• Journal of Korea Entertainment Industry Association
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• v.13 no.5
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• pp.47-57
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• 2019

New product innovation is a key component of a company's survival and sustained growth. With the rapidly changing market environment and global infinite competition, The importance of innovative new product development is growing. In the domestic entertainment industry, Competition is intensifying, and many companies are focusing on developing innovative new products in order to secure continuous competitive advantage in the era of global infinite competition. The problem is that as the intensity of competition increases and the idol production system develops more and more, The costs of planning and marketing are increasing. The fair trade commission estimated the cost of creating an idol group to be about 1 billion won, and some large entertainment companies claim that the investment cost is about 20 ~ 3 billion won. Lean startup is attracting attention as an innovation framework for sustainable competitive advantage of companies. But, there are not many related studies in Korea despite the growing interest. In particular, Case studies that can help to establish specific strategies are limited. Therefore, this study analyzed the successful case of JYP Entertainment's idol singer TWICE who succeeded in new product innovation and suggested practical implications. Theoretically, This study extended the Lean startup to the entertainment industry and suggested practical implications as the basic data for establishing the innovation strategies for the idol singers of domestic entertainment companies.

• Asian review of World Histories
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• v.4 no.1
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• pp.3-34
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• 2016

This introduction is both a statement of a research problem and an account of the first research results for its solution. As more historical databases come online and overlap in coverage, we need to discuss the two main issues that prevent 'big' results from emerging so far. Firstly, historical data are seen by computer science people as unstructured, that is, historical records cannot be easily decomposed into unambiguous fields, like in population (birth and death records) and taxation data. Secondly, machine-learning tools developed for structured data cannot be applied as they are for historical research. We propose a complex network, narrative-driven approach to mining historical databases. In such a time-integrated network obtained by overlaying records from historical databases, the nodes are actors, while thelinks are actions. In the case study that we present (the world as seen from Venice, 1205-1533), the actors are governments, while the actions are limited to war, trade, and treaty to keep the case study tractable. We then identify key periods, key events, and hence key actors, key locations through a time-resolved examination of the actions. This tool allows historians to deal with historical data issues (e.g., source provenance identification, event validation, trade-conflict-diplomacy relationships, etc.). On a higher level, this automatic extraction of key narratives from a historical database allows historians to formulate hypotheses on the courses of history, and also allow them to test these hypotheses in other actions or in additional data sets. Our vision is that this narrative-driven analysis of historical data can lead to the development of multiple scale agent-based models, which can be simulated on a computer to generate ensembles of counterfactual histories that would deepen our understanding of how our actual history developed the way it did. The generation of such narratives, automatically and in a scalable way, will revolutionize the practice of history as a discipline, because historical knowledge, that is the treasure of human experiences (i.e. the heritage of the world), will become what might be inherited by machine learning algorithms and used in smart cities to highlight and explain present ties and illustrate potential future scenarios and visionarios.

• Information Systems Review
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• v.8 no.3
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• pp.225-243
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• 2006

Recently mother company-driven informatization projects have been widely launched for the suppliers. Setting up a proprietary evaluation system for the level of informatization of the suppliers, a mother company provides both financial and consulting supports for the suppliers in order to enhance the utilization level of the ERP(Enterprise Resource Planning) system. With the utilization level enhanced, the whole collaboration network will create a competitive advantage to win over global competition. This paper investigates critical success factors for ERP operational performances through a Samsung Electronics case study. The result of the case study may provide valuable feedback to the strategic decision making and fundamental insights for these collaboration efforts.

• Atmosphere
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• v.24 no.1
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• pp.1-15
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• 2014

