• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.7
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• pp.929-940
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• 1999

The purpose of this study is to clarify the substance of clothing attributes which influence the preference and purchase intentions of consumer's on the clothing products and to analyze the influence of such attributes. The subjects of this study are 434 students and formal survey methodologies were used in collecting data. Moreover SAS Package(Ver 6,12) Program was used for analysis and various methods such as factor analysis cluster analysis ANOVA Scheffe test conjoint analysis multiple regression correlation analysis and {{{{ chi ^2 }}-test were followed. The results of this study were as follows : 1) Clothing involvement consists of the affective factor and the cognitive factor 2) The consumers were divided into three groups with regards to the degree of their clothing involvement : those are the high cognitive and high affective involvement group the low cognitive and high affective involvement group and the low cognitive and low affective involvement group 3) The objective attributes of clothing were determined by such factors as price brand style and color whereas the subjective and fashionability 4) Significant differences were found regarding the importance of such clothing attributes among these groups 5) Partial significant differences were found regarding the importance of such clothing attributes among these groups. 5) Partial significant differences were found with regards to the influence of the objective attributes on the subjective attributes among these groups 6) Partial significant differences were found with regards to the influence of clothing attributes on the preference and purchase intentions among these groups. 7) There were differences in the correlation of preference and purchase intentions among these groups : such among these groups with regards to the demographic characteristics of these groups.

• Culinary science and hospitality research
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• v.23 no.7
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• pp.149-158
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• 2017

This study aimed to develop food truck concept based on demographic characteristics by using conjoint analysis. This study investigated the attributes importance and attributes level based on gender, age and income. Results of the research were following. First, as a result of analyzing the attributes importance and attributes level of gender, age, and income, it found that the price was more important than the type of food. The shape of food, a design of the truck and service are the following features of the attributes importance. Second, in the entire of market analysis, packaging was the most important factor next to the price and the food shape. Third, according to gender analysis, male and female prefer Korean style with price range of 5,000~7,000 won. Men prefer take - out menu such as plastic packaging and traditional truck design. Also, the study showed that women prefer having a meal at restaurant, paper packaging style and modern design. Fourth, according to the age analysis results, all of ages group prefer the price range of 5,000~7,000 won except for people who are 60s and beyond. Also, in the food type, people prefer Western style in their 20s, Japanese style in their 30s and Korean style in their 40s, 50s, 60s. Fifth, according to income analysis, Western menus with income of 4,000,000~5,000,000won are preferred a price range of 7,000~10,000won and Japanese menus with income more than 5,000,000won are preferred a price range of 7,000~10,000won.

• Korean Institute of Interior Design Journal
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• v.13 no.2
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• pp.109-119
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• 2004

This study was intended to grasp the housing unit plan which the residents preferred. The subjects were 100 housewives who lived in 85$m^2$ sized housing units in the New Apartment Complex, Gimhae. First, four elements of unit plan were selected on the basis of the results of the POE which was carried out for the same subject the size of master bedroom and living room, the openness of dining/kitchen from living room, the openness of living room from entrance, and whether or not a bathtub or a shower booth is in bathroom. Then, eight design alternatives of unit plan made by combination of these four elements according to orthoplan were visualized by computer media. This visualized tool was used for collecting data. The results of the study were as follows: The important determinants of the residents' preferences for unit plan were the size of master bedroom and living room and the openness of living room from entrance. The residents preferred the unit plan which living room was large and the view from living room to dining/kitchen was open. Also, the important elements were different according to the characteristics of the residents. Therefore, the housing alternatives which are flexible and optional would be desirable.

• Journal of Distribution Science
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• v.4 no.1
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• pp.103-120
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• 2006

This study is composed of analyses about whether intensifying the attribute level of alternatives presented to consumers makes the effect of intensifying attributes and there is any significant difference among effects of the intensified attributes. For this, the most favorite alternative is extracted from each group of computers and jeans through conjoint analysis, which is used as a standard alternative during the process of experimentation. In conclusion, this research suggests that in terms of business, by intensifying the latter attribute of products rather than the early attribute, an enterprise acquire distinct and competitive superiority over similar competing products (esp. functional products), and theoretically, by expanding and analyzing decision models it can predict consumers' behaviors more correctly.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.5-8
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• 2003

