• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.8
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• pp.512-520
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• 2020

This study analyzed the relative operational efficiency and impact factors of regional public hospitals to present benchmarking points for enhancing the efficiency of inefficient regional public hospitals. The survey targets collected and utilized the internal resources and management performance data from 34 regional public hospitals in Korea over the past five years, from 2014 to 2018. The final 33 regional public hospitals were surveyed, excluding Jinan Regional Public Hospital, which opened in 2015, the middle of the survey period. The general characteristics and input/output variables were analyzed by frequency analysis and technical statistics analysis, and Data Envelopment Analysis was performed to measure the operational efficiency index and relative comparison. According to the study, there were 11 efficient hospitals (33.3%) and 22 inefficient hospitals (66.7%). Of the 22 inefficient hospitals, 13 (IRS: Increasing Returns to Scale) required scale expansion, and nine (DRS: Decreasing Returns to Scale) required scale reduction or rebalancing. The significance of this study was that an analysis of the relative efficiency and influencing factors presented specific alternatives or directions that could help enhance the efficiency of the growth of regional public hospitals, sustainable management, and expansion of publicness.

• Information Systems Review
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• v.24 no.1
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• pp.105-123
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• 2022

Thanks to the remarkable success of Artificial Intelligence (A.I.) techniques, a new possibility for its application on the real-world problem has begun. One of the prominent applications is the bankruptcy prediction model as it is often used as a basic knowledge base for credit scoring models in the financial industry. As a result, there has been extensive research on how to improve the prediction accuracy of the model. However, despite its impressive performance, it is difficult to implement machine learning (ML)-based models due to its intrinsic trait of obscurity, especially when the field requires or values an explanation about the result obtained by the model. The financial domain is one of the areas where explanation matters to stakeholders such as domain experts and customers. In this paper, we propose a novel approach to incorporate financial domain knowledge into local rule generation to provide explanations for the bankruptcy prediction model at instance level. The result shows the proposed method successfully selects and classifies the extracted rules based on the feasibility and information they convey to the users.

• Information Systems Review
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• v.7 no.2
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• pp.1-21
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• 2005

Integrated Railroad Information System(IRIS) Construction Project is one of the super projects in Korea required to invest over 100 billion won and 10,000 engaged manpower until Dec 30, 2004. Composition of this paper is as follows; firstly, examined individual contents and aspects of IRIS, and studied formality and contents that have been based to project methodology for successful propulsion of project in overall situation of SI project progress until present. Secondly, presented for construction background of IRIS as well as Project Management and Project Development Methodologies. Thirdly, described each characteristic and development substance for individual systems after present whole contents and system image of the system. Finally, presented successful propulsion result of this project and development directions. We presented development example laying stress on IRIS's Project contents and propulsion circumstances. Evaluation about operation results should be analyzed and studied in detail operating system from now on.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.111-126
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• 2017

Korea came to see its first internet bank as 'K bank' obtained the digital-only banking license in December 2016. This paper suggests ways to foster internet banks of Korea in their early stage by analyzing the successful cases of overseas internet banks. The followings are the key success factors identified from those cases across Europe, Japan, China, and USA: Support from the related government authorities; Stable governance structure; Distinct business capabilities based on information & communications technology(ICT). These points lead to the following implications for Korean internet banks. Regulatory restrictions on owning and running internet banks should be lifted to facilitate innovation. Policies to support internet bank industry should be introduced as it is a vital part of the 4th industrial revolution. Finally, internet banks should strive to differentiate themselves by utilizing their ICT capabilities. Subjects of the further research hereafter should include the following: Analyzing the ongoing performance and developments of digital banks in Korea; Deriving success factors from the analysis; Assessing the influence and effects on financial market and economic environment.

• Journal of Korean Society of Forest Science
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• v.96 no.4
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• pp.401-407
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• 2007

This study analyzed an economic efficiency of oak mushroom cultivation in order to provide data needed for formulating related policies. 88 farmhouses in major producing areas were interviewed with. The average production cost per 100 bed-logs was 151,699 won. Among production costs, material costs accounted for 56.0% and labor costs 41.8%. Oak mushroom cultivation was labor-intensive and labor input was a significant factor determining the production costs. There was 3 7.2% gap in production costs between Chungbuk, the highest cost area and Gyeonggi, the lowest cost area of oak mushroom due to difference in labor input. Average revenue per 100 bed-logs was 178,627 won. Average income per 100 bed-logs, which is variable production costs of 116,613 won subtracted from the revenue, was 62,014 won and thus income rate was 34.7%. Income rate in Jeonbuk, the highest area, was higher than that in Gyeonggi, the lowest area, by 15.8% points due to difference in quantities produced, grade, and variable production costs, in particular, labor costs. The result of the economic analysis indicates that reduction in establishment and labor costs, accounting for the highest portion in production costs is priority issue for the enhancement of the competitiveness of the oak mushroom industry.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.75-85
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• 2019

This study was intended to identify the influence of brand value, Jewelry design, recommendation, Jewelry price, recognition, and satisfaction on purchase intent and to present a marketing strategy to draw up an activation plan for the child Jewelry market. Therefore, the implications of this study are as follows: First, companies should give consumers a sense of brand value through media promotion so that consumers can recognize it. Second, companies will have to set up marketing strategies to further enhance brand value through production of limited edition products. It will also have to develop a strategy to expand the type of product by promoting the product along with the product that has been recognized. Third, companies will have to diversify their product designs and expand the range of design choices for consumers through detailed design contests for design professionals, ordinary people and housewives. Fourth, when recommending a product to an acquaintance, you should make a recommendation considering the members of the household, individuality, and taste. Fifth, the company will have to push forward the diversification of prices as well as the diversification of products. Finally, companies will have to set up marketing strategies that meet consumers' needs, such as expanding point reserves for products, hosting promotions and one-plus-won events with friends.

