• 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.

• Environmental and Resource Economics Review
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• v.27 no.2
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• pp.215-231
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• 2018

It is expected that the korean power retail market will be reorganized someday. Thus, this study analyzes the changes in consumers' utility level when new companies enter the retail market and offer various bundled services. For the analysis, the utility function of the consumers was estimated using the conjoint choice method. The results of the analysis can be summarized in two-folds. First, consumer will still prefer KEPCO in electricity sales. Therefore, difficulties can be expected when new companies enter the power retail market. Second, consumers do not favor bundled services in the electricity market also. Bundled services would not provide as much as utility each service provide separately.

• 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.

• The Korean Journal of Applied Statistics
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• v.23 no.5
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• pp.967-975
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• 2010

Since the least squares estimation is not appropriate when multicollinearity exists among the regressors of the linear regression model, the principal components regression is used to deal with the multicollinearity problem. This article suggests a new procedure for the selection of suitable principal components. The procedure is based on the condition index instead of the eigenvalue. The principal components corresponding to the indices are removed from the model if any condition indices are larger than the upper limit of the cutoff value. On the other hand, the corresponding principal components are included if any condition indices are smaller than the lower limit. The forward inclusion method is employed to select proper principal components if any condition indices are between the upper limit and the lower limit. The limits are obtained from the linear model which is constructed on the basis of the conjoint analysis. The procedure is evaluated by Monte Carlo simulation in terms of the mean square error of estimator. The simulation results indicate that the proposed procedure is superior to the existing methods.

• CELLMED
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• v.2 no.4
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• pp.35.1-35.11
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• 2012

The homeopathic remedy Chelidonium majus 200C (Chel-200) is traditionally used by homeopathic practitioners in liver ailments arising out of hepatotoxicity. The present investigation was aimed at examining whether vitamin C (L-ascorbic acid or AA), used in both traditional and orthodox medicines, can show better effects when used in combination with Chel-200, in favorably modifying the toxicological effects induced by the chronic feeding of p-dimethylaminoazobenzene (p-DAB, initiator) and phenobarbital (PB, promoter) in mice for 7 days through 120 days to induce hepatotoxicity and liver tumors. Mice were euthanized at 7, 15, 30, 60, 90, and 120 days of carcinogen feeding to assess various cytogenetical, biochemical and histological changes occurring in them. In a placebo controlled study, Chel-200 or the respective placebo (Alcohol-200C or Alc, "vehicle" of homeopathic drug), was orally administered to toxicant-fed mice. Sub-groups of the mice receiving Chel-200 were also fed either AA or an Alc placebo and their individual and conjoint effects were studied against the respective controls, to evaluate if the combination therapy of Chel-200 with AA can be of additional help in the amelioration of the toxicities generated by the toxicants. The combined feeding of Chel-200 and AA appeared to reduce the cytotoxic and genotoxic effects significantly, when compared to either only the Chel-200 or AA fed group. A similar trend was also obtained in the results of scanning and transmission electron microscopic studies of the livers. Experiments in other mammalian models are warranted to confirm if these drugs in combination could be used in palliative care of human patients with liver diseases including cancer.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.10
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• pp.4328-4336
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• 2011

The aim of this study is to find changes of the attributes that influence the purchase of cut roses during recent five years(2007~2011) and suggest some implications on ways to promote cut roses marketing. For this purpose, a survey was conducted through the Internet among 1,100 randomly chosen people living in Seoul, Inchon and Gyeonggi Province in 2011. A total of 1,023 valid replies were received for the analysis of the survey which was carried out by the subsidiary consulting firm. The survey panels and estimation models to analyze changes of consumers' preference attributes during recent five years are same to them of Kim, et al.(2007). That is, empirical analysis tools such as ordered probit model, multinomial logit model, and conjoint analysis were used according to Kim, et al.(2007). This paper suggests several policy implications to set up the target market of cut roses and marketing mix strategy to specify the best 4P(product, price, place and promotion).

• The Korean Journal of Applied Statistics
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• v.22 no.3
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• pp.531-539
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• 2009

Logistic regression is widely used as a datamining technique for the customer relationship management. The maximum likelihood estimator has highly inflated variance when multicollinearity exists among the regressors, and it is not robust against outliers. Thus we propose the robust principal components logistic regression to deal with both multicollinearity and outlier problem. A procedure is suggested for the selection of principal components, which is based on the condition index. When a condition index is larger than the cutoff value obtained from the model constructed on the basis of the conjoint analysis, the corresponding principal component is removed from the logistic model. In addition, we employ an algorithm for the robust estimation, which strives to dampen the effect of outliers by applying the appropriate weights and factors to the leverage points and vertical outliers identified by the V-mask type criterion. The Monte Carlo simulation results indicate that the proposed procedure yields higher rate of correct classification than the existing method.

• Journal of the Korean Wood Science and Technology
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• v.33 no.2 s.130
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• pp.65-71
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• 2005

This study was performed to understand the interaction between Ophiostomataceae and basidiomycetes fungi during cultures, and whether the basidiomycetes fungi inhibit the growth and decolorize dark pigments of blue staining fungi. The conjoint cultivation was studied on 2% malt extract agar. The ability of basidial cultures to decolorize dark pigments of ophiostomatoid fungi was the main characteristics estimated during this study. More than half of basidial cultures were characterized by deadlock interaction with blue staining fungi. In the dual cultures, where basidial partners were presented by Agaricus bisporus(64), Laetiporus sulphureus(L01/89), Trametes versicolor(09) and unknown fungus(02), antagonism was found at the phase of primary contact of colonies. Replacement interaction resulted usually in decreasing dark colour of substrate was observed for 11 basidial cultures that were belonging mainly to white-rot fungi. Among them Abortiporus biennis(123), Antrodiella hoehnelii(S28/91), Bjerkandera fumosa (137), and Gleophyllum odoratum(124) were characterized by the absence of deadlock-phase: they began to grow over dark colonies of their partners just after primary contact. Basidiomycetes did not affect strongly the pigments of Ceratocystis spp. and Leptographium sibirica isolates, but completely decolorized colonies of Ophiostoma ips and to a smaller degree Ophiostoma minus. Antrodiella hoehnelii(S28/91), Bjerkandera fumosa(137), Gleophyllum odoratum(124) and Trametes versicolor(B18/91) cultures were found to be the most active in decreasing dark color of blue staining fungi colonies. The cultures were recommended for further development as agents of biopulping of wood chips and bio-control of blue stain in woods.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.192-201
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• 2020

This study commercialization of 5G will enable transformation of university education. This study identifies five attributes (device type, learning place, learning content, learning field and expense payment) and corresponding levels to study the impact of 5G in the future of university education. The attributes and the levels are then combined into few 5G education service alternatives for respondents to rank. 102 students ranked the alternatives based on their preferences and intent to use. Results indicate that the intent to use 5G-based education service was high with 86% and the most important factor was expense payment (37%), followed by learning field (26%), learning content (24%), device type (8%) and learning place (5%). Specifically, students preferred smart device, practical and experiential content, ubiquitous (no limitation of space and time) learning, practical education and free rate when adopting 5G-based education service. These will provide implications to accelerate adoption of and exploitation of 5G for innovating university education.

• 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.