• 대한가정학회지
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• 제42권8호
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• pp.123-132
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• 2004

The purpose of this research was to determine the relation between clothing evaluative criteria and personality types. Primary factor analysis was used to classify the clothing evaluative criteria and the continual scores of Myers Briggs Type Indicator (MBTI) were used for classifying the personality types. Correlation analysis and multiple regression analysis were used to determine the relation between the clothing evaluative criteria and the personality types. The data for this research were collected from questionnaires of 309 female university students in Seoul. In the results, the clothing evaluative criteria were grouped into 4 underlying dimensions： practical, situational, appearance producible and symbolic. Partially significant relations between the 4 clothing evaluative criteria and the 4 indicators of MBTI personality types were found through correlation analysis. Multiple regression analysis revealed that the variables explaining the dimension of Sensing and Intuition (SN) were appearance producible and symbolic clothing evaluative criteria; the appearance producible criterion had an inclination toward Intuition while the symbolic criterion had an inclination toward Sensing. The variable explaining the dimension of Judging and Perceiving (JP) was situational clothing evaluative criterion, which had an inclination toward Judging.

• The Journal of Asian Finance, Economics and Business
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• 제8권12호
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• pp.305-311
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• 2021

The purpose of this study is to examine and analyze product innovation and process innovation as an indicator of innovation that affects the performance of small and medium enterprises (SMEs). Government policy as a moderator of the effect of innovation on performance. This research was conducted during the COVID-19 pandemic. The population in this study are SMEs that produce clothes and t-shirts in Indonesia. Data collection is done through questionnaires and direct interviews. Online questionnaires were given to the managers and business owners. The sampling technique used is purposive sampling based on certain conditions of the research object, and in this study 100 business units were selected. The result of loading factor correlation between indicator and latent construct is significant. Hypothesis which explored the linear relationship between the construct variables was tested. Structural Equation Modeling (SEM) was used. The results of this study indicate that there is a positive relationship between innovation and business performance, and government policies have an important role as a full moderator in this relationship. The study findings concluded that the government policies are an important instrument in supporting the development of SMEs by innovating product and process innovation.

• 한국운동역학회지
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• 제30권4호
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• pp.301-309
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• 2020

Objective: This study aimed to investigate the effect of white noise on dynamic balance in patients with stroke during walking. Method: Nineteen patients with chronic stroke (age: 61.2±9.8 years, height: 164.4±7.4 cm, weight: 61.1±9.4 kg, paretic side (R/L): 11/8, duration: 11.6±4.9 years) were included as study participants. Auditory stimulus used white noise, and all participants listened for 40 minutes mixing six types of natural sounds with random sounds. The dynamic balancing ability was evaluated while all participants walked before and after listening to white noise. The variables were the center of pressure (CoP), the center of mass (CoM), CoP-CoM inclined angle. Results: There is a significant increase in the antero-posterior (A-P) CoP range, A-P inclination angle, and gait speed on the paretic and non-paretic sides following white noise intervention (p<.05). Conclusion: Our findings confirmed the positive effect of using white noise as auditory stimulus through a more objective and quantitative assessment using CoP-CoM inclination angle as an evaluation indicator for assessing dynamic balance in patients with chronic stroke. The A-P and M-L inclination angle can be employed as a useful indicator for evaluating other exercise programs and intervention methods for functional enhancement of patients with chronic stroke in terms of their effects on dynamic balance and effectiveness.

• 산경연구논집
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• 제11권4호
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• pp.39-46
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• 2020

Purpose: This study looks at the relevance between discretionary revenue and book-tax differences (hereafter BTDs). While the study of earnings management, which focused on discretionary accruals and real earnings management, has largely made, it has not yet been actively researched on discretionary revenues. Therefore, it was believed that discretionary revenue would expand the preceding study by looking at its relevance to BTD, known as financial reporting quality and measures of tax avoidance. In general, prior research suggested that earnings management make BTDs larger. Thus, the relationship between discretionary revenue and the amount of BTD is predicted positive. Research design, data and methodology: To this end, the method of discretionary revenues was used and BTDs measured in four ways. First, Earnings before income tax - estimated taxable income divided by total asset (BTD). Second is fractional rank variable of BTDs (FBTD). Third is Indicator variable equals 1 if the firm-year has a positive BTD, 0 otherwise (PBTD). Fourth is that Indicator variable equals 1 if the firm-year has a BTDs in top(bottom) quartile, 0 otherwise (LPBTD, LNBTD). 4,251 samples were analyzed in the Korean Security market (KOSPI) from 2003 to 2014. Results Empirical analysis shows that BTDs increases as discretionary revenue increases. These results were equally observed when BTDs was measured as a ranking variable or as a indicating variable. These results indicate that earnings management through the revenue of managers exacerbate the quality of financial reporting. Conclusions: In sum, discretionary revenues can be used as an indicator of making BTDs larger and meaningful as the first study of the Korean capital market where discretionary revenues affect accounting information quality. Investors need to increase interest in discretionary revenues because intervention in financial reporting through revenue accounts by managers can increase information asymmetry and agency costs. This means that studies on discretionary revenues that have been relatively small should be expanded. The results also provide important implications for the relevant authorities and investors. Despite these benefits, however, measurement error problems with estimates still appear as limited points, and prudent interpretations are required, and additional follow-up studies are needed in that variables that are not yet considered in this study may affect our findings.