• Korean Association of Arts Management
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• no.49
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• pp.87-115
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• 2019

The impact of "Korean wave" has gradually expanded in recent years, its spread trend can also be seen in the United States, South America, and even in Europe. As the earliest and largest importer of Korean culture, China's importance is self-evident. Based on the results of empirical analysis, and analyze the importance and satisfaction of each element that makes up the four factors(Music, Dance, Style, Story) with IPA method, as well as the impact of its rankings on K-POP fans phenomenon in China. The results of this study are organized as follows. Firstly, according to the analysis results, only 10.5% of the K-POP fans are male, and K-POP fans are generally young, their age mainly concentrates in the first half of the 20th (49.0%). Secondly, among the survey respondents, 65% of the fans have positive comments on the Korean Wave, most of K-POP fans obtain their idols' information through Internet, and 49.5% have consumption behaviors for their favorite idols. Thirdly, it can be seen from the data of survey results that fans attach the greatest attention to the importance and satisfaction of the melody elements in terms of music, and the performance effect in terms of dance, the appearance is chosen as the priority in terms of styling, as for the last factor, topicality, the broadcasting is the first choice. In view of the formation of the phenomenon of K-POP fans among Chinese Korean fans, by conducting the correlation analysis and research on the importance and satisfaction of each factor through data, this study is with great practical significance in academic research, it can be used as practical and meaningful material for the K-POP fans among Chinese Korean fans.

• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.159-167
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• 2022

At the present time, no systematic review has been conducted to report the project's outcomes or trends. This study systematically reviewed existing evidence related with community care pilot project. A total of 61 articles, including 18 original literatures and 43 review literatures were finally selected. For original literatures, the most frequent literatures focused on demand surveys (n=4) and model proposals (n=4), the utilization of touchpoint (n=3), space design and architectural model (n=3), manpower training and role establishment (n=2), followed by prioritizing objectives (n=1) and research trend study (n=1). For review literatures, the most frequent literature focused on the elderly (n=12) and relatively few literature on the disabled and mental illness (n=2). Since the pilot project for community care has been implemented for only about one year, the present study indicates that more future research is needed to the disabled, mental illness, and homeless should be conducted as well as elderly.

• Journal of Industrial Convergence
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• v.20 no.8
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• pp.77-84
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• 2022

This study aims to present a method for implementing a decision support system that can be used for selecting emerging technologies by applying a machine learning-based automatic classification technique. To conduct the research, the architecture of the entire system was built and detailed research steps were conducted. First, emerging technology candidate items were selected and trend data was automatically generated using a big data system. After defining the conceptual model and pattern classification structure of technological development, an efficient machine learning method was presented through an automatic classification experiment. Finally, the analysis results of the system were interpreted and methods for utilization were derived. In a DTW-kNN-based classification experiment that combines the Dynamic Time Warping(DTW) method and the k-Nearest Neighbors(kNN) classification model proposed in this study, the identification performance was up to 87.7%, and particularly in the 'eventual' section where the trend highly fluctuates, the maximum performance difference was 39.4% points compared to the Euclidean Distance(ED) algorithm. In addition, through the analysis results presented by the system, it was confirmed that this decision support system can be effectively utilized in the process of automatically classifying and filtering by type with a large amount of trend data.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.87-98
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• 2019

This study sought to identify the impact of scenarios, capital, manpower (directors, actors), media promotion, oral communication, and recognition on the intention of watching movies, and to present marketing and policy implications to film producers for ways to revitalize their films. Therefore, the implications of this study are as follows: First, if you watch a movie with a friend or introduce a movie, you should set up a marketing strategy to promote the movie as a oral message to the people around you through double points and free admission at the 10th movie. It will also require the promotion of the scenario to be strengthened so that people around them can recognize it naturally. Second, film production companies will have to improve the quality of their movies by readjusting the distribution of capital in the event of capital investment. In addition, the movie should be encouraged by the oral publicity that the huge amount of capital has enhanced the quality of the movie, as well as pre-experience events to help the audience recognize it. Third, filmmakers will have to choose directors and actors who can digest novel and experimental material over the director's or actor's reputation. Fourth, the movie promotion company should set up strategies to cater to visitors through a contest for ideas for promoting visitors, which can arouse interest among visitors. Fifth, movie promoters will have to set a sufficient promotional period for visitors to be aware of the film in advance. Finally, movie writers will have to create scenarios with a variety of materials that meet the needs of visitors. Also, movie officials will have to develop or create a mechanism for those who watch the movie to practice oral and cognitive skills.