• 가정과삶의질연구
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• 제33권4호
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• pp.19-32
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• 2015

The purpose of this study is to examine the influence of the organizational characteristic and workers characteristics of Family Business Organization on its Business Performance. The subjects of this study were workers of healthy family support centers and multicultural family support centers. A survey was conducted from July 30th to September 30th. A total 372 materials were used for analysis of final data and SPSS(Statistical Package for the Social Sciences) WIN 18.0 program was employed in analyzing the collected data. As the result of analysing the effect of organizational characteristics and culture and characteristics of workers on business performance through hierarchical regression analysis, higher performance was achieved when the agency's organizational culture has the characteristics of a developed culture, and when the operating body is a school principal corporation rather than a non-profit corporation, and in the city rather than farming town, having enough information and external resources at the center, and when the job satisfaction of workers are high, and when organizational culture is more hierarchical. There were difference in the result of analysing the effect of organizational characteristic and culture and characteristic of workers on business performance. The level of service and business value of Family Service Organization was higher when the agency's organizational culture has the characteristics of a developed culture, hierarchical culture and agreement culture, and when operating body is a school principal corporation rather than a non-profit corporation, having enough information and external resources at the center, and the administrative skills of workers are higher. Business volume is increased when the operating body is a school principal corporation rather than a non-profit corporation, and in the city rather than farming town, and when the agency's organizational culture has the characteristics of hierarchical culture and agreement culture, having enough external resources at the center, and the practicing ability of workers are higher. When it comes to business efficiency, it is increased when the agency's organizational culture has the characteristics of developed culture and the job satisfaction of workers are high, having enough external and financial resources at the center. Therefore we will need to enhance business performance through improved management and job satisfaction of employees in organizational culture.

• KDI Journal of Economic Policy
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• 제32권3호
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• pp.1-32
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• 2010

본고에서는 글로벌 금융위기의 충격을 산출량에 장기적 중립성을 가지는 근원적 충격과 장기적 중립성을 가지지 않는 비근원적 충격으로 나누어 글로벌 금융위기 기간 중 근원적 충격이 물가안정목표 달성에 미친 영향을 분석하였다. 본고에서 보인 바와 같이 글로벌 금융위기가 수요에 미친 영향과 이로 인해 물가가 안정된 효과를 제대로 파악하지 못하면 향후 물가안정이 어려워질 수 있다. 농산물과 석유류 제품의 일시적 공급충격을 제거한 통상적 근원인플레이션을 기준으로 평가하면, 2007~09년 중 물가안정목표는 안정적으로 달성된 것처럼 보이고 향후 목표 달성도 무난해 보인다. 그러나 중앙은행의 통제 대상인 구조적 근원인플레이션을 기준으로 평가하면 매우 달라진다. 글로벌 금융위기를 전후한 수요충격으로 근원인플레이션이 크게 변동하였으며, 2007~09년 중 물가안정목표 달성은 글로벌 금융위기에 따른 마이너스 성장에 기인한 바가 크다. 또한 글로벌 금융위기 이후 각종 경기확대정책에 힘입어 경기가 빠르게 회복되면서 근원인플레이션이 급격하게 상승하고 있으므로 향후 적절한 출구전략을 마련해야 한다.

• 벤처창업연구
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• 제17권1호
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• pp.229-249
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• 2022

본 연구는 다양한 머신러닝 기법을 통해 코스닥(KOSDAQ) 시장 내 관리종목 지정을 예측할 수 있는 모델에 대해 연구하였다. 증권시장 내 기업이 관리종목으로 지정이 되면 시장에서는 이를 부정적인 정보로 인식하여 해당 기업과 투자자에게 손실을 가져오게 된다. 본 연구를 통해 기업의 재무적 데이터를 바탕으로 조기에 관리종목 지정을 예측하고, 투자자들의 포트폴리오 리스크 관리에 도움을 주기 위한 머신러닝 접근이 타당한지 살펴본다. 본 연구를 위해 활용한 독립변수는 수익성, 안정성, 활동성, 성장성을 나타내는 21개의 재무비율을 활용하였으며, K-IFRS가 적용된 2011년부터 2020년까지 관리종목과 비관리종목의 기업의 재무 데이터를 표본으로 추출하였다. 로지스틱 회귀분석, 의사결정나무, 서포트 벡터 머신, 랜덤 포레스트, LightGBM을 활용하여 관리종목 지정 예측 연구를 수행하였다. 연구결과는 분류 정확도가 82.73%인 LightGBM이 가장 우수한 예측 모형이었으며 분류 정확도가 가장 낮은 예측 모형은 정확도가 71.94%인 의사결정나무였다. 의사결정나무 기반 학습 모형의 변수 중요도의 상위 3개 변수를 확인한 결과 각 모형에서 공통적으로 나온 재무변수는 ROE(당기순이익), 자본금회전율(Capital stock turnover ratio)로 해당 재무변수가 관리종목 지정에 있어 상대적으로 중요한 변수임을 확인하였다. 대체적으로 앙상블을 이용한 학습 모형이 단일 학습 모형보다 예측 성능이 높은 것을 확인하였다. 기존 선행연구가 K-IFRS에 대한 고려를 하지 않았고, 다소 제한된 머신러닝에 의존하였다. 따라서 본 연구의 필요성과 함께 현실적 요구를 충족시키는 결과를 제시하였음을 알 수 있으며, 시장참여자들에게 있어 관리종목 지정에 대한 사전 예측을 확인할 수 있도록 기여했다고 볼 수 있다.

