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기업의 머신러닝 선정에 영향을 미치는 요인 연구: 확장된 알고리즘 선택 문제의 관점으로
이영수(Youngsoo Yi),권민수(Min Soo Kwon),권오병(Ohbyung Kwon) 한국전자거래학회 2022 한국전자거래학회지 Vol.27 No.2
인공지능의 사회적수용도가 증가하면서 머신러닝 기법을 기업에 적용하는 사례가 증가하고 있다. 머신러닝 기법의 선정에는 주로 정확성이나 해석 가능성 등 기술적 요인이 주로 기준이 되어왔다. 그러나 머신러닝 채택의 성공은 개발부서, 사용부서, 리더십과 조직문화 등 경영관리 요인도 영향을 주기도 한다. 아쉽게도 기술적 요인과 경영관리적 요인이 함께 고려된 머신러닝 선정의 성공 요인을 이해하는 통합 연구가 거의 존재하지 않는다. 이에 본 논문의 목적은 기업 내 머신러닝 선정을 이해하기 위해 John Rice의 algorithm selection process model과 task-technology fit, 그리고 IS Success Model 이론을 결합한 기술-경영관리 통합 모형을제안하고 실증적 분석을 하는 것이다. 머신러닝을 도입한 국내 기업 240곳을 대상으로 설문 분석을 실시한 결과 알고리즘 품질과 데이터 품질이 높을수록 문제-알고리즘 적합성에 높게 영향을 주는 것으로 나타났으며, 문제-알고리즘 적합성은 조직의 생산성과 혁신성에도 유의한 영향을 미치는 것으로 검증되었다. 또한 외주화와 경영진 지원이 머신러닝 시스템 품질에 긍정적인 영향을 미치고, 데이터 중심 경영 및 동기화와 같은 조직문화 요인은 활용성과에 높은 영향을 미치는 것으로 확인되었다. As the social acceptance of artificial intelligence increases, the number of cases of applying machine learning methods to companies is also increasing. Technical factors such as accuracy and interpretability have been the main criteria for selecting machine learning methods. However, the success of implementing machine learning also affects management factors such as IT departments, operation departments, leadership, and organizational culture. Unfortunately, there are few integrated studies that understand the success factors of machine learning selection in which technical and management factors are considered together. Therefore, the purpose of this paper is to propose and empirically analyze a technology-management integrated model that combines task-tech fit, IS Success Model theory, and John Rice’s algorithm selection process model to understand machine learning selection within the company. As a result of a survey of 240 companies that implemented machine learning, it was found that the higher the algorithm quality and data quality, the higher the algorithm-problem fit was perceived. It was also verified that algorithm-problem fit had a significant impact on the organization’s innovation and productivity. In addition, it was confirmed that outsourcing and management support had a positive impact on the quality of the machine learning system and organizational cultural factors such as data-driven management and motivation. Data-driven management and motivation were highly perceived in companies’ performance.
Kwon, Soonhak,Sohn, Youngsoo,Jeong, Seong-Hoon,Chung, Un-Sun,Seo, Hyeeun The Korean Pediatric Society 2014 Clinical and Experimental Pediatrics (CEP) Vol.57 No.7
Purpose: Attention deficit hyperactivity disorder (ADHD) is a common disorder in school-aged children. Patients with restless legs syndrome (RLS) often present with ADHD symptoms and vice versa. This study was the first to attempt to identify the prevalence of RLS and sleep problems in children with ADHD in Korea. Methods: Patients diagnosed with ADHD were asked to complete a sleep questionnaire. The sleep questionnaire included items to help identify the presence of four typical symptoms that are used as diagnostic criteria for RLS. Results: A total of 56 patients, including 51 boys and 5 girls (mean age, 10.7 years old) participated. Of these, 24 complained of pain, discomfort, or an unpleasant sensation in the legs. Based on the RLS diagnostic criteria, 2 patients were diagnosed with definite RLS and 4 with probable RLS. There were no significant differences in age, medication dosage, or neuropsychological test scores between the patients with and without RLS symptoms. Conclusion: Approximately 42.9% of patients with ADHD presented with RLS symptoms and 7.1% of these were diagnosed with RLS. Patients with ADHD also experienced various other sleep disorders. Thus, appropriate assessment and treatment for sleep disorders in patients with ADHD is essential.
Does Buy-and-Hold Pay Off in Structured Products? An Analysis of Account-Level Transactions
Youngsoo Choi,Woojin Kim,Eunji Kwon 한국재무학회 2014 한국재무학회 학술대회 Vol.2014 No.05
This paper documents that median holding period in structured products based on market index is less than a day from initial purchase to liquidation even for retail investors. Less than 6% of all series ever traded by retail investors are held until maturity. More importantly, buy-and-hold strategies perform worse than frequent trading. Based on a unique proprietary dataset that provides the details of all transactions - including account identifier and direction of the trade - in the Korean ELW (equity linked warrant) market between 2009 and 2011, we find that both HFT (high frequency trader) accounts and non-HFT accounts perform worse when either average holding period is long or average end-of-the-day position is large. Such failure of buy-and-hold strategy likely reflects time decaying properties, i.e. theta, of option-like products. Our findings suggest that measuring expected returns for options simply assuming that they are held until maturity may underestimate the true expected return.
도영수(YoungSoo Dow),강종진(Jongjin Kang),이현동(HyeounDong Lee),권태석(Taesuk Kwon) 한국자동차공학회 2012 한국자동차공학회 부문종합 학술대회 Vol.2012 No.5
The power supply devices for battery charger of a green car are required for high efficiency and higher power density. Interleave PFC and LLC resonant converter come into the spotlight for battery charger of a green car, because the conventional PFC and the PSFB (Phase Shift Full Bridge) converter have difficulties for high efficiency and low switching noise. In this paper, the Development result for 3.3kW battery charger on green car is demonstrated and verified through an experimental result.