• 한국병원경영학회지
• /
• 제10권4호
• /
• pp.75-97
• /
• 2005

The research objective is to empirically investigate the compensation packages maximizing the utilities of internal customers by applying the market segmentation theory. Data was collected from four Korean hospitals in Seoul, Busan and Gyunggi-do. The research is designed to seek the compensation package maximizing the utility of doctors by mixture regression model, which has been applied as latent structure and other type of finite mixture models from various academic fields since early 1980s. The mixture regression model shows the optimal segments number and fuzzy classification for each observation by EM(expectation-maximization algorism). The finite mixture regression model is to unmix the sample, to identify the groups, and to estimate the parameters of the density function underlying the observed data within each group. The doctors were segmented into 5 groups by their preference for the compensation package. The results of this study imply that the utility of doctors increases with differentiated compensation package segmented by their preference.

• 한국수자원학회논문집
• /
• 제49권3호
• /
• pp.253-262
• /
• 2016

수위-유량 관계곡선(rating curve)은 수위표에서 관측된 수위 및 유량을 이용하여 만들어진 회귀분석식을 의미하며, 하천의 수위를 유량으로 환산하는 방법으로 일반적으로 활용되고 있다. 그러나 수위-유량 관계곡선식에서 저수위와 고수위와 분리 및 매개변수 추정에 있어 불확실성을 고려한 해석은 이루어지지 않고 있다. 이러한 이유로 본 연구에서는 수위-유량 관계곡선식에서 매개변수 추정 및 저 고수위 분리시 발생하는 문제점을 개선하기 위해 Bayesian 기법을 도입하였으며, 수위-유량 관계곡선식의 매개변수의 추정과 더불어 불확실성을 정량화 하는데 목적을 두었다. 이와 더불어 Bayesian 모형 기반 Multi-Segmented 수위-유량 관계곡선(Bayesian M-S)을 활용하여 저 고수위를 분리할 수 있는 새로운 수위-유량 관계곡선을 개발하고 기존 수위-유량 관계곡선과 비교 분석을 실시하였다. 그 결과 본 연구에서 개발한 Bayesian M-S 기법이 기존 수위-유량 관계곡선식 보다 개선된 결과를 도출할 수 있었으며, 수위-유량 관계곡선식의 신뢰구간을 제시하는데 유리한 것을 확인할 수 있었다.

• 보건행정학회지
• /
• 제1권1호
• /
• pp.19-26
• /
• 1991

Demographic variables have a great deal of impact on the utilization of health services. In this paper, the use of segmented polinomials is shown to be superior to the simple use of dummy variables and simple polinomials in explaining differences in health care utilization with respect to sex and age differences.

• 대한지리학회지
• /
• 제43권6호
• /
• pp.938-950
• /
• 2008

본 연구의 목적은 문화목적지 선택속성 추출과 집단별 시장세분화를 통해 문화목적지 선택속성과 여행만족도와의 영향관계 및 차이를 비교하는 것이다. 본 조사를 위한 설문은 기존 문헌연구와 데이터를 기초로 하여 개발되었으며, 설문조사는 부여와 공주지역을 중심으로 실시하였다. 연구결과에서는 문화목적지 선택속성이 6개로 추출되었으며, 군집분석에서는 3개의 그룹으로 세분화되었다. 다중회귀분석에서는 3개의 세분화된 집단과 여행 만족간의 관계를 알아보고자 Fisher's Z 값을 이용하였으며, 결과는 다음과 같다. 첫째, 문화 목적지 선택속성은 여행 만족도에 영향을 주는 요인으로 밝혀졌으며, 선택속성요인은 3개의 시장으로 세분화되었다. 둘째, 문화목적지 선택속성으로 세분화된 3개의 그룹은 여행 만족도에 영향을 주는 것으로 조사되었다. 따라서 세분화된 그룹 간 문화목적지 선택속성의 선택이 다르게 분석되었으며, 이와 관련한 문화관광을 하는 관광객들을 위한 상품과 서비스를 차별화 할 수 있는 마케팅적 정책과 방법을 강구하여야 할 것으로 보여진다.

• 한국의류학회지
• /
• 제24권8호
• /
• pp.1197-1208
• /
• 2000

The purpose of this study was to find out the effects of the accord between consumers benefit factors and attribute factors of brand image on brand attitude. This study was based on Kellers conceptualizing model of brand image. The subjects were 605 working women in their twenties living in Seoul, Korea. The data were analyzed by Euclidian distance model, ANOVA of repeated measures, regression, F-test by Extra Sum of Squares Principle. The results were as follows. 1. There were significant differences among the brands and among the segmented groups in the accord between benefit factors and attribute factors of brand image and in the brand preference. Moreover there were significant interactions between the brands and the segmented groups in the accord between benefit factors and attribute factors of brand image and in the brand preference. 2. There were significant effects of the accord between benefit factors and attribute factor of brand image on brand attitude. 3. There were significantly different effects of the accord between benefit factors and attribute factors of brand image on brand attitude among the segmented groups.