This study compared ensemble mean and probability forecasts of snow depth amount associated with winter storm over South Korea on 28 December 2012 at five operational forecast centers (CMA, ECMWF, NCEP, KMA, and UMKO). And cause of difference in predicted snow depth at each Ensemble Prediction System (EPS) was investigated by using THe Observing system Research and Predictability EXperiment (THORPEX) Interactive Grand Global Ensemble (TIGGE) data. This snowfall event occurred due to low pressure passing through South Sea of Korea. Amount of 6 hr accumulated snow depth was more than 10 cm over southern region of South Korea In this case study, ECMWF showed best prediction skill for the spatio-temporal distribution of snow depth. At first, ECMWF EPS has been consistently enhancing the indications present in ensemble mean snow depth forecasts from 7-day lead time. Secondly, its ensemble probabilities in excess of 2~5 cm/6 hour have been coincided with observation frequencies. And this snowfall case could be predicted from 5-day lead time by using 10-day lag ensemble mean 6 hr accumulated snow depth distribution. In addition, the cause of good performances at ECMWF EPS in predicted snow depth amounts was due to outstanding prediction ability of forming inversion layer with below $0^{\circ}C$ temperature in low level (below 850 hPa) according to $35^{\circ}N$ at 1-day lead time.

• Journal of Engineering Education Research
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• v.12 no.2
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• pp.83-88
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• 2009

In this paper the author proposes a case study of a freshmen introduction to engineering design course ing LEGO Mindstorm NXT and analyzes the survey results of the course. The diffilculties are that this course should provide various aspects of design experiences to the students while not requiring the major knowledge and skills and it should attract the students to the engineering major. According to our case study LEGO mindstorm can be a good solution to this problem. The design experience with LEGO Mindstorm NXT provides students with various aspects of design experiences including defining problem, finding constraints and functions, exploring design space, and performing preliminary design, as well as fun. This paper also provides a project list that can be used for freshmen design experience including soccer game robots, line tracer, and vacuum cleaner etc.

• Journal of Environmental Impact Assessment
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• v.21 no.2
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• pp.297-314
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• 2012

This study investigates the stigma effect of unwelcomed facilities on apartment prices through multiple regressions based on hedonic price method. The areas studied are Sang-gye Jugong 7, 9, 10 apartment complexes. The facilities analyzed are the Chang-dong Electric Subway Depot and the Do-bong Driver's License Agency. The factors studied include the environmental variable (the elapsed time since the announcement of the re-location of these facilities), the view commanding, the distance from Chang-dong Depot, the distance from Do-bong Driver's License Test Course, the distance from neighboring facilities (subway stations, schools, parks and so on), the floor and each dwelling's exclusive space. The data used are 2,822 sales which have been collected since January 1, 2006. The facts found are as follows; first, the view commanding and the distance from the unwelcomed facilities are statistically significant. second, the environmental variable, 'days' turns out to have a positive (+) and a negative (-) significant relationship with the dependent variable, 'price', in period II and period IV respectively. This implies that the stigma effect is real. third, there are significant differences in the influence on the apartment prices among the independent variables according to time. fourth, the stigma effect is estimated as 33,686,920 Korean won in the case of the apartments which have the view commanding and 30,311,844 won in the other case before the global economic crisis. This effect seems to decrease to 22,085,078 won after the crisis. These facts suggest that stigma effects could be considered as one of the benefits in the cost-benefit analysis of Chang-dong Depot re-location project to produce somewhat higher NPV or B/C ratio.

• Atmosphere
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• v.22 no.4
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• pp.387-400
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• 2012

This study aims at examining the sensitivity of numerical simulations to the resolution of initial and boundary data, and to an application of WRF (Weather Research and Forecasting) 3DVAR (Three Dimension Variational data Assimilation). To do this, we ran the WRF model by using GDAS (Global Data Assimilation System) FNL (Final analyses) and the KLAPS (Korea Local Analysis and Prediction System) analyses as the WRF's initial and boundary data, and by using an initial field made by assimilating the radar data to the KLAPS analyses. For the sensitivity experiment, we selected a heavy rainfall case of 21 September 2010, where there was localized torrential rain, which was recorded as 259.5 mm precipitation in a day at Seoul. The result of the simulation using the FNL as initial and boundary data (FNL exp) showed that the localized heavy rainfall area was not accurately simulated and that the simulated amount of precipitation was about 4% of the observed accumulated precipitation. That of the simulation using KLAPS analyses as initial and boundary data (KLAPC exp) showed that the localized heavy rainfall area was simulated on the northern area of Seoul-Gyeonggi area, which renders rather difference in location, and that the simulated amount was underestimated as about 6.4% of the precipitation. Finally, that of the simulation using an initial field made by assimilating the radar data to the KLAPS using 3DVAR system (KLAP3D exp) showed that the localized heavy rainfall area was located properly on Seoul-Gyeonggi area, but still the amount itself was underestimated as about 29% of the precipitation. Even though KLAP3D exp still showed an underestimation in the precipitation, it showed the best result among them. Even if it is difficult to generalize the effect of data assimilation by one case, this study showed that the radar data assimilation can somewhat improve the accuracy of the simulated precipitation.

