• Korea Trade Review
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• v.44 no.1
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• pp.177-191
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• 2019

Global trade protectionism has increased further and U.S. priorities and protectionism have strengthened since Trump took office in 2017. Trump administration is actively implementing tariff measures based on U.S. domestic trade laws rather than the WTO rules and regulations. In particular, the American government has recently been imposing high tariffs due to national security and imposing economic sanctions on other countries' imports. According to the U.S. Trade Expansion Act Section 232, the American government imposed additional tariffs on steel and aluminum imports to WTO member countries such as China, India, and EU etc. on march 15, 2018. Thus, this study aims to investigate whether the U.S. Trade Expansion Act Section 232 is consistent with GATT/WTO rules by comparing the legal basis of US / China / WTO regulations related to Section 232 of the U.S. Trade Expansion Act, and gives some suggestions for responding to the Section 232 measure. As the Section 232 measure exceeded the scope of GATT's Security Exceptions regulation and is very likely to be understood as a safeguard measure. If so, the American government is deemed to be in breach of WTO's regulations, such as the most-favored-nation treatment obligations and the duty reduction obligations. In addition, American government is deemed to be failed to meet the conditions of initiation of safeguard measure and violated the procedural requirements such as notification and consultation. In order to respond to these U.S. protection trade measures, all affected countries should actively use the WTO multilateral system to prevent unfair measures. Also, it is necessary to revise the standard jurisdiction of the dispute settlement body and to explore the balance of the WTO Exception clause so that it can be applied strictly. Finally, it would be necessary for Chinese exporters to take a counter-strategy under such trade pressure.

• The Korean Journal of Franchise Management
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• v.11 no.4
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• pp.45-57
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• 2020

Purpose: The purpose of this study is to determine the importance and priority arising from the relationship between MRO-office supplies franchisor ("franchisor") and franchisees through an in-depth investigation. In particular, with respect to the MRO-Office franchise industry, we would like to make meaningful contributions in the decision-making process by comparing and contrasting factors that affect the importance and priority of communication, conflict, support and satisfaction through AHP analysis. Research design, data, and methodology: After completion of AHP analysis, the study will also identify factors in order of priority and factors of importance between the franchisor and franchisees. Another purpose of this study is to evaluate and propose business relationship strategies between the franchisor and franchisees. Through AHP analysis, this study will facilitate the relationship between the franchisor and franchise, and determine the factors of importance and factors in order of priority. Result: This study evaluates the differences and priorities of the two groups arising from the relationship between the franchisor and the franchisees through AHP analysis after separately analyzing the franchisor. In this study, the franchisees find that communication is the most important factor, then support as the second most important factor between the two groups. In contrast, the franchisor finds that support is the most important factor followed by communication between the two groups. Conclusions: This analysis demonstrates the discrepancy in evaluating important factors from the perspectives of the franchisor and the franchisees. The largest discrepancy between the franchisor and franchisees comes from an information system related to communication factors. This effectively means that the franchisor has an understanding of this inadequate information system on the part of franchisees but this understanding is not deemed an important factor. The franchisees recognize and focus on the need to obtain feedback from the franchisor regarding management improvement as the most important factor rather than the ability of the franchisor to guide them through the franchisees' operations. To this end, the franchisor should be more flexible in dealing with the problem of improving the work required by the franchisees. For this study, a survey was conducted on employees of MRO-office supplies franchisor, franchisees, and employees and completed based on AHP analysis.

• Journal of Society of Preventive Korean Medicine
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• v.25 no.2
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• pp.1-11
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• 2021

Objective : The purpose of this study is to analyze Korean patients' characteristics, who were concurrently treated with both Korean herbal medicines and Western chemical medicines using nation-wide database. Method : Using the patients sample data (HIRA-NPS 2018) provided by Health Insurance Review and Assessment Service, a group of patients who co-administered Korean herbal and Western medicines was selected, and their basic characteristics, diagnosis, and prescribed chemical medicines were analyzed. Results : Out of the 1,481,921 sample population, 17,629 patients (1.2%) were selected as a concurrent medication group. Compared to the whole sample, the concurrent medication group was composed of more women (65.8% vs. 51.1%), the more elderly people (65 or older years old) (44.5% vs. 14.6%), and the higher prevalence of chronic diseases (49.1% vs. 22.2%). The most frequent diagnosis treated with Western medicines was mental and behavioral disorders, musculoskeletal and circulatory disorders. Frequently used drugs among concurrent medication group were anti-anxiety drugs, gastric ulcer treatment drugs, and senile diseases treatment drugs. Conclusion : The evidence reported in this study is expected to provide herb-drug interaction researchers with important reference to set the priorities of research topics in the future.