• 유통과학연구
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• 제20권9호
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• pp.83-95
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• 2022

Purpose: This study aims to explore an ability to time market-wide investor sentiment of mutual fund managers in an emerging market. Research design, data, and methodology: Based on data of Thai mutual fund market over the period of 2000-2019, our sample includes 283 equity funds, consisting of 204 bank-related funds and 79 nonbank-related funds. We perform our regression analyses at the aggregate and portfolio levels. Results: Under the non-normal distribution of return, we find different behaviors between the best- and worst-performing funds in an ability to time market-wide investor sentiment in Thailand, which is dissimilar to the findings in the U.S. Bottom fund managers act as sentiment hedgers, who decrease (increase) an exposure of investment portfolios when the investor sentiment is high (low). Oppositely, top fund managers are likely to chase investor sentiment. Conclusion: We find that only the worst-performing fund managers, especially for bank-related funds are able to time the market-wide investor sentiment. An advantage of gaining information from their bank's clients is a key success. A competition in the mutual fund industry, an ability to predict fundamentals, and financial literacy are possible reasons to explain the main findings found in this study.

• Management Science and Financial Engineering
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• 제14권2호
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• pp.1-12
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• 2008

This study explores several donor location strategies and discusses experiment results, which contributes to the saving of time and effort required in designing data fusion processes. In particular, three concepts are introduced. The Mahalanobis distance is applied to locate the nearest neighbors more effectively; which incorporates the covariance structure of attributes. The ideal point helps reduce the dimensionality problem that arises in conjoint-type experiments. The correspondence analysis is used to derive the coordinates from non-metric attributes. The Monte Carlo simulation results show that the proposed donor location strategies provide better fusion performance, compared to the currently-in-use methods.

• Management Science and Financial Engineering
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• 제14권2호
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• pp.89-104
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• 2008

Growth curves including Bass, Logistic and Gompertz functions are widely used in forecasting the market demand. Nonlinear least square method is often adopted for estimating the model parameters but it is difficult to set up the starting value for each parameter. If a wrong starting point is selected, the result may lead to erroneous forecasts. This paper proposes a method of selecting starting values for model parameters in estimating some growth curves by nonlinear least square method through grid search and transformation into linear regression model. Resealing the market data using the national economic index makes it possible to figure out the range of parameters and to utilize the grid search method. Application to some real data is also included, where the performance of our method is demonstrated.

• KDI Journal of Economic Policy
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• 제38권3호
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• pp.1-15
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• 2016

Improving the quality of school education is one of the key policy concerns in Korea. This paper examines whether providing schools with adequate autonomy and incentives can meet the policy goals by looking at a recent policy reform in Korea. In 2009, the Korean government granted autonomy to certain private high schools on the condition that no financial subsidies would be provided to the schools. Because the autonomous private high schools cannot receive a subsidy, they have a strong incentive to meet parental demands because schools failing to meet these demands will lose students and will have to close. Applying the value-added model to longitudinal data at the student level, I find that students entering these autonomous schools show faster growth in their academic achievement than their peers in traditional non-autonomous schools. These results suggest that providing schools with autonomy and incentives can be a useful policy tool for improving school education.

• 종양간호연구
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• 제11권3호
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• pp.193-199
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• 2011

Purpose: This study was aimed to examine mothers'knowledge about human papillomavirus (HPV)vaccination to prevent cervical cancer in Korea. Methods: From September 20 to October 10 2011, 101 mothers who have adolescent girls were surveyed with questionnaires about their general characteristics, the knowledge of HPV vaccine, inoculation rate and vaccination-related factors of their daughters. Results: The percentage of correct answers for HPV vaccine knowledge was 24.2% and the HPV vaccination rate was only 5.9%. HPV vaccine knowledge score of the vaccination group was significantly higher than that of the non-vaccinated group. Mothers said that the reasons why they didn't vaccinate their daughters against the HPV was the financial burden, the lack of HPV knowledge, and worries about possible side effects. The participants addressed that they understood the appropriate age for vaccination was sixteen. Conclusion: We recommend that more educational and promotional efforts need to be given for mothers in order to improve their knowledge of HPV vaccination and to increase the performance rates of HPV immunization against cervical cancer for their daughters.

• Management Science and Financial Engineering
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• 제20권2호
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• pp.7-12
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• 2014

Content Delivery Network (CDN) has evolved to overcome a network bottleneck and improve user perceived Quality of Service (QoS). A CDN replicates contents from the origin server to replica servers to reduce the overload of the origin server. CDN providers would try to achieve an acceptable performance at the least cost including the storage space or processing power. In this paper, we introduce a new optimization model for the CDN design problem considering the user perceived QoS and single path (non-bifurcated) routing constraints and analyze the computational complexity for some special cases.

• Communications for Statistical Applications and Methods
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• 제26권1호
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• pp.27-34
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• 2019

We study the effect of detrending on the coherency between two time series processes. Many economic and financial time series variables include nonstationary components; however, we analyze the two most popular cases of stochastic and deterministic trends. We analyze the asymptotic behavior of coherency under incorrect detrending, which includes the cases of first-differencing the deterministic trend process and, conversely, the time trend removal of the unit root process. A simulation study is performed to investigate the finite sample performance of the sample coherency due to incorrect detrending. Our work is expected to draw attention to the possible distortion of coherency when the series are incorrectly detrended. Further, our results can extend to various specification of trends in aggregate time series variables.