• The Journal of the Korea Contents Association
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• v.8 no.8
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• pp.19-27
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• 2008

The advance of IT brings various IT equipment which functions as creation, application, and distribution of digital contents, and its demand is increased in the market. As the world IT equipment market has grew steadily, some companies think of it as a good opportunity. But there is a entry barrier like IT Capabilities to the late movers. So some participate in the market, forming the technology alliance with a advanced company. Ironically, the market system set companies' partnership into rivalry. In this context, our study focused on strengthening late mover's competitiveness under the technology alliance. And we conducted the case study concerning the technology alliance, and showed a strategical implications. As a result, we found some challenges for late mover; price policy making by scientific demanding forecasting, preparatory research and management for brand identity and efficient contact points for customer management. We hope that results of the study will influence the development of digital contents industry.

• Korea Journal of Hospital Management
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• v.5 no.2
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• pp.40-58
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• 2000

Nurses are medical personnel, who play a key role in supporting patient care, so it is important to supply them adequately in balance with ever increasing medical demand. But there appears severe shortage of nurses in some hospitals because of their uneven distribution, especially in small sized-hospitals and rural-hospitals. As nationwide distorted distribution of nurses in Korea is just like what monopsony model(a kind of market structure model) tells us, it is attempted to explain this situation of nurse labor market in Korea on the basis of monopsony model and presented in this paper. Specifically, determinants of nurse wage and the level of their relative employment were examined, and monopsony impact on their wage and the level of relative employment controlling those determinants were studied. Major results of this study arc as follows. The most important determinant of nurse wage level in this study was the wage level of a local community where each hospital located Hospital owner's characteristics an educational function of each hospital were also important factors. With these factor controlled, it was found that monopsony power of each hospital was negativel associated with nurse wage level as expected. 1% increase in monopsony power of hospital(measured by Herfindah-Hirschman Index) reduced nurse wage by $5,674{\sim}19,19$ won(in Korean currency). With regard to the level of relative employment, the most important determinant wa the capacity for supplying nurses of the local community. Again, hospital owner characteristics and educational function of each hospital were also important. With these factors controlled, it was found that monopsony power of each hospital was negative associated with the number of nurses per bed, as expected. 1% increase in monopsony power of each hospital(again measured by Herfindah-Hirschman Index) reduced the number of nurses per 100 bed as much as $0.46{\sim}0.67$. In conclusion. structural factors of nurse labor market influence the instability of nurse labor supply in Korea. Further consideration for these market structural characteristics needed for policy making related to nurse resource allocation.

• Korean Journal of Childcare and Education
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• v.3 no.2
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• pp.123-146
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• 2007

This study has attempted to suggest an assistant model for systematic child care accreditation. This has been carried out from the current consciousness of such needs for child care accreditation as large regional disparity in assistant level, no indication to definite contents and method of assistance, demand for assistant professionals with intensified capacity and requirement for the support of financial and human resources. Six stages of assistant process: the stage of establishment and management of preparation class, the stage of application for assistance and consultation, the stage of assistant meeting, the stage of workshop and observation to exemplary institutions, and the stage of practical application and evaluation of visiting assistance have been suggested. Particularly in order to improve the efficiency of assistance, organization of a committee of expert advisors in each area has been indicated. For the guideline of assistant management, operation of preparation class for accreditation, security of assistant committee members, provision of systematic training and assistant manual, development of supervision program and financial support have been suggested. This assistant manual will contribute to systematic and efficient conduct of assistance program of child care accreditation.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.1-16
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• 2013

This study analyzed on local governmental role for strengthening of industry security in small and medium-sized businesses, Focused on case of Gyeonggido. In particular, Gyunggi-do evaluates various businesses (construction for cyber security businesses and revitalization of the private security control centers) which are promoted to strengthen industrial security in the region, by targeting SME representatives in various aspects. We focused on finding what role Gyeonggido can take to meet this demand has been explored. Based on the above research result, discuss ways to maximize promotion effects about industry security's activites, and more realistic business management. Futhermore, The need for further follow-up studies are presented.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.153-163
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• 2013

The application demand has been rapidly increasing along the growth of smart devices. Companies actively use the application as marketing tools. In particular, fashion businesses expect the improvement of customer loyalty and brand image by using the applications as the communication channel with consumers. This paper investigated the relationship between mobile shopping motives and mobile shopping acceptance. Influence of such variables on perceived importance of various fashion application attributes was also accessed. Data from male and female respondents were analyzed for the empirical study. Results indicated that mobile shopping motives were classified into convenience, ubiquity, impulsiveness and economic motives. Fashion application attribute was classified into contents, continuous management, design/visibility, downloading and community. Mobile shopping motives had significant correlation with fashion application acceptance. Shopping motives and fashion application acceptance had significant impacts on perceived importance of various fashion application attributes.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.123-131
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• 2013

This study aims to investigate development directions for smart contents to support enhancing adaptive behavior skills of children with autistic disorder in elementary school. AHP survey of experts including special education teachers and directors in educational institution for disability children was performed to analyze importance weight for smart contents development necessity and effectiveness in adaptive behavior skills. And the smart contents development suitability through pre-discussion for idea generation for various development method and AHP survey with smart application development experts was evaluated. The results show that the effective and suitable adaptive behavior skills for smart contents development were understanding of languaging, time management and keeping, movement skills, wearing clothes, and personal hygiene in order of importance. Based on this study, education authorities should make an effort not to develop fragmentary educational smart contents but to support development of smart contents and service systems with better effectiveness and usability to meet demand for special education teachers and parents considering characteristics of children with autism.