• The Journal of Korean Academic Society of Nursing Education
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• v.27 no.3
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• pp.261-273
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• 2021

Purpose: This study used a descriptive investigative design to identify educational needs for developmental supportive care for the purpose of establishing a developmental supportive care education program for nurses in neonatal intensive care units. Methods: A survey was conducted on 93 nurses working in neonatal intensive care units located in a metropolitan area, and the collected data were analyzed using descriptive statistics and a paired t-test with the SPSS 25.0 program. For the purpose of analyzing educational needs, we further analyzed data through an importance-performance analysis (IPA) and the Borich needs assessment and the locus for focus models. Results: The average importance of the developmental supportive care of nurses in neonatal intensive care units was 3.74±0.78 out of 5, and the average performance was 3.46±0.81 out of 5. A t-test on the difference between the IPA and Borich needs assessment showed the highest educational need in the categories of 'individualized care', and 'I serve on the Developmental Care Committee at my institution'. In addition, according to the results of deriving the priorities of educational needs using the Borich needs assessment and the locus for focus model, the highest priority was 'I provide appropriate pain management when noxious procedures are necessary'. Conclusion: These findings can be used as basic data to design a developmental supportive care program suitable for nurses in neonatal intensive care units to meet the educational needs for developmental supportive care.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.2
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• pp.65-76
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• 2022

Recently, not only traditional statistical techniques but also machine learning algorithms have been used to make more accurate bankruptcy predictions. But the insolvency rate of companies dealing with financial institutions is very low, resulting in a data imbalance problem. In particular, since data imbalance negatively affects the performance of artificial intelligence models, it is necessary to first perform the data imbalance process. In additional, as artificial intelligence algorithms are advanced for precise decision-making, regulatory pressure related to securing transparency of Artificial Intelligence models is gradually increasing, such as mandating the installation of explanation functions for Artificial Intelligence models. Therefore, this study aims to present guidelines for eXplainable Artificial Intelligence-based corporate bankruptcy prediction methodology applying SMOTE techniques and LIME algorithms to solve a data imbalance problem and model transparency problem in predicting corporate bankruptcy. The implications of this study are as follows. First, it was confirmed that SMOTE can effectively solve the data imbalance issue, a problem that can be easily overlooked in predicting corporate bankruptcy. Second, through the LIME algorithm, the basis for predicting bankruptcy of the machine learning model was visualized, and derive improvement priorities of financial variables that increase the possibility of bankruptcy of companies. Third, the scope of application of the algorithm in future research was expanded by confirming the possibility of using SMOTE and LIME through case application.

• Journal of Veterinary Clinics
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• v.39 no.5
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• pp.217-225
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• 2022

The population of pet cats has increased significantly, from 0.3% in 2002 to 5.6% in 2017. Large-scale feline demographic and disease data from Korea are lacking. The aim of this study was to investigate the demographic data (breed, sex, and age) and disease distribution of cats who visited private veterinary practices in Korea. Data including breed, sex, age, and disease, were compiled from 32,728 electronic medical records from 30 selected private veterinary practices, between January 1, 2016, and December 31, 2017. Diseases were classified based on the International Classification of Diseases 11 by the World Health Organization, and then compared and cross-analyzed according to breed, sex, and age. Korean shorthair was the most common breed. There was a high distribution of young cats, with 77.6% of the cats under 4 years of age, and an average age of 2.5 years. Diagnoses related to preventative medicine were the most frequent and diagnoses common to young cats had higher incidence. This demographic data and information about disease distribution can be used as a basis for future research and may be helpful for determining priorities in the diagnosis of diseases and establishing strategies for health management in cats.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.115-126
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• 2022

The purpose of this study is to try to IPA(Importance-Performance Analysis) by applying text mining approaches to user review data for korea mobile banking applications, and to derive priorities for improvement. User review data on mobile banking applications of korea commercial banks (Kookmin Bank, Shinhan Bank, Woori Bank, Hana Bank), local banks (Gyeongnam Bank, Busan Bank), and Internet banks (Kakao Bank, K-Bank, Toss) that gained from Google playstore were used. And LDA topic modeling, frequency analysis, and sentiment analysis were used to derive key attributes and measure the importance and satisfaction of each attribute. Result, although 'Authorizing service', 'Improvement of Function', 'Login', 'Speed/Connectivity', 'System/Update' and 'Banking Service' are relatively important attributes when users use mobile banking applications, their satisfaction is not at the average level, indicating that improvement is urgent.