• 한국수자원학회논문집
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• 제37권3호
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• pp.173-184
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• 2004

기상예보모형 중 장기예측에 널리 사용되는 CGM모의결과를 이용하여 확률론적 불확실성 해석기법의 적용을 통해 유역단위로 관리되는 국내 수자원 운영에 대한 활용 가능성을 분석하였다. 연구된 기법은 GCM 모의값이 관측값의 크고 작음을 얼마나 잘 구분하는지를 확률적으로 분석하는 방법으로 Kolmogorov-Smirnov 검정을 사용한다. GCM 모의값으로는 ECMWF에서 AMIP-II 형태로 모의한 결과로부터 표면강수량을 추출하여 사용하였으며, 관측값은 국내 7개 유역에 대해 면적강우량을 산정하여 사용하였다. 또한, 어느 정도의 구분능력이 적정한가를 판단하기 위한 유의수준(significance threshold)을 결정하기 위해 Monte Carlo 모의를 사용하였다. 이러한 분석을 통해 우리나라의 7개 유역에 대해서는 ECMWF 의 GCM 자료가 우기(6월∼9월)에 대해 인근 노드점의 자료를 평균하여 사용되어 질 경우 효율적인 것으로 나타났으나, 건기(10월∼5월)의 경우 구분 능력이 부족한 것으로 판단된다.

• 한국산림과학회지
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• 제99권4호
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• pp.508-516
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• 2010

2007년 국립공원 입장료 폐지 후 한라산국립공원 탐방객이 지속적으로 증가함에 따라 적정 이용 수준에 대한 관심이 높아졌다. 본 연구는 한라산국립공원의 적정 수용력 관리에 필요한 영향지표 및 평가기준과 이를 활용할 수 있는 수용력 지표관리프로그램 개발을 위해 수행되었다. 전문가 설문조사를 통해 8개의 영향지표(계곡수질, 탐방객 수, 탐방로 훼손정도, 혼잡 등)를 선정하였으며, 각 영향지표별 현지 조사를 통해 실험적 평가기준을 제시하였다. VERP 모델을 이용한 수용력 지표관리프로그램은 자원 및 탐방행태 변화에 대한 과학적인 분석과 국립공원의 지속 가능성을 평가하는데 효율적일 것이다. 또한, 통합 데이터 관리 및 활용으로 데이터를 체계적으로 관리하여 합리적인 의사결정을 내릴 수 있는 업무수행을 지원한다.

• 한국대기환경학회지
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• 제23권5호
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• pp.563-574
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• 2007

There seems to be a consensus among most people that visibility impairment is the most obvious indicator of air pollution. While considerable evidence on the association between air pollution and health outcomes including death and disease have been established, based on industrial complex areas or huge urban cities, time-series, case-crossover and cohort studies, scarce literature exists on the direct evidence for the association between visibility and adverse health outcomes. Our study is assessed the effect of air pollution measured by visibility impairment on respiratory mortality over a period of six years. Relative risks in respiratory deaths were estimated by a Poisson regression model of daily deaths between $1999{\sim}2004$. Daily counts of respiratory deaths as dependent variable was modelled with daily 24-hr mean visibility measurements (kilometers) as independent variable by means of Poisson regression. This model is controlled for confounding factors such as day of weeks, weather variables, seasonal variables and $PM_{10}$. The results in this study is observed the statistically significant association between an inverse health effect and visibility during the study period for respiratory mortality (percentage change in the relative risk for all aged -0.57%, 95% Cl, $-1.01%{\sim}-0.12%$; for $0{\sim}15$ aged -7.12%, 95% Cl, $-13.29%{\sim}-0.51%$; for 65+ aged -0.43%, 95% Cl, $-0.93%{\sim}-0.06%$ per 1 km increased in visibility). The effect size was much reduced during warm season. Visibility impairment resulting from air pollution is strongly associated with respiratory mortality, especially for children may be spent at outdoor. Our result provides a quick and useful indicator for eliciting the contribution of air pollution to the excess risk of respiratory mortality in Seoul, Korea.