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.100-105
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• 2021

This study examines the effectiveness of the study through a case of PBL(problem-based-learning) class conducted in a balanced culture course called at 00- University in the second semester of 2020. The effects of learning are as follows: First, PBL(problem-based-learning) has sufficient active interaction between the teacher and the learner. In the face of prolonged non-face-to-face learning, the PBL teaching method has sufficient interaction between the professors-learner and the learner. Second, PBL learning can actively utilize various problems that fit the characteristics of the subject and actively utilize the process of role sharing and collaboration. By presenting various problem situations suitable for the subject, students will be able to share roles individually or as a team, and fully experience the process of collaboration and discussion in the process of investigating the data. Third, critical perceptions of problem situations can be extended. In modern times, a variety of problem situations arise and critical perceptions of them must be fully learned. In a mass production and mass consumption society, students should develop the ability to blindly recognize and distinguish between real and fake information in a flood of information. The limitations identified in this class case are, first, the nature of the subject, "Understanding Culture and Philosophy," which makes it possible to discuss the global cultural phenomenon, but it should be discussed in terms of philosophy. Second, it is not easy to work as a team on non-face-to-face online. Nevertheless, PBL is a very effective method of learning in which active interactions and learning activities take place between professors and students, whether face-to-face or face-to-face online learning.

• The Journal of Industrial Distribution & Business
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• v.12 no.11
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• pp.33-50
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• 2021

Purpose: In South Korea, two kinds of mandatory insurance, Fierce Liability Insurance and Outdoor Advertising Liability Insurance sells as of February 2021 according to relevant codes. This study analyzed third party liability and personal living liability insurance in terms of various risks not corporation side but personal side arising from normal living and life. Research design, data and methodology: Some cases of drone accident hit man and fierce dog accident were taken into analysis to verify blame ratio and insurance claim money. The former case is that on the way down the elevator, the dog, American pit bull terrier rushed in and bit the lower part of the knee against the visitor. The latter case is that while flying in the sky as usual, the drone suddenly crashed, fell, and hit the head of a young child while walking on the street. Further previous studies such as third party liabilities, liability insurance, mandatory insurance were deeply analyzed. Results: Based on some case studies and previous studies, the author suggested valuable comments in turn realization of insurer as provider, exhaustive creation and operation of mandatory insurance, realization of insured as demanded, and arrangements of laws and systems in special consideration of amendment of companion animal and exhaustive execution of mandatory insurance by the government. Conclusions: This study was about third party liability, personal living liability insurance and expansion of mandatory insurance caused by relevant laws by the government. In this study the author verified what issues were observed from two cases drone accident and fierce dog accident and then suggested some valuable comment as above both systemic plans and practical plans. First of all, the individual should get Comprehensive Property Insurance(CPI) that covers the risks of his/her own property arising from the everyday life. And then the individual should further buy Personal Living Liability Insurance(PLLI) in order to prepare 'accidents that may happen when, where, or how' and overcome the said accidents. Moreover, the individual should take a look every single insurance contract whether he/she has a special terms and conditions of Personal Living Liability Insurance(PLLI) or not.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.435-440
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• 2021

This study examines the effectiveness of the study through a case of PBL (problem-based learning) class conducted in a balanced culture course called at 00 - University in the second semester of 2020. The effects we can achieve through learning are as follows: First, problem-based learning (PBL) has sufficient active interaction between the teacher and the learner. Second, PBL learning can actively utilize various problems that fit the characteristics of the subject and actively utilize the process of role sharing and collaboration. Third, critical perceptions of problem situations can be extended. The limitations identified in this class case are, first, the nature of the subject, "Understanding Culture and Philosophy," which makes it possible to discuss the global cultural phenomenon, but it should be discussed in terms of philosophy. Second, it is not easy to work as a team on non-face-to-face online.