• 국제지역연구
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• 제12권3호
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• pp.321-339
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• 2008

본 연구는 소비자 선택행위에 대한 설명과 예측에 유용한 이산적 선택모델들 중 널리 알려진 다항 로짓모형(Multinomial Logit Model)을 통해 소비자의 특성과 구매 행동을 분석하는데 그 목적이 있다. 본 연구에서는 미용화장지 시장을 중심으로 제조업자 브랜와 유통업자 브랜드간 경쟁상황을 파악하고 어떤 인구 통계적 특성과 마케팅 변수들이 소비자들의 브랜드 선택에 영향을 미치는가를 파악하고자 한다. 이를 위하여 개개인의 시점별 구매기록이 담겨진 패널(panel) 자료를 연구목적에 맞도록 재구성하고 소비자의 구매시점별 브랜드 선택 확률 및 이에 영향을 미치는 요인들에 대한 분석을 진행하였다. 실증분석 결과 구매자의 연령과 소득이 높을수록 제조업자 브랜드 구매확률이 높아지는 것으로 나타났다. 또한 구매 장소가 달라짐에 따라 브랜드 선택에 중요한 영향을 미치는데, 백화점이나 대형할인점에서는 유통업자 브랜드를 선택하는 것으로 확인되었다. 판매촉진의 경우에는 고소득자는 오히려 구매확률이 낮아지는 것으로 나타났으며, 판매촉진의 형태가 사은품일 경우보다 가격할인이 일어날 경우에 구매확률이 더 높아지는 것으로 나타났다. 한편, 구매단계별 분석결과를 살펴보면, 유명제조업자 브랜드 충성고객은 가격이 높을수록 구매확률이 증가하고, 유통업자 브랜드를 지속적으로 구매하는 고객은 가격할인을 통한 판매촉진에 영향을 많이 받는 것으로 나타났다.

• 한국IT서비스학회지
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• 제10권4호
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• pp.119-131
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• 2011

When your company buys packaged software, the company needs to determine how many software licenses must be purchased. If the quantity is too small, it will be not enough for the users to access the programs at anytime within the company. Conversely, if the quantity is too large, they will waste a lot of money. In this paper, we surveyed several number of researchers of K institute and derived the using pattern of a specific packaged software. We estimated a proper number of packaged software licenses by Erlang Loss Function, the Engset Model, and simulation model. With the results of the three methodologies, we were able to empirically verify economic benefits of packaged software purchase by comparing NPV (Net Present Value) between user licenses and network licenses. Consequently, TCO of user licenses is much higher than that of network licenses. We had probabilistically calculated proper number of licenses based on the using pattern of users. Hence, this paper will be useful for decision makers who are going to determine package software's type and quantity from an economic perspective.

• 한국가금학회지
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• 제28권3호
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• pp.193-205
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• 2001

The most prevailing consumption pattern of chicken was "Buy fresh and cook at home (79.8%)". The frequency of eating chicken dish was about "Twice a month". Total average of degree of Preference is "2.30". It is very much close to "Like (2.0)" rather than "Average (3.0)". The degree of preference of chicken decrease as the age increase. About 30% of the housewives have the experience of buying chicken "Cut-up". But "Whole chicken (79.7%)" was still used mostly for chicken dish at home. As the education background improves or living expense increases, housewives purchase chicken "Cup-up" more frequently. The major criteria in purchasing chicken was "Hygiene (67.4%)""Quality (55.2%), "Expiration date (36.7%)" follows next. The groups of ′Above 50 years′, ′Graduate school′ and ′More than 3 million won′show greater interest about "Health" than any other groups. Major chicken dish at home in Korea was "Chopped hot chicken (70.7%)". "Boiled chicken soup (43.2%) \" and "Ginseng chicken soup (39.3%)" follows next. "Order for delivery (57.4%)" increased rapidly for chicken consumption. Croup of ′20~30 years′ order chickens for delivery more frequently than other groups. But as the age of housewives increases, they cook at home more frequently. The most preferred chicken dish for dining-out were "Fried chicken (69.4%)" and "Spicy chicken (57.4%)". The preference of Korean traditional dish for dining out was decreasing except "Chuncheon chicken rib (14.2%)".2%)".

