• The Journal of the Korea Contents Association
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• v.9 no.6
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• pp.300-308
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• 2009

This article analyzed the crisis and emergency management research trend in the field of public administration in Korea from 1987 to 2007. The research purpose of this paper is to empirically evaluate the state of art in the crisis and emergency management research trend and explore research topics and methodology for future studies. According to empirical analysis, the main research results are as follows. First, almost all research papers over 80% have been written after 1998 and, especially, 67.6% of all papers have been published from 2003-2007. Second, recently lots of scholars are more interested in the problem solving prescriptive topics than normative and theory orientation. Third, in the Korean public administration, 74.6% of research papers which dealt with crisis, have investigated the disaster crisis including natural and man-made disasters, among conventional security crisis, disaster crisis, critical infrastructure crisis, and living safety crisis. Finally, so far, crisis and emergency management research trend in Korean public administration have consisted mainly of the papers with more descriptive approach and literature survey than empirical approach and survey research.

• Journal of Korea Game Society
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• v.10 no.5
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• pp.75-85
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• 2010

In addition to the quantitative growth of the games industry as a game addiction and social problems have also been increased. Addiction adoption of the resolution was presented to the fatigue system. In this study, flow and addiction affects 6 factors(self-control, positive expectations, interest, competition, positive self-efficacy, negative self-efficacy), depending on whether the adoption lag Flow to affect in any empirical analysis. This fatigue system effect on the game development and to enhance users' flow to do what strategies for theoretical and practical implications are to provide.

• Journal of Korean Society for Quality Management
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• v.47 no.4
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• pp.687-700
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• 2019

Purpose: The purpose of this study is to investigate the interaction effects between price determinants of artworks. We expand the methodology in art market by applying machine learning techniques to estimate the price of artworks and compare linear regression and machine learning in terms of prediction accuracy. Methods: Moderated regression analysis was performed to verify the interaction effects of artistic characteristics on price. The moderating effects were studied by confirming the significance level of the interaction terms of the derived regression equation. In order to derive price estimation model, we use multiple linear regression analysis, which is a parametric statistical technique, and k-nearest neighbor (kNN) regression, which is a nonparametric statistical technique in machine learning methods. Results: Mostly, the influences of the price determinants of art are different according to the auction types and the artist 's reputation. However, the auction type did not control the influence of the genre of the work on the price. As a result of the analysis, the kNN regression was superior to the linear regression analysis based on the prediction accuracy. Conclusion: It provides a theoretical basis for the complexity that exists between pricing determinant factors of artworks. In addition, the nonparametric models and machine learning techniques as well as existing parameter models are implemented to estimate the artworks' price.

• Journal of Korea Game Society
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• v.14 no.6
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• pp.69-78
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• 2014

The purpose of this paper is to analyze a developing process of 3D STEAM based G learning contents. STEAM means Science, Technology, Engineering, Art, Mathematics. It is focused on to raise students interest on science and technology through integrating the subjects together. Also it's purpose is to raise students understanding capabilities on technology convergence and problem solving. Therefore, this paper focused on the analysis of the development of 3D STEAM based G learning contents. Science topic, 'solar system and stars' was decided as a G learning based contents. Students showed higher immersion and motivation on the contents.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.1
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• pp.170-181
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• 2015

Generally, because individual agricultural product possesses its own distinctive characteristics and shows different characteristics at each stage of the agricultural supply chain, it is necessary to develop a proper enterprise architecture for managing information system. In this paper, we propose an enterprise architecture based on RFID/USN technology that can be used as a reference enterprise architecture for u-IT application in the agriculture sectors, which is called the u-Farm enterprise architecture with taking heterogeneous characteristics of agricultural products into account for. In addition, we also developed the RFID/USN middleware platform as a core infrastructure technology. Fo evaluation of the performance of the proposed u-Farm architecture and the RFID/USN middleware platform, the field-trial evaluation at the apple Agricultural Processing Center (APC) has been executed and the results shows that the proposed architecture and platform perform well in terms of information integration over the whole SCM process from the farming stage to delivering statge to the customers. It is expected that the proposed u-Farm enterprise architecture can be utilized as a standard information architecture, and the RFID/USN middleware platform can be a infrastructure platform for future u-IT based information technology applications and services in the agricultural environment.

