• Information Systems Review
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• v.19 no.2
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• pp.1-19
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• 2017

Original scripts of e-learning lectures for the CEOs of corporation S were analyzed using topic analysis, which is a text mining method. Twenty-two topics were extracted based on the keywords chosen from five-year records that ranged from 2011 to 2015. Research analysis was then conducted on various issues. Promising topics were selected through evaluation and element analysis of the members of each topic. In management and economics, members demonstrated high satisfaction and interest toward topics in marketing strategy, human resource management, and communication. Philosophy, history of war, and history demonstrated high interest and satisfaction in the field of humanities, whereas mind health showed high interest and satisfaction in the field of in lifestyle. Studies were also conducted to identify topics on the proportion of content, but these studies failed to increase member satisfaction. In the field of IT, educational content responds sensitively to change of the times, but it may not increase the interest and satisfaction of members. The present study found that content production for CEOs should draw out deep implications for value innovation through technology application instead of simply ending the technical aspect of information delivery. Previous studies classified contents superficially based on the name of content program when analyzing the status of content operation. However, text mining can derive deep content and subject classification based on the contents of unstructured data script. This approach can examine current shortages and necessary fields if the service contents of the themes are displayed by year. This study was based on data obtained from influential e-learning companies in Korea. Obtaining practical results was difficult because data were not acquired from portal sites or social networking service. The content of e-learning trends of CEOs were analyzed. Data analysis was also conducted on the intellectual interests of CEOs in each field.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.394-399
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• 2016

This study examines how the patent results of the University Academic-Industrial Cooperation influence technology transfer. Statistical analysis was performed by using 2013 panel data from the Ministry of Education and Science Technology(MEST) National Research Foundation of Korea(NRF) and the results are as follows. The results show that the patent result factors that have a positive effect on the total number of technology transfers are domestic patent application numbers, foreign patent application numbers, future technology(6T) patent application numbers, science technology patent application numbers. The factors that have a positive effect on increasing royalty are the total number of technology transfers. Domestic patent application numbers, future technology(6T) patent application numbers and science technology patent application numbers have a positive effect on patent results. The results implicate that more research and development is needed for more patents to be applied, that the main focus should be on future technology(6T) and science technology fields, and that effort should be directed at planning negotiation strategies for the term of the contract. However, this study is the need to research, including primary research is so patent performance may be limited in having only been considered in future studies of human and material resources and operating system factors that may be presented to the essential elements of the Industry-Academic Cooperation Foundation this raises.

• Journal of agriculture & life science
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• v.44 no.3
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• pp.99-110
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• 2010

This paper builds a system of indicators representing rural regional development level. Indicators were classified into two groups, that is, living environment indicator group and regional vitality indicator group. Living environment indicator group consists of four indicators including housing, road, water supply, and sewage system, while regional vitality indicator group consists of five indicators including regional economy, public finance, and demography. Real data of the year 2002 and 2006 were used to do the basic statistical analysis and estimate the suitable statistical distributions for each indicator. Data were applied for the three city/county type, general city, urban-rural combined city, and county. General cities have the strongest urbanization tendency among the three types, while counties have the weakest tendency. General cities turned out to be superior in housing condition, road density, water supply system and sewage system. Indicators of employment and local finance showed the highest levels in counties. The results of this analysis are expected to provide local governments with the appropriate reference for their rural regional development policy.

• Journal of Bio-Environment Control
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• v.30 no.4
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• pp.359-366
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• 2021

This study aimed to develop and verify the smart human resource management (HRM) program in a large scale greenhouse. HRM program delivers detailed work orders to workers and gathers work results by mobile phone application. Greenhouse managers can monitor the workload, work speed, quality of employee by HRM program and can analyse performance easily. Greenhouse Managers can set the work speed including 'twisting', 'trimming' and 'harvesting' in a greenhouse. It makes planning work schedule and assigns resources to each specific job easier. Therefore, the manager can arrange the number of employees to promote work performance and also easy to estimate the labor shortage. Greenhouse managers can evaluate the adequacy of the number of employees through job performance analysis by period and adjusts the supply/demand ratio of regular and non-regular employees. The HRM program can improve work efficiency by announcing the real-time work performance of all employees on a monitor screen to induce competition among workers and re-educate unripe employees who accomplish behind average to improving work skills.

• Journal of vocational education research
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• v.36 no.4
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• pp.21-40
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• 2017

The purpose of this study is to demonstrate the effects of job training program satisfaction on objective training performance such as employment rate. In addition, the NCS(National Competency Standards) level was considered as a moderating variable in order to clarify the boundary conditions between job training program satisfaction and employment rate. The data used for the analysis of the research model are 513 job training programs that provide employment rate information among job training programs of 2016 Gwangju area on HRD-Net. The results of the analysis are summarized as follows. First, The satisfaction score of the job training programs calculated on the basis of the six dimensions of satisfaction is 4.46. The NCS level of the job training programs ranged from 2 to 6. The average score of the programs was 3.32. Second, satisfaction with the job training programs has no statistically significant effect on the employment rate, but the NCS level of the job training programs was found to be statistically significant in the interaction effect. Finally, policy implications, limitations, and further research directions are mentioned through this study.