• Journal of Nutrition and Health
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• 제40권7호
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• pp.650-657
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• 2007

The survey was conducted to investigate athletes# beverage drinking pattern and their knowledge concerning hydration and fluid replacement. The subjects were 371 collegiate athletes (235 males and 136 females) in Seoul and Daejun area. The mean age of the athletes was 20.44 y. The prevalence of sports drink use among subjects at ordinary time, after training, and after competition were 9.0%, 17.1%, and 57.3% respectively. Primary source of sports drink information were advertisement (57.3%), friends or colleagues (14.9%), and coaches (7.0%) The purchase of sports drink was done by athletes themselves (76.0%) and coaches (22.6%). The most influential factor in choice of sports drink was taste (61.5%), brand name (15.1%), composition (12.4%), and advertisement (6.7%) However, only 9.5% of the subjects answered they know well about the sports drink they are drinking. To the 15 questions to survey the nutritional knowledge about fluid and intake of sports drink, subjects responded correctly to 58.47%. Their sex or experiences of nutrition education didn#t affect to their knowledge. As the result, the prevalence of collegiate athletes# sports drink use was high but their knowledge about it was not sufficient. These results suggest that an effective and practical nutrition education for adequate hydration and choice of sports drink for atheletes should be considered.

• 한국통신학회논문지
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• 제41권7호
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• pp.768-774
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• 2016

본 논문에서는 개인화 서비스를 제공하기 위해 책, 음악, 영화 등과 같이 단일 항목을 추천하는 기존 방법의 한계를 극복하고, 패션, 요리 등과 같이 연관성에 따른 항목의 조합, 즉 그룹을 추천하는 방법을 다룬다. 협업 필터링은 사용자 간의 유사도를 측정하여 비슷한 성향의 사용자들이 선택한 항목을 추천하는 방법이며, 사용자의 성향을 예측할 수 있다는 장점이 있다. 본 논문에서는 이러한 협업 필터링과 연관 규칙을 바탕으로 빈발 항목 집합을 생성하고, 그룹 간의 유사도에 따라 그룹을 추천하는 알고리즘을 제안한다. 제안하는 방법의 타당성을 검증하기 위하여 의류 전자상거래에서 4개월 동안 소비자가 구매한 목록 데이터로 실험을 수행하였다.

• 한국의상디자인학회지
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• 제7권3호
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• pp.27-37
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• 2005

This study is aimed at the ready-mades size system and satisfaction of consumers size for woman's wear at domestic market which are made by public production systems. This study, particularly, is focused on jacket of 20-30 aged woman's wear in twenties & thirties female clothe. The procedures of this study are as follows; 1. Select 25 domestic clothing companies that its product has targeted in twenties & thirties female and investigate the system of each pattern size 2. Select 259 female in twenties & thirties randomly in Seoul survey a standad of females jacket purchase. Analysis of this study is based on SPSS statistics program, technical statistics, $X^2$ and ANOVA verification. The results of studying are as follows; 1. The survey of pattern size of the domestic females clothing companies has shown some distinctive feature at age and body type of their consumers. 2. Crucial point of female consumers in twenties & thirties is a design and fitness of their jacket while they are purchasing their jacket. 3. Female consumers have some dissatisfaction for the variety of size, difficulty of purchasing and size of bust, shoulder & length of arms of their jacket.