This paper presents a methodology to be able to select an appropriate RP system that suits the end use of a part. Evaluation factors used in process selection include major attributes such as accuracy, roughness, strength, elongation, part cost and build time that greatly affect the performance of RP systems. Crisp values such as accuracy and surface roughness are obtained with a new test part developed. The test part is designed with conjoint analysis to reflect users' preference. The part cost and build time that have approximate ranges due to cost and many variable parameters are presented by linguistic values that can be described with triangular fuzzy numbers. Based on the evaluation values obtained, an appropriate RP process for a specific part application is selected by using the modified TOPSIS(Technique of Order Preference by Similarity to Ideal Solution) method. It uses crisp data as well as linguistic variables, and each weight on the alternatives is assigned by using pair-wise comparison matrix. The ranking order helps the decision making of the selection of RP systems.

• The Journal of Fisheries Business Administration
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• v.40 no.2
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• pp.27-48
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• 2009

The objective of this paper is to estimate consumer's marginal willingness to pay(MWTP) for cold chain system attributes of mackerel using choice experiment questionnaires. The survey data were analyzed by conjoint analysis method with multinominal logit model. The five cold chain system attributes with $2{\sim}4$ attribute levels were considered : low temperature safekeeping of fishing boats, a kind of transport truck and packing box, using degree of low temperature facility in distribution, mackerel price per fish(1kg). At least 827 people were asked to participate in the survey. The major findings and implications of this study can be summarized as follows : The estimated multinominal logit model is statistically significant and the total consumers willingness to pay for the improved cold chain system attributes is 6,476 won (per kg). Compared with the base price(2,500 won/kg), the estimated MWTP is 2.5 times higher than the base price. Therefore, the consumer has a willingness to pay for the fresh and safe fish products, even though more money is paid. To satisfy the consumer's needs, cold chain system is necessary in point of long-term. In this reason, The government's policy support is needed for promoting cold chain system in fishery, and a master plan should be prepared.

• Journal of the Korea Society of Computer and Information
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• v.23 no.12
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• pp.227-232
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• 2018

The purpose of this study is to empirically measure the consumer response to mobile phone price changes in small and medium cities that have been alienated from Chinese marketing research. To do this, we measured price response through consumer survey based on conjoint analysis. The results of this study are as follows. First, it show a typical pattern in which the part-worth decreases as the price increases. This suggests that there is room for improvement in profitability through pricing strategy for small and medium cities. Second, the decrease of the utility value according to the price increase was different for each city. This implies that difference of price response by city should be used strategically when planning price tactics. This study has contributed to understanding the expansion of research subjects from large cities to small cities and the price response phenomenon of small cities. And it will provide basic data on price response to mobile phone marketers of small and medium cities.

• Culinary science and hospitality research
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• v.15 no.3
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• pp.179-196
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• 2009

As consumers are more conscious about the preferred traits and branding in restaurant selection, restaurant practitioners are getting more interested in the traits which constitute and influence consumers' brand association. Dining selection is known to be a complicated psychological process that consumers undergo, incorporating social and cultural values, personal tastes, and other psychological factors. This study was designed to investigate the specific non-food traits perceived by consumers in fine restaurant selection. Also, it prioritized those examined traits. Building on exploratory qualitative research, results from 11 interviews through focus group sessions were utilized in data analysis. Content analysis of the interviews enabled categorization of the associations. The categorized variables were utilized for empirical data analysis of conjoint analysis. First, the results suggested five superior traits such as atmosphere, price, customer relations, employee competence, and convenience of systems in fine restaurant brand association. Second, they were prioritized in the order of atmosphere, price, consumer relations, employee competence, and convenience. Finally this study provided practical implications for fine restaurant professionals in linking consumers' psychologically networked traits to brand selection.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.583-583
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• 2016