• Journal of the Korea Society of Computer and Information
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• v.24 no.3
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• pp.201-208
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• 2019

The government has proposed a development model for universities to strengthen the capacity of the College of Humanities as part of the university restructuring policy in line with the trend of the times, and encouraged each university to voluntarily induce the establishment of the humanities development plan through financial support under their own individual conditions. With the decline in the school-age population due to the declining fertility rate, the rapid change in the industrial structure has highlighted the decline in the employment rate of the students of the humanities. Therefore, the government is implementing university grading based on the results of the university structural reform evaluation, and pressing low-grade universities through reduction of capacity and reduction of support. In the course of this change, universities have designated the College of Humanities as the primary target of integration with other majors or and its disintegration. This study examines the direction of the government's attempt to change the humanities in the era of the Fourth Industrial Revolution, and suggests a precedent example during the reform of the humanities college. If the humanities college is integrated with practical studies such as management, design, IT, CT, and engineering, the strengths of the humanities can be highlighted. However, the results of this study suggest that many variables such as consideration of students' aptitudes and interests in the integration process of majors, autonomy in major selection, understanding between departments integrated, and demand for a single major before integration or disintegration should be considered. In addition, an example of a local private university shows that the hasty attempt to integrate or disintegrate the humanities can rather lead to various educational harms.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.293-299
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• 2018

The weather has a lot of influence on the cultivation of crops. Weather information on agricultural crop cultivation areas is indispensable for efficient cultivation and management of agricultural crops. Despite the high demand for agricultural weather, research on this is in short supply. In this research, we deal with the production method of agricultural weather in Jeollanam-do, which is the main production area of onions through GloSea5 and deep learning. A deep neural network model using the sliding window method was used and utilized to train daily weather prediction for predicting the agricultural weather. RMSE and MAE are used for evaluating the accuracy of the model. The accuracy improves as the learning period increases, so we compare the prediction performance according to the learning period and the prediction period. As a result of the analysis, although the learning period and the prediction period are similar, there was a limit to reflect the trend according to the seasonal change. a modified deep layer neural network model was presented, that applying the difference between the predicted value and the observed value to the next day predicted value.

• Journal of the Korean Society for information Management
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• v.35 no.4
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• pp.263-284
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• 2018

Academic libraries need to select and purchase essential collections to support students and faculty in education and research. Therefore, libraries reflect patrons' information needs on collection development through patron purchase requests. This study analyzed the pattern and efficiency of patron purchase requests in a longer-term perspective; for over a decade. Patron purchase requests show different tendencies depending on academic characteristics, which enabled libraries to identify the users' information needs in various subjects. Typically users contributed to collection development by expressing information needs in their fields of study through purchase requests. In the meantime, users in certain fields showed interest in other subject areas besides their own to select general books on various topics. Through this study, it became evident that a major portion of library collections were affected by active purchase requests from a small number of users. However those books were proven to be in demand in terms of effectiveness. Patron-driven acquisition is being implemented as an effective collection development policy.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.1-7
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• 2007

New Zealand is a hydrologically diverse and active country. This paper presents an overview of the major hydrological issues and problems facing New Zealand and provides examples of some the research being undertaken to solve the problems. Fundamental to any environmental decision making is the provision of good quality hydrometric data. Reduced funding for the national hydrometric network has meant a reduction in the number of monitoring sites, the decision on how to redesign the network was made using information on geographic coverage and importance of each site. New Zealand faces a major problem in understanding the impacts of rapid land use change on water quantity and quality. On top of the land use change is overlain the issue of agricultural intensification. The transfer of knowledge about impacts of change at the small watershed scale to much larger, more complex watersheds is one that is attracting considerable research attention. There is a large amount of research currently being undertaken to understand the processes of water and nutrient movement through the vadose zone into groundwater and therefore understanding the time taken for leached nutrients to reach receiving water bodies. The largest water management issue of the past 5 years has been based around fair and equitable water allocation when there is increasing demand for irrigation water. Apart from policy research into market trading for water there has been research into water storage and transfer options and improving irrigation efficiency. The final water management issue discussed concerns the impacts of hydrological extremes (floods and droughts). This is of particular concern with predictions of climate change for New Zealand suggesting increased hydrological extremes. Research work has concentrated on producing predictive models. These have been both detailed inundation models using high quality LIDAR data and also flood models for the whole country based on a newly interpolated grid network of rainfall.