• 패션비즈니스
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• 제12권6호
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• pp.124-137
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• 2008

The present study was implemented to understand high school girls' buying patterns of fashion products at online and offline shopping malls; and to obtain the information needed for the development of online and offline mall marketing strategies that are differentiated from each other. The study was conducted through a descriptive survey method using questionnaires. The sample consisted of 242 girls from four high schools located in Seoul. Descriptive statistics, cross-tabulation and a paired t-test were used for the analysis of the data. Results are as follows: First, most of the high school girls (82.2%) had experience of purchasing fashion products at online shopping malls. And, those who have purchasing experience at online shopping malls, compared to those who do not have such purchasing experience, showed a higher purchasing intension at online shopping malls. Second, both the degree of pre-purchase searching and ongoing searching was higher in online shopping than in offline shopping. Third, the quality of material, place produced, brand name, and store atmosphere/type were considered more in offline shopping than in online shopping. Shopping convenience and information service about the products were considered more in online shopping than in offline shopping. Fourth, the purchasing frequency of underwear and hair accessaries was higher at offline stores than online shopping malls, but the purchasing frequency of bags was higher in online stores than offline stores. When the differences between the purchasing patterns at online shopping malls and offline stores are considered carefully, marketing activities would be more effective.

• 한국의류학회지
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• 제29권8호
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• pp.1068-1078
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• 2005

The purpose of this study was to analyze the production process of 12 domestic companies that manufacture women's knitwear and the degree of satisfaction of the middle-anged women who purchase knitted Jacket. Three hundred questionnaires were distributed and a total of 276 usable data were coded for further statistical analysis including descriptive statistics (frequency and one way- ANOVA test) by using SPSSWIN 10.1. It was found that the price satisfaction of knitted jacket was low because of imported yarn and production methods(i .e., 1inking, sewing, etc.). Therefore, it is necessary to develop that domestic yam and improve production methods. Another finding ot the study demonstrated that the size of knitted jacket was a little tight for the middle-aged women on the circumstance size(i.e., bust, waist, etc.) while majority of the respondents felt that the areas such as sleeve and shoulder seemed a little bit longer than their size. It should be designed in such that the physical characteristics of knitted materials are considered when pattern is made. Clothing companies should make an effort to effort more information about the knitted jacket and develop pattern suitable for the body shape of the middle-aged women.

• 농업과학연구
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• 제47권4호
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• pp.769-782
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• 2020

Interest in fruit and vegetables has increased due to changes in consumer consumption patterns, socioeconomic status, and family structure. This study determined the factors influencing the demand for fruit and vegetables (strawberries, paprika, tomatoes and cherry tomatoes) using a panel of Rural Development Administration household-level purchases from 2010 to 2018 and compared the ability to the prediction performance. An artificial neural network model was constructed, linking household characteristics with final food expenditure. Comparing the analysis results of the artificial neural network with the results of the panel model showed that the artificial neural network accurately predicted the pattern of the consumer panel data rather than the fixed effect model. In addition, the prediction for strawberries was found to be heavily affected by the number of families, retail places and income, while the prediction for paprika was largely affected by income, age and retail conditions. In the case of the prediction for tomatoes, they were greatly affected by age, income and place of purchase, and the prediction for cherry tomatoes was found to be affected by age, number of families and retail conditions. Therefore, a more accurate analysis of the consumer consumption pattern was possible through the artificial neural network model, which could be used as basic data for decision making.

• 한국의류학회지
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• 제12권1호
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• pp.53-68
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• 1988

The purpose of this study was to investigate the clothing buying behaviorial pattern and the differences of clothing buying behaviors by the demographic variables. For the measurement of clothing buying behavior, the researcher developed a questionnaire. This questionnaire was adjusted by preliminary test. Data were collected from 494 women dwelling in Seoul, Busan, Daegu. For statistical analysis, frequency, percentage, average, standard deviation, paired t-test, $X^2-test$, one way analysis of variance, Duncan's multiple range test were used. The results were as follows: 1. The $57\%$ of the subject group planned their clothing purchase in advance, ana their friends affected clothing buying behaviors more than other fashion information sources. The store in which the subject group purchased clothing most frequently was a department store. In clothing selection, hygienic factor and aesthetic factor were shown as important factors. 2, There were significant differences in clothing buying behaviors according to demographic variables.