• Journal of the Korean Society of Costume
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• v.58 no.7
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• pp.92-103
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• 2008

The purpose of this study was to subdivide the shoes market in Korea and to evaluate the size and competitive strength of each segment. In order to implement the purpose of this study, the data of 300 respondents were analyzed using CBC(Choice-Based Conjoint measurement) and mixture model. The part-worth utilities were then used to predict the impact of price change on the choice probability using the legit model. As a result, the mixture model showed the optimal segments number and the shoes market in Korea was divided into 4 segments. Each segment was identified by distinctive characteristics such as brands, price and demand for comfortable shoes. Also, as a result of grasping the competitive structure and the competitive strength by sub-markets, one group was sensitive to price according to each competitive situation, whereby the choice probability was greatly influenced, and the other group on the contrary. This study made it clear that discrimination between brands whose profits Increase sharply if price is lowered and brands whose profits do not increase even if price is lowered can help brand managers with their decision-making on price lowering.

• Journal of the East Asian Society of Dietary Life
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• v.22 no.2
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• pp.315-321
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• 2012

In this study, the product attributes that give customers the estimated benefits and products that can predict the customer's choice conjoint analysis techniques to identify the restaurant affinity markets a new dining concept was to develop. Questionnaire for this study of 400 non-response is negative and insincere characters, except for the final analysis, the questionnaire Part 309 was the target. Conjoint model used in this study Pearson's R is 0.928 ($p$<0.000), Kendall's tau is 0.750 ($p$<0.000) with an orthogonal plan was well suited for profiling attributes are extracted 16. Part of the relative importance of the value of the property to determine the result of analyzing the properties that are most important at the level of the respondents of the induct (38.46%), and followed by price (30.52%), Atmosphere (18.28%), and Exclusive space (12.73%) was followed. Portion of the property value for each analysis among industry preference for the Italian food was highest, a nature-friendly interior atmosphere had the highest affinity Average per price at 10,000 won~30,000 won or less than the amount of affinity was higher location of the restaurant alone, showed that space preferred. Through simulation in a virtual seafood restaurant nature-friendly image, average price per person ranging from 10,000 to 30,000won at an exclusive restaurant was most preferred.

• Journal of Agricultural Extension & Community Development
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• v.25 no.1
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• pp.45-56
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• 2018

This study analyzed the selection factors for cultivation practices in paddy rice farming. For the study, conjoint model with part-worth utility was adopted, where model profiles included three attributes of yield, production cost, and cultivation difficulties and two levels for each attribute. The value of each level was set up with experimental data obtained from National Institute of Crop Science. Ninety three rice farmers, who joined Korea Rural Economic Institute as farmer correspondences, were surveyed through internet with the profiles selected by factorial design. Result showed that rice farmers considered cultivation difficulties as the most important selection factor to adopt new cultivation practices followed by production cost and yield in consecutive order. This results were robust in spite of past experiences with new practices, willingness to adopt new practices in the future, imitative nature and government interventions.

• Korean journal of food and cookery science
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• v.19 no.5
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• pp.581-590
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• 2003

The purpose of this study was to identify the combinations of factors combinations conferring the highest utility of family restaurants to university students, and establish the relative importance of these factors in terms of their contribution to total utility. 196 of 200 questionnaires were utilized for the analysis. (Eds note: to whom were the questionnaires administered) Frequencies, crosstabs, and the conjoint, max. utility, BTL and Logit models, K-means cluster and one-way ANOVA analysesis, and the Friedman test were the statistical methods used for this study. The findings from this study were as follows: 1) the Pearson's R and Kendall's tau statistics (Eds note: these were not mentioned earlier) show that the model (Eds note: which model is this) fits the data well. 2) it was found that of all the respondents, especially the first and third clusters, regarded both the type of food and the price as very important factors. 3) it was found that all the respondents, especially the third cluster, most preferred a family restaurant (design and simulation) that provided less than 6 fusion and traditional foods. The first cluster most preferred family restaurant (design) that provided over 10 traditional and less than 6 ethnic foods. The second cluster most preferred a family restaurant (design and simulation) that provided over 10 traditional foods. 4) the results of the study have provided some insights into the effective types of family restaurant designs that can be successfully developed by those who manage menu variety, quality and type of food, price, and quality of service to university students dining at family restaurants.

