• Industrial Engineering and Management Systems
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• v.2 no.1
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• pp.55-62
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• 2003

This paper deals with the difficulties involved in analyzing and designing a management system to reduce the risks and improve the productivity of new product development. In this paper, a method is described to analyze user information and determine product specifications based on a stimulus-response model, the conjoint measurement of users needs, and product characteristics deployment. The proposed method can analyze the effect of a partial price on the contribution ratio based on the order of preference of product profiles through a smaller number of product profiles. The strengths and weaknesses of this method are examined as the method is applied to the case study of a mobile computer intended for personal use.

• Culinary science and hospitality research
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• v.12 no.2 s.29
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• pp.137-150
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• 2006

The aim of this study was to determine the relative importance of a set of attributes which influence purchase decision of leaf mustard kimchi such as color, package, taste, availability and price, and to identify tourist product factor combinations which confer the highest utility to tourists of each age group. Conjoint model was used for this study. The findings from this study were as follows. First, it was found that all age groups regarded taste and price as the very important factor. Second, it was found that the products with different attribute levels were preferred by age groups. Third, it was found that the most preferred product in each age group was significantly different by cluster. Finally, it was found that the most preferred simulation product was different by age groups.

• Journal of the Korean Operations Research and Management Science Society
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• v.31 no.3
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• pp.107-125
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• 2006

We introduce a two-stage game theoretic model to support decision making processes for product Positioning and pricing in competitive environment. In the first stage, firms decide on entry and product position, in the second stage, firms compete with price. 'Alpha rule' is used as a choice model. Demand parameters of the choice model are estimated by conjoint analysis. We investigate conditions for the existence of Nash price equilibria in the pricing game. Nash equilibria in the entry and positioning game are produced using a concept of stable sets. An example of the online game industry in Korea is examined.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.11
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• pp.1605-1614
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• 2002

The purpose of this study was to identify the consumers who use the level of price as the indicator of the product quality. In order to implement the purpose of this study, Jeans market had been segmented by the mixture regression model, and price response function was calibrated for each segment. Based on the types of price response function, segments were allocated into one of two groups; the group using the level of price as the quality indicator or the group not using the level of price as that. Then, characteristics of both groups were compared in terms of product attributes and demographic variables. Data were co]looted from the sample of the 23o undergraduate and graduate students in Seoul. For the data analysis, mixture regression model, conjoint analysis, and t-test were used. As a result, jeans market was divided into 5 segments. Segment 1,2,3 were allocated into the group not using the level of price as the quality indicator while segment 4,5 were done into the other group. Significant differences existed between two groups in product attributes, not in demographic variables. Mixture model and conjoint analysis were proved to be an effective set of tools in market segmentation.

• Journal of the East Asian Society of Dietary Life
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• v.16 no.3
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• pp.242-250
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• 2006

The purpose of this study was to identify tourist product factor combinations which confer the highest utility to tourists and to establish the relative importance of factors in terms of their contribution to total utility across gender. Among 250 questionnaires, 230 questionnaires were utilized for the analysis. $X^2$ analysis, Conjoint model, Max. Utility model, BTL model, Logit model, K-means cluster analysis, and one-way anova analysis were used for this study. The findings from this study were as follows. First, the Pearson's R and Kendall's tau statistics showed that the model fitted the data well across gender. Second, it was found that total respondents and three clusters regarded taste price as the very important factor across gender. Third, it was found that the male and female tourists most preferred product with light red color, shaped package, and highly pungent taste sold at a cheap price in factory. Fourth, it was found that the male tourists most preferred simulation product with light red color, shaped package, and highly pungent taste sold at a cheap price in factory. The female tourists most preferred simulation product with light red color, shaped package, and mild taste sold at a cheap price in factory. Finally, the results of the study provide some insights into the types of effective product designs that can be successfully developed by marketers.

