• Journal of Korean Society of Occupational and Environmental Hygiene
• /
• v.29 no.3
• /
• pp.394-403
• /
• 2019

Objectives: This study was conducted to examine the effect of the utilization of the educational planning model (ADDIE) and self-leadership of occupational health managers (OHM) on work performance. Methods: The sample of this study was 180 OHM with over six months of experience, who attended continuing education by the Korean Academic Society of Occupational Health Nursing. Data were collected from April to June 2019 and analyzed using frequency analysis, t-test, F-test, Pearson's correlation analysis, and multiple regression analysis through SPSS Program Ver. 23. Results: According to the results of multiple regression analysis of the factors influencing the work performance of OHM, the model was significant and the explanatory power was 40%. Self-leadership (${\beta}=.45$, p=.001), utilization of the educational planning model (${\beta}=.20$, p<.005), and position (${\beta}=.16$, p=.024) were significant influence factors on work performance. Conclusions: To improve the work performance of OHM, a customized program needs to be developed that promotes the utilization ability of the educational planning model and a strategy of benchmarking high performers in the light of their positions. The improvement of the work performance of OHM will eventually make a contribution to the reduction of industrial disaster and occupational diseases.

• Nuclear Engineering and Technology
• /
• v.54 no.6
• /
• pp.2067-2076
• /
• 2022

The importance of safety culture has been emphasized to achieve a high level of safety. In this light, a systematic method to more properly deal with safety culture is necessary. Here, a decision-making tool that can apply a graded approach to the analysis of safety culture is proposed, called the F-D matrix, which determines the frequency and the difficulty of safety culture attributes recently defined by the IAEA. A hierarchical model of difficulty contributors was developed as a scoring standard, and its elements were weighted via expert evaluation using the analytic hierarchy process. The frequency of the attributes was derived by analyzing reported events from nuclear power plants in the Republic of Korea. Period-by-period comparisons with the F-D matrix can show trends in the change of the maturity level of an organization's safety culture and help to evaluate the effectiveness of previously implemented measures. In the evaluating the difficulty of the attributes in the recently developed harmonized safety culture model, the difficulties of Trending, Benchmarking, Resilience, and Documentation and Procedures were found to be relatively high, while the difficulties of Conflicts are Resolved, Ownership, Collaboration, and Respect is Evident were found to be relatively low. A case study was conducted with an analysis period of 10 years to attempt to reflect the many changes in safety culture that have been made following the Fukushima accident in March 2011. As a result of comparing two periods following the Fukushima accident, the overall frequency decreased by about 40%, providing evidence for the effects of the various improvements and measures taken following the increased emphasis on safety culture. The proposed F-D matrix provides a new analytical perspective and enables an in-depth analysis of safety culture.

• Journal of Navigation and Port Research
• /
• v.29 no.3 s.99
• /
• pp.215-220
• /
• 2005

This paper aim, to measure and evaluates the technical efficiency, pure technical efficiency and scale efficiency with two inputs and four outputs with the use of DEA(Data Envelopment Analysis) in Korean RCC(Rescue Co-ordination Center)/RSC(Rescue Sub-Center). Several conclusion emerge. first the average efficiency of overall technical efficiency measure about $91.03{\%}$ and pure technical efficiency $96.80{\%}$ is much large then scale efficiency $93.83{\%}$. It means that inefficiency has much more to do whit the inefficient utilization of resources rather then the scale of production. second, DRS(decreasing return to scale)is Tongyeong and IRS(increasing return to scale) is Incheon, Taean, Gunsan, Yeosu, Ulsan, Donghae in RCC/RSC finally, inefficiency RCC/RSC have to benchmarking with reference sets.

• The Journal of the Korea Contents Association
• /
• v.13 no.12
• /
• pp.974-985
• /
• 2013

This research aimed to propose policy alternatives on acquisition and retention of SME's R&D personnel through the analysis of the status and problems of SME's R&D personnel. As research methods, literature review, survey analysis, domestic and foreign R&D personnel support system and practices benchmarking, human capital corporate panel (HCCP) and integrated survey DB material analysis, and case investigation by interview were used. The occupational status and problems of SME R&D personnel concerned on the corporate size, HRM practices on satisfaction and HRD problems, talent personnel management and training system status, the core talent management system and R&D personnel management system, and its complaints were organized. As conclusion, we have proposed alternatives on acquisition and retention of R&D personnel focused on the talent management. Suggestions were such as supports on R&D personnel management system and its dissemination, systematic career development programs, and excellency promotion on SME's and R&D talent personnel.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.5
• /
• pp.681-691
• /
• 2017

This empirical study evaluated the 2016 Cheonan KIEMSTA(Korea International Exhibition of Machinery, Equipment, Science and Technology for Agriculture) based on an exhibitor's view. A total of 15 items of importance and performance were selected and 4 quadrants were analyzed for further analysis. The results revealed the following significant factors:concentration region with generating sales, exploring market opportunities in a new region, and meeting key decision makers; the Overkill region with collecting information regarding thecompetitor's product, demonstrating thecompany's capability, increasing staff's trade show experience, and training the sales teams; Low priority region with discovering new products, exploring export opportunities in a foreign market, and gaining an edge over competitors who are not exhibiting; and Keep up the work region bymaintaining relationships with existing customers, collecting market information, benchmarking competitor's position, introducing new product, and motivating sales people.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.36 no.6
• /
• pp.1145-1152
• /
• 2016