• Journal of Global Scholars of Marketing Science
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• v.15 no.2
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• pp.183-201
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• 2005

The lowest price guarantee policy or price-matching guarantee is the pricing policy that promises to compensate more than the price difference if a consumer finds a lower price for the identical model he or she purchased and submits a certain proof. Most of Korean large discount stores emphasize their competitive price level by adopting the lowest price guarantee policy so that the entire Korean distribution industry is deeply influenced by the policy. The article is the study regarding the effects of the lowest price guarantee policy in Korean unique industry environments. The study investigated the effects of the policy on consumers' preferences of stores. By using the conjoint measurement model, it identified the main effects and interaction effects between the policy and other independent variables. The results showed the significant effects of the policy on consumers' preference of stores and identified the interaction effects between the distance from the residence and the policy, and between overall store price level and the policy.

• Journal of Korean Society for Quality Management
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• v.44 no.4
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• pp.799-811
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• 2016

Purpose: The conjoint analyst in marketing are interested in detecting whether there exist synergy or antagonistic effects between two attributes. In the cases where attributes have two or three levels, we research on the design of survey questionnaire to estimate all the main effect and as many two factor interaction effects as possible. Methods: We consider the balanced incomplete block (BIB) mixed level factorial design $2^f{\times}3^g$ or fractional factorial design. To reduce the number of questions in a questionnaire, we propose the balanced incomplete block mixed level design with minimum aberration which is generated by implementing proc factex in SAS. Also, we propose using two or three level BIB factorial design instead of mixed level designs by transforming three level attributes into two attributes of two levels and two level attribute into three level attribute by using dummy level technique. Results: We propose three methods for designing survey questionnaire where the block and design generators are found with practical number of questions in a questionnaire. By analyzing all the respondents survey data generated by the simulation study, we find the proper model and do the concepts optimization. Conclusion: The proposed methods of designing survey questionnaires seem to perform well in the sense that the proper model, and then the optimal concept is found in a case study where all the respondents survey data are generated by the simulation study.

• Korean Journal of Organic Agriculture
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• v.16 no.2
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• pp.189-204
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• 2008

The objective of this paper is to analyze consumers' consumption behavior of environment-friendly mandarin and attributes of mandarin in Korea. It is also to measure consumers' marginal willingness to pay by the attributes of mandarin and to estimate the market-share by products of mandarin from the data surveyed by a survey research company. The questionnaires for consumers were given randomly by interview to 500 married women lived in Seoul and to 200 wholesaler in Seoul, Busan, Daegu, Kwangju. The conjoint analysis method was used to analyze consumers' preference and suggest several implications for the rational production and marketing policy of mandarin.

• Journal of Technology Innovation
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• v.13 no.1
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• pp.73-89
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• 2005

As a scientific educational facility, the role of science museum has been enlarged. However there are few study to evaluate the public value of science museum. This paper applies a conjoint analysis to measuring the public value of science museum. At first, this paper chose the attributes of science museum and derived the marginal willingness to pay, As a result, the choice works for selecting a preferred option among three alternatives were within respondents' ability and the derived marginal willingness-to-pay estimates were statistically different from zero. This paper contributes to complementing the existing valuation methods by estimating the attributes of science museum and providing policy-makers with useful methodological framework and quantitative information in the decision-making process related to the policy of cultural facilities.

• Korean Management Science Review
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• v.22 no.1
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• pp.149-165
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• 2005

From the growth of internet technology, many e-commerce principles have been Introduced In airline industry. The computer reservation systems(CRS) has been considered as the first real-time business application and the earliest examples of e-commerce. in airlines, the early e-business activity was to build the web site for providing flight Information to customers. Recently, many airlines are expanding the capability of the web site for selling tickets on the web to make use of the cheaper distribution channel. In this paper, we focus on the impacts of airline e-business being implemented in airline distribution channels. Using the conjoint analysis, we suggest a model for estimating the change of market sales for each distribution channel. With the empirical survey, we can find some implications on the e-business strategy and the effective internet marketing tools for airlines.

• Korean Management Science Review
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• v.27 no.3
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• pp.149-160
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• 2010

This paper focuses on frequent flyer programs (FFPs), which have long been used by most airlines as a powerful marketing tool. Since the preference for FFPs reward services and the customer perceived values of mileage points differ among FFPs members, airlines should design a customer-oriented reward service based on customer preference to motivate the use of mileage points. The intention for using mileage points is affected by various kinds of attributes such as reword items, consuming mileage points for rewards and time of usage. In this paper, we focus on evaluating customer perceived values of attributes of FFPs reward services. A conjoint analysis model is applied to get the preference value of each attribute. Some empirical experiments are conducted in relation to Korean customers. From the empirical survey, the preference values of attributes are evaluated for different scenarios with respect to the number of mileage points. With the preference values of attributes, we can find several implications for airlines regarding the development of various FFPs strategies.