• 대한간호학회지
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• 제16권2호
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• pp.44-52
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• 1986

Maternal and child health(MCH) status is considered as an important indicator of the level of health and civilization of a community and a country. MCH services for the rural population in the remote ar deserves priority by the government, since more than half(52.9%) of the delivery was occured at home and almost half (45.5%) of the delivery was assited by family members or neighbors. The purpose of the study was to analyse the health fare behavior related to pregnancy and delivery, which can be contributed maternal health care policy mating for the rural people. Specifically, it was intended to analyze the variables which affect the health care behavior in selecting birth places and birth attendants. This study utilized the data which had been already collected for an experimental study on primary health program model in Korean rural communities, funded by the USAID. 184 sample households with women who had delivered a baby during March 1982 to February 1983 were selected. Discriminant Analysis was employed for statistical analysis by utilizing SPSS computer package program. Birth places and birth attendants were considered as dependent variables. Among 12 independent variables in 5 groups considered, 7 independent variables were found statistically significant to affect the selection of birth place. Significant variables by the order of importance are mother's age, order of baby, number of prenatal care, accessibility of emergency medical care, coverage of medical insurance, mother's membership in community organization and husband's educational level. The degree of correct classification of the grouped cases by employing a discriminant . analysis was significantly improved to 78.2％ in comparison to Cmax（56%) and Cpro(51%). Policy implications for each significant variable were discussed to improve the maternal and child health. in Korean ruralarea.

• 한국경영과학회지
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• 제39권4호
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• pp.115-136
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• 2014

The game industry has grown steadily and the online game has become one of the most attractive game segments for its remarkable growth. Customer management in the online game industry, however, has received little attention from the academic field. The purpose of this study is to analyze the drivers of customer defection in the online game setting and suggest not only theoretical but also managerial insights into increasing customer retention rates. Prior to empirical analysis, the authors hypothesized that 3 variables of interests (Learning, Playing, Achievement) would explain the customer defection according to preceeding researches. To demonstrate these hypotheses, the authors obtained data from one of the biggest game publishers in Korea, and the empirical analysis model was developed considering context of research settings. The results of analyses provide the following insights. First, the key behavioral variables of Learning, Playing, and Achievement play substantial roles in explaining the customer defection. Next, the effects of these variables vary between customer types: novice and experienced customers. The defection decisions by novice customers are predicted by all key behavioral variables and Playing serves as the most influential indicator of the defection decisions. However, experienced customers are influenced by Playing and Achievement, while Learning has no impact on the defection decisions. Finally, the authors investigated hypothetical customer retention strategies, using the empirical results. The market outcomes indicate that the customer retention strategies work well with novice customers and it is hard-to-impossible to prevent experienced customers from defection using their behavioral data. These findings together deliver several meaningful insights to management as follow. First, the management should support customers to get involved in Learning activities at the very first stage. Second, customer's Achievement and appropriate compensation for it would work as defection barriers. Last, to optimize the outcomes of firm's marketing investments, it is better to focus on retention of novice users not experienced ones.

• 한국병원경영학회지
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• 제14권2호
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• pp.1-20
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• 2009

The purpose of this study is to find the determinant variables to make profitability in regional public hospitals. The data come from financial statements and annual reports of 34 regional public hospitals for five years (from year 2003 to year 2007). The T or F-test and hierarchical multiple regression analysis are used. The dependant variables are the profitability indicators, ordinary income to total asset and operating margin to gross revenue, and the independent variables are general characteristics, diagnosis and treatment patterns, financial and public benefits. The findings of this study are summarized as follows. First, Variables affecting the profitability indexes revealed from DEA results is the bed occupancy rate, number of hospitalized patients to outpatients, ratio of first medical examination for outpatients, number of daily patients per medical specialist, labor cost per patient and managerial expenses per patient. Second, the ordinary income to total asset representing the asset usage performance is affected by the average hospitalized days, bed occupancy rate, labor cost per patient and ratio of patients with medical insurance coverage. Third, the operating martin to gross revenue obtained from the actual operations of hospitals has its significance with the bed occupancy rate, number of hospitalized patients to outpatients, managerial expenses per patient and public benefit indicator. This study has some restriction not to use pannel data analysis, although it used data for five years. Accordingly, various additional studies should be done to supplement such problems.