A construction post evaluation is introduced to provide information that can be used for similar construction projects in the future through the evaluation of the efficiency of a public construction project and the verification of the appropriateness of the project results. However, it is not widely used due to a lack of awareness of the method. For this reason, the aim of this study is to provide a basic frame that can be utilized as a reference for a similar project in the future based on the construction post evaluation. More specifically, a more effective analysis method for the construction post evaluation is proposed and then an exemplary analysis is performed based on the method. The paper analyzes 293 cases stored in construction CALS. Construction cost growth rates of railway projects are tend to be greater than other project types like highway, expressway, and harbour. Then, construction schedule grwoth rates of expressway are greater than others. This is expected to provide useful information for a future project, and serve as a basic frame. Moreover, it is also meaningful that a project can be analyzed from different perspectives through the construction post evaluation.

• Journal of Information Technology Services
• /
• v.16 no.3
• /
• pp.167-183
• /
• 2017

The rapid growth of information technology and mobile service platforms, i.e., internet, google, and facebook, etc. has led the abundance of data. Due to this environment, the world is now facing a revolution in the process that data is searched, collected, stored, and shared. Abundance of data gives us several opportunities to knowledge discovery and data mining techniques. In recent years, data mining methods as a solution to discovery and extraction of available knowledge in database has been more popular in e-commerce service fields such as, in particular, movie recommendation. However, most of the classification approaches for predicting the movie popularity have used only several types of information of the movie such as actor, director, rating score, language and countries etc. In this study, we propose a classification-based support vector machine (SVM) model for predicting the movie popularity based on movie's genre data and social network data. Social network analysis (SNA) is used for improving the classification accuracy. This study builds the movies' network (one mode network) based on initial data which is a two mode network as user-to-movie network. For the proposed method we computed degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality as centrality measures in movie's network. Those four centrality values and movies' genre data were used to classify the movie popularity in this study. The logistic regression, neural network, $na{\ddot{i}}ve$ Bayes classifier, and decision tree as benchmarking models for movie popularity classification were also used for comparison with the performance of our proposed model. To assess the classifier's performance accuracy this study used MovieLens data as an open database. Our empirical results indicate that our proposed model with movie's genre and centrality data has by approximately 0% higher accuracy than other classification models with only movie's genre data. The implications of our results show that our proposed model can be used for improving movie popularity classification accuracy.

• Journal of The Korean Association of Information Education
• /
• v.25 no.3
• /
• pp.527-535
• /
• 2021

This study examined the reality of military counseling education applied by the Army and studied the effects of military counseling training using virtual reality. First, we explored the cases of virtual reality application related to counseling, reviewed the virtual reality technology that can be benchmarked in the Army military counseling education, and examined the applicable technology. We classified the education method and the curriculum for the students and tested the difference using the analysis of variance, which is a statistical analysis method, through the satisfaction measurement of the current education. In addition, after having students experience virtual reality contents, the effects of practical training applied with virtual reality technology were derived and the difference in actual training was compared and analyzed through T-test. Then, the reliability of the study was improved by analyzing the effects of practical training using virtual reality by using the Analytic Hierarchy Process for the expert group who can consider the overall situation. Based on the results of the analysis, the development plan of military counseling training combined with virtual reality technology and the supplements of current military counseling education were presented as policy implications.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2004.11a
• /
• pp.191-196
• /
• 2004

This paper is to measure and ealuates the technical efficiency, pure technical efficiency and scale efficiency with three inputs and two outputs with the use of DEA(data envelopment analysis) in Korean RCC(Rescue Co-ordination Center/RSC(Rescue Sub-Center). Several conclusion emerge. first the average efficiency of overall technical efficiency measure about $91.03\%$ and pure technical efficiency $96.80\%$ is much large then scale efficiency $93.83\%$. It means that inefficiency has much more to do whit the inefficient utilization of resources rather then the scale of production. second, DRS(decreasing return to scale) is Tongyeong and IRS(increasing return to scale) is Incheon, Taean, Gunsan, Yeosu, Ulsan, Donghae in RCC/RSC. finally, inefficiency RCC/RSC. have to benchmarking with reference sets.

• The Journal of Sustainable Design and Educational Environment Research
• /
• v.17 no.1
• /
• pp.1-11
• /
• 2018

The aims of this research are investigating and analysing background, enforcement situation, distinct features and current status of green schools which have been conducted by the government targeting decrepit schools. Based on this investigation and analysis the solution for vitalizing green schools will be sought because green schools are more effective in reducing energy and greenhouse gas and they are more appropriate methods for schools. With internal and external literature reviews the concept and background of overseas green school policies and their similarities and differences are analyzed. Based on the investigation into current status of green schools in Korea and eco-schools and super eco-schools in Japan which are benchmarking objects of green schools project in Korea the problems and outcomes of green schools in Korea are diagnosed. By analyzing cases of eco-schools and super eco-schools in Japan implications for introducing to Korea are considered. Based on the aforementioned researches this study suggests the improvement plan for vitalizing green schools project and similar projects.