• 한국의류학회지
• /
• 제29권1호
• /
• pp.103-113
• /
• 2005

This study was intended to examine factor structure of value and clothing behavior and the effects of value on clothing behavior, to investigate clothing behavior and clothing purchasing behavior of the groups segmented by the value factors and the difference of those between male group and female group and to provide useful information for establishment of marketing strategies. The subjects were 575 university students. A total of 575 questionnaires was analyzed with factor analysis, cluster analysis, ANOVA, Duncan's multiple range test, ${\chi}^2-test$, regression analysis, and correlation analysis. The results were as follows: 1. Value was composed of 2 factors: personal orientation value and social orientation value. Clothing behavior were composed of 9 factors: interest, fashion, statue symbol, individuality, psychological dependence, comfort, aesthetic sense, economical efficiency, and social approval. 2. Clothing behavior and clothing purchasing behavior were significantly different among 3 groups segmented by 2 value factors. 3. The effects of value on clothing behavior was significantly different. 4. The effects of value on clothing behavior, clothing behavior and clothing purchasing behavior between male group and female group were different.

• 원예과학기술지
• /
• 제30권3호
• /
• pp.270-277
• /
• 2012

Greenhouse industry has been growing in many countries due to both the advantage of stable year-round crop production and increased demand for fresh vegetables. In greenhouse cultivation, $CO_2$ concentration plays an essential role in the photosynthesis process of crops. Continuous and accurate monitoring of $CO_2$ level in the greenhouse would improve profitability and reduce environmental impact, through optimum control of greenhouse $CO_2$ enrichment and efficient crop production, as compared with the conventional management practices without monitoring and control of $CO_2$ level. In this study, a mathematical model was developed to estimate the $CO_2$ emission from soil as affected by environmental factors in greenhouses. Among various model types evaluated, a linear regression model provided the best coefficient of determination. Selected predictor variables were solar radiation and relative humidity and exponential transformation of both. As a response variable in the model, the difference between $CO_2$ concentrations at the soil surface and 5-cm depth showed are latively strong relationship with the predictor variables. Segmented regression analysis showed that better models were obtained when the entire daily dataset was divided into segments of shorter time ranges, and best models were obtained for segmented data where more variability in solar radiation and humidity were present (i.e., after sun-rise, before sun-set) than other segments. To consider time delay in the response of $CO_2$ concentration, concept of time lag was implemented in the regression analysis. As a result, there was an improvement in the performance of the models as the coefficients of determination were 0.93 and 0.87 with segmented time frames for sun-rise and sun-set periods, respectively. Validation tests of the models to predict $CO_2$ emission from soil showed that the developed empirical model would be applicable to real-time monitoring and diagnosis of significant factors for $CO_2$ enrichment in a soil-based greenhouse.

• 한국임상약학회지
• /
• 제20권3호
• /
• pp.242-247
• /
• 2010

Controlling inappropriate antibiotics prescribing for acute upper respiratory infections(URI) is a very important for prudent use of antibiotics and resistance control. Health Insurance Review and Assessment Service (HIRA) introduced Prescribing Evaluation Program and publicly reported antibiotics prescribing rate for URI of each health institution. We performed segmented regression analysis of interrupted time series to estimate the effect of public report on antibiotics prescribing rate using national health insurance claims data. The results indicate that just before the public report period, clinics' monthly antibiotics prescribing rate for URI was 66.7%. Right after the public report, the estimated antibiotics prescribing rate dropped abruptly by 12.3%p. There was no significant changes in month-to-month trend in the prescribing rate before and after the intervention.

• 한국의류학회지
• /
• 제24권7호
• /
• pp.953-963
• /
• 2000

This study intended to analyse the factors of brand image and brand image positioning of domestic 20’s female apparel(formal wear) among the consumer groups segmented by benefits sought in apparel and to provide marketing strategy of brand image. The subject of this study were 605 working women in their 20’s living in seoul, and the model sampling was done by convenienced sampling method based on the subjects age and occupation. Survey based on references and former studies was used. and statistical methods such as frequency, percentage, mean, factor analysis, preference regression were applied. The results of this study were as follows. 1. The factor structures of brand image were classified into symbolism/aesthetics, and practicality. 2. Perception, ideal preference vector, and brand preference of brand image were proven to be significantly different among the four segmented consumer groups.

• Asia Marketing Journal
• /
• 제16권3호
• /
• pp.57-75
• /
• 2014

This paper explores the possibility of segmentation of consumers based on their quality expectations toward the automotive telematics service. Hypotheses on utilizing consumers' expectations toward the automotive telematics service for the market segmentation and linking the segments with optimal product designs are formulated. Samples are segmented based on their perceived service quality to the service attributes from various configurations of automotive telematics service. Then, a regression analysis on the segmented groups of users is performed to check whether they have qualitatively differing evaluation on the service quality. The result indicates that the proposed segmentation is operational and differing product attributes configuration is desirable according to the characteristics of the consumer segment. Hence, according to the characteristics of each consumer segment formed based on their expectation toward the telematics service, a product differentiation strategy of the automotive telematics system can be designed and be proposed to the product line designer.