• Journal of The Korea Institute of Healthcare Architecture
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• v.28 no.4
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• pp.31-39
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• 2022

The purpose of this study is to analyse the hazard risk by examining the magnitude and severity of each type of hazard in order to mitigate and prepare for disasters in medical facilities. Methods: The hazard risk analysis for hazard types was surveyed for team leaders of medical facilities. The questionnaire analyzed data from 27 facilities, which were returned from 41 Local Medical Centers. Results: When looking at the 'Risk' by category type of hazard, the influence of health safety and fire/energy safety comes first, followed by natural disaster, facility safety, and crime safety. On the other hand, as for 'Magnitude', facility safety and crime safety come first, followed by health safety, fire/energy safety, and natural disasters. Most of the top types of disaster judged to have high hazard in medical facilities are health types. The top five priorities of hazard in medical facilities, they are affected by the geographical and industrial conditions of the treatment area. In the case of cities, the hazard was found to be high in the order of infectious disease, patient surge, and wind and flood damage. On the other hand, in rural areas, livestock diseases and infectious diseases showed the highest hazard. In the case of forest areas, the hazard was high in the order of wildfire, fire accident, lightning, tide, earthquake, and landslide, whereas in coastal areas of industrial complexes, the hazard was high due to fire, landslide, water pollution, marine pollution, and chemical spill accident. Implications: Through the research, standards will be established for the design of hospitals with disaster preparedness, and will contribute to the preparation of preemptive measures in terms of maintenance.

• SUVANNABHUMI
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• v.12 no.2
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• pp.157-200
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• 2020

This paper explores critically and historically some of the popular academic views concerning the development of the study of Southeast Asia through the lens of the contributions of particular scholars and institutions. Within the broad field of Southeast Asian Studies the focus is on the disciplines of geography, history and ethnology. There are certain views concerning the development of scholarship on Southeast Asia which continue to surface and have acquired, or are in the process of acquiring "mythical" status. Among the most enduring is the claim that the region is a post-Second World War construction primarily arising from Western politico-strategic and economic preoccupations. More specifically, it is said that Southeast Asian Studies for a considerable period of time has been subject to the American domination of this field of scholarship, located in programs of study in such institutions as Cornell, Yale and California, Berkeley, and, within those institutions, focused on particular scholars who have exerted considerable influence on the directions which research has taken. Another is that, based on the model or template of Southeast Asian Studies (and other area studies projects) developed primarily in the USA, it has distinctive characteristics as a scholarly enterprise in that it is multidisciplinary, requires command of the vernacular, and assigns special importance to what has been termed 'groundedness' and historical, geographical and cultural contextualization; in other words, a Southeast Asian Studies approach as distinct from disciplinarybased studies addresses local concerns, interests, perspectives and priorities through in-depth, on-the-ground, engaged scholarship. Finally, views have emerged that argue that a truly Southeast Asian Studies project can only be achieved if it is based on a set of locally-generated concepts, methods and approaches to replace Western ethnocentrism and intellectual hegemony.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.3
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• pp.31-39
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• 2022

The Army, Navy, and Air Force are currently making various efforts to apply defense IoT technology by reflecting the characteristics of each military. However, there are concerns that comprehensive collection, management, and analysis may be limited because each military has no overlapping system or guaranteed interoperability of data, and there are inefficient aspects in terms of using and investing a limited defense budget. In this study, evaluation items and priorities for pilot projects were selected by applying Delphi technique and AHP method to determine which projects are preferentially effective when commonly applied in terms of Army, Navy, and Air force. As a result of the analysis, the project basis and driving force, project feasibility, performance and ripple effect, redundancy and connection were identified in the order of IoT-based small detachment units and unmanned base construction, intelligent smart unit, smart ground ammunition depot, and smart training management system. According to the comprehensive results reflecting the weights of each evaluation item, the fact that small detachment units and unmanned base construction project are recognized as the first project to be applied to the Army, Navy, and Air Force is a valid approach to be effective while each military is burdened with personnel management because of the reduction of manpower. Through the research results, it is expected that the direction of application to the policy of the defense IoT project can be confirmed in terms of efficient use of limited budgets.