• Information Systems Review
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• v.8 no.3
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• pp.201-223
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• 2006

This study surveys the current state of the art in the field of IT investment and performance in domestic finns and investigates the statistical significance of various hypothesis of previous relevant researches. Data of 145 information systems of 133 firms have been collected. The amount of IT budget in 2005 has increased to the level of 2.53% of gross revenue of the firms and IT business value has also increased as compared to the previous year. As results of MANOVA test, it has been found that the amount of IT budget does not affect the level of IT business value. In other words, the relationship between IT investment and IT business value does not exist. And among ten factors which has been known to determine IT business value in previous researches, only three factors have been found to affect the level of IT business value: the technical quality of information systems, CIO leadership in the context of resource allocation and decision makings, and the capability and commitment of the user department. These finding provide insight for both practitioners and researchers.

• Journal of the Korean earth science society
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• v.24 no.1
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• pp.7-21
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• 2003

The state-of-art third generation wave prediction model WAM was applied to the Korean seas for a winter monsoon period of January 1997. The wind field used in the present study is the global NSCAT-ERS/NCEP blended winds, which was further interpolated using a bi-cubic spline interpolator to fine grid limited area shallow water regime surrounding the Korean seas. To evaluate and investigate the accuracy of WAM, the hindcasted wave heights are compared with observed data from two shallow water buoys off Chil-Bal and Duk-Juk. A detailed study has been carried with the various meteorological parameters in observed buoy data and its inter-dependency on model computed wave fields was also investigated. The RMS error between the observation and model computed wave heights results to 0.489 for Chil-Bal and 0.417 for Duk-Juk. A similar comparison between the observation and interpolated winds off Duk-Juk show RMS error of 2.28 which suggest a good estimate for wave modelling studies.

• Atmosphere
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• v.27 no.4
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• pp.499-509
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• 2017

Possible links among cosmic ray, cloud, and climate have scientific uncertainties. The reputed topics have been highly controversial during several decades. A link between the atmospheric ionization by galactic cosmic rays (GCR), which is modulated by solar activities, and global cloud cover was firstly proposed in 1997. Some researchers suggested that the GCR can stimulate the formation of cloud condensation nuclei (CCN) in the atmosphere, and then the higher CCN concentrations may lead to an increase of cloud cover, resulting in a cooling of the Earth's climate, and vise versa. The CLOUD (Cosmic leaving outdoor droplets) experiment was designed to study the effect of GCR on the formation of atmospheric aerosols and clouds under precisely controlled laboratory conditions. A state-of-the-art chamber experiment has greatly advanced our scientific understanding of the aerosol formation in early stage and its nucleation processes if the GCR effect is considered or not. Many studies on the climate-GCR (or space weather) connection including the CLOUD experiment have been carried out during the several decades. Although it may not be easy to clarify the physical connection, the recent scientific approaches such as the laboratory experiments or modeling studies give some implications that the research definitively contributed to reduce the scientific uncertainties of natural and anthropogenic aerosol radiative forcing as well as to better understand the formation processes of fine particulate matters as an important parameter of air quality forecast.

• Asia-Pacific Journal of Business
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• v.11 no.4
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• pp.83-101
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• 2020

Purpose - The purpose of this study is to identify the factors which affect the performance of Chinese web drama. Design/methodology/approach - For empirical investigation, 163 web dramas which were listed in AiQiyi platform were used as the sample. It was hypothesized that number of explanatory variables drawn from previous research, including the power of producing company, and star power of actors and actresses, average length of an episode, genre of the drama, viewer ratings, existence of exclusive SNS account and the use of existing IP, would influence the performance of the drama measured by cumulative hit number. A hierarchical regression analysis is conducted to test hypotheses. Findings - Results show that star power of actors and actresses, average length of an episode, viewer ratings and the use of IP indeed affect the performance of Chinese web drama. Research implications or Originality - As the first empirical study of this kind, this study may help not only domestic but also global participants of fast growing Chinese web drama industry.

• Journal of Information Technology Applications and Management
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• v.25 no.4
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• pp.123-143
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• 2018

The domestic multiplex industry provides consumers with a choice of movies and a variety of contents and entertainment facilities and services. In addition, the number of movie theaters with the significant market potential is also steadily increasing in the competitive multiplex market environment. For the analysis, we conducted research on 300 adolescents who have experienced using domestic multiplex mobile service within the recent year. This study examined the structural relationship among the multi-dimensional mobile service quality of multiple, enjoyment of use, and online word of mouth intention. Also, it explored the mediating effect of enjoyment of use and the moderating effect of gender in the structural model. As a result, the mobile service quality of multiplex has a significant effect on the online word of mouth intention through the enjoyment of use. However, there was no moderating effect of gender of participating adolescents in the relationships. Based on the analysis of empirical results, this study discussed a series of theocratical and practical implications for the marketing strategies of multiplex in the highly competitive market.