• Journal of vocational education research
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• v.37 no.5
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• pp.101-121
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• 2018

The purpose of this study is to clarify the relationship between coaching and self-esteem, career decision-making self-efficacy, and career preparation behavior through field experiments. To accomplish the purpose of the study, as the purposeful sampling was selected 50 male university students in Chungnam, South Korea. This experimental design, 25 university students were assigned to an experimental group, and another 25 university students were assigned to a control group. The experimental group had four sessions of coaching program. The control group did not have any coaching sessions. After four coaching sessions, questionnaires were administrated again. To conduct ANCOVA, pre-measurement scores for each dependent variable were included as covariates and post-measurement scores were included as dependent variables. The result proved the effect of coaching on self-esteem, career decision-making self-efficacy, and career preparation behavior. As the results of analysis, for control group, there was no difference between before and after measurement for each dependent variable. However, there was statistically significant difference between before and after measurement for each dependent variable in experimental group. This result confirmed that coaching caused increase in the level of self-esteem, career decision-making self-efficacy, and career preparation behavior. The result like this has a significance to be able to be used as a basic data that used efficiently in the field of career guidance and HRD for university student.

• Journal of Environmental Impact Assessment
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• v.30 no.5
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• pp.328-338
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• 2021

EIA consultation is a final decision-making process that enables a variety of stakeholders to participate in and to share important information about the expected environmental impacts caused by development projects. However, this process is often undermined through re-consultation processes by significant changes in the proposed plans. EIA re-consultation is a necessary process when an approved plan needs to be changed for a variety of importantreasons including the changes of land use, delay of construction, and surrounding environments. EIA re-consultation is also important to resolve conflicts among stakeholders and to respond flexibly to unexpected changes in surrounding environment. This study aims to analyze the operation status and the problems of current institutional systems of EIA re-consultation, and to draw implications by reviewing institutional systems of other countries such as U.S. EU, Scotland, and Japan. On the basis of the previous analysis, we propose recommendations to improve the existing EIA re-consultation process. We expect this study helps understand operation status and problems of EIA re-consultation, and provides meaningful implications to improve the existing institutional systems and practice of re-consultation.

• Journal of Korean Library and Information Science Society
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• v.53 no.2
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• pp.43-71
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• 2022

In this study, the vision and goal of librarian education and training were designed by reflecting the changes in the internal and external environment of the library and the human resource development (HRD) trend in order to prepare a mid- to long-term development plan for librarian education and training. To design the vision and goal of librarian education and training, redefining the necessity, goals, mission, and role of librarian education and training, and seeking strategies to realize the vision and goal of librarian education and training. Core competency and national competency standards (A detailed implementation plan was prepared for the development of NCS) - based educational operation guidelines. First, when analyzing domestic and foreign prior research and literature, the future librarian is a person with competencies that includes first, creative convergence, second, communication and cooperation, third, leading professional, and fourth, empathic and inclusive talent. It was identified that education and training should be established based on The curriculum according to the library's future talents and core competencies should be presented in the following process model, and the librarian competencies for each type of creative convergence type, communication cooperation type, leading professional type, and empathy and inclusive type should be derived, and It was identified that the education direction should be set in the direction of designing a curriculum for job competency improvement by setting the job competency according to the requirements.

• Journal of Practical Engineering Education
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• v.13 no.3
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• pp.473-482
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• 2021

This study attempted to provide basic data for career counseling and education programs by verifying the mediating effect of career decision-making self-efficacy on relationship between perceived social support and career preparation behavior of Korean Polytechnics students. A total of 314 students from 11 departments attending the I Campus of Korea Polytechnics II were surveyed, and the research results are as follows. First, it was found that career decision-making self-efficacy completely mediated the relationship between social support and career preparation behavior. Second, the career decision-making self-efficacy had complete mediating effects on the relation between social support and career preparation behavior. Third, it was found that social support indirectly had a positive effect on career preparation behavior through career decision-making self-efficacy. The results of this study show that perceived social support of Korean Polytechnics students affects career decision-making self-efficacy and increases the level of career preparation behavior. This suggests that through active social support around Korean Polytechnics students, it is necessary to provide environmental factors that can promote career preparation behavior by enhancing the self-efficacy of career decision-making, which is a low-level factor for students.

• Journal of the Society of Disaster Information
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• v.18 no.4
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• pp.883-890
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• 2022

Purpose: Currently, in the case of domestic fire fighting facility design, it is difficult to secure highquality manpower due to low design costs and overheated competition between companies, so there is a limit to improving the fire safety performance of buildings. Accordingly, AI-based firefighting design solutions were studied to solve these problems and secure leading fire engineering technologies. Method: Through AutoCAD, which is widely used in existing fire fighting design, the procedures required for basic design and implementation design were processed, and AI technology was utilized through the YOLO v4 object recognition deep learning model. Result: Through the design process for fire fighting facilities, the facility was determined and the drawing design automation was carried out. In addition, by learning images of doors and pillars, artificial intelligence recognized the part and implemented the function of selecting boundary areas and installing piping and fire fighting facilities. Conclusion: Based on artificial intelligence technology, it was confirmed that human and material resources could be reduced when creating basic and implementation design drawings for building fire protection facilities, and technology was secured in artificial intelligence-based fire fighting design through prior technology development.