다양한 평가지표가 반영된 복합 지수(Composite Index)는 물관리 정책의 우선순위 결정 및 정책성과의 모니터링에 유용한 도구로 사용되고 있다. 각 지표별 중요도를 나타내는 가중치는 최종 지수의 산정에 영향을 미칠 수 있으며, 그 결정방법도 Data Envelopment Analysis(DEA), Benefit of doubt Approach(BOD), Unobserved Component Model(UCM), Budget Allocation Process(BAP), Analytic Hierarchy Process(AHP), Conjoint Analysis(CA) 등 다양하다. 본 연구에서는 여러 가지 가중치 결정방법 중 통계적 방법인 주성분 분석(Principal Component Analysis, PCA)을 사용하여 Park et al.(2016)이 제시한 물관리 탄력성 지수(Water Management Resilience Index, WMRI)에 대한 가중치를 산정하여 동일 가중치를 적용한 기존 결과와 비교하였다. 물관리 탄력성 지수는 자연조건상 물관리 취약성(Vulnerability), 기존 수자원 인프라의 견고성(Robustness), 물위기 적응전략의 다양성(Redundancy)의 3가지 부지수(sub-index)는 각각 13개, 11개, 7개의 지표(Indicator)로 구성되어 있으며, 117개 중권역을 다목적댐 하류 본류유역(범주 1), 용수공급 및 유량조절이 불가능한 지류(범주 2)와 가능한 지류(범주 3)로 분류하여 적용되었다. 각 부지수별로 추출된 3개, 5개, 3개의 주성분이 전체 자료의 76.4%, 71.2%, 63.2%를 설명하는 것으로 분석되었으며 부지수별 주성분의 고유벡터(Eigenvector)와 고유값(Eigenvalue)를 계산하고 각 지표의 가중치를 산정하였다. 주성분 분석에 의한 가중치와 동일 가중치를 적용하였을 경우와 비교해보면 취약성 부지수 1.9%, 견고성 부지수 1.9%, 다양성 부지수 2.1%의 차이가 나타나며 물관리 탄력성 지수는 0.4%의 차이를 보임에 따라 Park et al.이 제시한 연구결과의 적정성을 확인할 수 있었다. 주성분 분석은 객관적인 가중치 설정을 위한 통계적 접근방법의 하나로써 다양한 물관리 정책지수 산정시 활용될 수 있을 것이며, 향후 다른 가중치 산정방법을 적용함으로써 각 방법에 따른 지수 결과의 민감도 및 장단점을 분석할 수 있을 것으로 판단된다.

• Journal of the Korean Geographical Society
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• v.30 no.3
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• pp.296-310
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• 1995

Classification of spatial units into meaningful sets is an important procedure in spatial analysis. It is crucial in characterizing and identifying spatial structures. But traditional classification methods such as cluster analysis require an exact database and impose a clear-cut boundary between classes. Scrutiny of realistic classification problems, however, reveals that available infermation may be vague and that the boundary may be ambiguous. The weakness of conventional methods is that they fail to capture the fuzzy data and the transition between classes. Fuzzy subsets theory is useful for solving these problems. This paper aims to come to the understanding of theoretical foundations of fuzzy spatial analysis, and to find the characteristics of fuzzy classification methods. It attempts to do so through the literature review and the case study of urban classification of the Cities and Eups of Kyung-Nam Province. The main findings are summarized as follows: 1. Following Dubois and Prade, fuzzy information has an imprecise and/or uncertain evaluation. In geography, fuzzy informations about spatial organization, geographical space perception and human behavior are frequent. But the researcher limits his work to numerical data processing and he does not consider spatial fringe. Fuzzy spatial analysis makes it possible to include the interface of groups in classification. 2. Fuzzy numerical taxonomic method is settled by Deloche, Tranquis, Ponsard and Leung. Depending on the data and the method employed, groups derived may be mutually exclusive or they may overlap to a certain degree. Classification pattern can be derived for each degree of similarity/distance $\alpha$. By takina the values of $\alpha$ in ascending or descending order, the hierarchical classification is obtained. 3. Kyung-Nam Cities and Eups were classified by fuzzy discrete classification, fuzzy conjoint classification and cluster analysis according to the ratio of number of persons employed in industries. As a result, they were divided into several groups which had homogeneous characteristies. Fuzzy discrete classification and cluste-analysis give clear-cut boundary, but fuzzy conjoint classification delimit the edges and cores of urban classification. 4. The results of different methods are varied. But each method contributes to the revealing the transparence of spatial structure. Through the result of three kinds of classification, Chung-mu city which has special characteristics and the group of Industrial cities composed by Changwon, Ulsan, Masan, Chinhai, Kimhai, Yangsan, Ungsang, Changsungpo and Shinhyun are evident in common. Even though the appraisal of the fuzzy classification methods, this framework appears to be more realistic and flexible in preserving information pertinent to urban classification.