identity and career decision-making self-efficacy both have negative direct effects on job-seeking stress and positive indirect effects on career maturity. It is also found that job-seeking stress has a negative direct effect on career maturity.

• Korean Journal of Adult Nursing
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• v.27 no.1
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• pp.63-72
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• 2015

Purpose: The aim of this study was to determine whether job-seeking stress, career decision-making self-efficacy, self-esteem, and academic achievement had an influence on nursing students' happiness. Methods: The participants were 147 nursing students in D city. Data were collected with a structured questionnaire. The data were analyzed with SPSS/WIN 19.0 using ANOVA, t-test, Pearson correlation, and stepwise multiple regression. Results: Factors that had an influence on happiness included major satisfaction(highly unsatisfied ${\beta}=-.251$, p=.001), average monthly family income(between four and six million won ${\beta}=.222$, p=.002), career decision-making self-efficacy(${\beta}=.198$, p=.010), major satisfaction(satisfied ${\beta}=.196$, p=.006), and subjective health(unhealthy ${\beta}=-.167$, p=.020). These factors explained 33.5% of the variance in student happiness. Conclusion: The results of this study reveal that career decision-making self-efficacy, self-esteem, major satisfaction, and job-seeking stress were important intrinsic factors in the happiness of nursing students. Thus, it is necessary to help these students attain more self-efficacy, self-esteem, and major satisfaction rather than focusing on academic achievement in order to increase their happiness.

• International Journal of Computer Science & Network Security
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• v.23 no.7
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• pp.71-78
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• 2023

Employee turnover is one of the most important challenges facing modern organizations. It causes job experiences and skills such as distinguished faculty members in universities, rare-specialized doctors, innovative engineers, and senior administrators. HR analytics has enhanced the area of data analytics to an extent that institutions can figure out their employees' characteristics; where inaccuracy leads to incorrect decision making. This paper aims to develop a novel model that can help decision-makers to classify the problem of Employee Turnover. By using feature selection methods: Information Gain and Chi-Square, the most important four features have been extracted from the dataset. These features are over time, job level, salary, and years in the organization. As one of the important results of this research, these features should be planned carefully to keep organizations their employees as valuable assets. The proposed model based on machine learning algorithms. Classification algorithms were used to implement the model such as Decision Tree, SVM, Random Frost, Neuronal Network, and Naive Bayes. The model was trained and tested by using a dataset that consists of 1470 records and 25 features. To develop the research model, many experiments had been conducted to find the best one. Based on implementation results, the Neural Network algorithm is selected as the best one with an Accuracy of 84 percents and AUC (ROC) 74 percents. By validation mechanism, the model is acceptable and reliable to help origination decision-makers to manage their employees in a good manner.

• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.109-117
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• 2019

This study analyzed the effects of social support and career decision self-efficacy that can have effects on career based on career-interrupted women's perception on career preparation behaviors and mediating effects of the career decision self-efficacy. This study surveyed 227 career-interrupted women who participated in job training or registered for job searching in woman employment support organizations using a self-reported type questionnaire. The results are presented: First, social support was found to have a significant correlation with career decision self-efficacy and career preparation behavior. Second, discovered that emotional support as sub-factors of social support had a significant effect on career preparation behaviors. Third, discovered that goal setting and job information as sub-factors of career decision self-efficacy had a significant effect on career preparation behaviors. Fourth, career decision self-efficacy, there was a partial mediating effect between social support and career preparation behaviors. The results presented above suggested that in respect to career guidance for career-interrupted women, a focus should be given to psychological aspects than technological.

• Research in Community and Public Health Nursing
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• v.10 no.2
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• pp.387-399
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• 1999

The purpose of this study is to identify the relationships of job stressor. coping strategies. and stress responses of manufactoring workers. Data were collected through self-reported questionnaires from 262 of the manufacturing workers in a local electronic company from July to August. 1999. For data analysis. Cronbach's a. Factor Analysis. Descriptive statistics. ANOVA. and Pearson's correlation coefficient with SPSS/PC+ 7.5 version program were used. The results were as follows: 1. Regard to the stress responses and coping strategies by sociodemographic variables. 'the overall stress responses' showed significant differences by sex. age. marrital state. The use of 'control coping strategy' showed significant differences by sex and the type of work. The use of 'avoid coping strategy' showed significant differences by sex. age. married state. year of career. and income. 2. The average scores of 'the job characteristics and participation in decision making factor'. 'the physical environmental factor'. and 'the role and leadership factor' were 2.66. 2.59. 2.59 in order. The average scores for 'the avoid coping strategy' and 'the control coping strategy' were 3.03. 2.97. The average scores for 'the overall. psychosoical. and physical stress responses' were 2.18. 2.18. 2.23. 3. The 'control coping strategy' was negatively related to 'the job characteristics and participation in decision making factor'. 'the role and leadership factor'. 'the psychosocial stress responses'. and 'the overall responses'. 'The control coping strategy' was positively related to all of 'the job stressors'. 'the physical stress responses', and' the overall stress responses'. 'The physical environment factor' was positively related to all of 'the stress reponses'. 'the role and leadership factor'. and 'the job characteristics and participation in decision making factor'. According to the results of this study, the suggestions were as follows: 1. The coping strategies of manufacturing workers in the specific job stress situation should be considered to future studies. 2. In order to applying the stress management program in the workplace. The organizational intervention focused on 'the job characteristics and participation in decision making' will be needed. 3. To support and use of 'control coping strategy' of the workers. the organizational efforts should be required.

• Journal of Families and Better Life
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• v.7 no.2
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• pp.163-178
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• 1989

This study was mainly concerned providing a basic of data for the more reasonable home management. The purpose study was to investigate the relationship of husbands and wives self-actualization and degree of joint decision-making. For the purpose of this study 500 questionaire were distributed to the marital in seoul. The 412 data were analized by Frequency, Percentage, T-test, ANOVA, Scheffe-test. The major findings of this study were as follows: 1) Over one and half of husbands and wives are try to be self-actualized. 2) The tendency of the husbands and wives decision-making was joint decision-making. 3) The important influential variables on the husbands and wives self-actualization husbands were age, life-cycle, job employment motivation. And wives were life-cycle, education, income, job, employment motivation. 4) The important influential variables on the joint decision-making were age, number of child, life-cycle. 5) A marital joint decision-making level differs significantly, according to the degree of husbands and wives self-actualization. The higher level of husbands and wives self-actualization, the higher degree of marital joint decision-making. The result of this study implies that a marital joint-making necessary in order to carry on happy home management and the reasonable home administration.

• Journal of Korean Home Economics Education Association
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• v.25 no.1
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• pp.55-66
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• 2013

The purposes of this study were to examine major satisfaction and career decision level of Home Economics Education major college students, to investigate factors influencing on major satisfaction and career decision level, and to provide basic informations for career counseling. A survey was conducted to students majoring Home Economics Education at four universities, and students majoring Korean Language Education and Mathematics Education at one same university in Seoul from October to November, 2011. General satisfaction in major of Home Economics Edu. students was above average, but social perception satisfaction was low. The social perception satisfaction was lower for Home Economics edu. students than Korean Language edu. and Mathematics edu. students. There were significant differences in major satisfaction by university and class standing, but no significant difference by gender. Students showed the lowest value in Home Economics teacher as considering job, and most of students considered teacher and major unconcerned job. Students considering major concerned job showed higher major satisfaction compared to students considering major unconcerned job. Career decision level was medium and there were not significant differences in career decision level by major, university, class standing, gender, considering job. Career decision level was affected positively by only general satisfaction in major.