• Journal of the Korean Society of Food Culture
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• v.22 no.6
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• pp.794-800
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• 2007

The purpose of this study was to measure the tourists' preference for alternative restaurants with different combinations of 4 attribute levels: origin description, food type, price and service guarantee. A total of 210 questionnaires were completed from tourists who visited Kwangyang, Suncheon and Yeosu during Jan. 2 - Jan. 15, 2007. Conjoint experiment method was used to develop hypothetical restaurants. Ordinal probit model was used to measure the effects of attribute levels on the tourists' preference. Results of the study demonstrated that the ordinal probit model analysis result for the data indicated excellent model fit. The effects of attribute levels (origin description, traditional food, fusion food, price, service guarantee) on the tourists' preference were statistically significant. As expected, estimates of marginal willingness to pay for origin description(3.063), food type(2.349), and service guarantee(2.356) were statistically significant. Moreover, tourists were more willing to pay for origin description than other attribute levels. Tourists also considered the origin description as the very important attribute. In conclusion, based on conjoint analysis, a model was proposed of marginal willingness to pay of attribute levels. It should be noted that the original model was modified and should, preferably, be validated in future research.

• Journal of Agricultural Extension & Community Development
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• v.16 no.3
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• pp.615-641
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• 2009

This study aims to develop Semangum tourism package that can be most suitable for the tourist. The data were obtained by a survey carried out between August, 17 and August, 24, 2009 with a sample of latent tourist of Semangum. Conjoint analysis has been used to estimate the relative importance of attributes. Four main attributes and two or three attributes levels for each determinant were chosen for conjoint analysis. Eleven model package were made using fractional factorial design, and presented to the latent tourist, who were asked to reply in order of their like. Results show that the most important attributes for tourist were in order of cost, connected tourism, accommodation and report activity.

• Journal of the Korean Institute of Landscape Architecture
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• v.23 no.2
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• pp.1-16
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• 1995

This study was carried out to suggest method which can be used to improve competitive power of theme parks. The characteristics of Hybrid Conjoint Analysis were described and its usefulness for identification of specific types of service theme parks have to provide was tested "Lotte World, " "Seoul land," and "farmland" were selected as study areas, and .7 attributes with 3 levels were utilized for analyses. Master design with 81 profiles was constructed to meet the requirement of ′Compromise Plan 1,′and data was collected by in-personal interviews on the study areas. Respondents were grouped by cluster analysis, and their characteristics were analyzed by discriminant analysis. Then, part-worth of each attribute . was estimated by stagewise estimation model Calibrated model of each group did not show part-worths of attributes clearly because both main effects and 2-way interaction effects were included in the models. Therefore, calibrated models′ coefficients were used to calculate utilities of all possible combinations of attributes levels. The results showed that managers of theme parks have several options for providing a new service: the combination of attribute levels with the highest utility is they however, they can choose the other combinations with next highest utlities is they can not afford it. Several suggestions were described to cope with the problems when Hybrid Conjoint Analysis is applied to landscape architectural study.

• Journal of Technology Innovation
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• v.15 no.1
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• pp.65-86
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• 2007

The purpose of the current study is to suggest a reliable starting point for roadmapping to overcome two common shortcomings of previous literatures that they do not demonstrate a robust methodology for roadmap and they describe the roadmapping process in the abstract. The proposed methodology for roadmapping considers four important business- and market-related factors: consumer requirements, engineering characteristics, the gap between the roadmapped technology and competing technologies, and future changes in consumer preferences. We capture consumer preferences using conjoint analysis and interconnect the above four factors using QFD (Quality Function Deployment). The model is applied to power line communications (PLC). The results show that there is a significant difference between priorities assigned to the engineering characteristics by expert alone and priorities determined by the roadmapping model.

• Korean Journal of Organic Agriculture
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• v.29 no.4
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• pp.523-538
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• 2021

The purpose of this paper is to analyze the difference of the value in main production areas affected through the hedonic price model and the conjoint analysis. In addition, the partial value of each attribute level, and the consumers' willingness to pay(WTP) for change in each attribute level are analyzed. For this, we compared the value of apple determined in Garak market with the value that consumers' WTP. The result showed that there is a gap between the market value and the consumers' preferences on apple. It means that it is necessary for the local branding to be more developed to receive higher sales. Furthermore, understanding the consumers' preferences on the apple attributes can enhance the consumer utility and the competitivity. As a result, this study provides an apple marketing direction for main production areas that has been changing due to climate change.