• Title/Summary/Keyword: Job Performance Feelings

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The Effect of Service Quality on Organizational Support and Job Satisfaction in Hotel Industry (호텔기업의 조직지원과 직무만족이 서비스품질에 미치는 영향)

  • Ji, Ke-Yung;Han, Jin-Young
    • Journal of Digital Convergence
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    • v.10 no.10
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    • pp.353-362
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    • 2012
  • The purpose of this study tried to find ways to improve service quality for customers and effective program of organizational support to increase the hotel employees' job satisfaction to empirically analyze causatively impacted relationship between the perceived organizational support, job satisfaction, and service quality in the hotel industry staff recognize. Data were collected from 217 and surveyed from 1 to 30 in November 2011 in hotel. To summarize the results of the study, first, satisfaction of individual job environment, satisfaction of work environment support concerned in support for personal values both was not affected significantly. Second, support for work environment was also affecting more than support for personal worth to improve the quality of customer service and in support for the organization Third, satisfaction of the individual's work environment affected adaptability, conviction, and corporality in job satisfaction variables while support satisfaction for working conditions effected conviction and adaptability without corporality. In order to enhance adaptability to customers who employees serve, it should be created work environment to make employees feel satisfaction in individual's work environment. Therefore, hotel managers have to entertain feelings of loyalty for their hotel and make employees satisfaction with their job and their duty by enhancing support for work environment of hotel employees in order to increase business performance by improving service quality for customers.

Study on the Prediction Model for Employment of University Graduates Using Machine Learning Classification (머신러닝 기법을 활용한 대졸 구직자 취업 예측모델에 관한 연구)

  • Lee, Dong Hun;Kim, Tae Hyung
    • The Journal of Information Systems
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    • v.29 no.2
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    • pp.287-306
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    • 2020
  • Purpose Youth unemployment is a social problem that continues to emerge in Korea. In this study, we create a model that predicts the employment of college graduates using decision tree, random forest and artificial neural network among machine learning techniques and compare the performance between each model through prediction results. Design/methodology/approach In this study, the data processing was performed, including the acquisition of the college graduates' vocational path survey data first, then the selection of independent variables and setting up dependent variables. We use R to create decision tree, random forest, and artificial neural network models and predicted whether college graduates were employed through each model. And at the end, the performance of each model was compared and evaluated. Findings The results showed that the random forest model had the highest performance, and the artificial neural network model had a narrow difference in performance than the decision tree model. In the decision-making tree model, key nodes were selected as to whether they receive economic support from their families, major affiliates, the route of obtaining information for jobs at universities, the importance of working income when choosing jobs and the location of graduation universities. Identifying the importance of variables in the random forest model, whether they receive economic support from their families as important variables, majors, the route to obtaining job information, the degree of irritating feelings for a month, and the location of the graduating university were selected.

Seeking for a Curriculum of Dance Department in the University in the Age of the 4th Industrial Revolution (4차 산업혁명시대 대학무용학과 커리큘럼의 방향모색)

  • Baek, Hyun-Soon;Yoo, Ji-Young
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.3
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    • pp.193-202
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    • 2019
  • This study focuses on what changes are required as to a curriculum of dance department in the university in the age of the 4th industrial revolution. By comparing and analyzing the curricula of dance department in the five universities in Seoul, five academic subjects as to curricula of dance department, which covers what to learn for dance education in the age of the 4th industrial revolution, are presented. First, dance integrative education, the integration of creativity and science education, can be referred to as a subject that stimulates ideas and creativity and raises artistic sensitivity based on STEAM. Second, the curriculum characterized by prediction of the future prospect through Big Data can be utilized well in dealing with dance performance, career path of dance-majoring people, and job creation by analyzing public opinion, evaluation, and feelings. Third, video education. Seeing the images as modern major media tends to occupy most of the expressive area of art, dance by dint of video enables existing dance work to be created as new form of art, expanding dance boundaries in academic and performing art viewpoint. Fourth, VR and AR are essential techniques in the era of smart media. Whether upcoming dance studies are in the form of performance or education or industry, for VR and AR to be digitally applied into every relevant field, keeping with the time, learning about VR and AR is indispensable. Last, the 4th industrial revolution and the curriculum of dance art are needed to foresee the changes in the 4th industrial revolution and to educate changes, development and seeking in dance curriculum.